MECIN PUBLIC CONNECTION
library(readxl)
library(sjPlot)
library(ggthemes)
library(readxl)
library(FactoInvestigate)
library(foreign)
library(soc.ca)
library(summarytools)
library(seriation)
library(grid)
library(table1)
library(descr)
# library(corrr)
library(corrplot)
#library(MASS)
library(dplyr)
library(car)
library(FactoMineR)
library(factoextra)
library(gridExtra)
library(tab)
options(max.print=99999)
options(width = 500)Read data
setwd("/Users/janfredrikhovden/Dropbox/DBXPAGAANDEARBEID/Statistikk/SPADprosjekt/MECIN") # change to preferred local directory
#mecin<-read.spss("MeCIn103.sav", to.data.frame=TRUE)
mecin<-read.dta("MeCin104o.dta")
mecin<-data.frame(mecin) # convert to data frame
#lag delutval
#mecin <-mecin %>% filter(alder < 36) Rekodingar og nye variablar
mecin$utdtype<-car::recode(mecin$Q31_fag, "'Ingeniørfag eller andre teknologiske fag'='hardsubj'; 'Håndverksfag'='vocational';'Jus'='hardsubj'; 'Naturvitenskap'='hardsubj';'Realfag'='hardsubj'; 'Helse-, sosial- og omsorgsfag'='softsubj';'Økonomi og administrasjon'='hardsubj';'Psykologi'='softsubj';'Samfunnsvitenskap'='softsubj'; 'Kultur'='softsubj';'Humaniora'='softsubj';'Sikkerhetsfag (millitærutdanning, politi o.l.)'='hardsubj';else=NA")
# feilimport, NA er veit ikkje-kategoriar
mecin$Q50a_har_tillit<-car::recode(mecin$Q50a_har_tillit, "NA='Vet ikke'")
mecin$Q50b_usikker_partier<-car::recode(mecin$Q50b_usikker_partier, "NA='Vet ikke'")
mecin$Q50c_brenner_ikke<-car::recode(mecin$Q50c_brenner_ikke, "NA='Vet ikke'")
mecin$Q50d_ingen_parti<-car::recode(mecin$Q50d_ingen_parti, "NA='Vet ikke'")
mecin$Q50e_politikk_lite_relevant<-car::recode(mecin$Q50e_politikk_lite_relevant, "NA='Vet ikke'")
mecin$Q50f_gjor_ingen_forskjell<-car::recode(mecin$Q50f_gjor_ingen_forskjell, "NA='Vet ikke'")
mecin$Q50g_plikt_stemme<-car::recode(mecin$Q50g_plikt_stemme, "NA='Vet ikke'")
mecin$Q50h_mistro_demokrati<-car::recode(mecin$Q50h_mistro_demokrati, "NA='Vet ikke'")
mecin$Q50i_god_forstaelse<-car::recode(mecin$Q50i_god_forstaelse, "NA='Vet ikke'")
mecin$Q50j_stoler_pa_<-car::recode(mecin$Q50j_stoler_pa_, "NA='Vet ikke'")
mecin$Q50k_kan_pavirke<-car::recode(mecin$Q50k_kan_pavirke, "NA='Vet ikke'")
mecin$Q50l_kan_finne_info<-car::recode(mecin$Q50l_kan_finne_info, "NA='Vet ikke'")
mecin$Q50m_ubrukt_engasjement<-car::recode(mecin$Q50m_ubrukt_engasjement, "NA='Vet ikke'")
mecin$Q50n_ubehagelig_spurt<-car::recode(mecin$Q50n_ubehagelig_spurt, "NA='Vet ikke'")
mecin$Q50o_andre_forstar_ikke<-car::recode(mecin$Q50o_andre_forstar_ikke, "NA='Vet ikke'")
mecin$Q50p_folkeavstemminger<-car::recode(mecin$Q50p_folkeavstemminger, "NA='Vet ikke'")
mecin$Q50q_eksperter<-car::recode(mecin$Q50q_eksperter, "NA='Vet ikke'")
mecin$Q50r_venner_forventer<-car::recode(mecin$Q50r_venner_forventer, "NA='Vet ikke'")
mecin$Q50s_vite_hva_som_snakkes_om<-car::recode(mecin$Q50s_vite_hva_som_snakkes_om, "NA='Vet ikke'")
mecin$Q50t_behov_infomert<-car::recode(mecin$Q50t_behov_infomert, "NA='Vet ikke'")
mecin$Q50u_nyheter_komplisert<-car::recode(mecin$Q50u_nyheter_komplisert, "NA='Vet ikke'")
mecin$Q50v_for_mye_informasjon<-car::recode(mecin$Q50v_for_mye_informasjon, "NA='Vet ikke'")
mecin$Q50w_skjerme_mot_nyheter<-car::recode(mecin$Q50w_skjerme_mot_nyheter, "NA='Vet ikke'")
mecin$Q50x_lite_relevant<-car::recode(mecin$Q50x_lite_relevant, "NA='Vet ikke'")
mecin$Q59a_oppdatering_sosial<-car::recode(mecin$Q59a_oppdatering_sosial, "NA='Aldri'" )
mecin$Q59b_orientering_sosial<-car::recode(mecin$Q59b_orientering_sosial, "NA='Aldri'" )
mecin$Q59c_orientering_kultur<-car::recode(mecin$Q59c_orientering_kultur, "NA='Aldri'" )
mecin$Q59d_arrangement_invitasjoner<-car::recode(mecin$Q59d_arrangement_invitasjoner, "NA='Aldri'" )
mecin$Q59e_organisering_aktivitet<-car::recode(mecin$Q59e_organisering_aktivitet, "NA='Aldri'" )
mecin$Q59f_oppdateringer_jobb<-car::recode(mecin$Q59f_oppdateringer_jobb, "NA='Aldri'" )
mecin$Q59g_lengre_innlegg<-car::recode(mecin$Q59g_lengre_innlegg, "NA='Aldri'" )
mecin$Q59h_starter_debatt<-car::recode(mecin$Q59h_starter_debatt, "NA='Aldri'" )
mecin$Q59i_deltar_debatt<-car::recode(mecin$Q59i_deltar_debatt, "NA='Aldri'" )
mecin$Q59j_dele_nyheter<-car::recode(mecin$Q59j_dele_nyheter, "NA='Aldri'" )
mecin$Q59k_kommenterer_nyheter<-car::recode(mecin$Q59k_kommenterer_nyheter, "NA='Aldri'" )
recode.list <- colnames(dplyr::select(mecin, Q27a_diskutere:Q27f_avansert_fortellerteknikk))
mecin[, recode.list] <- sapply(mecin[, recode.list], car::recode, "NA='Manglar'")
mecin$komaarand<- (mecin$Q29kommune_ar /mecin$alder)
mecin$komaarand<-car::recode(mecin$komaarand,"0:0.24999='0-24%'")
mecin$komaarand<-car::recode(mecin$komaarand,"0.25:0.49999='25-49%'")
mecin$komaarand<-car::recode(mecin$komaarand,"0.50:0.74999='50-74%'")
mecin$komaarand<-car::recode(mecin$komaarand,"0.75:5='75-100%'")
mecin$komaarand<-car::recode(mecin$komaarand,"NA='Manglar'")
mecin$Q31_fag<-car::recode(mecin$Q31_fag, "NA='Manglar'" )
mecin$Q34_bransje<-car::recode(mecin$Q34_bransje, "NA='Manglar'" )
mecin$Q35_offentlig_privat<-car::recode(mecin$Q35_offentlig_privat, "NA='Manglar'" )
mecin$r40inn4<-car::recode(mecin$r40inn4, "NA='Manglar'" )
mecin$mcabank<-car::recode(mecin$mcabank, "NA='Manglar'" )
mecin$r49polpar2<-mecin$r49polpar
mecin$r49polpar<-car::recode(mecin$r49polpar, "NA='Manglar'")
recode.list <- colnames(dplyr::select(mecin, Q62a_nyttig_for_andre:Q62j_rolle_i_samfunn,))
mecin[, recode.list] <- sapply(mecin[, recode.list], car::recode, "NA='Manglar'")
recode.list <- colnames(dplyr::select(mecin, Q63a_nyttig_nyhetsformidler:Q65g_ikke_samfunnsdebatt,))
mecin[, recode.list] <- sapply(mecin[, recode.list], car::recode, "NA='Manglar'")
recode.list <- colnames(dplyr::select(mecin, Q78a_nyhetsmedier_favoriserer:Q78b_nyhetsmedier_pavirket,))
mecin[, recode.list] <- sapply(mecin[, recode.list], car::recode, "NA='Manglar'")
mecin$r50tilpol5<-recode(mecin$Q50a_har_tillit,"'Helt enig'=4;'Delvis enig'=3;'Vet ikke'=2;'Delvis uenig'=1; 'Helt uenig'=0")
mecin$r50behovinfo5<-recode(mecin$Q50t_behov_infomert,"'Helt enig'=4;'Delvis enig'=3;'Vet ikke'=2;'Delvis uenig'=1; 'Helt uenig'=0")
mecin$ccapvol<-droplevels(mecin$ccapvol)Functions
scale_by_rank <- function(x) apply(x, 2, rank)
Mean <- function(x) base::mean(x, na.rm=TRUE) # Mean ignoring missing values
Sd<-function(x) base::sd(x, na.rm=TRUE) # SD ignoring missing values
delete.na <- function(DF, n=0) {
DF[rowSums(is.na(DF)) <= n,]
} # drop rows with a treshold for NAs
# Plot contribution to dimensions
plot_contribution_dimensions<-function(result,maxcontrib) {
p1<- fviz_contrib(result, "partial.axes", axes = 1, top=maxcontrib)
p2<-fviz_contrib(result, "group", axes = 1)
p3 <-fviz_contrib(result, "partial.axes", axes = 2, top=maxcontrib)
p4<-fviz_contrib(result, "group", axes = 2)
p5<- fviz_contrib(result, "partial.axes", axes = 3, top=maxcontrib)
p6<-fviz_contrib(result, "group", axes = 3)
p7<-fviz_contrib(result, "partial.axes", axes = 4, top=maxcontrib)
p8<-fviz_contrib(result, "group", axes = 4)
grid.arrange(p1,p3,p5,p7, nrow=2)
grid.arrange(p2,p4,p6,p8, nrow=2)
}
# Contribution from variables to factors
contribution_variables_factors<-function(result, akse, maxcontrib) {
p1<-fviz_contrib(res, choice = "quali.var", axes = akse, top = maxcontrib, palette = "jco")
p2<-fviz_contrib(res, choice = "quanti.var", axes = akse, top = maxcontrib, palette = "jco")
p1
p2
}PUBLIC CONNECTION
MFA Public connection
# data og ev. filtrering
dataMFA<-mecin
# dataMFA<-mecin %>% filter(alder > 24 & alder<66)
#rekodingar
recode.list <- colnames(dplyr::select(mecin, Q50a_har_tillit:Q50x_lite_relevant))
dataMFA[, recode.list] <- sapply(dataMFA[, recode.list], plyr::mapvalues, from=c("Helt enig","Delvis enig","Delvis uenig","Helt uenig","Vet ikke"), to=c(1,1,0,0,0))
dataMFA[, recode.list]<-data.frame(lapply(dataMFA[, recode.list] , type.convert), stringsAsFactors=FALSE)
recode.list <- colnames(dplyr::select(mecin, Q7a_disponere_fritid:Q7e_ute_venner))
dataMFA[, recode.list] <- sapply(dataMFA[, recode.list], plyr::mapvalues, from=c("5 dager eller mer","3-4 dager","1-2 dager","Sjeldnere","Aldri", "Vet ikke"), to=c(6,3.5,1.5,0.5,0,0.5))
dataMFA[, recode.list]<-data.frame(lapply(dataMFA[, recode.list] , type.convert), stringsAsFactors=FALSE)
dataMFA$Q32_stilling<-car::recode(dataMFA$Q32_stilling, "'Arbeider/operatør, ufaglært'='arb_ufag';'Arbeider/operatør, faglært'='arb_fag' ; 'Toppleder/ Daglig leder'='toppleiar'; 'Funksjonær, ledende stilling ellers'='funk_lei'; 'Funksjonær ellers'='funk_anna'; 'Selvstendig'='selvst'; 'Annet inntektsgivende arbeid'='anna_innt'; else='ikkjestilling'")
dataMFA$mcaoffpriv<-car::recode(dataMFA$mcaoffpriv, "'Offentlig, stat eller fylke'='offstatfylk';'Offentlig, kommune'='offkommune' ; 'Privat'='privat'; 'Annet'='annet'; NA='annet'")
dataMFA$mcahusinnt<-car::recode(dataMFA$mcahusinnt, "9:10='usvarinntekt'; NA='usvartinntekt'")
dataMFA$utdtype<-car::recode(dataMFA$utdtype, "NA='utdtypeoppgjeve'")
dataMFA$r40inn4<-car::recode(dataMFA$r40inn4, "NA='innukjend'")
dataMFA$mfa4kly<-car::recode(dataMFA$mfa4kly, "NA='klyuklass'")
recode.list <- colnames(dplyr::select(mecin, Q59a_oppdatering_sosial:Q59k_kommenterer_nyheter))
dataMFA[, recode.list] <- sapply(dataMFA[, recode.list], plyr::mapvalues, from=c("Flere ganger daglig","Daglig","Ukentlig","Sjeldnere","Aldri"), to=c(1,1,1,0,0))
dataMFA[, recode.list]<-data.frame(lapply(dataMFA[, recode.list] , type.convert), stringsAsFactors=FALSE) # konverterer karaktervektor til numerisk#v50pol<-select(mecin, Q50a_har_tillit:Q50q_eksperter)
# v50nyh<-select(mecin, Q50r_venner_forventer:Q50x_lite_relevant)
mecin.MFA<-dataMFA[, c("r5Q6a_papiravis", "r5Q6b_nettavis", "r5Q6c_nyhetsnettsteder", "r5Q6d_TVdirekte", "r5Q6e_TVopptak",
"r5Q6f_radio_direkte", "r5Q6g_radio_opptak", "r5Q6h_sos_medier","r5Q6i_dataspill", "r5Q6j_skjonnlitteratur", "r5Q6k_faglitteratur", "r5Q6l_musikk", "r5Q6m_film", "r5Q6n_TVserie", "r5Q6o_nyheterTV", "r5Q6p_nyheter_radio", "Q17a_Youtube",
"Q11_1_utenriksnyheter", "Q11_2_innenriksnyheter", "Q11_4_lokalnyheter_by_kom", "Q11_6_ledere_kommentarer",
"Q11_7_leserinnlegg_debatt_kronik", "Q11_8_portrettintervjuer", "Q11_9_politikk_andre_land", "Q11_10_nasjonal_politikk", "Q11_11_lokalpolitikk", "Q11_12_kriminalstoff", "Q11_13_neringslivstoff", "Q11_16_sport", "Q11_17_sosialomsorg", "Q11_18_fattigdom_utviklingsland", "Q11_19_natur_miljovern", "Q11_20_kulturanmeldelser", "Q11_21_kjendiser_",
"Q11_23_livsstil_", "Q11_24_samliv_helse_relasjoner", "Q11_25_uteliv_trender", "Q11_26_okonomitips", "Q11_27_bil_motor",
"Q11_28_data_ny_teknologi",
"Dagsreveyen", "Distriksnyheter", "Dagsnytt_18", "Debatten_NRK", "TV2nyhetene", "Urix", "Brennpunkt", "Nytt_pa_Nytt", "Lindmo", "Skavlan", "Folkeopplysningen", "Trygdekontoret", "Stjernekamp",
"Farmen", "Paradise_Hotel", "Senkveld", "Luksusfellen", "andenes_makt", "Ut_i_naturen", "Fodeavdelingen", "Deringenskulle", "Tid_for_hjem", "God_morgen_Norge", "Brille", "Top_Gear", "Game_of_Thrones", "Side_om_side",
"Skam", "The_Wire", "Modern_Family", "The_Crown", "Criminal_Minds", "Nobel", "Vikings", "Greys_Anatomy", "House_of_Cards",
"Kampen_om_tungtvannet", "Downton_Abbey", "Narcos", "Broen", "Medhjartetrette", "Big_Bang_Theory",
"Q14a_Adresseavisen", "Q14b_Aftenposten", "Q14c_BergensTidende", "Q14e_Dagbladet", "Q14g_DagensNeringsliv", "Q14h_Dagsavisen", "Q14j_Klassekampen", "Q14l_Nettavisen", "Q14o_StavangerAftenblad", "Q14p_VG", "Q14r_norske_aviser_annet", "Q14s_utenlandske_aviser", "Q14v_nettside_NRK", "Q14x_nettside_TV2", "Q14y_nettside_ABCnyheter", "Q14a_nettside_Sol_no",
"Q14c_nettside_BBC", "Q16a_LokalTV", "Q16b_NRK1", "Q16d_NRK3", "Q16f_NRK_NettTV", "Q16g_TV2", "Q16h_TV2_Zebra", "Q16i_TV_2_Nyhetskanalen", "Q16j_TV_2_Humor", "Q16k_TV_2_Livsstil", "Q16l_TV_2_Sport", "Q16m_TV_2_Sumo", "Q16n_TVNorge", "Q16o_FEM", "Q16p_Max", "Q16q_TV3", "Q16r_Viasat4", "Q16s_Vox", "Q17a_Youtube", "Q17b_Strommetjenester", "Q17c_Svenske_tv_kanaler", "Q17d_Danske_tv_kanaler", "Q17e_Eurosport",
"Q17h_Discovery_Channel", "Q17k_National_Geographic_Channel", "Q17l_BBC_World_News", "Q17m_CNN", "Q18a_NRK_P1", "Q18b_NRK_P2",
"Q18c_NRK_P3", "Q18d_NRK_P13", "Q18e_NRK_Alltid_Nyheter", "Q18f_NRK_Alltid_Klassisk", "Q18g_Nerradiosendinger_ikke_NRK",
"Q18h_Radio_P4", "Q18i_Radio_Norge", "Q18j_norske_radiokanaler_annet", "Q58a_Facebook", "Q58b_Twitter", "Q58c_Snapchat", "Q58d_Instagram",
"Q50r_venner_forventer","Q50s_vite_hva_som_snakkes_om","Q50t_behov_infomert","Q50u_nyheter_komplisert","Q50v_for_mye_informasjon","Q50w_skjerme_mot_nyheter","Q50x_lite_relevant",
"Q50a_har_tillit", "Q50b_usikker_partier", "Q50c_brenner_ikke", "Q50d_ingen_parti", "Q50e_politikk_lite_relevant", "Q50f_gjor_ingen_forskjell", "Q50g_plikt_stemme", "Q50h_mistro_demokrati", "Q50i_god_forstaelse", "Q50j_stoler_pa_", "Q50k_kan_pavirke", "Q50l_kan_finne_info", "Q50m_ubrukt_engasjement", "Q50n_ubehagelig_spurt", "Q50o_andre_forstar_ikke", "Q50p_folkeavstemminger", "Q50q_eksperter",
"rQ21a_gudstjeneste_religiost", "rQ21b_kino", "rQ21c_museum", "rQ21d_kunstutstilling", "rQ21e_teater_", "rQ21f_revy_standup", "rQ21g_konsert_klassisk", "rQ21h_konsert_annen", "rQ21i_festival_kunst_kultur", "rQ21j_kulturarrangement_annet", "rQ21k_idrettsarrangement", "rQ21l_bibliotek",
"Q71b_fagforbund", "Q71c_interesseorganisasjon", "Q71d_miljovern", "Q71e_bredskap", "Q71f_solidaritet", "Q71g_fadder", "Q71a_forening", "Q71b_velforening", "Q71c_kultur", "Q71e_friluftsliv", "Q71f_omsorg_inkludering", "Q71g_helse", "Q71h_motor_bat_bil", "Q71i_religion", "Q71j_human_etisk", "Q71k_idrettslag", "Q71l_hobbyforening",
"Q7a_disponere_fritid", "Q7b_hjemme", "Q7c_besok", "Q7d_nabo_snakk","Q7e_ute_venner", "r32ikkjeheime",
"Q47a_stemte", "Q47b_partilederdebatt", "Q47c_valgsending", "Q47d_avislesing", "Q47e_nettsider_parti", "Q47f_nyhetskilder_andre", "Q47g_diskusjon_jobb", "Q47h_diskusjon_venne_familie", "Q47i_valgomat", "Q47j_partiprogram", "Q47k_sosmedier_politikere_parti", "Q47m_politisk_reklame", "Q47n_sosmedier_dele_kommentere", "Q47o_sosmedier_statusoppdatering", "Q47p_leserinnlegg_debattinnlegg", "Q47q_oppfordre_stemmerett", "Q47r_pavirke_andre", "Q47s_politisk_mote", "Q47t_deltok_valgkamp",
"Q57a_interesseorganisasjon", "Q57b_politisk_partiarbeid", "Q57c_streik", "Q57d_demonstrasjon", "Q57e_kontaktet_politiker", "Q57f_kontaktet_media", "Q57g_personlig_protest", "Q57h_underskriftskamapnje", "Q57i_donert_penger", "Q57j_deltatt_markering",
"nordkorea", "catalonia", "velferdsprofitt", "SAS", "ulvejakt", "kommunesammen", "brexit", "listhaugsverige", "oljenord", "storeprivok", "russlandval", "formueskatt", "hijabnrk", "lokalsjukehus", "Hjorth", "krfvregj", "jensen", "nobellitt", "sykkelvm", "plastkvalen", "SSB", "co2budsj", "metoo", "syriaflykt", "voldvidg", "nikabforbod", "rumentigg", "statsbudsj",
"rutd3", "mcaoffpriv", "mcahusinnt", "mcakultheim", "utdtype",
"Q59a_oppdatering_sosial", "Q59b_orientering_sosial", "Q59c_orientering_kultur", "Q59d_arrangement_invitasjoner", "Q59e_organisering_aktivitet", "Q59f_oppdateringer_jobb", "Q59g_lengre_innlegg", "Q59h_starter_debatt", "Q59i_deltar_debatt", "Q59j_dele_nyheter", "Q59k_kommenterer_nyheter",
"resp_id",
"alderkjonn", "csoc2", "rutd3", "kjonnx", "stdalder", "ccapvol", "ccapcomp", "yrke2", "r32stilling","ISEI3grp", "ISEIrtot3")]
#ekstradata
ekstradata<-dplyr::select(mecin, Q3c_nettbrett,Q2d_smarttelefon,Q4c_papiravis_abo:Q4g_tidsskrift, Q6a_papiravis:Q6p_nyheter_radio,Q19viktigste_nyhetskilde, komaarand, Q31_fag, Q32_stilling, r40inn4,
Q43_1_Advokat_dommer, Q43_14_Journalist,Q43_18_Leder_i_kommuneadministra, Q43_23_Politiker_byrad_kommunest, Q43_34_Stortingspolitiker, Q43_17_Leder_i_stat,Q43_16_Leder_i_neringslivet,
r49polpar, Q68_foreldre_politisk_verv, Q69a_oppvekst_kultur:Q69c_oppvekst_okonomi,Q71m_studentsamfunn,Q71n_pensjonistforening, Q73_frivillig_arbeid,
Q78a_nyhetsmedier_favoriserer:Q78b_nyhetsmedier_pavirket)
ekstrasosmedier<-dplyr::select(mecin, Q62a_nyttig_for_andre:Q62j_rolle_i_samfunn, Q63a_nyttig_nyhetsformidler:Q65g_ikke_samfunnsdebatt)
mecin.MFA<-cbind(mecin.MFA, ekstradata, ekstrasosmedier) # legg til fleire supplementærpunkt
mecin.MFA<-mecin.MFA %>% filter(complete.cases(.))#obs: fjerna studentsamfunn, pensjonistforeining og politisk parti
# Platform, stoffområde, -TV, -kanal, haldningar, -kultur, organisasjon, -sosialt, stortingsval, aktivisme, saker, +sosrom
# res<-MFA(mecin.MFA, group=c(17, 23, 42, 57,7,17,12,17,6,19,10,28,5,11,1,11), type=c("n", "n", "n", "n", "s", "s","s","n", "s", "n", "n", "n", "n", "s", "s", "n"), ncp=5, name.group=c("Platform", "Stoffomraade", "TV", "Kanal", "Nyh.hald","Pol.hald","Kultur", "Organ.", "Sosialt", "Stortingsval", "Aktivisme", "Saker", "Sosrom", "Sosmedia", "id", "sup"), num.group.sup=c(3,4,7,9, 14:16), graph=FALSE)
# siste forsøk med kulturvariablar
# res<-MFA(mecin.MFA, group=c(17, 23, 42, 57,7,17,12,17,6,19,10,28,5,11,1,11), type=c("n", "n", "n", "n", "s", "s","s","n", "s", "n", "n", "n", "n","s", "s", "n"), ncp=5, name.group=c("Platform", "Stoffomraade", "TV", "Kanal", "Nyh.hald","Pol.hald","Kultur", "Organ.", "Sosialt", "Stortingsval", "Aktivisme", "Saker", "Sosrom", "Sosmedia", "id", "sup"), num.group.sup=c(3,4,9, 15:16), graph=FALSE)
# ENDELEG ANALYSE pr 14.februar:
# Platform, stoffområde, -TV, -kanal, haldningar, -kultur, organisasjon, -sosialt, stortingsval, aktivisme, saker, +sosrom +sosmedia
res<-MFA(mecin.MFA, group=c(17, 23, 42, 57,7,17,12,17,6,19,10,28,5,11,1,11,45,29), type=c("n", "n", "n", "n", "s", "s","s","n", "s", "n", "n", "n", "n","s", "s", "n", "n", "n"), ncp=5, name.group=c("Platform", "Stoffomraade", "TV", "Kanal", "Nyh.hald","Pol.hald","Kultur", "Organ.", "Sosialt", "Stortingsval", "Aktivisme", "Saker", "Sosrom", "Sosmedia", "id", "sup", "ekstrasup", "ekstrasos"), num.group.sup=c(3,4,7,9, 15:18), graph=FALSE)
eig.val <- get_eigenvalue(res)
head(eig.val)## eigenvalue variance.percent cumulative.variance.percent
## Dim.1 3.427697 6.126427 6.126427
## Dim.2 1.748126 3.124479 9.250906
## Dim.3 1.538389 2.749610 12.000516
## Dim.4 1.383391 2.472577 14.473092
## Dim.5 1.133286 2.025556 16.498648
## Dim.6 1.041694 1.861852 18.360500fviz_screeplot(res)
plot_contribution_dimensions(res,10)
# res$global.pca
# res$quali.var
# res$quali.var.sup
# res$separate.analyses
res$group## $Lg
## Platform Stoffomraade TV Kanal Nyh.hald Pol.hald Kultur Organ. Sosialt Stortingsval Aktivisme Saker Sosrom Sosmedia id sup ekstrasup ekstrasos MFA
## Platform 3.283934198 0.157654025 0.521887850 0.625125097 0.080348973 0.066034285 0.09102924 0.127142453 0.255327778 0.102827865 0.058440704 0.134776451 0.134720099 0.085686279 0.003667446 0.499273159 2.05096881 0.095717492 1.23452136
## Stoffomraade 0.157654025 2.191410436 0.397963739 0.320405973 0.206466877 0.179646091 0.13212392 0.188154741 0.062394467 0.229085396 0.125175084 0.395651809 0.173502755 0.044303177 0.004581788 0.336889549 0.41138440 0.091953185 1.13517917
## TV 0.521887850 0.397963739 4.316115581 0.697444183 0.179374576 0.199685713 0.20595600 0.238422193 0.253004277 0.180161470 0.103884908 0.246610320 0.273803596 0.100474961 0.008333237 0.686822600 0.91359653 0.120918724 0.71251024
## Kanal 0.625125097 0.320405973 0.697444183 3.377643148 0.099798378 0.126305922 0.20318101 0.225196344 0.223138393 0.152939338 0.120098136 0.168795064 0.244916430 0.092420217 0.008595261 0.562062701 0.91447933 0.124808010 0.63482881
## Nyh.hald 0.080348973 0.206466877 0.179374576 0.099798378 2.295383202 0.240254103 0.04584872 0.058292781 0.029844170 0.117398157 0.047524628 0.234806238 0.110525355 0.036405874 0.004414312 0.162076954 0.22301468 0.057327611 0.99991512
## Pol.hald 0.066034285 0.179646091 0.199685713 0.126305922 0.240254103 2.639430511 0.06647049 0.130471744 0.053014665 0.212840808 0.129822535 0.186651567 0.139855803 0.064954375 0.003279784 0.177770490 0.34542309 0.143284644 1.16403570
## Kultur 0.091029242 0.132123923 0.205955997 0.203181014 0.045848717 0.066470491 1.54682884 0.270184183 0.139748995 0.062964909 0.098222304 0.051374768 0.155134542 0.115896917 0.003633170 0.214125861 0.29786448 0.039573447 0.31777895
## Organ. 0.127142453 0.188154741 0.238422193 0.225196344 0.058292781 0.130471744 0.27018418 5.657266378 0.105977102 0.133503177 0.237610171 0.110903705 0.207597522 0.067537392 0.006890021 0.325566721 0.52658621 0.091399311 2.01840471
## Sosialt 0.255327778 0.062394467 0.253004277 0.223138393 0.029844170 0.053014665 0.13974900 0.105977102 2.719397553 0.057538547 0.035023716 0.054991037 0.368314369 0.092695783 0.003939544 0.633933392 0.53590666 0.034539051 0.32532677
## Stortingsval 0.102827865 0.229085396 0.180161470 0.152939338 0.117398157 0.212840808 0.06296491 0.133503177 0.057538547 1.596440843 0.374207575 0.260707460 0.108761048 0.138063521 0.004660057 0.185475167 0.33290684 0.200808509 0.95511234
## Aktivisme 0.058440704 0.125175084 0.103884908 0.120098136 0.047524628 0.129822535 0.09822230 0.237610171 0.035023716 0.374207575 2.028448520 0.107024098 0.085240865 0.099669444 0.003716606 0.138805700 0.26951126 0.149177938 0.96075105
## Saker 0.134776451 0.395651809 0.246610320 0.168795064 0.234806238 0.186651567 0.05137477 0.110903705 0.054991037 0.260707460 0.107024098 1.298347350 0.094311738 0.030848637 0.008050889 0.181696483 0.30627748 0.072835969 0.83263746
## Sosrom 0.134720099 0.173502755 0.273803596 0.244916430 0.110525355 0.139855803 0.15513454 0.207597522 0.368314369 0.108761048 0.085240865 0.094311738 6.041543415 0.056250830 0.006759528 1.712799132 1.44173961 0.077165551 2.08662234
## Sosmedia 0.085686279 0.044303177 0.100474961 0.092420217 0.036405874 0.064954375 0.11589692 0.067537392 0.092695783 0.138063521 0.099669444 0.030848637 0.056250830 1.634240375 0.001394113 0.098080399 0.18248679 0.280196356 0.65873962
## id 0.003667446 0.004581788 0.008333237 0.008595261 0.004414312 0.003279784 0.00363317 0.006890021 0.003939544 0.004660057 0.003716606 0.008050889 0.006759528 0.001394113 1.000000000 0.008020078 0.01817631 0.004569787 0.01383277
## sup 0.499273159 0.336889549 0.686822600 0.562062701 0.162076954 0.177770490 0.21412586 0.325566721 0.633933392 0.185475167 0.138805700 0.181696483 1.712799132 0.098080399 0.008020078 5.238636642 1.71278602 0.125122436 1.11399391
## ekstrasup 2.050968810 0.411384403 0.913596530 0.914479332 0.223014681 0.345423086 0.29786448 0.526586207 0.535906663 0.332906835 0.269511258 0.306277480 1.441739608 0.182486788 0.018176315 1.712786024 7.58054481 0.269571146 1.77679034
## ekstrasos 0.095717492 0.091953185 0.120918724 0.124808010 0.057327611 0.143284644 0.03957345 0.091399311 0.034539051 0.200808509 0.149177938 0.072835969 0.077165551 0.280196356 0.004569787 0.125122436 0.26957115 1.736585903 0.36755481
## MFA 1.234521360 1.135179169 0.712510244 0.634828811 0.999915118 1.164035695 0.31777895 2.018404714 0.325326769 0.955112344 0.960751049 0.832637464 2.086622341 0.658739618 0.013832769 1.113993915 1.77679034 0.367554809 3.51428915
##
## $RV
## Platform Stoffomraade TV Kanal Nyh.hald Pol.hald Kultur Organ. Sosialt Stortingsval Aktivisme Saker Sosrom Sosmedia id sup ekstrasup ekstrasos MFA
## Platform 1.000000000 0.058768685 0.138622405 0.187699376 0.029265470 0.022429374 0.040388951 0.029497829 0.085440640 0.044909392 0.022643118 0.065271162 0.030245531 0.036987595 0.002023795 0.120373769 0.411066063 0.04008168 0.363398089
## Stoffomraade 0.058768685 1.000000000 0.129400247 0.117769236 0.092057871 0.074696593 0.071762650 0.053437974 0.025559236 0.122478294 0.059370955 0.234561022 0.047683767 0.023410735 0.003095089 0.099429794 0.100933597 0.04713644 0.409056977
## TV 0.138622405 0.129400247 1.000000000 0.182665295 0.056988438 0.059162340 0.079708893 0.048249946 0.073849061 0.068633946 0.035109442 0.104176381 0.053618994 0.037831481 0.004011134 0.144440474 0.159719411 0.04416710 0.182947228
## Kanal 0.187699376 0.117769236 0.182665295 1.000000000 0.035841733 0.042302079 0.088890451 0.051517068 0.073625976 0.065862151 0.045882534 0.080604152 0.054217200 0.039337081 0.004676836 0.133619163 0.180724405 0.05153324 0.184259972
## Nyh.hald 0.029265470 0.092057871 0.056988438 0.035841733 1.000000000 0.097608603 0.024332036 0.016176474 0.011945259 0.061327783 0.022024656 0.136014930 0.029679759 0.018796886 0.002913637 0.046739550 0.053463285 0.02871363 0.352060085
## Pol.hald 0.022429374 0.074696593 0.059162340 0.042302079 0.097608603 1.000000000 0.032896723 0.033764322 0.019788121 0.103686775 0.056106474 0.100827982 0.035022845 0.031274856 0.002018785 0.047807432 0.077222887 0.06692624 0.382201543
## Kultur 0.040388951 0.071762650 0.079708893 0.088890451 0.024332036 0.032896723 1.000000000 0.091334631 0.068138287 0.040068311 0.055450695 0.036252111 0.050747357 0.072894168 0.002921222 0.075220957 0.086985604 0.02414541 0.136296671
## Organ. 0.029497829 0.053437974 0.048249946 0.051517068 0.016176474 0.033764322 0.091334631 1.000000000 0.027019193 0.044423408 0.070142254 0.040921099 0.035509528 0.022211762 0.002896791 0.059803631 0.080411091 0.02916027 0.452674668
## Sosialt 0.085440640 0.025559236 0.073849061 0.073625976 0.011945259 0.019788121 0.068138287 0.027019193 1.000000000 0.027615069 0.014912274 0.029265780 0.090867454 0.043970931 0.002388964 0.167957012 0.118032769 0.01589373 0.105236090
## Stortingsval 0.044909392 0.122478294 0.068633946 0.065862151 0.061327783 0.103686775 0.040068311 0.044423408 0.027615069 1.000000000 0.207947721 0.181084632 0.035020555 0.085476073 0.003688203 0.064135756 0.095696507 0.12060285 0.403235999
## Aktivisme 0.022643118 0.059370955 0.035109442 0.045882534 0.022024656 0.056106474 0.055450695 0.070142254 0.014912274 0.207947721 1.000000000 0.065948380 0.024349604 0.054742178 0.002609544 0.042581031 0.068729741 0.07948304 0.359840570
## Saker 0.065271162 0.234561022 0.104176381 0.080604152 0.136014930 0.100827982 0.036252111 0.040921099 0.029265780 0.181084632 0.065948380 1.000000000 0.033674127 0.021177884 0.007065589 0.069669378 0.097626879 0.04850677 0.389799927
## Sosrom 0.030245531 0.047683767 0.053618994 0.054217200 0.029679759 0.035022845 0.050747357 0.035509528 0.090867454 0.035020555 0.024349604 0.033674127 1.000000000 0.017901813 0.002750062 0.304455165 0.213040744 0.02382327 0.452846647
## Sosmedia 0.036987595 0.023410735 0.037831481 0.039337081 0.018796886 0.031274856 0.072894168 0.022211762 0.043970931 0.085476073 0.054742178 0.021177884 0.017901813 1.000000000 0.001090536 0.033520857 0.051846954 0.16632456 0.274876157
## id 0.002023795 0.003095089 0.004011134 0.004676836 0.002913637 0.002018785 0.002921222 0.002896791 0.002388964 0.003688203 0.002609544 0.007065589 0.002750062 0.001090536 1.000000000 0.003504043 0.006601698 0.00346775 0.007378879
## sup 0.120373769 0.099429794 0.144440474 0.133619163 0.046739550 0.047807432 0.075220957 0.059803631 0.167957012 0.064135756 0.042581031 0.069669378 0.304455165 0.033520857 0.003504043 1.000000000 0.271796439 0.04148374 0.259630037
## ekstrasup 0.411066063 0.100933597 0.159719411 0.180724405 0.053463285 0.077222887 0.086985604 0.080411091 0.118032769 0.095696507 0.068729741 0.097626879 0.213040744 0.051846954 0.006601698 0.271796439 1.000000000 0.07429765 0.344244673
## ekstrasos 0.040081683 0.047136440 0.044167100 0.051533239 0.028713631 0.066926235 0.024145412 0.029160265 0.015893733 0.120602847 0.079483040 0.048506766 0.023823270 0.166324558 0.003467750 0.041483741 0.074297647 1.00000000 0.148783656
## MFA 0.363398089 0.409056977 0.182947228 0.184259972 0.352060085 0.382201543 0.136296671 0.452674668 0.105236090 0.403235999 0.359840570 0.389799927 0.452846647 0.274876157 0.007378879 0.259630037 0.344244673 0.14878366 1.000000000
##
## $coord
## Dim.1 Dim.2 Dim.3 Dim.4 Dim.5
## Platform 0.09603097 0.53645963 0.09329435 0.14234755 0.12578464
## Stoffomraade 0.50347820 0.15932897 0.04346344 0.17658893 0.08501087
## Nyh.hald 0.38006025 0.07407252 0.10963519 0.20388162 0.05851360
## Pol.hald 0.42632560 0.03900033 0.16123097 0.07173799 0.09680565
## Organ. 0.28019962 0.16056067 0.13862900 0.30518260 0.17363616
## Stortingsval 0.56721958 0.08482608 0.13969092 0.06129725 0.02808005
## Aktivisme 0.36908723 0.20306688 0.20865949 0.03130074 0.04133782
## Saker 0.56850012 0.12740911 0.01781495 0.03066481 0.03495036
## Sosrom 0.16362021 0.24800950 0.29005900 0.25064829 0.25254917
## Sosmedia 0.07317535 0.11539264 0.33591179 0.10974110 0.23661722
##
## $contrib
## Dim.1 Dim.2 Dim.3 Dim.4 Dim.5
## Platform 2.801618 30.687692 6.064418 10.289756 11.099113
## Stoffomraade 14.688526 9.114271 2.825256 12.764934 7.501275
## Nyh.hald 11.087918 4.237252 7.126623 14.737817 5.163182
## Pol.hald 12.437668 2.230979 10.480507 5.185663 8.542036
## Organ. 8.174573 9.184729 9.011309 22.060475 15.321484
## Stortingsval 16.548124 4.852400 9.080338 4.430942 2.477756
## Aktivisme 10.767790 11.616259 13.563506 2.262610 3.647609
## Saker 16.585483 7.288324 1.158026 2.216641 3.083985
## Sosrom 4.773473 14.187161 18.854723 18.118400 22.284690
## Sosmedia 2.134825 6.600933 21.835294 7.932761 20.878871
##
## $cos2
## Dim.1 Dim.2 Dim.3 Dim.4 Dim.5
## Platform 0.002808201 0.0876354136 0.0026504296 0.0061702894 0.0048179335
## Stoffomraade 0.115674497 0.0115841919 0.0008620340 0.0142299457 0.0032978067
## Nyh.hald 0.062928837 0.0023903364 0.0052365436 0.0181092706 0.0014916208
## Pol.hald 0.068860883 0.0005762703 0.0098488771 0.0019497916 0.0035505139
## Organ. 0.013878050 0.0045569232 0.0033970469 0.0164631488 0.0053293435
## Stortingsval 0.201534590 0.0045071912 0.0122231615 0.0023535812 0.0004939044
## Aktivisme 0.067157429 0.0203289158 0.0214640816 0.0004829978 0.0008424249
## Saker 0.248925984 0.0125028808 0.0002444435 0.0007242517 0.0009408328
## Sosrom 0.004431247 0.0101809597 0.0139259487 0.0103987612 0.0105570843
## Sosmedia 0.003276526 0.0081477990 0.0690453676 0.0073692392 0.0342591649
##
## $dist2
## [1] 3.283934 2.191410 2.295383 2.639431 5.657266 1.596441 2.028449 1.298347 6.041543 1.634240
##
## $correlation
## Dim.1 Dim.2 Dim.3 Dim.4 Dim.5
## Platform 0.3747929 0.7434344 0.3510259 0.4303478 0.3907544
## Stoffomraade 0.7200767 0.5456913 0.3463458 0.5734684 0.3705882
## Nyh.hald 0.6338169 0.3150273 0.3450902 0.4857259 0.2729980
## Pol.hald 0.6770240 0.2716503 0.4529967 0.3896904 0.3734274
## Organ. 0.5472329 0.4818387 0.4444874 0.5814962 0.5000447
## Stortingsval 0.7582224 0.3678042 0.5314125 0.3084821 0.2769175
## Aktivisme 0.6100399 0.4784200 0.4955092 0.2816504 0.2584304
## Saker 0.7601972 0.3879509 0.3139502 0.4460128 0.2077426
## Sosrom 0.4325778 0.5468030 0.5490079 0.5710014 0.5449852
## Sosmedia 0.3258533 0.3606571 0.5989766 0.3557023 0.5199854
##
## $coord.sup
## Dim.1 Dim.2 Dim.3 Dim.4 Dim.5
## TV 0.215282694 0.3311918495 0.0963509036 1.386254e-01 0.0909414485
## Kanal 0.141998877 0.3315787826 0.1029091258 9.218182e-02 0.0490839748
## Kultur 0.107734321 0.1120607762 0.0193457623 8.275439e-02 0.0554590428
## Sosialt 0.015540202 0.2080601167 0.1425701460 4.324004e-02 0.0771260567
## id 0.004858114 0.0007024643 0.0005667805 4.091697e-05 0.0007226797
## sup 0.181046163 0.4780280655 0.2791351090 3.023829e-01 0.1803384395
## ekstrasup 0.328631447 0.5626936472 0.2159146438 2.338223e-01 0.2383535029
## ekstrasos 0.159960125 0.0638953479 0.1084125321 3.067721e-02 0.0231543066
##
## $cos2.sup
## Dim.1 Dim.2 Dim.3 Dim.4 Dim.5
## TV 1.073804e-02 2.541360e-02 2.150892e-03 4.452381e-03 1.916155e-03
## Kanal 5.969749e-03 3.255065e-02 3.135408e-03 2.515804e-03 7.132893e-04
## Kultur 7.503535e-03 8.118298e-03 2.419521e-04 4.427309e-03 1.988394e-03
## Sosialt 8.880565e-05 1.591860e-02 7.474540e-03 6.875423e-04 2.187407e-03
## id 2.360127e-05 4.934560e-07 3.212401e-07 1.674199e-09 5.222659e-07
## sup 6.256917e-03 4.362029e-02 1.487341e-02 1.745405e-02 6.208095e-03
## ekstrasup 1.424682e-02 4.176799e-02 6.149839e-03 7.212259e-03 7.494500e-03
## ekstrasos 1.473422e-02 2.350944e-03 6.768037e-03 5.419204e-04 3.087218e-04
##
## $dist2.sup
## [1] 4.316116 3.377643 1.546829 2.719398 1.000000 5.238637 7.580545 1.736586aksekorrRV<-res$group$RV # sjå http://factominer.free.fr/more/tutorial_2010_MFA.pdf for RV (=korrelasjon mellom to grupper)
sjt.corr(res$group$RV, triangle="lower")| Platform | Stoffomraade | TV | Kanal | Nyh.hald | Pol.hald | Kultur | Organ. | Sosialt | Stortingsval | Aktivisme | Saker | Sosrom | Sosmedia | id | sup | ekstrasup | ekstrasos | MFA | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Platform | |||||||||||||||||||
| Stoffomraade | 0.059 | ||||||||||||||||||
| TV | 0.139 | 0.129 | |||||||||||||||||
| Kanal | 0.188 | 0.118 | 0.183 | ||||||||||||||||
| Nyh.hald | 0.029 | 0.092 | 0.057 | 0.036 | |||||||||||||||
| Pol.hald | 0.022 | 0.075 | 0.059 | 0.042 | 0.098 | ||||||||||||||
| Kultur | 0.040 | 0.072 | 0.080 | 0.089 | 0.024 | 0.033 | |||||||||||||
| Organ. | 0.029 | 0.053 | 0.048 | 0.052 | 0.016 | 0.034 | 0.091 | ||||||||||||
| Sosialt | 0.085 | 0.026 | 0.074 | 0.074 | 0.012 | 0.020 | 0.068 | 0.027 | |||||||||||
| Stortingsval | 0.045 | 0.122 | 0.069 | 0.066 | 0.061 | 0.104 | 0.040 | 0.044 | 0.028 | ||||||||||
| Aktivisme | 0.023 | 0.059 | 0.035 | 0.046 | 0.022 | 0.056 | 0.055 | 0.070 | 0.015 | 0.208 | |||||||||
| Saker | 0.065 | 0.235 | 0.104 | 0.081 | 0.136 | 0.101 | 0.036 | 0.041 | 0.029 | 0.181 | 0.066 | ||||||||
| Sosrom | 0.030 | 0.048 | 0.054 | 0.054 | 0.030 | 0.035 | 0.051 | 0.036 | 0.091 | 0.035 | 0.024 | 0.034 | |||||||
| Sosmedia | 0.037 | 0.023 | 0.038 | 0.039 | 0.019 | 0.031 | 0.073 | 0.022 | 0.044 | 0.085 | 0.055 | 0.021 | 0.018 | ||||||
| id | 0.002 | 0.003 | 0.004 | 0.005 | 0.003 | 0.002 | 0.003 | 0.003 | 0.002 | 0.004 | 0.003 | 0.007 | 0.003 | 0.001 | |||||
| sup | 0.120 | 0.099 | 0.144 | 0.134 | 0.047 | 0.048 | 0.075 | 0.060 | 0.168 | 0.064 | 0.043 | 0.070 | 0.304 | 0.034 | 0.004 | ||||
| ekstrasup | 0.411 | 0.101 | 0.160 | 0.181 | 0.053 | 0.077 | 0.087 | 0.080 | 0.118 | 0.096 | 0.069 | 0.098 | 0.213 | 0.052 | 0.007 | 0.272 | |||
| ekstrasos | 0.040 | 0.047 | 0.044 | 0.052 | 0.029 | 0.067 | 0.024 | 0.029 | 0.016 | 0.121 | 0.079 | 0.049 | 0.024 | 0.166 | 0.003 | 0.041 | 0.074 | ||
| MFA | 0.363 | 0.409 | 0.183 | 0.184 | 0.352 | 0.382 | 0.136 | 0.453 | 0.105 | 0.403 | 0.360 | 0.390 | 0.453 | 0.275 | 0.007 | 0.260 | 0.344 | 0.149 | |
| Computed correlation used pearson-method with listwise-deletion. | |||||||||||||||||||
#akser
plot.MFA(res, axes=c(2, 1), choix="axes", new.plot=TRUE, habillage="group")
plot.MFA(res, axes=c(3, 4), choix="axes", new.plot=TRUE, habillage="group")
#bidrag frå variabelgrupper
plot.MFA(res, axes=c(2, 1), choix="group", new.plot=TRUE, lab.grpe=TRUE)
plot.MFA(res, axes=c(3, 4), choix="group", new.plot=TRUE, lab.grpe=TRUE)
# individsky
p1<-fviz(res, "ind", repel=FALSE, labelsize=0, axes=c(1,2))+
theme_tufte() + labs(title = "Individuals") +
theme(axis.text=element_text(size=12), axis.title=element_text(size=12,face="bold"))
p2<-fviz(res, "ind", repel=FALSE, axes=c(3,4), labelsize=0)+
theme_tufte() + labs(title = "Individuals") +
theme(axis.text=element_text(size=12), axis.title=element_text(size=12,face="bold"))
grid.arrange(p1,p2, nrow=1)
# klassene si plassering i rommet
p1<-fviz_mfa_ind(res, label=TRUE, axes=c(2,1), habillage=mecin.MFA$csoc2, addEllipses = TRUE, invisible="quali.var", ellipse.level = 0.3, geom="text", palette="Spectral") # obs Ellipse level
p2<-fviz_mfa_ind(res, label=TRUE, axes=c(3,4), habillage=mecin.MFA$csoc2, addEllipses = TRUE, invisible="quali.var", ellipse.level = 0.3, geom="text", palette="Spectral") # obs Ellipse level
grid.arrange(p1,p2, nrow=2)
# Bidrag frå variablane til aksene
contribution_variables_factors(res,1,30)
contribution_variables_factors(res,2,30)
contribution_variables_factors(res,3,30)
contribution_variables_factors(res,4,30)
# om ein ynskjer paragonar
# fviz_contrib(res, choice = "ind", axes = 1, top = 50)
# Bidrag av aksene til plan 1-2 og 3-4
p1<-fviz_contrib(res, choice="partial.axes", axes = 1:2, top=15)
p2<-fviz_contrib(res, choice="partial.axes", axes = 3:4, top=15)
grid.arrange(p1,p2, nrow=2)
# Bidrag frå kvant.variablar
fviz_mfa_var(res, "quanti.var", col.var = "contrib", axes=c(2,1),
gradient.cols = c("#00AFBB", "#E7B800", "#FC4E07"),
col.var.sup = "violet", repel = TRUE, labelsize=2,
geom = c("point", "text"), )
fviz_mfa_var(res, "quali.var", col.var = "contrib", axes=c(3,4),
gradient.cols = c("#00AFBB", "#E7B800", "#FC4E07"),
col.var.sup = "violet", repel = FALSE, labelsize=2,
geom = c("point", "text"))
fviz_mfa_var(res, "quali.var", pointsize = "contrib", axes=c(2,1),
col.var.sup = "violet", repel = TRUE, labelsize=2,
geom = c("point", "text"), select.var=list(contrib=60))
fviz_mfa_var(res, "quanti.var", pointsize = "contrib", axes=c(2,1),
col.var.sup = "violet", repel = TRUE, labelsize=2,
geom = c("point", "text"), select.var=list(contrib=40))
fviz_mfa_var(res, "quanti.var", pointsize = "contrib", axes=c(3,4),
col.var.sup = "violet", repel = TRUE, labelsize=2,
geom = c("point", "text"), select.var=list(contrib=40))
# plott av utvalde variablar
v<-colnames(dplyr::select(mecin, Q11_1_utenriksnyheter))
v<-c("Q50w_skjerme_mot_nyheter", "Q50x_lite_relevant")
fviz_mfa_var(res, "quali.var", pointsize = "contrib", axes=c(2,1),
col.var.sup = "violet", repel = FALSE, labelsize=2,
geom = c("point", "text"), select.var=list(name=v))
# Best forklarte variablar
fviz_mfa_var(res, "quali.var", col.var = "cos2", axes=c(2,1),
gradient.cols = c("#00AFBB", "#E7B800", "#FC4E07"),
col.var.sup = "violet", repel = TRUE, labelsize=2,
geom = c("point", "text"), select.var=list(cos2=0.7))
fviz_mfa_var(res, "quali.var", col.var = "cos2", axes=c(3,4),
gradient.cols = c("#00AFBB", "#E7B800", "#FC4E07"),
col.var.sup = "violet", repel = TRUE, labelsize=2,
geom = c("point", "text"), select.var=list(cos2=0.2))
# Kvantitative supplementærvariablar
fviz_mfa_var(res, "quanti.var", col.var = "white", axes=c(2,1),
col.var.sup = "black", repel = TRUE, labelsize=2,
geom = c("point", "text"), )
fviz_mfa_var(res, "quanti.var", col.var = "white", axes=c(3,4),
col.var.sup = "black", repel = TRUE, labelsize=2,
geom = c("point", "text"), )
## alder, kap.volum, utdanning og kjønn
# remove ,geom=c("text") to add individuals
p1<- fviz_mfa_ind(res, label="none", axes=c(2,1), habillage=mecin.MFA$stdalder, addEllipses = TRUE, invisible="quali.var",geom=c("text"))
p2<- fviz_mfa_ind(res, label="none", axes=c(2,1), habillage=mecin.MFA$ccapvol, addEllipses = TRUE, invisible="quali.var",geom=c("text"))
p3<- fviz_mfa_ind(res, label="none", axes=c(2,1), habillage=mecin.MFA$rutd3, addEllipses = TRUE, invisible="quali.var",geom=c("text"))
p4<- fviz_mfa_ind(res, label="none", axes=c(2,1), habillage=mecin.MFA$kjonnx, addEllipses = TRUE, invisible="quali.var",geom=c("text"))
grid.arrange(p1,p2,p3,p4, nrow=2)
p1<- fviz_mfa_ind(res, label="none", axes=c(3,4), habillage=mecin.MFA$stdalder, addEllipses = TRUE, invisible="quali.var",geom=c("text"))
p2<- fviz_mfa_ind(res, label="none", axes=c(3,4), habillage=mecin.MFA$ccapvol, addEllipses = TRUE, invisible="quali.var",geom=c("text"))
p3<- fviz_mfa_ind(res, label="none", axes=c(3,4), habillage=mecin.MFA$rutd3, addEllipses = TRUE, invisible="quali.var",geom=c("text"))
p4<- fviz_mfa_ind(res, label="none", axes=c(3,4), habillage=mecin.MFA$kjonnx, addEllipses = TRUE, invisible="quali.var",geom=c("text"))
grid.arrange(p1,p2,p3,p4, nrow=2)
#kapitalsamansetjing
p1<-fviz_mfa_ind(res, label="none", axes=c(2,1), habillage=mecin.MFA$ccapcomp, addEllipses = TRUE, invisible="quali.var")
p2<-fviz_mfa_ind(res, label="none", axes=c(3,4), habillage=mecin.MFA$ccapcomp, addEllipses = TRUE, invisible="quali.var")
grid.arrange(p1,p2, nrow=2)
MFA Public Connection Klyngeanalyse
# 4-klynge løysing
res.hcpc<-HCPC(res, nb.clust=4,consol=TRUE,min=3,max=12,graph=FALSE)
# fviz_dend(res.hcpc,show_labels = FALSE, k=20)
freq(res.hcpc$data.clust$clust, plot=FALSE) # antalet i klyngene## res.hcpc$data.clust$clust
## Frequency Percent
## 1 441 30.75
## 2 481 33.54
## 3 361 25.17
## 4 151 10.53
## Total 1434 100.00head(res.hcpc$call$t$inert.gain, n=10)## [1] 1.8419521 0.8642086 0.6293008 0.4091762 0.2924896 0.2608495 0.2408426 0.2350624 0.2300453 0.1930778res.hcpc$call$t$quot # the ratio between two successive within-group inertias (should be as small as possbile)## [1] 0.8830402 0.9035514 0.9305943 0.9466868 0.9497764 0.9511764 0.9499022 0.9483857 0.9543223 0.9581969res.hcpc$desc.axes # viser plassering på faktorane for overordna MFA ##
## Link between the cluster variable and the quantitative variables
## ================================================================
## Eta2 P-value
## Dim.1 0.68705917 0.000000e+00
## Dim.2 0.47691862 1.248560e-200
## Dim.3 0.37013445 5.330260e-143
## Dim.4 0.05256208 1.200425e-16
## Dim.5 0.02011138 2.172668e-06
##
## Description of each cluster by quantitative variables
## =====================================================
## $`1`
## v.test Mean in category Overall mean sd in category Overall sd p.value
## Dim.3 7.270054 0.3574398 -1.080222e-15 1.040524 1.240318 3.593438e-13
## Dim.2 6.328202 0.3316645 9.361120e-16 1.057349 1.322167 2.480336e-10
## Dim.1 -27.973338 -2.0529470 4.232241e-16 0.912673 1.851404 3.429836e-172
##
## $`2`
## v.test Mean in category Overall mean sd in category Overall sd p.value
## Dim.1 4.521160 0.31124468 4.232241e-16 0.9502760 1.851404 6.150163e-06
## Dim.5 2.297103 0.09092868 7.217309e-17 0.9225009 1.064559 2.161292e-02
## Dim.3 -4.055862 -0.18705403 -1.080222e-15 0.8885147 1.240318 4.994978e-05
## Dim.2 -24.947224 -1.22647714 9.361120e-16 0.7338264 1.322167 2.288738e-137
##
## $`3`
## v.test Mean in category Overall mean sd in category Overall sd p.value
## Dim.2 17.356191 1.0451148 9.361120e-16 0.8757741 1.322167 1.770888e-67
## Dim.1 11.101521 0.9360669 4.232241e-16 1.1207591 1.851404 1.233270e-28
## Dim.4 6.101127 0.3268178 -1.300895e-15 1.0962395 1.176176 1.053235e-09
## Dim.5 -4.358774 -0.2113281 7.217309e-17 1.0939350 1.064559 1.307932e-05
## Dim.3 -16.051823 -0.9067355 -1.080222e-15 0.7987301 1.240318 5.550933e-58
##
## $`4`
## v.test Mean in category Overall mean sd in category Overall sd p.value
## Dim.1 19.404666 2.7663630 4.232241e-16 1.369139 1.851404 7.047435e-84
## Dim.3 18.005944 1.7196923 -1.080222e-15 1.414241 1.240318 1.749920e-72
## Dim.2 4.318222 0.4396358 9.361120e-16 1.367397 1.322167 1.572915e-05
## Dim.5 3.485957 0.2857548 7.217309e-17 1.293428 1.064559 4.903798e-04
## Dim.4 -7.196243 -0.6517485 -1.300895e-15 1.482170 1.176176 6.189411e-13klynger<-NULL
klynger<-as.data.frame(res.hcpc$data.clust$clust) # lagre klyngene
klynger$resp_id<-mecin.MFA$resp_id
colnames(klynger)[colnames(klynger)=="res.hcpc$data.clust$clust"] <- "pcmfakly4"
klynger$pcmfa4_1<-res$ind$coord[,1]
klynger$pcmfa4_2<-res$ind$coord[,2]
klynger$pcmfa4_3<-res$ind$coord[,3]
klynger$pcmfa4_4<-res$ind$coord[,4]
mecin<-merge(mecin, klynger, "resp_id", all=TRUE)
mecin$pcmfakly4<-ordered(mecin$pcmfakly4, levels=c(1,2,3,4), labels=c("1låg", "2midtrad", "3midung", "4hog"))
fviz_cluster(res.hcpc, data = x, axes=c(2,1), ellipse.type = "convex", repel=FALSE, labelsize=3)+
theme_tufte() + labs(title = "Clusters (after MFA)") +
theme(axis.text=element_text(size=12), axis.title=element_text(size=12,face="bold"))
fviz_cluster(res.hcpc, data = x, axes=c(3,4), ellipse.type = "convex", repel=FALSE, labelsize=3)+
theme_tufte() + labs(title = "Clusters (after MFA)") +
theme(axis.text=element_text(size=12), axis.title=element_text(size=12,face="bold"))
p1<-fviz_cluster(res.hcpc, data = x, axes=c(2,1), ellipse.type = "confidence", repel=FALSE, labelsize=0, pointsize = 0, geom="text")+ggtitle("Confidence 1-2")
p2<-fviz_cluster(res.hcpc, data = x, axes=c(3,4), ellipse.type = "confidence", repel=FALSE, labelsize=0, pointsize = 0, geom="text")+ggtitle("Confidence 3-4")
p3<-fviz_cluster(res.hcpc, data = x, axes=c(2,1), ellipse.type = "euclid", repel=FALSE, labelsize=0, pointsize = 0, geom="text")+ggtitle("Euclid 1-2")
p4<-fviz_cluster(res.hcpc, data = x, axes=c(3,4), ellipse.type = "euclid", repel=FALSE, labelsize=0, pointsize = 0, geom="text")+ggtitle("Euclid 3-4")
grid.arrange(p1,p2,p3,p4, nrow=2)
head(res.hcpc$desc.var$category$`1`, n=50) # viser dei mest signifikante kategoriane som beskriv klyngene## Cla/Mod Mod/Cla Global p.value v.test
## Q11_10_nasjonal_politikk=Q11_10_nasjonal_politikk_0 54.17299 80.95238 45.95537 2.723714e-73 18.108645
## Q47d_avislesing=Q47d_avislesing_0 60.32064 68.25397 34.79777 3.685179e-69 17.577170
## statsbudsj=statsbudsj_0 49.80237 85.71429 52.92887 1.001142e-66 17.256429
## syriaflykt=syriaflykt_0 60.68376 64.39909 32.63598 8.965615e-64 16.859292
## krfvregj=krfvregj_0 52.85935 77.55102 45.11855 1.473868e-62 16.692995
## Q11_9_politikk_andre_land=Q11_9_politikk_andre_land_0 45.24887 90.70295 61.64575 2.366257e-58 16.104652
## russlandval=russlandval_0 62.65664 56.68934 27.82427 1.014870e-56 15.870465
## SSB=SSB_0 59.68820 60.77098 31.31102 6.643308e-56 15.752105
## velferdsprofitt=velferdsprofitt_0 53.46870 71.65533 41.21339 3.205692e-55 15.652272
## Q11_1_utenriksnyheter=Q11_1_utenriksnyheter_0 64.62396 52.60771 25.03487 6.750625e-55 15.604814
## brexit=brexit_0 57.11297 61.90476 33.33333 2.194989e-51 15.079931
## Q47h_diskusjon_venne_familie=Q47h_diskusjon_venne_familie_0 52.36486 70.29478 41.28312 3.562690e-50 14.894796
## oljenord=oljenord_0 51.04334 72.10884 43.44491 8.767409e-49 14.679157
## catalonia=catalonia_0 63.69048 48.52608 23.43096 1.543741e-47 14.483355
## Q11_6_ledere_kommentarer=Q11_6_ledere_kommentarer_0 42.32804 90.70295 65.89958 2.859303e-45 14.120015
## Q47b_partilederdebatt=Q47b_partilederdebatt_0 45.95635 81.17914 54.32357 1.297753e-44 14.013016
## metoo=metoo_0 57.89474 54.87528 29.14923 2.357356e-44 13.970569
## kommunesammen=kommunesammen_0 58.77863 52.38095 27.40586 3.501674e-43 13.777077
## listhaugsverige=listhaugsverige_0 48.78049 72.56236 45.74616 9.811665e-43 13.702479
## Urix=notUrix 43.26812 85.26077 60.59972 2.344250e-40 13.299051
## Q11_11_lokalpolitikk=Q11_11_lokalpolitikk_0 47.06724 74.60317 48.74477 5.332952e-40 13.237449
## Q47c_valgsending=Q47c_valgsending_0 48.54839 68.25397 43.23570 2.419514e-37 12.769743
## nordkorea=nordkorea_0 68.80734 34.01361 15.20223 9.984182e-37 12.658937
## Q11_7_leserinnlegg_debatt_kronik=Q11_7_leserinnlegg_debatt_kronik_0 44.76440 77.55102 53.27755 4.292716e-36 12.543912
## formueskatt=formueskatt_0 42.39257 82.76644 60.04184 7.299825e-34 12.130281
## Q11_2_innenriksnyheter=Q11_2_innenriksnyheter_0 67.64706 31.29252 14.22594 4.412514e-32 11.789673
## Q11_13_neringslivstoff=Q11_13_neringslivstoff_0 40.84967 85.03401 64.01674 9.435618e-31 11.528887
## Q47j_partiprogram=Q47j_partiprogram_0 39.91597 86.16780 66.38773 1.913629e-28 11.062192
## SAS=SAS_0 38.13559 91.83673 74.05858 4.607951e-28 10.983107
## voldvidg=voldvidg_0 46.48829 63.03855 41.70153 1.314931e-27 10.888002
## jensen=jensen_0 51.02506 50.79365 30.61367 2.357131e-27 10.834709
## nikabforbod=nikabforbod_0 41.72840 76.64399 56.48536 1.114943e-25 10.475881
## rutd3.1=rutd3.1_folkvidg 39.84632 82.31293 63.52859 2.330890e-24 10.184276
## rutd3=rutd3_folkvidg 39.84632 82.31293 63.52859 2.330890e-24 10.184276
## lokalsjukehus=lokalsjukehus_0 42.30254 71.65533 52.09205 1.536075e-23 9.999217
## Q47g_diskusjon_jobb=Q47g_diskusjon_jobb_0 39.09378 84.12698 66.17852 2.605299e-23 9.946759
## Q47q_oppfordre_stemmerett=Q47q_oppfordre_stemmerett_0 38.27038 87.30159 70.15342 3.300819e-23 9.923176
## nobellitt=nobellitt_0 36.37160 94.10431 79.56764 5.306187e-23 9.875699
## rumentigg=rumentigg_0 42.05607 71.42857 52.23152 1.011574e-22 9.810806
## Dagsnytt_18=notDagsnytt_18 39.97722 79.59184 61.22734 1.506423e-22 9.770543
## Q14b_Aftenposten=Q14b_Aftenposten_0 39.13978 82.53968 64.85356 4.101982e-22 9.668537
## Q47i_valgomat=Q47i_valgomat_0 44.67005 59.86395 41.21339 1.790001e-21 9.516564
## storeprivok=storeprivok_0 37.98604 86.39456 69.94421 2.987440e-21 9.463171
## ISEIrtot3=ISEIlow 49.04306 46.48526 29.14923 4.169236e-21 9.428266
## Dagsreveyen=notDagsreveyen 50.67751 42.40363 25.73222 6.492760e-21 9.381684
## Brennpunkt=notBrennpunkt 42.66467 64.62585 46.58298 5.864310e-20 9.146803
## plastkvalen=plastkvalen_0 43.75000 60.31746 42.39888 7.615884e-20 9.118518
## ISEI3grp=ISEIlaag 46.26263 51.92744 34.51883 7.798622e-20 9.115947
## sykkelvm=sykkelvm_0 40.32459 73.24263 55.85774 3.053197e-19 8.966776
## ccapvol=Low 48.62155 43.99093 27.82427 5.336377e-19 8.905046head(res.hcpc$desc.var$category$`2`, n=50)## Cla/Mod Mod/Cla Global p.value v.test
## Q6o_nyheterTV=Q6o_nyheterTV_5 dager eller mer 50.12136 85.86279 57.46165 1.861415e-58 16.119489
## r5Q6o_nyheterTV=nyhTV 50.12136 85.86279 57.46165 1.861415e-58 16.119489
## Q6d_TVdirekte=Q6d_TVdirekte_5 dager eller mer 48.47682 76.09148 52.64993 7.478996e-38 12.860809
## r5Q6d_TVdirekte=tvdirekte 48.47682 76.09148 52.64993 7.478996e-38 12.860809
## stdalder=60+ 55.60345 53.63825 32.35704 1.402054e-33 12.076718
## Q16b_NRK1=Q16b_NRK1_NRK1 39.40928 97.08940 82.63598 2.155699e-30 11.457532
## Q11_11_lokalpolitikk=Q11_11_lokalpolitikk_Lokalpolitikk 46.80272 71.51767 51.25523 2.831673e-28 11.026996
## alderkjonn=60+ M 63.20000 32.84823 17.43375 2.742233e-26 10.607767
## Q32_stilling=Alderspensjonist 59.66102 36.59044 20.57183 3.011303e-25 10.381461
## r32stilling=alderspensj 59.66102 36.59044 20.57183 3.011303e-25 10.381461
## SSB=SSB_SSB 41.92893 85.86279 68.68898 3.364236e-25 10.370877
## Q6a_papiravis=Q6a_papiravis_5 dager eller mer 54.20792 45.53015 28.17294 2.094946e-24 10.194651
## r5Q6a_papiravis=papiravis 54.20792 45.53015 28.17294 2.094946e-24 10.194651
## Q6p_nyheter_radio=Q6p_nyheter_radio_5 dager eller mer 47.71654 62.99376 44.28173 3.750153e-24 10.137916
## r5Q6p_nyheter_radio=nyhradio 47.71654 62.99376 44.28173 3.750153e-24 10.137916
## Q16g_TV2=Q16g_TV2_TV 2 40.62500 89.18919 73.64017 1.786169e-23 9.984267
## Q18a_NRK_P1=Q18a_NRK_P1_Radio - NRK P1 47.64228 60.91476 42.88703 1.326850e-22 9.783394
## Skam=notSkam 40.32258 88.35759 73.50070 2.460037e-21 9.483453
## Q6f_radio_direkte=Q6f_radio_direkte_5 dager eller mer 46.11940 64.24116 46.72245 2.816489e-21 9.469328
## r5Q6f_radio_direkte=radiodirekt 46.11940 64.24116 46.72245 2.816489e-21 9.469328
## Q17b_Strommetjenester=Q17b_Strommetjenester_0 43.92405 72.14137 55.09066 9.871712e-21 9.337412
## Q57h_underskriftskamapnje=Q57h_underskriftskamapnje_0 42.79015 75.88358 59.48396 5.748040e-20 9.148967
## ccapcomp=Econ 51.16279 45.73805 29.98605 8.593781e-20 9.105414
## Q16i_TV_2_Nyhetskanalen=Q16i_TV_2_Nyhetskanalen_TV 2 Nyhetskanalen 49.58506 49.68815 33.61227 1.461140e-19 9.047623
## jensen=jensen_Saken mot politimann Erik Jensen 40.70352 84.19958 69.38633 3.934052e-19 8.938804
## Modern_Family=notModern_Family 39.01786 90.85239 78.10321 2.234404e-18 8.744785
## Q4c_papiravis_abo=Q4c_papiravis_abo_Abonnement på papiravis 46.15385 57.38046 41.70153 1.558659e-17 8.522708
## Dagsreveyen=Dagsreveyen 39.53052 87.52599 74.26778 1.928777e-17 8.498004
## kommunesammen=kommunesammen_Kommunesammenslåing 39.76945 86.07069 72.59414 3.423522e-17 8.431127
## nordkorea=nordkorea_Situasjonen i Nord-Korea 37.66447 95.21830 84.79777 3.564652e-17 8.426399
## Q11_2_innenriksnyheter=Q11_2_innenriksnyheter_Innenriksnyheter 37.47967 95.84200 85.77406 4.004793e-17 8.412758
## krfvregj=krfvregj_KrFs og Venstres rolle i et regjeringssamarbeid etter valge 42.94790 70.27027 54.88145 4.353186e-17 8.402972
## Q57d_demonstrasjon=Q57d_demonstrasjon_0 36.63826 98.33680 90.02789 5.150659e-17 8.383203
## Q11_13_neringslivstoff=Q11_13_neringslivstoff_Næringslivstoff 47.48062 50.93555 35.98326 1.012711e-16 8.303286
## catalonia=catalonia_Folkeavstemmingen om løsrivelse for Catalonia i Spania 38.97996 88.98129 76.56904 1.714087e-16 8.240558
## Distriksnyheter=Distriksnyheter 40.94828 79.00208 64.71409 1.998721e-16 8.222159
## Q11_27_bil_motor=Q11_27_bil_motor_Bil / motor 50.51546 40.74844 27.05718 3.821269e-16 8.144096
## statsbudsj=statsbudsj_Debatten om det nye statsbudsjettet 44.29630 62.16216 47.07113 3.823136e-16 8.144037
## Q11_16_sport=Q11_16_sport_Sport 45.27687 57.79626 42.81729 4.639065e-16 8.120594
## r49polpar=r49polpar_Høyre 54.34783 31.18503 19.24686 2.029168e-15 7.939550
## russlandval=russlandval_Etterforskning av mulig russisk innblanding i det amerikans 39.32367 84.61538 72.17573 1.312096e-14 7.704643
## brexit=brexit_Brexit og EUs fremtid 40.06276 79.62578 66.66667 4.059147e-14 7.559085
## Game_of_Thrones=notGame_of_Thrones 38.99431 85.44699 73.50070 5.364728e-14 7.522722
## Q17e_Eurosport=Q17e_Eurosport_Eurosport 54.36508 28.48233 17.57322 6.083231e-14 7.506278
## sykkelvm=sykkelvm_Folkefesten i Bergen under sykkel-VM 44.07583 58.00416 44.14226 6.624162e-14 7.495112
## Q6i_dataspill=Q6i_dataspill_Aldri 43.23923 60.49896 46.93166 2.553308e-13 7.316074
## voldvidg=voldvidg_Problemer med økt vold på videregående skoler 41.02871 71.30977 58.29847 7.194098e-13 7.175695
## Q11_1_utenriksnyheter=Q11_1_utenriksnyheter_Utenriksnyheter 38.51163 86.07069 74.96513 1.041077e-12 7.124964
## Q47o_sosmedier_statusoppdatering=Q47o_sosmedier_statusoppdatering_0 35.74116 98.75260 92.67782 1.882160e-12 7.042947
## plastkvalen=plastkvalen_Hvalen med 30 plastposer i magen 40.92010 70.27027 57.60112 3.339235e-12 6.962653head(res.hcpc$desc.var$category$`3`, n=50)## Cla/Mod Mod/Cla Global p.value v.test
## r5Q6o_nyheterTV=nyhtvNEI 42.29508 71.46814 42.538354 6.685392e-38 12.869476
## utdtype=softsubj 50.54645 51.24654 25.523013 1.853268e-35 12.427506
## ccapcomp=Cult 46.75615 57.89474 31.171548 6.539893e-35 12.326277
## csoc2=High cult 64.91228 30.74792 11.924686 4.112185e-32 11.795608
## rutd3.1=rutd3.1_hog5 60.60606 33.24100 13.807531 1.154084e-30 11.511533
## rutd3=rutd3_hog5 60.60606 33.24100 13.807531 1.154084e-30 11.511533
## ccapvol=High 44.49244 57.06371 32.287308 6.969356e-30 11.355433
## Q11_20_kulturanmeldelser=Q11_20_kulturanmeldelser_Anmeldelser av kultur (f.eks film, kunst, musikk) 40.00000 68.69806 43.235704 1.475146e-29 11.289715
## r5Q6d_TVdirekte=tvdirNEI 38.43888 72.29917 47.350070 1.648868e-28 11.075538
## Q47h_diskusjon_venne_familie=Q47h_diskusjon_venne_familie_Diskuterte stortingsvalget med venner eller familie 35.15439 81.99446 58.716876 4.767284e-27 10.770053
## Q57j_deltatt_markering=Q57j_deltatt_markering_Deltatt i en markering av typen Earth Hour, FN-dagen eller 47.45763 46.53740 24.686192 1.255443e-26 10.680536
## Skam=Skam 46.05263 48.47645 26.499303 5.550091e-26 10.541676
## Q17b_Strommetjenester=Q17b_Strommetjenester_Strømmetjenester som Netflix, Nordisk HBO, Viaplay 38.50932 68.69806 44.909344 6.285617e-26 10.529968
## Q14b_Aftenposten=Q14b_Aftenposten_Aftenposten 40.67460 56.78670 35.146444 1.395876e-22 9.778261
## metoo=metoo_Detbatten om seksuell trakassering av kvinner (#Metoo) 31.69291 89.19668 70.850767 3.405677e-21 9.449465
## Q47g_diskusjon_jobb=Q47g_diskusjon_jobb_Diskuterte stortingsvalget på jobb 40.41237 54.29363 33.821478 1.236981e-20 9.313491
## Q57h_underskriftskamapnje=Q57h_underskriftskamapnje_Signert på underskriftskampanje (enten på papir eller nett) 38.03787 61.21884 40.516039 3.939711e-20 9.189691
## Q69a_oppvekst_kultur=Q69a_oppvekst_kultur_Helt enig 44.64286 41.55125 23.430962 1.816755e-19 9.023800
## mcakultheim=mcakultheim_Helt enig 44.64286 41.55125 23.430962 1.816755e-19 9.023800
## stdalder=Under 30 49.18699 33.51801 17.154812 1.851798e-19 9.021708
## Q47e_nettsider_parti=Q47e_nettsider_parti_Oppsøkte nettsidene til et eller flere av partiene 44.47761 41.27424 23.361227 4.234800e-19 8.930659
## Q47d_avislesing=Q47d_avislesing_Leste om valget i aviser (på papir eller nett) 32.19251 83.37950 65.202232 2.583552e-18 8.728376
## Q11_27_bil_motor=Q11_27_bil_motor_0 30.78394 89.19668 72.942817 1.286544e-17 8.544894
## Q11_19_natur_miljovern=Q11_19_natur_miljovern_Natur- og miljøvernstoff 37.16338 57.34072 38.842399 1.655728e-16 8.244702
## Game_of_Thrones=Game_of_Thrones 41.31579 43.49030 26.499303 2.655814e-16 8.188010
## alderkjonn=<30 K 56.39098 20.77562 9.274756 6.745461e-16 8.075040
## Q16g_TV2=Q16g_TV2_0 41.00529 42.93629 26.359833 1.211960e-15 8.003231
## Q47i_valgomat=Q47i_valgomat_Svarte på valgomat eller partitest 32.62159 76.17729 58.786611 2.140941e-15 7.932896
## Q19viktigste_nyhetskilde=Nettaviser/apper/e-aviser: gratis 36.64260 56.23269 38.633194 4.173511e-15 7.849605
## Modern_Family=Modern_Family 42.67516 37.11911 21.896792 7.957165e-15 7.768260
## r5Q6a_papiravis=papaviNEI 30.38835 86.70360 71.827057 2.397849e-14 7.627266
## Distriksnyheter=notDistriksnyheter 37.15415 52.07756 35.285914 3.135017e-14 7.592620
## Q11_18_fattigdom_utviklingsland=Q11_18_fattigdom_utviklingsland_Fattigdom i utviklingsland 41.36905 38.50416 23.430962 4.758285e-14 7.538385
## syriaflykt=syriaflykt_Håndteringen av flyktningestrømmen fra Syria 30.95238 82.82548 67.364017 5.667685e-14 7.515539
## r49polpar=r49polpar_Sosialistisk Venstreparti 57.40741 17.17452 7.531381 1.226275e-13 7.413912
## Q16h_TV2_Zebra=Q16h_TV2_Zebra_0 28.95189 93.35180 81.171548 1.315621e-13 7.404584
## Q16p_Max=Q16p_Max_0 30.25292 86.14958 71.687587 1.531234e-13 7.384416
## Q16i_TV_2_Nyhetskanalen=Q16i_TV_2_Nyhetskanalen_0 30.98739 81.71745 66.387727 1.663829e-13 7.373358
## Q11_1_utenriksnyheter=Q11_1_utenriksnyheter_Utenriksnyheter 29.76744 88.64266 74.965132 2.389626e-13 7.324964
## rutd3.1=rutd3.1_hog1_4 41.23077 37.11911 22.663877 2.691971e-13 7.308970
## rutd3=rutd3_hog1_4 41.23077 37.11911 22.663877 2.691971e-13 7.308970
## Q71n_pensjonistforening=Q71n_pensjonistforening_0 27.10843 99.72299 92.608089 4.633867e-13 7.235626
## Q71h_motor_bat_bil=Q71h_motor_bat_bil_0 27.62646 98.33795 89.609484 5.804719e-13 7.204992
## yrke2=Lærarar/lektorar grunn/vidg. 72.54902 10.24931 3.556485 6.379322e-13 7.192119
## Q17e_Eurosport=Q17e_Eurosport_0 28.68020 93.90582 82.426778 6.690022e-13 7.185625
## Q47j_partiprogram=Q47j_partiprogram_Leste i partiprogrammene til et eller flere av partiene 36.92946 49.30748 33.612273 7.812817e-13 7.164400
## Q47q_oppfordre_stemmerett=Q47q_oppfordre_stemmerett_Oppfordret andre til å bruke stemmeretten (i sosiale medier 37.61682 44.59834 29.846583 4.670629e-12 6.915243
## Q11_9_politikk_andre_land=Q11_9_politikk_andre_land_Politikk i andre land 35.27273 53.73961 38.354254 6.378711e-12 6.870925
## Q57g_personlig_protest=Q57g_personlig_protest_Protestert personlig (f.eks. ved å boikotte et produkt, gåt 44.24779 27.70083 15.760112 7.394925e-12 6.849808
## kjonnx=Kvinne 33.28488 63.43490 47.977685 9.989705e-12 6.806651head(res.hcpc$desc.var$category$`4`, n=50)## Cla/Mod Mod/Cla Global p.value v.test
## Q47n_sosmedier_dele_kommentere=Q47n_sosmedier_dele_kommentere_Delte eller kommenterte nyheter knyttet til valget eller no 48.18653 61.58940 13.458856 1.517770e-51 15.104270
## Q57b_politisk_partiarbeid=Q57b_politisk_partiarbeid_Deltatt i politisk partiarbeid 66.01942 45.03311 7.182706 1.112818e-47 14.505831
## Q57e_kontaktet_politiker=Q57e_kontaktet_politiker_Tatt kontakt med en politiker i forbindelse med en sak 46.59091 54.30464 12.273361 2.056649e-42 13.648646
## Q47s_politisk_mote=Q47s_politisk_mote_Deltok på politisk møte 77.27273 33.77483 4.602510 2.135637e-40 13.306018
## Q47t_deltok_valgkamp=Q47t_deltok_valgkamp_Deltok i valgkampen til et parti (valgbod/informasjon) 82.14286 30.46358 3.905160 1.743399e-38 12.972886
## Q47k_sosmedier_politikere_parti=Q47k_sosmedier_politikere_parti_Fulgte parti eller politikere på sosiale medier 34.18182 62.25166 19.177127 6.072289e-36 12.516406
## Q57f_kontaktet_media=Q57f_kontaktet_media_Tatt kontakt med avis/TV/radio i en sak som har engasjert d 46.57534 45.03311 10.181311 7.883311e-34 12.123983
## Q47r_pavirke_andre=Q47r_pavirke_andre_Prøvde å påvirke andre til å stemme et bestemt parti 37.21973 54.96689 15.550907 1.093431e-33 12.097149
## Q47o_sosmedier_statusoppdatering=Q47o_sosmedier_statusoppdatering_Skrev statusoppdatering(er) knyttet til valget i sosiale me 55.23810 38.41060 7.322176 1.407830e-33 12.076380
## Q62g_formidle_engasjement=Q62g_formidle_engasjement_Ønske om å få formidlet informasjon om saker jeg er engasje 29.57317 64.23841 22.873082 3.676311e-31 11.609763
## Q47q_oppfordre_stemmerett=Q47q_oppfordre_stemmerett_Oppfordret andre til å bruke stemmeretten (i sosiale medier 23.83178 67.54967 29.846583 3.537553e-24 10.143616
## Q57a_interesseorganisasjon=Q57a_interesseorganisasjon_Deltatt aktivt i en interesseorganisasjon eller kampanjegru 35.39326 41.72185 12.412831 1.229760e-22 9.791079
## Q62b_dele_synspunkt=Q62b_dele_synspunkt_Ønske om å dele mine synspunkter med andre 28.73134 50.99338 18.688982 8.314869e-22 9.595949
## Q62a_nyttig_for_andre=Q62a_nyttig_for_andre_Ønske om å dele informasjon som er nyttig for andre 24.27441 60.92715 26.429568 2.676508e-21 9.474652
## Q11_10_nasjonal_politikk=Q11_10_nasjonal_politikk_Nasjonal politikk 17.16129 88.07947 54.044630 4.788681e-21 9.413723
## Q62c_korrigere_debatt=Q62c_korrigere_debatt_Ønske om å delta i debatt der jeg mener andre tar feil 32.03883 43.70861 14.365411 5.143898e-21 9.406202
## statsbudsj=statsbudsj_Debatten om det nye statsbudsjettet 18.37037 82.11921 47.071130 8.709736e-21 9.350666
## Q57d_demonstrasjon=Q57d_demonstrasjon_Deltatt i en offentlig demonstrasjon 37.76224 35.76159 9.972106 1.387941e-20 9.301258
## Q65d_folger_sider_grupper=Q65d_folger_sider_grupper_Passer helt 34.50292 39.07285 11.924686 2.489201e-20 9.238953
## Q47f_nyhetskilder_andre=Q47f_nyhetskilder_andre_Oppsøkte andre nyhetskilder på nettet utenom de etablerte n 40.83333 32.45033 8.368201 2.719185e-20 9.229492
## Q57i_donert_penger=Q57i_donert_penger_Donert penger til en politisk organisasjon eller nettside 34.54545 37.74834 11.506276 1.387807e-19 9.053246
## Q43_23_Politiker_byrad_kommunest=Q43_23_Politiker_byrad_kommunest_Politiker i byråd eller kommunestyre 20.18868 70.86093 36.959554 4.246683e-19 8.930349
## Q47h_diskusjon_venne_familie=Q47h_diskusjon_venne_familie_Diskuterte stortingsvalget med venner eller familie 16.03325 89.40397 58.716876 3.001935e-18 8.711381
## velferdsprofitt=velferdsprofitt_Debatten om velferdsprofitører og private tjenestetilbydere 16.01423 89.40397 58.786611 3.480881e-18 8.694589
## Q11_11_lokalpolitikk=Q11_11_lokalpolitikk_Lokalpolitikk 17.14286 83.44371 51.255230 3.751798e-18 8.686074
## Q47j_partiprogram=Q47j_partiprogram_Leste i partiprogrammene til et eller flere av partiene 20.74689 66.22517 33.612273 5.007037e-18 8.653211
## formueskatt=formueskatt_Debatten om formueskatt 19.19721 72.84768 39.958159 5.719547e-18 8.638020
## Q62h_fremsta_informert=Q62h_fremsta_informert_0 16.91079 84.10596 52.370990 7.577221e-18 8.605821
## Q65e_naturlig_delta=Q65e_naturlig_delta_Passer helt 46.15385 23.84106 5.439331 7.292865e-17 8.342188
## storeprivok=storeprivok_Jonas Gahr Støres privatøkonomi 21.34571 60.92715 30.055788 9.039209e-17 8.316771
## Q47e_nettsider_parti=Q47e_nettsider_parti_Oppsøkte nettsidene til et eller flere av partiene 23.58209 52.31788 23.361227 2.290537e-16 8.205804
## Q11_9_politikk_andre_land=Q11_9_politikk_andre_land_Politikk i andre land 19.09091 69.53642 38.354254 2.655410e-16 8.188028
## Q11_6_ledere_kommentarer=Q11_6_ledere_kommentarer_Ledere og kommentarer 19.83640 64.23841 34.100418 1.404881e-15 7.985030
## Q43_34_Stortingspolitiker=Q43_34_Stortingspolitiker_Stortingspolitiker 27.52294 39.73510 15.202232 4.186289e-15 7.849221
## lokalsjukehus=lokalsjukehus_Plassering av sykehus/helsetjenester i distriktene i Norge 17.03057 77.48344 47.907950 5.199474e-15 7.821990
## Q62i_starte_debatt=Q62i_starte_debatt_0 15.75000 83.44371 55.788006 3.911738e-14 7.563896
## listhaugsverige=listhaugsverige_Sylvi Listhaugs besøk i Sverige 15.93830 82.11921 54.253835 4.308769e-14 7.551318
## Q62d_vise_identitet=Q62d_vise_identitet_0 16.32373 78.80795 50.836820 9.220445e-14 7.451615
## ISEIrtot3=ISEIhigh 18.59583 64.90066 36.750349 1.314046e-13 7.404743
## krfvregj=krfvregj_KrFs og Venstres rolle i et regjeringssamarbeid etter valge 15.75604 82.11921 54.881450 1.407984e-13 7.395574
## Q62j_rolle_i_samfunn=Q62j_rolle_i_samfunn_0 15.71610 82.11921 55.020921 1.825736e-13 7.360974
## Q65e_naturlig_delta=Q65e_naturlig_delta_Passer delvis 20.59553 54.96689 28.103208 2.057928e-13 7.344978
## Q47b_partilederdebatt=Q47b_partilederdebatt_Fulgte partilederdebatt på TV/radio 16.94656 73.50993 45.676430 2.825083e-13 7.302481
## oljenord=oljenord_Leteboring etter olje utenfor Lofoten, Vesterålen og Senja 15.41307 82.78146 56.555091 7.138238e-13 7.176761
## Q63c_folger_brukere_organisasjon=Q63c_folger_brukere_organisasjon_Passer helt 25.92593 37.08609 15.062762 1.057697e-12 7.122782
## Q57h_underskriftskamapnje=Q57h_underskriftskamapnje_Signert på underskriftskampanje (enten på papir eller nett) 17.55594 67.54967 40.516039 1.554068e-12 7.069577
## SAS=SAS_Forhandlingene mellom arbeidsgiver og piloter i SAS om lønn 20.69892 50.99338 25.941423 3.006543e-12 6.977418
## SSB=SSB_SSB 14.01015 91.39073 68.688982 3.134007e-12 6.971580
## Q71b_velforening=Q71b_velforening_En lokal velforening (eks. grendelag, historielag, sanitets 24.27984 39.07285 16.945607 4.694333e-12 6.914525
## Q71c_interesseorganisasjon=Q71c_interesseorganisasjon_Interesseorganisasjon (eks. Mållaget, kvinnesak, innvandrin 31.06061 27.15232 9.205021 5.870611e-12 6.882755# 5-klynge løysing
res.hcpc<-HCPC(res ,nb.clust=5,consol=TRUE,min=3,max=12,graph=FALSE) #-1 om automatisk, 0 om cut
fviz_cluster(res.hcpc, data = x, axes=c(2,1), ellipse.type = "convex", repel=FALSE, labelsize=3)+
theme_tufte() + labs(title = "Clusters (after MFA)") +
theme(axis.text=element_text(size=12), axis.title=element_text(size=12,face="bold"))
fviz_cluster(res.hcpc, data = x, axes=c(3,4), ellipse.type = "convex", repel=FALSE, labelsize=3)+
theme_tufte() + labs(title = "Clusters (after MFA)") +
theme(axis.text=element_text(size=12), axis.title=element_text(size=12,face="bold"))
p1<-fviz_cluster(res.hcpc, data = x, axes=c(2,1), ellipse.type = "confidence", repel=FALSE, labelsize=0, pointsize = 0, geom="text")+ggtitle("Confidence 1-2")
p2<-fviz_cluster(res.hcpc, data = x, axes=c(3,4), ellipse.type = "confidence", repel=FALSE, labelsize=0, pointsize = 0, geom="text")+ggtitle("Confidence 3-4")
p3<-fviz_cluster(res.hcpc, data = x, axes=c(2,1), ellipse.type = "euclid", repel=FALSE, labelsize=0, pointsize = 0, geom="text")+ggtitle("Euclid 1-2")
p4<-fviz_cluster(res.hcpc, data = x, axes=c(3,4), ellipse.type = "euclid", repel=FALSE, labelsize=0, pointsize = 0, geom="text")+ggtitle("Euclid 3-4")
grid.arrange(p1,p2,p3,p4, nrow=2)
head(res.hcpc$desc.var$category$`1`, n=50) # viser dei mest signifikante kategoriane som beskriv klyngene## Cla/Mod Mod/Cla Global p.value v.test
## Q11_10_nasjonal_politikk=Q11_10_nasjonal_politikk_0 48.71017 84.92063 45.95537 2.659667e-74 18.236277
## Q47d_avislesing=Q47d_avislesing_0 54.70942 72.22222 34.79777 3.737070e-69 17.576377
## krfvregj=krfvregj_0 47.60433 81.48148 45.11855 5.136697e-64 16.892183
## statsbudsj=statsbudsj_0 43.74177 87.83069 52.92887 3.770478e-62 16.636832
## SSB=SSB_0 55.23385 65.60847 31.31102 4.501196e-60 16.347915
## syriaflykt=syriaflykt_0 54.05983 66.93122 32.63598 3.182369e-59 16.228283
## Q11_9_politikk_andre_land=Q11_9_politikk_andre_land_0 39.25339 91.79894 61.64575 5.821445e-52 15.167310
## velferdsprofitt=velferdsprofitt_0 47.37733 74.07407 41.21339 6.571443e-52 15.159352
## russlandval=russlandval_0 55.38847 58.46561 27.82427 1.257831e-50 14.964224
## Q47h_diskusjon_venne_familie=Q47h_diskusjon_venne_familie_0 46.79054 73.28042 41.28312 3.228475e-49 14.746749
## catalonia=catalonia_0 58.03571 51.58730 23.43096 6.242870e-47 14.387020
## brexit=brexit_0 50.41841 63.75661 33.33333 1.494202e-46 14.326521
## Q11_1_utenriksnyheter=Q11_1_utenriksnyheter_0 56.26741 53.43915 25.03487 4.496255e-46 14.249791
## kommunesammen=kommunesammen_0 53.68957 55.82011 27.40586 4.152737e-44 13.930186
## Q11_11_lokalpolitikk=Q11_11_lokalpolitikk_0 42.63233 78.83598 48.74477 4.572899e-44 13.923300
## listhaugsverige=listhaugsverige_0 43.75000 75.92593 45.74616 7.378722e-44 13.889070
## Q47b_partilederdebatt=Q47b_partilederdebatt_0 40.56483 83.59788 54.32357 1.838351e-43 13.823528
## nordkorea=nordkorea_0 66.51376 38.35979 15.20223 1.265400e-42 13.683998
## oljenord=oljenord_0 44.30177 73.01587 43.44491 5.158951e-42 13.581458
## Q11_6_ledere_kommentarer=Q11_6_ledere_kommentarer_0 36.82540 92.06349 65.89958 7.171697e-42 13.557311
## metoo=metoo_0 51.43541 56.87831 29.14923 5.826367e-41 13.402750
## Urix=notUrix 37.62946 86.50794 60.59972 1.192253e-36 12.645000
## Q47c_valgsending=Q47c_valgsending_0 43.06452 70.63492 43.23570 3.634663e-36 12.557088
## Q11_7_leserinnlegg_debatt_kronik=Q11_7_leserinnlegg_debatt_kronik_0 39.52880 79.89418 53.27755 1.965350e-35 12.422810
## Q11_2_innenriksnyheter=Q11_2_innenriksnyheter_0 61.76471 33.33333 14.22594 3.724145e-31 11.608658
## jensen=jensen_0 47.15262 54.76190 30.61367 6.780694e-31 11.557301
## voldvidg=voldvidg_0 41.13712 65.07937 41.70153 1.039683e-26 10.698027
## formueskatt=formueskatt_0 36.12079 82.27513 60.04184 1.402712e-26 10.670235
## Q47j_partiprogram=Q47j_partiprogram_0 34.66387 87.30159 66.38773 3.036670e-26 10.598232
## Q11_13_neringslivstoff=Q11_13_neringslivstoff_0 35.07625 85.18519 64.01674 1.182293e-25 10.470331
## SAS=SAS_0 32.86252 92.32804 74.05858 1.362184e-24 10.236395
## nikabforbod=nikabforbod_0 36.41975 78.04233 56.48536 5.360552e-24 10.102949
## Dagsreveyen=notDagsreveyen 46.88347 45.76720 25.73222 1.191891e-23 10.024310
## Dagsnytt_18=notDagsnytt_18 35.19362 81.74603 61.22734 4.854851e-23 9.884607
## lokalsjukehus=lokalsjukehus_0 36.81392 72.75132 52.09205 2.110303e-21 9.499436
## Q47q_oppfordre_stemmerett=Q47q_oppfordre_stemmerett_0 33.00199 87.83069 70.15342 2.222785e-20 9.251059
## Q47i_valgomat=Q47i_valgomat_0 39.25550 61.37566 41.21339 2.917678e-20 9.221942
## rumentigg=rumentigg_0 36.44860 72.22222 52.23152 4.042636e-20 9.186916
## Brennpunkt=notBrennpunkt 37.72455 66.66667 46.58298 5.814374e-20 9.147728
## Q47g_diskusjon_jobb=Q47g_diskusjon_jobb_0 33.61433 84.39153 66.17852 8.707701e-20 9.103985
## storeprivok=storeprivok_0 32.90130 87.30159 69.94421 1.527460e-19 9.042774
## nobellitt=nobellitt_0 31.20070 94.17989 79.56764 2.599741e-19 8.984474
## sykkelvm=sykkelvm_0 35.33084 74.86772 55.85774 9.764766e-19 8.837770
## plastkvalen=plastkvalen_0 38.32237 61.64021 42.39888 1.630370e-18 8.780302
## rutd3.1=rutd3.1_folkvidg 33.80900 81.48148 63.52859 2.273027e-18 8.742850
## rutd3=rutd3_folkvidg 33.80900 81.48148 63.52859 2.273027e-18 8.742850
## ISEIrtot3=ISEIlow 42.34450 46.82540 29.14923 9.234022e-18 8.583112
## Q47k_sosmedier_politikere_parti=Q47k_sosmedier_politikere_parti_0 30.71613 94.17989 80.82287 4.951818e-17 8.387834
## ISEI3grp=ISEIlaag 40.00000 52.38095 34.51883 5.932616e-17 8.366557
## r5Q6o_nyheterTV=nyhtvNEI 37.70492 60.84656 42.53835 6.816255e-17 8.350174head(res.hcpc$desc.var$category$`2`, n=50)## Cla/Mod Mod/Cla Global p.value v.test
## stdalder=60+ 51.93966 80.06645 32.357043 1.627461e-84 19.479853
## Q32_stilling=Alderspensjonist 64.74576 63.45515 20.571827 1.336458e-81 19.133188
## r32stilling=alderspensj 64.74576 63.45515 20.571827 1.336458e-81 19.133188
## Q6o_nyheterTV=Q6o_nyheterTV_5 dager eller mer 34.10194 93.35548 57.461646 8.615102e-54 15.441443
## r5Q6o_nyheterTV=nyhTV 34.10194 93.35548 57.461646 8.615102e-54 15.441443
## mcaoffpriv=annet 38.87097 80.06645 43.235704 7.469100e-49 14.690021
## Q6a_papiravis=Q6a_papiravis_5 dager eller mer 45.54455 61.12957 28.172943 1.465295e-42 13.673332
## r5Q6a_papiravis=papiravis 45.54455 61.12957 28.172943 1.465295e-42 13.673332
## Q17b_Strommetjenester=Q17b_Strommetjenester_0 33.41772 87.70764 55.090656 1.218174e-41 13.518387
## Q4c_papiravis_abo=Q4c_papiravis_abo_Abonnement på papiravis 36.62207 72.75748 41.701534 1.110519e-34 12.283525
## yrke2=uklass 33.51878 80.06645 50.139470 4.269981e-33 11.984776
## Q71n_pensjonistforening=Q71n_pensjonistforening_Pensjonistforening 72.64151 25.58140 7.391911 6.058626e-33 11.955747
## alderkjonn=60+ K 54.20561 38.53821 14.923291 3.296173e-32 11.814214
## Q6d_TVdirekte=Q6d_TVdirekte_5 dager eller mer 32.31788 81.06312 52.649930 2.126632e-30 11.458708
## r5Q6d_TVdirekte=tvdirekte 32.31788 81.06312 52.649930 2.126632e-30 11.458708
## alderkjonn=60+ M 50.00000 41.52824 17.433752 2.295475e-30 11.452088
## Q11_11_lokalpolitikk=Q11_11_lokalpolitikk_Lokalpolitikk 32.38095 79.06977 51.255230 8.407574e-29 11.135706
## Q47g_diskusjon_jobb=Q47g_diskusjon_jobb_0 28.66175 90.36545 66.178522 4.611979e-27 10.773102
## Distriksnyheter=Distriksnyheter 28.77155 88.70432 64.714086 1.080836e-25 10.478820
## Q16b_NRK1=Q16b_NRK1_NRK1 25.14768 99.00332 82.635983 4.798388e-24 10.113805
## Q18a_NRK_P1=Q18a_NRK_P1_Radio - NRK P1 33.33333 68.10631 42.887029 3.319748e-23 9.922606
## Modern_Family=notModern_Family 25.89286 96.34551 78.103208 1.237541e-22 9.790442
## Q6i_dataspill=Q6i_dataspill_Aldri 31.79792 71.09635 46.931660 1.812806e-21 9.515248
## Game_of_Thrones=notGame_of_Thrones 26.56546 93.02326 73.500697 2.384181e-21 9.486720
## rutd3.1=rutd3.1_folkvidg 28.32053 85.71429 63.528591 2.398665e-21 9.486088
## rutd3=rutd3_folkvidg 28.32053 85.71429 63.528591 2.398665e-21 9.486088
## Q31_fag=Q31_fag_Manglar 50.00000 28.57143 11.994421 9.515416e-20 9.094350
## Deringenskulle=Deringenskulle 29.69152 76.74419 54.253835 1.932543e-19 9.017032
## Q58c_Snapchat=Q58c_Snapchat_0 32.39203 64.78405 41.980474 3.089709e-19 8.965466
## Q16a_LokalTV=Q16a_LokalTV_Lokal-tv 44.20601 34.21927 16.248257 9.156048e-19 8.844961
## Big_Bang_Theory=notBig_Bang_Theory 27.29211 85.04983 65.411437 2.432096e-17 8.471041
## ccapvol=Low 36.09023 47.84053 27.824268 4.559957e-17 8.397523
## r5Q6h_sos_medier=sosmedierNEI 36.50794 45.84718 26.359833 1.142254e-16 8.288978
## Skam=notSkam 25.90133 90.69767 73.500697 2.399241e-16 8.200232
## r5Q6e_TVopptak=tvopptaknei 25.52995 92.02658 75.662483 6.113893e-16 8.087027
## Q17a_Youtube.1=Q17a_Youtube.1_0 29.63483 70.09967 49.651325 8.070229e-16 8.053131
## Q17a_Youtube=Q17a_Youtube_0 29.63483 70.09967 49.651325 8.070229e-16 8.053131
## utdtype=utdtypeoppgjeve 36.36364 43.85382 25.313808 1.482218e-15 7.978417
## Q11_7_leserinnlegg_debatt_kronik=Q11_7_leserinnlegg_debatt_kronik_Leserinnlegg / debatt / kronikker 29.85075 66.44518 46.722455 1.057639e-14 7.732128
## Q6p_nyheter_radio=Q6p_nyheter_radio_5 dager eller mer 30.23622 63.78738 44.281729 2.107807e-14 7.643875
## r5Q6p_nyheter_radio=nyhradio 30.23622 63.78738 44.281729 2.107807e-14 7.643875
## SSB=SSB_SSB 26.09137 85.38206 68.688982 1.575223e-13 7.380647
## Lindmo=Lindmo 30.34826 60.79734 42.050209 1.841556e-13 7.359822
## voldvidg=voldvidg_Problemer med økt vold på videregående skoler 27.51196 76.41196 58.298466 2.076782e-13 7.343758
## Q6g_radio_opptak=Q6g_radio_opptak_Aldri 30.75571 58.13953 39.679219 3.317902e-13 7.280823
## Skavlan=Skavlan 31.79074 52.49169 34.658298 7.767665e-13 7.165194
## csoc2=Low sym 40.86538 28.23920 14.504881 1.159368e-12 7.110126
## Q71b_velforening=Q71b_velforening_En lokal velforening (eks. grendelag, historielag, sanitets 38.68313 31.22924 16.945607 2.549823e-12 7.000538
## Q11_4_lokalnyheter_by_kom=Q11_4_lokalnyheter_by_kom_Lokale nyheter fra byen/kommunen jeg bor i 24.66488 91.69435 78.033473 3.774816e-12 6.945366
## Q6f_radio_direkte=Q6f_radio_direkte_5 dager eller mer 28.95522 64.45183 46.722455 3.901452e-12 6.940706head(res.hcpc$desc.var$category$`3`, n=50)## Cla/Mod Mod/Cla Global p.value v.test
## mcaoffpriv=privat 41.68378 58.67052 33.960948 1.141762e-27 10.900857
## utdtype=hardsubj 39.60573 63.87283 38.912134 2.820650e-27 10.818265
## r32stilling=iarbeid 33.97823 81.21387 57.670851 6.172917e-26 10.531670
## Q11_13_neringslivstoff=Q11_13_neringslivstoff_Næringslivstoff 39.34109 58.67052 35.983264 3.340267e-23 9.921991
## csoc2=High econ 58.82353 26.01156 10.669456 1.540862e-22 9.768253
## ccapcomp=Econ 41.16279 51.15607 29.986053 9.857395e-22 9.578385
## alderkjonn=45-59 M 48.05195 32.08092 16.108787 2.479935e-18 8.733005
## r40inn4=r40inn4_800+ 59.82906 20.23121 8.158996 6.590540e-18 8.621808
## kjonnx=Mann 33.10992 71.38728 52.022315 5.373613e-17 8.378216
## r40inn4=r40inn4_500-799 40.15544 44.79769 26.917713 8.494075e-17 8.324143
## brexit=brexit_Brexit og EUs fremtid 30.33473 83.81503 66.666667 5.425628e-16 8.101566
## Q11_17_sosialomsorg=Q11_17_sosialomsorg_0 29.64824 85.26012 69.386332 1.371851e-14 7.698953
## ccapvol=High 36.93305 49.42197 32.287308 1.969883e-14 7.652579
## mcahusinnt=1.200.000 – 1.399.000 kroner 52.55474 20.80925 9.553696 3.677726e-14 7.571911
## stdalder=45-59 38.38384 43.93064 27.615063 4.043561e-14 7.559585
## Q32_stilling=Funksjonær, ledende stilling ellers 52.30769 19.65318 9.065551 3.108398e-13 7.289616
## Q31_fag=Q31_fag_Økonomi og administrasjon 43.03279 30.34682 17.015342 6.111434e-13 7.197973
## Q57a_interesseorganisasjon=Q57a_interesseorganisasjon_0 26.83121 97.39884 87.587169 7.171894e-13 7.176117
## Q6b_nettavis=Q6b_nettavis_5 dager eller mer 29.10000 84.10405 69.735007 3.567823e-12 6.953322
## r5Q6b_nettavis=nettavis 29.10000 84.10405 69.735007 3.567823e-12 6.953322
## Q47g_diskusjon_jobb=Q47g_diskusjon_jobb_Diskuterte stortingsvalget på jobb 35.05155 49.13295 33.821478 1.168496e-11 6.784054
## nordkorea=nordkorea_Situasjonen i Nord-Korea 26.97368 94.79769 84.797768 9.232499e-11 6.479012
## catalonia=catalonia_Folkeavstemmingen om løsrivelse for Catalonia i Spania 27.95993 88.72832 76.569038 1.023566e-10 6.463429
## r49polpar=r49polpar_Høyre 39.49275 31.50289 19.246862 1.952964e-10 6.364995
## rutd3.1=rutd3.1_hog1_4 37.84615 35.54913 22.663877 2.240776e-10 6.343861
## rutd3=rutd3_hog1_4 37.84615 35.54913 22.663877 2.240776e-10 6.343861
## Q43_16_Leder_i_neringslivet=Q43_16_Leder_i_neringslivet_Leder i næringslivet 32.29508 56.93642 42.538354 6.367536e-10 6.181053
## SSB=SSB_SSB 28.62944 81.50289 68.688982 1.144802e-09 6.087790
## Q11_27_bil_motor=Q11_27_bil_motor_Bil / motor 35.56701 39.88439 27.057183 1.945306e-09 6.002309
## Q31_fag=Q31_fag_Ingeniørfag eller andre teknologiske fag 42.85714 22.54335 12.691771 2.273264e-09 5.976970
## Q14g_DagensNeringsliv=Q14g_DagensNeringsliv_Dagens Næringsliv 40.75829 24.85549 14.714086 5.911290e-09 5.819248
## Q11_2_innenriksnyheter=Q11_2_innenriksnyheter_Innenriksnyheter 26.58537 94.50867 85.774059 8.090901e-09 5.766554
## statsbudsj=statsbudsj_Debatten om det nye statsbudsjettet 30.96296 60.40462 47.071130 1.198971e-08 5.699872
## russlandval=russlandval_Etterforskning av mulig russisk innblanding i det amerikans 27.92271 83.52601 72.175732 2.202762e-08 5.595272
## Q57d_demonstrasjon=Q57d_demonstrasjon_0 26.02634 97.10983 90.027894 2.401812e-08 5.580244
## Q47d_avislesing=Q47d_avislesing_Leste om valget i aviser (på papir eller nett) 28.55615 77.16763 65.202232 4.226775e-08 5.481105
## sykkelvm=sykkelvm_Folkefesten i Bergen under sykkel-VM 31.12164 56.93642 44.142259 4.291341e-08 5.478423
## Q11_24_samliv_helse_relasjoner=Q11_24_samliv_helse_relasjoner_0 28.94438 73.69942 61.436541 4.550064e-08 5.468053
## Q11_16_sport=Q11_16_sport_Sport 31.27036 55.49133 42.817294 5.389946e-08 5.437942
## Q71c_interesseorganisasjon=Q71c_interesseorganisasjon_0 25.88326 97.39884 90.794979 6.556761e-08 5.402912
## Q11_1_utenriksnyheter=Q11_1_utenriksnyheter_Utenriksnyheter 27.44186 85.26012 74.965132 1.421573e-07 5.262438
## Q6c_nyhetsnettsteder=Q6c_nyhetsnettsteder_5 dager eller mer 31.03448 54.62428 42.468619 1.798031e-07 5.219091
## r5Q6c_nyhetsnettsteder=nyhnettsted 31.03448 54.62428 42.468619 1.798031e-07 5.219091
## Q71n_pensjonistforening=Q71n_pensjonistforening_0 25.60241 98.26590 92.608089 2.245008e-07 5.177814
## Q71g_helse=Q71g_helse_0 25.33235 99.13295 94.421199 4.990030e-07 5.026696
## Q71d_miljovern=Q71d_miljovern_0 25.33235 99.13295 94.421199 4.990030e-07 5.026696
## Q11_18_fattigdom_utviklingsland=Q11_18_fattigdom_utviklingsland_0 27.14026 86.12717 76.569038 5.733371e-07 4.999989
## Q57h_underskriftskamapnje=Q57h_underskriftskamapnje_0 28.72216 70.80925 59.483961 6.203084e-07 4.984785
## Q57i_donert_penger=Q57i_donert_penger_0 26.00473 95.37572 88.493724 6.964819e-07 4.962342
## csoc2=Intermed econ 40.00000 19.07514 11.506276 1.469879e-06 4.815288head(res.hcpc$desc.var$category$`4`, n=50)## Cla/Mod Mod/Cla Global p.value v.test
## utdtype=softsubj 47.54098 61.921708 25.523013 5.667264e-49 14.708716
## ccapcomp=Cult 42.95302 68.327402 31.171548 1.907971e-47 14.468791
## csoc2=High cult 57.30994 34.875445 11.924686 3.074131e-32 11.820074
## r5Q6o_nyheterTV=nyhtvNEI 33.60656 72.953737 42.538354 1.191355e-30 11.508792
## Q57j_deltatt_markering=Q57j_deltatt_markering_Deltatt i en markering av typen Earth Hour, FN-dagen eller 41.52542 52.313167 24.686192 1.125324e-29 11.313483
## Q47h_diskusjon_venne_familie=Q47h_diskusjon_venne_familie_Diskuterte stortingsvalget med venner eller familie 28.85986 86.476868 58.716876 8.379146e-29 11.136008
## Q11_20_kulturanmeldelser=Q11_20_kulturanmeldelser_Anmeldelser av kultur (f.eks film, kunst, musikk) 32.90323 72.597865 43.235704 1.252435e-28 11.100143
## Q57h_underskriftskamapnje=Q57h_underskriftskamapnje_Signert på underskriftskampanje (enten på papir eller nett) 32.70224 67.615658 40.516039 1.340667e-24 10.237935
## rutd3.1=rutd3.1_hog5 48.48485 34.163701 13.807531 1.110635e-23 10.031283
## rutd3=rutd3_hog5 48.48485 34.163701 13.807531 1.110635e-23 10.031283
## r5Q6d_TVdirekte=tvdirNEI 30.48601 73.665480 47.350070 2.364688e-23 9.956401
## Q11_19_natur_miljovern=Q11_19_natur_miljovern_Natur- og miljøvernstoff 32.49551 64.412811 38.842399 3.659602e-22 9.680211
## metoo=metoo_Detbatten om seksuell trakassering av kvinner (#Metoo) 25.49213 92.170819 70.850767 8.185307e-22 9.597568
## Q14b_Aftenposten=Q14b_Aftenposten_Aftenposten 33.53175 60.142349 35.146444 1.108101e-21 9.566291
## Q11_18_fattigdom_utviklingsland=Q11_18_fattigdom_utviklingsland_Fattigdom i utviklingsland 38.39286 45.907473 23.430962 6.376494e-21 9.383588
## alderkjonn=<30 K 52.63158 24.911032 9.274756 2.187301e-19 9.003452
## Skam=Skam 35.78947 48.398577 26.499303 7.386350e-19 8.868913
## Q11_27_bil_motor=Q11_27_bil_motor_0 24.76099 92.170819 72.942817 9.273700e-19 8.843535
## Q69a_oppvekst_kultur=Q69a_oppvekst_kultur_Helt enig 37.20238 44.483986 23.430962 1.278471e-18 8.807606
## mcakultheim=mcakultheim_Helt enig 37.20238 44.483986 23.430962 1.278471e-18 8.807606
## Q47e_nettsider_parti=Q47e_nettsider_parti_Oppsøkte nettsidene til et eller flere av partiene 37.01493 44.128114 23.361227 3.357841e-18 8.698674
## r49polpar=r49polpar_Sosialistisk Venstreparti 55.55556 21.352313 7.531381 4.364190e-18 8.668873
## stdalder=Under 30 41.05691 35.943060 17.154812 4.847327e-18 8.656908
## Q57g_personlig_protest=Q57g_personlig_protest_Protestert personlig (f.eks. ved å boikotte et produkt, gåt 42.03540 33.807829 15.760112 1.101064e-17 8.562855
## kjonnx=Kvinne 28.77907 70.462633 47.977685 2.333366e-17 8.475866
## ccapvol=High 32.61339 53.736655 32.287308 7.956380e-17 8.331887
## Q47i_valgomat=Q47i_valgomat_Svarte på valgomat eller partitest 26.57177 79.715302 58.786611 2.156633e-16 8.213037
## Q17b_Strommetjenester=Q17b_Strommetjenester_Strømmetjenester som Netflix, Nordisk HBO, Viaplay 29.03727 66.548043 44.909344 4.321535e-16 8.129194
## Q71f_solidaritet=Q71f_solidaritet_En internasjonal solidaritetsorganisasjon, fred- eller bist 60.81081 16.014235 5.160391 1.175284e-15 8.007013
## Q31_fag=Q31_fag_Humaniora 64.06250 14.590747 4.463040 1.809977e-15 7.953717
## Q47g_diskusjon_jobb=Q47g_diskusjon_jobb_Diskuterte stortingsvalget på jobb 31.34021 54.092527 33.821478 5.470519e-15 7.815592
## Q47d_avislesing=Q47d_avislesing_Leste om valget i aviser (på papir eller nett) 25.24064 83.985765 65.202232 1.137283e-14 7.722882
## Q71d_miljovern=Q71d_miljovern_Miljøvernorganisasjon (eks. WWF Norge eller Naturvernforbun 57.50000 16.370107 5.578801 1.154654e-14 7.720950
## csoc2=Intermed cult 41.11675 28.825623 13.737796 3.878245e-14 7.565013
## Q47j_partiprogram=Q47j_partiprogram_Leste i partiprogrammene til et eller flere av partiene 30.91286 53.024911 33.612273 6.570169e-14 7.496186
## yrke2=Lærarar/lektorar grunn/vidg. 66.66667 12.099644 3.556485 1.045035e-13 7.435082
## Q16g_TV2=Q16g_TV2_0 32.80423 44.128114 26.359833 4.358078e-13 7.243948
## Modern_Family=Modern_Family 34.39490 38.434164 21.896792 1.177476e-12 7.107987
## Q11_8_portrettintervjuer=Q11_8_portrettintervjuer_Portrettintervjuer 31.17783 48.042705 30.195258 1.830434e-12 7.046827
## Hjorth=Hjorth_Helga Hjorts roman “Fri vilje” og debatten om virkelighetsl 38.75598 28.825623 14.574616 2.192137e-12 7.021682
## Q16p_Max=Q16p_Max_0 23.92996 87.544484 71.687587 3.074770e-12 6.974264
## Q31_fag=Q31_fag_Samfunnsvitenskap 56.52174 13.879004 4.811715 3.530361e-12 6.954811
## syriaflykt=syriaflykt_Håndteringen av flyktningestrømmen fra Syria 24.43064 83.985765 67.364017 4.119306e-12 6.933027
## Q32_stilling=Elev/Student/Lærling 45.76271 19.217082 8.228731 1.379853e-11 6.760007
## r32stilling=elevstudlaer 45.76271 19.217082 8.228731 1.379853e-11 6.760007
## Q16i_TV_2_Nyhetskanalen=Q16i_TV_2_Nyhetskanalen_0 24.36975 82.562278 66.387727 2.681259e-11 6.663092
## Q71n_pensjonistforening=Q71n_pensjonistforening_0 21.15964 100.000000 92.608089 3.348427e-11 6.630372
## russlandval=russlandval_Etterforskning av mulig russisk innblanding i det amerikans 23.67150 87.188612 72.175732 3.595833e-11 6.619842
## Q11_17_sosialomsorg=Q11_17_sosialomsorg_Sosialomsorg 30.29613 47.330961 30.613668 4.431169e-11 6.588893
## r49polpar=r49polpar_Miljøpartiet De Grønne 65.11628 9.964413 2.998605 4.691350e-11 6.580416head(res.hcpc$desc.var$category$`5`, n=50)## Cla/Mod Mod/Cla Global p.value v.test
## Q47n_sosmedier_dele_kommentere=Q47n_sosmedier_dele_kommentere_Delte eller kommenterte nyheter knyttet til valget eller no 45.59585 68.75000 13.458856 1.647122e-54 15.547782
## Q47t_deltok_valgkamp=Q47t_deltok_valgkamp_Deltok i valgkampen til et parti (valgbod/informasjon) 82.14286 35.93750 3.905160 2.101578e-42 13.647071
## Q57b_politisk_partiarbeid=Q57b_politisk_partiarbeid_Deltatt i politisk partiarbeid 58.25243 46.87500 7.182706 5.089194e-42 13.582455
## Q47s_politisk_mote=Q47s_politisk_mote_Deltok på politisk møte 72.72727 37.50000 4.602510 8.916553e-40 13.198782
## Q57e_kontaktet_politiker=Q57e_kontaktet_politiker_Tatt kontakt med en politiker i forbindelse med en sak 40.34091 55.46875 12.273361 9.846412e-37 12.660028
## Q47r_pavirke_andre=Q47r_pavirke_andre_Prøvde å påvirke andre til å stemme et bestemt parti 34.97758 60.93750 15.550907 6.623686e-36 12.509504
## Q47k_sosmedier_politikere_parti=Q47k_sosmedier_politikere_parti_Fulgte parti eller politikere på sosiale medier 30.54545 65.62500 19.177127 2.605407e-34 12.214361
## Q47o_sosmedier_statusoppdatering=Q47o_sosmedier_statusoppdatering_Skrev statusoppdatering(er) knyttet til valget i sosiale me 51.42857 42.18750 7.322176 2.163533e-33 12.040986
## Q57f_kontaktet_media=Q57f_kontaktet_media_Tatt kontakt med avis/TV/radio i en sak som har engasjert d 40.41096 46.09375 10.181311 2.025894e-29 11.261795
## Q62g_formidle_engasjement=Q62g_formidle_engasjement_Ønske om å få formidlet informasjon om saker jeg er engasje 25.60976 65.62500 22.873082 1.147602e-27 10.900393
## Q62b_dele_synspunkt=Q62b_dele_synspunkt_Ønske om å dele mine synspunkter med andre 26.11940 54.68750 18.688982 4.688400e-22 9.654851
## Q47f_nyhetskilder_andre=Q47f_nyhetskilder_andre_Oppsøkte andre nyhetskilder på nettet utenom de etablerte n 38.33333 35.93750 8.368201 4.662923e-21 9.416519
## Q57d_demonstrasjon=Q57d_demonstrasjon_Deltatt i en offentlig demonstrasjon 34.96503 39.06250 9.972106 6.227667e-21 9.386077
## Q47q_oppfordre_stemmerett=Q47q_oppfordre_stemmerett_Oppfordret andre til å bruke stemmeretten (i sosiale medier 20.32710 67.96875 29.846583 9.610175e-21 9.340256
## Q11_10_nasjonal_politikk=Q11_10_nasjonal_politikk_Nasjonal politikk 14.83871 89.84375 54.044630 8.292242e-20 9.109291
## Q65d_folger_sider_grupper=Q65d_folger_sider_grupper_Passer helt 30.99415 41.40625 11.924686 1.717366e-19 9.029959
## statsbudsj=statsbudsj_Debatten om det nye statsbudsjettet 15.85185 83.59375 47.071130 4.573583e-19 8.922141
## Q62a_nyttig_for_andre=Q62a_nyttig_for_andre_Ønske om å dele informasjon som er nyttig for andre 20.84433 61.71875 26.429568 1.164457e-18 8.818074
## Q57a_interesseorganisasjon=Q57a_interesseorganisasjon_Deltatt aktivt i en interesseorganisasjon eller kampanjegru 29.77528 41.40625 12.412831 1.422872e-18 8.795599
## Q62c_korrigere_debatt=Q62c_korrigere_debatt_Ønske om å delta i debatt der jeg mener andre tar feil 27.66990 44.53125 14.365411 1.948665e-18 8.760222
## formueskatt=formueskatt_Debatten om formueskatt 16.92845 75.78125 39.958159 7.733345e-18 8.603482
## Q57i_donert_penger=Q57i_donert_penger_Donert penger til en politisk organisasjon eller nettside 29.09091 37.50000 11.506276 3.841018e-16 8.143472
## Q47e_nettsider_parti=Q47e_nettsider_parti_Oppsøkte nettsidene til et eller flere av partiene 20.89552 54.68750 23.361227 8.142475e-16 8.052041
## Q11_9_politikk_andre_land=Q11_9_politikk_andre_land_Politikk i andre land 16.72727 71.87500 38.354254 9.309438e-16 8.035636
## Q43_23_Politiker_byrad_kommunest=Q43_23_Politiker_byrad_kommunest_Politiker i byråd eller kommunestyre 16.98113 70.31250 36.959554 1.183370e-15 8.006169
## Q11_11_lokalpolitikk=Q11_11_lokalpolitikk_Lokalpolitikk 14.55782 83.59375 51.255230 1.637479e-15 7.966109
## storeprivok=storeprivok_Jonas Gahr Støres privatøkonomi 18.56148 62.50000 30.055788 1.783875e-15 7.955515
## Q47j_partiprogram=Q47j_partiprogram_Leste i partiprogrammene til et eller flere av partiene 17.63485 66.40625 33.612273 2.210711e-15 7.928914
## velferdsprofitt=velferdsprofitt_Debatten om velferdsprofitører og private tjenestetilbydere 13.52313 89.06250 58.786611 4.715880e-15 7.834266
## Q62h_fremsta_informert=Q62h_fremsta_informert_0 14.24767 83.59375 52.370990 1.223285e-14 7.713588
## Q65e_naturlig_delta=Q65e_naturlig_delta_Passer helt 39.74359 24.21875 5.439331 1.691245e-14 7.672160
## Q47h_diskusjon_venne_familie=Q47h_diskusjon_venne_familie_Diskuterte stortingsvalget med venner eller familie 13.42043 88.28125 58.716876 2.580446e-14 7.617796
## lokalsjukehus=lokalsjukehus_Plassering av sykehus/helsetjenester i distriktene i Norge 14.70160 78.90625 47.907950 6.412493e-14 7.499371
## krfvregj=krfvregj_KrFs og Venstres rolle i et regjeringssamarbeid etter valge 13.72300 84.37500 54.881450 1.818346e-13 7.361515
## Q47b_partilederdebatt=Q47b_partilederdebatt_Fulgte partilederdebatt på TV/radio 14.80916 75.78125 45.676430 4.929387e-13 7.227232
## Q43_34_Stortingspolitiker=Q43_34_Stortingspolitiker_Stortingspolitiker 22.93578 39.06250 15.202232 3.532122e-12 6.954740
## SAS=SAS_Forhandlingene mellom arbeidsgiver og piloter i SAS om lønn 18.27957 53.12500 25.941423 6.204016e-12 6.874884
## listhaugsverige=listhaugsverige_Sylvi Listhaugs besøk i Sverige 13.49614 82.03125 54.253835 6.571261e-12 6.866681
## Q11_6_ledere_kommentarer=Q11_6_ledere_kommentarer_Ledere og kommentarer 16.35992 62.50000 34.100418 6.921710e-12 6.859262
## Q65e_naturlig_delta=Q65e_naturlig_delta_Passer delvis 17.61787 55.46875 28.103208 9.626977e-12 6.811972
## Q62i_starte_debatt=Q62i_starte_debatt_0 13.25000 82.81250 55.788006 1.691616e-11 6.730431
## Q62d_vise_identitet=Q62d_vise_identitet_0 13.71742 78.12500 50.836820 3.544043e-11 6.621986
## nikabforbod=nikabforbod_Regjeringens forslag om å forby nikab i skolen 14.58333 71.09375 43.514644 4.717121e-11 6.579601
## brexit=brexit_Brexit og EUs fremtid 12.13389 90.62500 66.666667 5.005253e-11 6.570780
## oljenord=oljenord_Leteboring etter olje utenfor Lofoten, Vesterålen og Senja 13.07028 82.81250 56.555091 5.481672e-11 6.557229
## Q62j_rolle_i_samfunn=Q62j_rolle_i_samfunn_0 13.18124 81.25000 55.020921 8.930626e-11 6.484027
## Q64h_delta_viktig=Q64h_delta_viktig_Passer helt 30.09709 24.21875 7.182706 1.090835e-10 6.453795
## Q63c_folger_brukere_organisasjon=Q63c_folger_brukere_organisasjon_Passer helt 21.75926 36.71875 15.062762 1.802531e-10 6.377286
## Q57h_underskriftskamapnje=Q57h_underskriftskamapnje_Signert på underskriftskampanje (enten på papir eller nett) 14.80207 67.18750 40.516039 2.039350e-10 6.358348
## Q64i_diskusjon_horer_ikke_hjemme=Q64i_diskusjon_horer_ikke_hjemme_Passer ikke 15.11840 64.84375 38.284519 2.179645e-10 6.348118#lagre klyngene
klynger<-NULL
mecin$pcmfakly5<-NULL
klynger<-as.data.frame(res.hcpc$data.clust$clust) # lagre klyngene
klynger$resp_id<-mecin.MFA$resp_id
colnames(klynger)[colnames(klynger)=="res.hcpc$data.clust$clust"] <- "pcmfakly5"
mecin<-merge(mecin, klynger, "resp_id", all=TRUE)
mecin$pcmfakly5<-ordered(mecin$pcmfakly5, levels=c(1,2,3,4,5), labels=c("1låg", "2midtrad", "3midpriv", "4midkult", "5hog"))
# 7-klynge løysing
res.hcpc<-HCPC(res ,nb.clust=7,consol=TRUE,min=3,max=12,graph=FALSE)
klynger<-NULL
klynger<-as.data.frame(res.hcpc$data.clust$clust) # lagre klyngene
klynger$resp_id<-mecin.MFA$resp_id
colnames(klynger)[colnames(klynger)=="res.hcpc$data.clust$clust"] <- "pcmfakly7"
mecin<-merge(mecin, klynger, "resp_id", all=TRUE)
mecin$pcmfakly7<-ordered(mecin$pcmfakly7, levels=c(1,2,3,4,5,6,7), labels=c("1låg", "2pensjtvlok", "3nærokmann", "4ukultkvi", "5pensmannsak", "6kultpol", "7polit"))
freq(res.hcpc$data.clust$clust, plot=FALSE) # antalet i klyngene## res.hcpc$data.clust$clust
## Frequency Percent
## 1 290 20.223
## 2 232 16.179
## 3 283 19.735
## 4 225 15.690
## 5 204 14.226
## 6 118 8.229
## 7 82 5.718
## Total 1434 100.000head(res.hcpc$call$t$inert.gain, n=10)## [1] 1.8419521 0.8642086 0.6293008 0.4091762 0.2924896 0.2608495 0.2408426 0.2350624 0.2300453 0.1930778res.hcpc$call$t$quot # the ratio between two successive within-group inertias (should be as small as possbile)## [1] 0.8830402 0.9035514 0.9305943 0.9466868 0.9497764 0.9511764 0.9499022 0.9483857 0.9543223 0.9581969res.hcpc$desc.axes # viser plassering på faktorane for overordna MFA ##
## Link between the cluster variable and the quantitative variables
## ================================================================
## Eta2 P-value
## Dim.1 0.7440576 0.000000e+00
## Dim.2 0.5426363 2.980881e-238
## Dim.3 0.4801328 1.150354e-198
## Dim.4 0.4138496 1.310569e-161
## Dim.5 0.1202852 7.325540e-37
##
## Description of each cluster by quantitative variables
## =====================================================
## $`1`
## v.test Mean in category Overall mean sd in category Overall sd p.value
## Dim.2 10.525225 0.7301443 9.361120e-16 0.9031409 1.322167 6.610322e-26
## Dim.3 4.960132 0.3227879 -1.080222e-15 1.0859938 1.240318 7.044529e-07
## Dim.4 -6.558746 -0.4047475 -1.300895e-15 0.9114557 1.176176 5.426221e-11
## Dim.1 -23.927222 -2.3242584 4.232241e-16 0.9090374 1.851404 1.595522e-126
##
## $`2`
## v.test Mean in category Overall mean sd in category Overall sd p.value
## Dim.4 14.292346 1.0107904 -1.300895e-15 0.8553107 1.176176 2.442401e-46
## Dim.3 7.543209 0.5625671 -1.080222e-15 0.7859394 1.240318 4.585468e-14
## Dim.5 2.333506 0.1493701 7.217309e-17 0.9024008 1.064559 1.962160e-02
## Dim.1 -9.735778 -1.0838196 4.232241e-16 0.8549175 1.851404 2.121885e-22
## Dim.2 -12.532372 -0.9963337 9.361120e-16 0.7579225 1.322167 4.965492e-36
##
## $`3`
## v.test Mean in category Overall mean sd in category Overall sd p.value
## Dim.5 7.995495 0.4534573 7.217309e-17 0.8650608 1.064559 1.290548e-15
## Dim.1 2.584485 0.2549157 4.232241e-16 0.9357403 1.851404 9.752458e-03
## Dim.2 -4.766980 -0.3357771 9.361120e-16 0.7626232 1.322167 1.870077e-06
## Dim.4 -12.685268 -0.7948651 -1.300895e-15 0.7315943 1.176176 7.136939e-37
## Dim.3 -16.956984 -1.1204773 -1.080222e-15 0.6423368 1.240318 1.708954e-64
##
## $`4`
## v.test Mean in category Overall mean sd in category Overall sd p.value
## Dim.2 16.929390 1.3706498 9.361120e-16 0.7616125 1.322167 2.731972e-64
## Dim.4 7.366098 0.5305285 -1.300895e-15 0.8420663 1.176176 1.756948e-13
## Dim.1 4.430155 0.5022488 4.232241e-16 0.9203285 1.851404 9.416546e-06
## Dim.5 -7.552111 -0.4923079 7.217309e-17 1.0300815 1.064559 4.282586e-14
## Dim.3 -9.014642 -0.6846685 -1.080222e-15 0.8394217 1.240318 1.975148e-19
##
## $`5`
## v.test Mean in category Overall mean sd in category Overall sd p.value
## Dim.1 7.296688 0.8762769 4.232241e-16 0.8268997 1.851404 2.949377e-13
## Dim.3 4.389095 0.3531201 -1.080222e-15 0.7615405 1.240318 1.138232e-05
## Dim.4 -2.500982 -0.1908084 -1.300895e-15 0.8625556 1.176176 1.238494e-02
## Dim.5 -7.747668 -0.5350015 7.217309e-17 0.8581783 1.064559 9.359581e-15
## Dim.2 -17.204311 -1.4754961 9.361120e-16 0.8195305 1.322167 2.464925e-66
##
## $`6`
## v.test Mean in category Overall mean sd in category Overall sd p.value
## Dim.1 16.078398 2.6260793 4.232241e-16 0.8672466 1.851404 3.616117e-58
## Dim.4 10.878257 1.1287444 -1.300895e-15 1.2026590 1.176176 1.463350e-27
## Dim.5 2.883833 0.2708343 7.217309e-17 1.0098086 1.064559 3.928666e-03
## Dim.2 2.364637 0.2758130 9.361120e-16 1.2111039 1.322167 1.804775e-02
##
## $`7`
## v.test Mean in category Overall mean sd in category Overall sd p.value
## Dim.3 17.914435 2.3833869 -1.080222e-15 1.385389 1.240318 9.098791e-72
## Dim.1 15.456215 3.0694650 4.232241e-16 1.490706 1.851404 6.850775e-54
## Dim.2 6.405433 0.9084336 9.361120e-16 1.446258 1.322167 1.499436e-10
## Dim.5 3.129033 0.3573042 7.217309e-17 1.458984 1.064559 1.753826e-03
## Dim.4 -10.228340 -1.2904344 -1.300895e-15 1.203113 1.176176 1.480353e-24fviz_cluster(res.hcpc, data = x, axes=c(2,1), ellipse.type = "convex", repel=FALSE, labelsize=3)+
theme_tufte() + labs(title = "Clusters (after MFA)") +
theme(axis.text=element_text(size=12), axis.title=element_text(size=12,face="bold"))
fviz_cluster(res.hcpc, data = x, axes=c(3,4), ellipse.type = "convex", repel=FALSE, labelsize=3)+
theme_tufte() + labs(title = "Clusters (after MFA)") +
theme(axis.text=element_text(size=12), axis.title=element_text(size=12,face="bold"))
p1<-fviz_cluster(res.hcpc, data = x, axes=c(2,1), ellipse.type = "confidence", repel=FALSE, labelsize=0, pointsize = 0, geom="text")+ggtitle("Confidence 1-2")
p2<-fviz_cluster(res.hcpc, data = x, axes=c(3,4), ellipse.type = "confidence", repel=FALSE, labelsize=0, pointsize = 0, geom="text")+ggtitle("Confidence 3-4")
p3<-fviz_cluster(res.hcpc, data = x, axes=c(2,1), ellipse.type = "euclid", repel=FALSE, labelsize=0, pointsize = 0, geom="text")+ggtitle("Euclid 1-2")
p4<-fviz_cluster(res.hcpc, data = x, axes=c(3,4), ellipse.type = "euclid", repel=FALSE, labelsize=0, pointsize = 0, geom="text")+ggtitle("Euclid 3-4")
grid.arrange(p1,p2,p3,p4, nrow=2)
head(res.hcpc$desc.var$category$`1`, n=40) # viser dei mest signifikante kategoriane som beskriv klyngene## Cla/Mod Mod/Cla Global p.value v.test
## krfvregj=krfvregj_0 38.48532 85.86207 45.11855 4.042934e-58 16.071484
## Q11_10_nasjonal_politikk=Q11_10_nasjonal_politikk_0 38.08801 86.55172 45.95537 5.407151e-58 16.053452
## SSB=SSB_0 45.65702 70.68966 31.31102 3.134869e-55 15.653693
## statsbudsj=statsbudsj_0 34.65086 90.68966 52.92887 2.495736e-53 15.372694
## Q47d_avislesing=Q47d_avislesing_0 42.28457 72.75862 34.79777 3.843117e-50 14.889731
## syriaflykt=syriaflykt_0 43.16239 69.65517 32.63598 2.086375e-48 14.620248
## catalonia=catalonia_0 50.00000 57.93103 23.43096 6.961530e-48 14.537981
## velferdsprofitt=velferdsprofitt_0 38.40948 78.27586 41.21339 4.093065e-47 14.416193
## metoo=metoo_0 44.25837 63.79310 29.14923 4.434950e-44 13.925489
## Q11_9_politikk_andre_land=Q11_9_politikk_andre_land_0 30.76923 93.79310 61.64575 8.333064e-44 13.880355
## kommunesammen=kommunesammen_0 45.03817 61.03448 27.40586 1.275839e-42 13.683400
## russlandval=russlandval_0 44.61153 61.37931 27.82427 3.405168e-42 13.611849
## Q11_11_lokalpolitikk=Q11_11_lokalpolitikk_0 34.47783 83.10345 48.74477 1.393135e-41 13.508509
## oljenord=oljenord_0 36.27608 77.93103 43.44491 7.232829e-41 13.386695
## Q47c_valgsending=Q47c_valgsending_0 36.29032 77.58621 43.23570 1.581717e-40 13.328439
## listhaugsverige=listhaugsverige_0 35.21341 79.65517 45.74616 8.783710e-40 13.199912
## Q47h_diskusjon_venne_familie=Q47h_diskusjon_venne_familie_0 36.65541 74.82759 41.28312 1.383123e-38 12.990614
## nordkorea=nordkorea_0 54.58716 41.03448 15.20223 1.199868e-35 12.462218
## Q11_6_ledere_kommentarer=Q11_6_ledere_kommentarer_0 28.78307 93.79310 65.89958 2.254706e-35 12.411819
## Q11_1_utenriksnyheter=Q11_1_utenriksnyheter_0 44.28969 54.82759 25.03487 2.831300e-35 12.393576
## brexit=brexit_0 39.33054 64.82759 33.33333 3.037837e-35 12.387930
## Q47b_partilederdebatt=Q47b_partilederdebatt_0 31.57895 84.82759 54.32357 3.075386e-34 12.200865
## Q11_7_leserinnlegg_debatt_kronik=Q11_7_leserinnlegg_debatt_kronik_0 31.28272 82.41379 53.27755 8.481353e-31 11.538063
## Urix=notUrix 29.45915 88.27586 60.59972 1.187437e-30 11.509076
## Q11_2_innenriksnyheter=Q11_2_innenriksnyheter_0 52.94118 37.24138 14.22594 3.793366e-30 11.408471
## Dagsreveyen=notDagsreveyen 41.46341 52.75862 25.73222 4.342862e-29 11.194409
## voldvidg=voldvidg_0 34.28094 70.68966 41.70153 5.353642e-29 11.175848
## jensen=jensen_0 38.26879 57.93103 30.61367 1.116442e-27 10.902898
## r5Q6o_nyheterTV=nyhtvNEI 33.27869 70.00000 42.53835 4.057075e-26 10.571100
## lokalsjukehus=lokalsjukehus_0 30.38822 78.27586 52.09205 1.306090e-24 10.240464
## formueskatt=formueskatt_0 28.57143 84.82759 60.04184 3.904426e-24 10.133976
## r5Q6a_papiravis=papaviNEI 26.21359 93.10345 71.82706 2.962508e-23 9.933960
## nikabforbod=nikabforbod_0 29.13580 81.37931 56.48536 3.279743e-23 9.923815
## Q47j_partiprogram=Q47j_partiprogram_0 26.89076 88.27586 66.38773 3.990473e-21 9.432862
## Q18a_NRK_P1=Q18a_NRK_P1_0 28.57143 80.68966 57.11297 5.407754e-21 9.400940
## Dagsnytt_18=notDagsnytt_18 27.79043 84.13793 61.22734 5.605309e-21 9.397165
## rumentigg=rumentigg_0 29.37250 75.86207 52.23152 3.548707e-20 9.200928
## plastkvalen=plastkvalen_0 31.57895 66.20690 42.39888 6.108341e-20 9.142397
## Q4c_papiravis_abo=Q4c_papiravis_abo_0 28.11005 81.03448 58.29847 7.947923e-20 9.113891
## SAS=SAS_0 25.42373 93.10345 74.05858 7.972347e-20 9.113558head(res.hcpc$desc.var$category$`2`, n=40)## Cla/Mod Mod/Cla Global p.value v.test
## stdalder=60+ 35.34483 70.68966 32.35704 1.421854e-39 13.163580
## Q6o_nyheterTV=Q6o_nyheterTV_5 dager eller mer 25.24272 89.65517 57.46165 3.476771e-31 11.614534
## r5Q6o_nyheterTV=nyhTV 25.24272 89.65517 57.46165 3.476771e-31 11.614534
## Q17b_Strommetjenester=Q17b_Strommetjenester_0 25.44304 86.63793 55.09066 9.083078e-29 11.128819
## alderkjonn=60+ K 44.39252 40.94828 14.92329 1.925682e-27 10.853198
## Q32_stilling=Alderspensjonist 38.64407 49.13793 20.57183 2.948344e-27 10.814206
## r32stilling=alderspensj 38.64407 49.13793 20.57183 2.948344e-27 10.814206
## Q31_fag=Q31_fag_Manglar 44.18605 32.75862 11.99442 4.470512e-21 9.420944
## utdtype=utdtypeoppgjeve 32.50689 50.86207 25.31381 2.855963e-20 9.224233
## rutd3.1=rutd3.1_folkvidg 22.28321 87.50000 63.52859 9.818098e-19 8.837162
## rutd3=rutd3_folkvidg 22.28321 87.50000 63.52859 9.818098e-19 8.837162
## Q16b_NRK1=Q16b_NRK1_NRK1 19.40928 99.13793 82.63598 1.352190e-18 8.801318
## Q47g_diskusjon_jobb=Q47g_diskusjon_jobb_0 21.81243 89.22414 66.17852 2.598193e-18 8.727737
## Distriksnyheter=Distriksnyheter 21.98276 87.93103 64.71409 5.509283e-18 8.642299
## mcaoffpriv=annet 25.64516 68.53448 43.23570 2.397590e-17 8.472705
## Q6a_papiravis=Q6a_papiravis_5 dager eller mer 29.70297 51.72414 28.17294 8.642293e-17 8.322094
## r5Q6a_papiravis=papiravis 29.70297 51.72414 28.17294 8.642293e-17 8.322094
## ccapvol=Low 29.82456 51.29310 27.82427 9.114291e-17 8.315790
## Q47e_nettsider_parti=Q47e_nettsider_parti_0 20.10919 95.25862 76.63877 1.389820e-16 8.265610
## Q17a_Youtube.1=Q17a_Youtube.1_0 23.87640 73.27586 49.65132 1.662098e-15 7.964264
## Q17a_Youtube=Q17a_Youtube_0 23.87640 73.27586 49.65132 1.662098e-15 7.964264
## Q6d_TVdirekte=Q6d_TVdirekte_5 dager eller mer 23.31126 75.86207 52.64993 2.848160e-15 7.897385
## r5Q6d_TVdirekte=tvdirekte 23.31126 75.86207 52.64993 2.848160e-15 7.897385
## Q11_9_politikk_andre_land=Q11_9_politikk_andre_land_0 21.94570 83.62069 61.64575 3.183332e-15 7.883501
## Modern_Family=notModern_Family 19.73214 95.25862 78.10321 7.321270e-15 7.778805
## Q16a_LokalTV=Q16a_LokalTV_Lokal-tv 34.76395 34.91379 16.24826 1.066293e-14 7.731090
## csoc2=Low sym 36.05769 32.32759 14.50488 1.660028e-14 7.674548
## Q6g_radio_opptak=Q6g_radio_opptak_Aldri 25.48330 62.50000 39.67922 1.876178e-14 7.658841
## Q47h_diskusjon_venne_familie=Q47h_diskusjon_venne_familie_0 25.00000 63.79310 41.28312 4.849317e-14 7.535913
## Skam=notSkam 20.11385 91.37931 73.50070 2.156487e-13 7.338718
## Q18a_NRK_P1=Q18a_NRK_P1_Radio - NRK P1 24.39024 64.65517 42.88703 3.455039e-13 7.275358
## Q47r_pavirke_andre=Q47r_pavirke_andre_0 18.74484 97.84483 84.44909 7.040750e-13 7.178641
## Game_of_Thrones=notGame_of_Thrones 20.01898 90.94828 73.50070 9.547332e-13 7.136880
## Q4c_papiravis_abo=Q4c_papiravis_abo_Abonnement på papiravis 24.24749 62.50000 41.70153 3.502452e-12 6.955929
## yrke2=uklass 22.80946 70.68966 50.13947 4.966996e-12 6.906516
## Q16g_TV2=Q16g_TV2_TV 2 19.88636 90.51724 73.64017 5.557016e-12 6.890568
## brexit=brexit_0 25.73222 53.01724 33.33333 1.406546e-11 6.757230
## Q47j_partiprogram=Q47j_partiprogram_0 20.58824 84.48276 66.38773 2.103459e-11 6.698655
## Q57g_personlig_protest=Q57g_personlig_protest_0 18.62583 96.98276 84.23989 2.687882e-11 6.662729
## co2budsj=co2budsj_0 18.31325 98.27586 86.82008 3.805247e-11 6.611469head(res.hcpc$desc.var$category$`3`, n=40)## Cla/Mod Mod/Cla Global p.value v.test
## r32stilling=iarbeid 31.07618 90.81272 57.670851 7.913022e-42 13.550093
## mcaoffpriv=privat 38.19302 65.72438 33.960948 1.348294e-34 12.267823
## utdtype=hardsubj 32.25806 63.60424 38.912134 6.218097e-21 9.386239
## csoc2=High econ 50.32680 27.20848 10.669456 1.254717e-19 9.064244
## ccapvol=High 33.47732 54.77032 32.287308 1.820865e-18 8.767865
## alderkjonn=45-59 M 41.99134 34.27562 16.108787 8.260102e-18 8.595919
## r40inn4=r40inn4_500-799 35.23316 48.05654 26.917713 9.853946e-18 8.575637
## stdalder=45-59 34.84848 48.76325 27.615063 1.490413e-17 8.527890
## Q32_stilling=Funksjonær, ledende stilling ellers 49.23077 22.61484 9.065551 1.524801e-15 7.974920
## mcahusinnt=1.200.000 – 1.399.000 kroner 48.17518 23.32155 9.553696 2.021240e-15 7.940035
## Q47g_diskusjon_jobb=Q47g_diskusjon_jobb_Diskuterte stortingsvalget på jobb 31.54639 54.06360 33.821478 4.510551e-15 7.839858
## r40inn4=r40inn4_800+ 50.42735 20.84806 8.158996 6.172869e-15 7.800364
## Q11_13_neringslivstoff=Q11_13_neringslivstoff_Næringslivstoff 30.81395 56.18375 35.983264 9.270754e-15 7.748879
## Q11_17_sosialomsorg=Q11_17_sosialomsorg_0 24.72362 86.92580 69.386332 3.825636e-14 7.566789
## ccapcomp=Econ 31.86047 48.40989 29.986053 2.590979e-13 7.314107
## Q6b_nettavis=Q6b_nettavis_5 dager eller mer 24.30000 85.86572 69.735007 3.893684e-12 6.940988
## r5Q6b_nettavis=nettavis 24.30000 85.86572 69.735007 3.893684e-12 6.940988
## brexit=brexit_Brexit og EUs fremtid 24.47699 82.68551 66.666667 3.072281e-11 6.643064
## Q57a_interesseorganisasjon=Q57a_interesseorganisasjon_0 21.89490 97.17314 87.587169 6.787697e-10 6.170959
## Q31_fag=Q31_fag_Økonomi og administrasjon 34.83607 30.03534 17.015342 8.182826e-10 6.141340
## Q71k_idrettslag=Q71k_idrettslag_Idrettslag eller sportsforening 33.10580 34.27562 20.432357 8.189263e-10 6.141215
## nordkorea=nordkorea_Situasjonen i Nord-Korea 22.12171 95.05300 84.797768 3.728729e-09 5.895799
## rutd3.1=rutd3.1_hog1_4 31.38462 36.04240 22.663877 8.508625e-09 5.758060
## rutd3=rutd3_hog1_4 31.38462 36.04240 22.663877 8.508625e-09 5.758060
## kjonnx=Mann 25.46917 67.13781 52.022315 1.054429e-08 5.721733
## Q71n_pensjonistforening=Q71n_pensjonistforening_0 21.15964 99.29329 92.608089 1.283467e-08 5.688251
## Q19viktigste_nyhetskilde=Nettaviser/apper/e-aviser: gratis 27.25632 53.35689 38.633194 2.084613e-08 5.604828
## Q57d_demonstrasjon=Q57d_demonstrasjon_0 21.45624 97.87986 90.027894 2.241955e-08 5.592211
## r49polpar=r49polpar_Høyre 32.24638 31.44876 19.246862 3.002399e-08 5.541297
## csoc2=High sym 38.84892 19.08127 9.693166 3.665815e-08 5.506239
## yrke2=LÂgare funksjonÊrar 42.57426 15.19435 7.043236 5.069082e-08 5.448870
## Q47n_sosmedier_dele_kommentere=Q47n_sosmedier_dele_kommentere_0 21.75665 95.40636 86.541144 8.928974e-08 5.347272
## Q11_18_fattigdom_utviklingsland=Q11_18_fattigdom_utviklingsland_0 22.67760 87.98587 76.569038 9.952535e-08 5.327588
## Q14g_DagensNeringsliv=Q14g_DagensNeringsliv_Dagens Næringsliv 33.64929 25.08834 14.714086 2.053840e-07 5.194397
## yrke2=Realistar, juristar, økonomar 48.33333 10.24735 4.184100 3.849061e-07 5.076275
## Q31_fag=Q31_fag_Ingeniørfag eller andre teknologiske fag 34.61538 22.26148 12.691771 3.933415e-07 5.072152
## Q57h_underskriftskamapnje=Q57h_underskriftskamapnje_0 24.03283 72.43816 59.483961 4.840196e-07 5.032542
## Q14p_VG=Q14p_VG_VG 23.63239 76.32509 63.737796 5.018809e-07 5.025592
## Q17b_Strommetjenester=Q17b_Strommetjenester_Strømmetjenester som Netflix, Nordisk HBO, Viaplay 25.46584 57.95053 44.909344 9.453439e-07 4.902687
## Q71c_interesseorganisasjon=Q71c_interesseorganisasjon_0 21.19816 97.52650 90.794979 1.029245e-06 4.885963head(res.hcpc$desc.var$category$`4`, n=40)## Cla/Mod Mod/Cla Global p.value v.test
## r5Q6o_nyheterTV=nyhtvNEI 30.49180 82.66667 42.538354 3.291226e-41 13.445064
## ccapcomp=Cult 34.45190 68.44444 31.171548 1.701498e-36 12.617015
## r5Q6d_TVdirekte=tvdirNEI 27.98233 84.44444 47.350070 5.655749e-36 12.522047
## utdtype=softsubj 35.24590 57.33333 25.523013 5.308905e-29 11.176593
## alderkjonn=<30 K 54.13534 32.00000 9.274756 7.193476e-28 10.942810
## stdalder=Under 30 41.05691 44.88889 17.154812 2.205545e-27 10.840792
## r5Q6a_papiravis=papaviNEI 20.87379 95.55556 71.827057 1.314713e-22 9.784324
## csoc2=High cult 41.52047 31.55556 11.924686 1.599281e-18 8.782467
## Q11_27_bil_motor=Q11_27_bil_motor_0 20.26769 94.22222 72.942817 2.048853e-18 8.754569
## Q11_20_kulturanmeldelser=Q11_20_kulturanmeldelser_Anmeldelser av kultur (f.eks film, kunst, musikk) 25.32258 69.77778 43.235704 2.414582e-18 8.736024
## Skam=Skam 30.26316 51.11111 26.499303 5.660711e-18 8.639202
## Q69a_oppvekst_kultur=Q69a_oppvekst_kultur_Helt enig 30.95238 46.22222 23.430962 1.453535e-16 8.260262
## mcakultheim=mcakultheim_Helt enig 30.95238 46.22222 23.430962 1.453535e-16 8.260262
## Q17b_Strommetjenester=Q17b_Strommetjenester_Strømmetjenester som Netflix, Nordisk HBO, Viaplay 24.22360 69.33333 44.909344 9.757314e-16 8.029874
## Q57h_underskriftskamapnje=Q57h_underskriftskamapnje_Signert på underskriftskampanje (enten på papir eller nett) 25.12909 64.88889 40.516039 1.029089e-15 8.023339
## Q32_stilling=Elev/Student/Lærling 44.91525 23.55556 8.228731 2.118015e-15 7.934232
## r32stilling=elevstudlaer 44.91525 23.55556 8.228731 2.118015e-15 7.934232
## Q57j_deltatt_markering=Q57j_deltatt_markering_Deltatt i en markering av typen Earth Hour, FN-dagen eller 29.66102 46.66667 24.686192 3.453964e-15 7.873304
## kjonnx=Kvinne 23.25581 71.11111 47.977685 2.455968e-14 7.624177
## Q16b_NRK1=Q16b_NRK1_0 32.93173 36.44444 17.364017 3.297827e-14 7.586059
## Modern_Family=Modern_Family 30.25478 42.22222 21.896792 4.949660e-14 7.533240
## Q16g_TV2=Q16g_TV2_0 28.30688 47.55556 26.359833 7.315273e-14 7.482085
## Q16i_TV_2_Nyhetskanalen=Q16i_TV_2_Nyhetskanalen_0 20.48319 86.66667 66.387727 9.295751e-14 7.450542
## metoo=metoo_Detbatten om seksuell trakassering av kvinner (#Metoo) 19.88189 89.77778 70.850767 2.098553e-13 7.342363
## Q47h_diskusjon_venne_familie=Q47h_diskusjon_venne_familie_Diskuterte stortingsvalget med venner eller familie 21.37767 80.00000 58.716876 2.626104e-13 7.312299
## csoc2=Intermed cult 35.02538 30.66667 13.737796 2.856969e-13 7.300972
## Q6o_nyheterTV=Q6o_nyheterTV_Sjeldnere 35.51913 28.88889 12.761506 8.691932e-13 7.149776
## r5Q6p_nyheter_radio=nyhradioNEI 21.65207 76.88889 55.718271 9.181175e-13 7.142255
## r5Q6f_radio_direkte=radiodirNEI 21.98953 74.66667 53.277545 9.391474e-13 7.139143
## Distriksnyheter=notDistriksnyheter 25.09881 56.44444 35.285914 1.648294e-12 7.061403
## Q47e_nettsider_parti=Q47e_nettsider_parti_Oppsøkte nettsidene til et eller flere av partiene 28.35821 42.22222 23.361227 5.585150e-12 6.889849
## Q11_19_natur_miljovern=Q11_19_natur_miljovern_Natur- og miljøvernstoff 24.05745 59.55556 38.842399 8.153165e-12 6.835830
## Game_of_Thrones=Game_of_Thrones 27.10526 45.77778 26.499303 9.355947e-12 6.816078
## Q19viktigste_nyhetskilde=Nettaviser/apper/e-aviser: gratis 24.00722 59.11111 38.633194 1.362889e-11 6.761799
## Q16n_TVNorge=Q16n_TVNorge_0 22.80431 65.77778 45.258020 1.734848e-11 6.726758
## Q18a_NRK_P1=Q18a_NRK_P1_0 21.12332 76.88889 57.112971 2.080296e-11 6.700274
## Q16p_Max=Q16p_Max_0 19.45525 88.88889 71.687587 2.306848e-11 6.685152
## Q11_11_lokalpolitikk=Q11_11_lokalpolitikk_0 22.17454 68.88889 48.744770 3.468246e-11 6.625180
## Q6o_nyheterTV=Q6o_nyheterTV_1-2 dager 34.91124 26.22222 11.785216 3.496507e-11 6.623981
## Q47i_valgomat=Q47i_valgomat_Svarte på valgomat eller partitest 20.75919 77.77778 58.786611 8.782295e-11 6.486552head(res.hcpc$desc.var$category$`5`, n=40)## Cla/Mod Mod/Cla Global p.value v.test
## Q6o_nyheterTV=Q6o_nyheterTV_5 dager eller mer 23.05825 93.13725 57.46165 3.871319e-34 12.182111
## r5Q6o_nyheterTV=nyhTV 23.05825 93.13725 57.46165 3.871319e-34 12.182111
## stdalder=60+ 31.03448 70.58824 32.35704 6.235754e-34 12.143176
## alderkjonn=60+ M 40.40000 49.50980 17.43375 2.673835e-31 11.636958
## Q32_stilling=Alderspensjonist 37.28814 53.92157 20.57183 5.873785e-31 11.569626
## r32stilling=alderspensj 37.28814 53.92157 20.57183 5.873785e-31 11.569626
## Q6d_TVdirekte=Q6d_TVdirekte_5 dager eller mer 22.78146 84.31373 52.64993 1.961591e-24 10.201041
## r5Q6d_TVdirekte=tvdirekte 22.78146 84.31373 52.64993 1.961591e-24 10.201041
## mcaoffpriv=annet 24.67742 75.00000 43.23570 3.423170e-23 9.919544
## krfvregj=krfvregj_KrFs og Venstres rolle i et regjeringssamarbeid etter valge 22.10928 85.29412 54.88145 4.264545e-23 9.897584
## listhaugsverige=listhaugsverige_Sylvi Listhaugs besøk i Sverige 21.97943 83.82353 54.25384 1.218125e-21 9.556495
## Q11_27_bil_motor=Q11_27_bil_motor_Bil / motor 29.38144 55.88235 27.05718 3.394233e-21 9.449817
## Q11_11_lokalpolitikk=Q11_11_lokalpolitikk_Lokalpolitikk 22.44898 80.88235 51.25523 4.413148e-21 9.422300
## statsbudsj=statsbudsj_Debatten om det nye statsbudsjettet 23.25926 76.96078 47.07113 7.153669e-21 9.371459
## storeprivok=storeprivok_Jonas Gahr Støres privatøkonomi 27.84223 58.82353 30.05579 2.292631e-20 9.247752
## SSB=SSB_SSB 19.39086 93.62745 68.68898 2.505359e-20 9.238261
## SAS=SAS_Forhandlingene mellom arbeidsgiver og piloter i SAS om lønn 29.03226 52.94118 25.94142 3.662868e-19 8.946694
## Q11_10_nasjonal_politikk=Q11_10_nasjonal_politikk_Nasjonal politikk 21.41935 81.37255 54.04463 1.908267e-18 8.762583
## velferdsprofitt=velferdsprofitt_Debatten om velferdsprofitører og private tjenestetilbydere 20.64057 85.29412 58.78661 1.956310e-18 8.759780
## brexit=brexit_Brexit og EUs fremtid 19.35146 90.68627 66.66667 1.196592e-17 8.553261
## oljenord=oljenord_Leteboring etter olje utenfor Lofoten, Vesterålen og Senja 20.59186 81.86275 56.55509 2.580044e-16 8.191493
## formueskatt=formueskatt_Debatten om formueskatt 23.56021 66.17647 39.95816 3.517775e-16 8.154104
## Q58c_Snapchat=Q58c_Snapchat_0 22.92359 67.64706 41.98047 1.621075e-15 7.967354
## yrke2=uklass 21.41864 75.49020 50.13947 1.779920e-15 7.955790
## nikabforbod=nikabforbod_Regjeringens forslag om å forby nikab i skolen 22.59615 69.11765 43.51464 1.918749e-15 7.946487
## kommunesammen=kommunesammen_Kommunesammenslåing 18.25168 93.13725 72.59414 3.437281e-15 7.873909
## catalonia=catalonia_Folkeavstemmingen om løsrivelse for Catalonia i Spania 17.75956 95.58824 76.56904 3.570810e-15 7.869142
## jensen=jensen_Saken mot politimann Erik Jensen 18.59296 90.68627 69.38633 8.785949e-15 7.755697
## syriaflykt=syriaflykt_Håndteringen av flyktningestrømmen fra Syria 18.84058 89.21569 67.36402 9.213701e-15 7.749663
## Q18a_NRK_P1=Q18a_NRK_P1_Radio - NRK P1 22.43902 67.64706 42.88703 1.594494e-14 7.679710
## Q11_6_ledere_kommentarer=Q11_6_ledere_kommentarer_Ledere og kommentarer 24.33538 58.33333 34.10042 1.940638e-14 7.654501
## Q6a_papiravis=Q6a_papiravis_5 dager eller mer 25.74257 50.98039 28.17294 8.558309e-14 7.461438
## r5Q6a_papiravis=papiravis 25.74257 50.98039 28.17294 8.558309e-14 7.461438
## Q47b_partilederdebatt=Q47b_partilederdebatt_Fulgte partilederdebatt på TV/radio 21.67939 69.60784 45.67643 1.113577e-13 7.426680
## rumentigg=rumentigg_Dokumentarfilmen om de rumenske tiggerne i Bergen 21.31387 71.56863 47.76848 1.291436e-13 7.407046
## lokalsjukehus=lokalsjukehus_Plassering av sykehus/helsetjenester i distriktene i Norge 21.25182 71.56863 47.90795 1.780742e-13 7.364303
## Q11_7_leserinnlegg_debatt_kronik=Q11_7_leserinnlegg_debatt_kronik_Leserinnlegg / debatt / kronikker 21.34328 70.09804 46.72245 3.900306e-13 7.258976
## Q11_13_neringslivstoff=Q11_13_neringslivstoff_Næringslivstoff 23.25581 58.82353 35.98326 7.657236e-13 7.167155
## Modern_Family=notModern_Family 17.32143 95.09804 78.10321 9.214608e-13 7.141756
## Q17b_Strommetjenester=Q17b_Strommetjenester_0 20.00000 77.45098 55.09066 1.082742e-12 7.119557head(res.hcpc$desc.var$category$`6`, n=40)## Cla/Mod Mod/Cla Global p.value v.test
## Q47h_diskusjon_venne_familie=Q47h_diskusjon_venne_familie_Diskuterte stortingsvalget med venner eller familie 13.18290 94.06780 58.716876 1.863538e-19 9.021015
## rutd3.1=rutd3.1_hog5 26.76768 44.91525 13.807531 3.620741e-18 8.690115
## rutd3=rutd3_hog5 26.76768 44.91525 13.807531 3.620741e-18 8.690115
## Q11_10_nasjonal_politikk=Q11_10_nasjonal_politikk_Nasjonal politikk 13.54839 88.98305 54.044630 2.468612e-17 8.469305
## Q11_6_ledere_kommentarer=Q11_6_ledere_kommentarer_Ledere og kommentarer 16.97342 70.33898 34.100418 5.847290e-17 8.368265
## nobellitt=nobellitt_Tildelingen av Nobels Litteraturpris 21.50171 53.38983 20.432357 9.301137e-17 8.313383
## velferdsprofitt=velferdsprofitt_Debatten om velferdsprofitører og private tjenestetilbydere 12.81139 91.52542 58.786611 2.117737e-16 8.215221
## Q47d_avislesing=Q47d_avislesing_Leste om valget i aviser (på papir eller nett) 11.97861 94.91525 65.202232 1.472364e-15 7.979241
## Hjorth=Hjorth_Helga Hjorts roman “Fri vilje” og debatten om virkelighetsl 24.40191 43.22034 14.574616 1.947121e-15 7.944668
## Q11_11_lokalpolitikk=Q11_11_lokalpolitikk_Lokalpolitikk 13.60544 84.74576 51.255230 2.410727e-15 7.918149
## Q47j_partiprogram=Q47j_partiprogram_Leste i partiprogrammene til et eller flere av partiene 16.59751 67.79661 33.612273 2.775267e-15 7.900617
## Q11_20_kulturanmeldelser=Q11_20_kulturanmeldelser_Anmeldelser av kultur (f.eks film, kunst, musikk) 14.67742 77.11864 43.235704 6.875881e-15 7.786743
## Q11_18_fattigdom_utviklingsland=Q11_18_fattigdom_utviklingsland_Fattigdom i utviklingsland 19.34524 55.08475 23.430962 8.187724e-15 7.764640
## statsbudsj=statsbudsj_Debatten om det nye statsbudsjettet 14.07407 80.50847 47.071130 8.936416e-15 7.753542
## Q71g_fadder=Q71g_fadder_Fadderorganisasjon (eks. SOS Barnebyer eller Plan Norge) 22.50000 45.76271 16.736402 9.002777e-15 7.752603
## Q11_9_politikk_andre_land=Q11_9_politikk_andre_land_Politikk i andre land 15.45455 72.03390 38.354254 1.168344e-14 7.719448
## Q47c_valgsending=Q47c_valgsending_Fulgte (deler av) valgsendingen på TV/radio 12.65356 87.28814 56.764296 1.147183e-13 7.422744
## Q11_8_portrettintervjuer=Q11_8_portrettintervjuer_Portrettintervjuer 16.62818 61.01695 30.195258 5.035465e-13 7.224339
## Q11_19_natur_miljovern=Q11_19_natur_miljovern_Natur- og miljøvernstoff 14.90126 70.33898 38.842399 5.750551e-13 7.206270
## ISEIrtot3=ISEIhigh 15.18027 67.79661 36.750349 1.076928e-12 7.120300
## Q11_17_sosialomsorg=Q11_17_sosialomsorg_Sosialomsorg 16.40091 61.01695 30.613668 1.131842e-12 7.113442
## Q57j_deltatt_markering=Q57j_deltatt_markering_Deltatt i en markering av typen Earth Hour, FN-dagen eller 17.79661 53.38983 24.686192 2.677234e-12 6.993703
## Q4g_tidsskrift=Q4g_tidsskrift_Tidsskrift (abonnement eller kjøpes jevnlig ) 21.52466 40.67797 15.550907 4.472561e-12 6.921383
## listhaugsverige=listhaugsverige_Sylvi Listhaugs besøk i Sverige 12.59640 83.05085 54.253835 8.513331e-12 6.829631
## oljenord=oljenord_Leteboring etter olje utenfor Lofoten, Vesterålen og Senja 12.33046 84.74576 56.555091 1.206865e-11 6.779387
## Q62g_formidle_engasjement=Q62g_formidle_engasjement_Ønske om å få formidlet informasjon om saker jeg er engasje 17.98780 50.00000 22.873082 1.605702e-11 6.738010
## syriaflykt=syriaflykt_Håndteringen av flyktningestrømmen fra Syria 11.28364 92.37288 67.364017 2.339927e-11 6.683067
## Q47b_partilederdebatt=Q47b_partilederdebatt_Fulgte partilederdebatt på TV/radio 13.43511 74.57627 45.676430 3.541073e-11 6.622110
## Q71e_friluftsliv=Q71e_friluftsliv_Fritids- eller uteaktivitetorganisasjon (eks. Den Norske Tu 20.16807 40.67797 16.596932 6.281029e-11 6.536892
## Urix=Urix 14.15929 67.79661 39.400279 8.978402e-11 6.483222
## krfvregj=krfvregj_KrFs og Venstres rolle i et regjeringssamarbeid etter valge 12.32529 82.20339 54.881450 9.467659e-11 6.475216
## Q62j_rolle_i_samfunn=Q62j_rolle_i_samfunn_0 12.29404 82.20339 55.020921 1.155712e-10 6.445038
## kommunesammen=kommunesammen_Kommunesammenslåing 10.75889 94.91525 72.594142 1.307939e-10 6.426246
## Q6a_papiravis=Q6a_papiravis_5 dager eller mer 16.08911 55.08475 28.172943 1.527696e-10 6.402583
## r5Q6a_papiravis=papiravis 16.08911 55.08475 28.172943 1.527696e-10 6.402583
## Q57a_interesseorganisasjon=Q57a_interesseorganisasjon_Deltatt aktivt i en interesseorganisasjon eller kampanjegru 22.47191 33.89831 12.412831 1.557029e-10 6.399680
## russlandval=russlandval_Etterforskning av mulig russisk innblanding i det amerikans 10.72464 94.06780 72.175732 5.114699e-10 6.215544
## catalonia=catalonia_Folkeavstemmingen om løsrivelse for Catalonia i Spania 10.38251 96.61017 76.569038 5.438209e-10 6.205908
## Q71d_miljovern=Q71d_miljovern_Miljøvernorganisasjon (eks. WWF Norge eller Naturvernforbun 31.25000 21.18644 5.578801 6.547953e-10 6.176641
## SSB=SSB_SSB 10.96447 91.52542 68.688982 8.852159e-10 6.128841head(res.hcpc$desc.var$category$`7`, n=40)## Cla/Mod Mod/Cla Global p.value v.test
## Q47n_sosmedier_dele_kommentere=Q47n_sosmedier_dele_kommentere_Delte eller kommenterte nyheter knyttet til valget eller no 35.751295 84.14634 13.458856 5.053747e-52 15.176591
## Q47s_politisk_mote=Q47s_politisk_mote_Deltok på politisk møte 62.121212 50.00000 4.602510 4.946546e-39 13.069072
## Q47t_deltok_valgkamp=Q47t_deltok_valgkamp_Deltok i valgkampen til et parti (valgbod/informasjon) 67.857143 46.34146 3.905160 4.042299e-38 12.908280
## Q47r_pavirke_andre=Q47r_pavirke_andre_Prøvde å påvirke andre til å stemme et bestemt parti 27.802691 75.60976 15.550907 1.350000e-36 12.635229
## Q57b_politisk_partiarbeid=Q57b_politisk_partiarbeid_Deltatt i politisk partiarbeid 43.689320 54.87805 7.182706 4.785507e-34 12.164811
## Q47o_sosmedier_statusoppdatering=Q47o_sosmedier_statusoppdatering_Skrev statusoppdatering(er) knyttet til valget i sosiale me 42.857143 54.87805 7.322176 1.398866e-33 12.076905
## Q57e_kontaktet_politiker=Q57e_kontaktet_politiker_Tatt kontakt med en politiker i forbindelse med en sak 30.681818 65.85366 12.273361 1.054795e-32 11.909602
## Q57f_kontaktet_media=Q57f_kontaktet_media_Tatt kontakt med avis/TV/radio i en sak som har engasjert d 32.191781 57.31707 10.181311 1.710090e-28 11.072272
## Q47k_sosmedier_politikere_parti=Q47k_sosmedier_politikere_parti_Fulgte parti eller politikere på sosiale medier 21.818182 73.17073 19.177127 4.112860e-28 10.993368
## Q62g_formidle_engasjement=Q62g_formidle_engasjement_Ønske om å få formidlet informasjon om saker jeg er engasje 17.378049 69.51220 22.873082 1.968991e-20 9.264008
## Q62c_korrigere_debatt=Q62c_korrigere_debatt_Ønske om å delta i debatt der jeg mener andre tar feil 21.359223 53.65854 14.365411 4.154501e-18 8.674478
## Q62b_dele_synspunkt=Q62b_dele_synspunkt_Ønske om å dele mine synspunkter med andre 18.283582 59.75610 18.688982 1.591589e-17 8.520287
## Q62a_nyttig_for_andre=Q62a_nyttig_for_andre_Ønske om å dele informasjon som er nyttig for andre 15.039578 69.51220 26.429568 4.962158e-17 8.387588
## Q65d_folger_sider_grupper=Q65d_folger_sider_grupper_Passer helt 22.807018 47.56098 11.924686 9.265644e-17 8.313837
## Q47q_oppfordre_stemmerett=Q47q_oppfordre_stemmerett_Oppfordret andre til å bruke stemmeretten (i sosiale medier 14.018692 73.17073 29.846583 9.306941e-17 8.313309
## Q47f_nyhetskilder_andre=Q47f_nyhetskilder_andre_Oppsøkte andre nyhetskilder på nettet utenom de etablerte n 27.500000 40.24390 8.368201 1.404551e-16 8.264352
## Q57i_donert_penger=Q57i_donert_penger_Donert penger til en politisk organisasjon eller nettside 23.030303 46.34146 11.506276 2.012195e-16 8.221353
## Q57a_interesseorganisasjon=Q57a_interesseorganisasjon_Deltatt aktivt i en interesseorganisasjon eller kampanjegru 21.910112 47.56098 12.412831 4.304306e-16 8.129678
## Q43_23_Politiker_byrad_kommunest=Q43_23_Politiker_byrad_kommunest_Politiker i byråd eller kommunestyre 12.264151 79.26829 36.959554 1.008029e-15 8.025877
## Q47e_nettsider_parti=Q47e_nettsider_parti_Oppsøkte nettsidene til et eller flere av partiene 15.223881 62.19512 23.361227 1.039749e-14 7.734298
## formueskatt=formueskatt_Debatten om formueskatt 11.518325 80.48780 39.958159 1.507622e-14 7.686884
## Q57d_demonstrasjon=Q57d_demonstrasjon_Deltatt i en offentlig demonstrasjon 23.076923 40.24390 9.972106 4.707880e-14 7.539774
## Q65e_naturlig_delta=Q65e_naturlig_delta_Passer helt 30.769231 29.26829 5.439331 4.069999e-13 7.253213
## Q11_10_nasjonal_politikk=Q11_10_nasjonal_politikk_Nasjonal politikk 9.548387 90.24390 54.044630 4.127399e-13 7.251317
## statsbudsj=statsbudsj_Debatten om det nye statsbudsjettet 10.222222 84.14634 47.071130 1.058165e-12 7.122722
## Q47j_partiprogram=Q47j_partiprogram_Leste i partiprogrammene til et eller flere av partiene 12.033195 70.73171 33.612273 1.936733e-12 7.038965
## Q11_9_politikk_andre_land=Q11_9_politikk_andre_land_Politikk i andre land 10.909091 73.17073 38.354254 5.627257e-11 6.553318
## Q62h_fremsta_informert=Q62h_fremsta_informert_0 9.320905 85.36585 52.370990 1.196233e-10 6.439810
## Q64h_delta_viktig=Q64h_delta_viktig_Passer helt 23.300971 29.26829 7.182706 3.350422e-10 6.281630
## krfvregj=krfvregj_KrFs og Venstres rolle i et regjeringssamarbeid etter valge 9.021601 86.58537 54.881450 3.671694e-10 6.267382
## Q43_34_Stortingspolitiker=Q43_34_Stortingspolitiker_Stortingspolitiker 16.055046 42.68293 15.202232 6.447105e-10 6.179093
## Q47h_diskusjon_venne_familie=Q47h_diskusjon_venne_familie_Diskuterte stortingsvalget med venner eller familie 8.669834 89.02439 58.716876 7.385406e-10 6.157603
## Q62j_rolle_i_samfunn=Q62j_rolle_i_samfunn_Min rolle i samfunnslivet (f.eks. yrke eller verv) fører ti 37.500000 18.29268 2.789400 8.739384e-10 6.130881
## Q62i_starte_debatt=Q62i_starte_debatt_Ønske om å starte debatt 44.827586 15.85366 2.022315 9.268341e-10 6.121526
## Q11_11_lokalpolitikk=Q11_11_lokalpolitikk_Lokalpolitikk 9.251701 82.92683 51.255230 9.652287e-10 6.115056
## Q65f_bor_respondere=Q65f_bor_respondere_Passer helt 23.863636 25.60976 6.136681 3.588893e-09 5.902107
## velferdsprofitt=velferdsprofitt_Debatten om velferdsprofitører og private tjenestetilbydere 8.540925 87.80488 58.786611 4.577835e-09 5.861834
## storeprivok=storeprivok_Jonas Gahr Støres privatøkonomi 11.368910 59.75610 30.055788 1.092110e-08 5.715766
## Q64i_diskusjon_horer_ikke_hjemme=Q64i_diskusjon_horer_ikke_hjemme_Passer ikke 10.200364 68.29268 38.284519 1.777313e-08 5.632388
## Q47p_leserinnlegg_debattinnlegg=Q47p_leserinnlegg_debattinnlegg_Skrev leserinnlegg/debattinnlegg til avis 36.111111 15.85366 2.510460 2.334762e-08 5.585167# dersom klynger skal slåast saman
# res.hcpc$call$X$clust[res.hcpc$call$X$clust==2]<-1
# res.hcpc$call$X$clust<-droplevels(res.hcpc$call$X$clust)
#alle andre relevante klyunger
res.hcpc<-HCPC(res ,nb.clust=2,consol=TRUE,min=3,max=12,graph=FALSE)
klynger<-NULL
mecin$pcmfakly2<-NULL
klynger<-as.data.frame(res.hcpc$data.clust$clust) # lagre klyngene
klynger$resp_id<-mecin.MFA$resp_id
colnames(klynger)[colnames(klynger)=="res.hcpc$data.clust$clust"] <- "pcmfakly2"
mecin<-merge(mecin, klynger, "resp_id", all=TRUE)
res.hcpc<-HCPC(res ,nb.clust=3,consol=TRUE,min=3,max=12,graph=FALSE)
klynger<-NULL
mecin$pcmfakly3<-NULL
klynger<-as.data.frame(res.hcpc$data.clust$clust) # lagre klyngene
klynger$resp_id<-mecin.MFA$resp_id
colnames(klynger)[colnames(klynger)=="res.hcpc$data.clust$clust"] <- "pcmfakly3"
mecin<-merge(mecin, klynger, "resp_id", all=TRUE)
res.hcpc<-HCPC(res ,nb.clust=8,consol=TRUE,min=3,max=12,graph=FALSE)
klynger<-NULL
klynger<-as.data.frame(res.hcpc$data.clust$clust) # lagre klyngene
klynger$resp_id<-mecin.MFA$resp_id
colnames(klynger)[colnames(klynger)=="res.hcpc$data.clust$clust"] <- "pcmfakly8"
mecin<-merge(mecin, klynger, "resp_id", all=TRUE)
mecin$pcmfakly8<-ordered(mecin$pcmfakly8, levels=c(1,2,3,4,5,6,7,8), labels=c("1låg", "2pensjtv", "3kultkvinnupol", "4mannpriv", "5pensmannsak", "6kulthogpol", "7eldrekultkvin", "8polit"))
# klyngestatistikk
table1(~pcmfakly2 | pcmfakly3 , data = mecin)| 1 (n=473) |
2 (n=672) |
3 (n=289) |
Overall (n=2064) |
|
|---|---|---|---|---|
| pcmfakly2 | ||||
| 1 | 473 (100%) | 231 (34.4%) | 4 (1.4%) | 708 (34.3%) |
| 2 | 0 (0%) | 441 (65.6%) | 285 (98.6%) | 726 (35.2%) |
| Missing | 0 (0%) | 0 (0%) | 0 (0%) | 630 (30.5%) |
table1(~pcmfakly3 | pcmfakly4 , data = mecin)| 1låg (n=441) |
2midtrad (n=481) |
3midung (n=361) |
4hog (n=151) |
Overall (n=2064) |
|
|---|---|---|---|---|---|
| pcmfakly3 | |||||
| 1 | 426 (96.6%) | 11 (2.3%) | 35 (9.7%) | 1 (0.7%) | 473 (22.9%) |
| 2 | 14 (3.2%) | 458 (95.2%) | 199 (55.1%) | 1 (0.7%) | 672 (32.6%) |
| 3 | 1 (0.2%) | 12 (2.5%) | 127 (35.2%) | 149 (98.7%) | 289 (14.0%) |
| Missing | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 630 (30.5%) |
table1(~pcmfakly4 | pcmfakly5 , data = mecin)| 1låg (n=378) |
2midtrad (n=301) |
3midpriv (n=346) |
4midkult (n=281) |
5hog (n=128) |
Overall (n=2064) |
|
|---|---|---|---|---|---|---|
| pcmfakly4 | ||||||
| 1låg | 376 (99.5%) | 40 (13.3%) | 23 (6.6%) | 2 (0.7%) | 0 (0%) | 441 (21.4%) |
| 2midtrad | 0 (0%) | 248 (82.4%) | 231 (66.8%) | 2 (0.7%) | 0 (0%) | 481 (23.3%) |
| 3midung | 2 (0.5%) | 3 (1.0%) | 89 (25.7%) | 267 (95.0%) | 0 (0%) | 361 (17.5%) |
| 4hog | 0 (0%) | 10 (3.3%) | 3 (0.9%) | 10 (3.6%) | 128 (100%) | 151 (7.3%) |
| Missing | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 630 (30.5%) |
table1(~pcmfakly5 | pcmfakly8 , data = mecin)| 1låg (n=236) |
2pensjtv (n=226) |
3kultkvinnupol (n=186) |
4mannpriv (n=260) |
5pensmannsak (n=192) |
6kulthogpol (n=152) |
7eldrekultkvin (n=108) |
8polit (n=74) |
Overall (n=2064) |
|
|---|---|---|---|---|---|---|---|---|---|
| pcmfakly5 | |||||||||
| 1låg | 236 (100%) | 70 (31.0%) | 66 (35.5%) | 4 (1.5%) | 2 (1.0%) | 0 (0%) | 0 (0%) | 0 (0%) | 378 (18.3%) |
| 2midtrad | 0 (0%) | 140 (61.9%) | 8 (4.3%) | 0 (0%) | 106 (55.2%) | 0 (0%) | 47 (43.5%) | 0 (0%) | 301 (14.6%) |
| 3midpriv | 0 (0%) | 16 (7.1%) | 20 (10.8%) | 245 (94.2%) | 56 (29.2%) | 0 (0%) | 9 (8.3%) | 0 (0%) | 346 (16.8%) |
| 4midkult | 0 (0%) | 0 (0%) | 90 (48.4%) | 10 (3.8%) | 2 (1.0%) | 146 (96.1%) | 33 (30.6%) | 0 (0%) | 281 (13.6%) |
| 5hog | 0 (0%) | 0 (0%) | 2 (1.1%) | 1 (0.4%) | 26 (13.5%) | 6 (3.9%) | 19 (17.6%) | 74 (100%) | 128 (6.2%) |
| Missing | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 630 (30.5%) |
table1(~pcmfakly7 | pcmfakly4 , data = mecin)| 1låg (n=441) |
2midtrad (n=481) |
3midung (n=361) |
4hog (n=151) |
Overall (n=2064) |
|
|---|---|---|---|---|---|
| pcmfakly7 | |||||
| 1låg | 290 (65.8%) | 0 (0%) | 0 (0%) | 0 (0%) | 290 (14.1%) |
| 2pensjtvlok | 106 (24.0%) | 122 (25.4%) | 1 (0.3%) | 3 (2.0%) | 232 (11.2%) |
| 3nærokmann | 27 (6.1%) | 166 (34.5%) | 86 (23.8%) | 4 (2.6%) | 283 (13.7%) |
| 4ukultkvi | 15 (3.4%) | 0 (0%) | 207 (57.3%) | 3 (2.0%) | 225 (10.9%) |
| 5pensmannsak | 3 (0.7%) | 174 (36.2%) | 7 (1.9%) | 20 (13.2%) | 204 (9.9%) |
| 6kultpol | 0 (0%) | 19 (4.0%) | 60 (16.6%) | 39 (25.8%) | 118 (5.7%) |
| 7polit | 0 (0%) | 0 (0%) | 0 (0%) | 82 (54.3%) | 82 (4.0%) |
| Missing | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 630 (30.5%) |
table1(~pcmfakly4 | pcmfakly7 , data = mecin)| 1låg (n=290) |
2pensjtvlok (n=232) |
3nærokmann (n=283) |
4ukultkvi (n=225) |
5pensmannsak (n=204) |
6kultpol (n=118) |
7polit (n=82) |
Overall (n=2064) |
|
|---|---|---|---|---|---|---|---|---|
| pcmfakly4 | ||||||||
| 1låg | 290 (100%) | 106 (45.7%) | 27 (9.5%) | 15 (6.7%) | 3 (1.5%) | 0 (0%) | 0 (0%) | 441 (21.4%) |
| 2midtrad | 0 (0%) | 122 (52.6%) | 166 (58.7%) | 0 (0%) | 174 (85.3%) | 19 (16.1%) | 0 (0%) | 481 (23.3%) |
| 3midung | 0 (0%) | 1 (0.4%) | 86 (30.4%) | 207 (92.0%) | 7 (3.4%) | 60 (50.8%) | 0 (0%) | 361 (17.5%) |
| 4hog | 0 (0%) | 3 (1.3%) | 4 (1.4%) | 3 (1.3%) | 20 (9.8%) | 39 (33.1%) | 82 (100%) | 151 (7.3%) |
| Missing | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 630 (30.5%) |
mecin$kly4_1 <- as.numeric(mecin$pcmfakly4 == "1låg")
mecin$kly4_2 <- as.numeric(mecin$pcmfakly4 == "2midtrad")
mecin$kly4_3 <- as.numeric(mecin$pcmfakly4 == "3midung")
mecin$kly4_4 <- as.numeric(mecin$pcmfakly4 == "4hog")
m1<-lm(pcmfa4_1 ~ kjonnx + stdalder+rutd3+r40inn4+r50tilpol5+r50behovinfo5+r06papirnettdagl, data = mecin)
m2<-lm(pcmfa4_2 ~ kjonnx + stdalder+rutd3+r40inn4+r50tilpol5+r50behovinfo5+r06papirnettdagl, data = mecin)
m3<-lm(kly4_1 ~ kjonnx + stdalder+rutd3+r40inn4+r50tilpol5+r50behovinfo5+r06papirnettdagl, data = mecin)
m4<-lm(kly4_2 ~ kjonnx + stdalder+rutd3+r40inn4+r50tilpol5+r50behovinfo5+r06papirnettdagl, data = mecin)
m5<-lm(kly4_3 ~ kjonnx + stdalder+rutd3+r40inn4+r50tilpol5+r50behovinfo5+r06papirnettdagl, data = mecin)
m6<-lm(kly4_4 ~ kjonnx + stdalder+rutd3+r40inn4+r50tilpol5+r50behovinfo5+r06papirnettdagl, data = mecin)
grid.arrange(plot_model(m1, title="Akse1"),plot_model(m2, title="Akse2"),plot_model(m3, title="1låg"),plot_model(m4, title="2tradover"),plot_model(m5, title="3ungover"),plot_model(m6, title="4hog"), nrow=3)
# plot_model(m4, type = "pred")
tab_model(m1,m2,m3, m4,m5, m6, show.se=FALSE, p.style="a", show.ci = FALSE, show.std = "std")| pcmfa 4 1 | pcmfa 4 2 | kly 4 1 | kly 4 2 | kly 4 3 | kly 4 4 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Predictors | Estimates | std. Beta | Estimates | std. Beta | Estimates | std. Beta | Estimates | std. Beta | Estimates | std. Beta | Estimates | std. Beta |
| (Intercept) | -3.19 *** | 1.85 *** | 1.05 *** | -0.24 ** | 0.16 * | 0.03 | ||||||
| Kvinne | -0.20 * | -0.05 | 0.50 *** | 0.19 | 0.02 | 0.02 | -0.12 *** | -0.13 | 0.15 *** | 0.17 | -0.05 ** | -0.08 |
| 30-44 | -0.19 | -0.04 | -0.40 *** | -0.13 | 0.08 * | 0.07 | 0.09 * | 0.08 | -0.19 *** | -0.19 | 0.02 | 0.02 |
| 45-59 | -0.19 | -0.05 | -1.24 *** | -0.42 | 0.03 | 0.02 | 0.26 *** | 0.25 | -0.33 *** | -0.34 | 0.04 | 0.06 |
| 60+ | 0.08 | 0.02 | -1.96 *** | -0.69 | -0.05 | -0.05 | 0.42 *** | 0.41 | -0.39 *** | -0.42 | 0.02 | 0.03 |
| hog 1 4 | 0.35 *** | 0.08 | 0.33 *** | 0.10 | -0.14 *** | -0.13 | -0.04 | -0.03 | 0.21 *** | 0.21 | -0.03 | -0.05 |
| hog 5 | 1.09 *** | 0.20 | 0.72 *** | 0.19 | -0.19 *** | -0.14 | -0.18 *** | -0.13 | 0.38 *** | 0.30 | -0.01 | -0.01 |
| 300-499 | -0.09 | -0.02 | -0.08 | -0.03 | -0.02 | -0.02 | 0.03 | 0.03 | 0.00 | 0.00 | -0.00 | -0.01 |
| 500-799 | 0.08 | 0.02 | -0.08 | -0.03 | -0.07 * | -0.07 | 0.04 | 0.03 | 0.07 * | 0.07 | -0.03 | -0.04 |
| 800+ | 0.25 | 0.04 | -0.24 * | -0.05 | -0.06 | -0.04 | 0.11 * | 0.06 | -0.00 | -0.00 | -0.04 | -0.04 |
| Manglar | -0.27 * | -0.05 | -0.11 | -0.03 | 0.02 | 0.02 | 0.04 | 0.03 | -0.05 | -0.04 | -0.01 | -0.01 |
| r 50 tilpol 51 | 0.13 | 0.03 | -0.40 *** | -0.13 | -0.10 ** | -0.09 | 0.12 ** | 0.11 | 0.03 | 0.03 | -0.06 * | -0.08 |
| r 50 tilpol 52 | -0.78 ** | -0.06 | -0.78 *** | -0.09 | 0.07 | 0.02 | 0.19 * | 0.06 | -0.16 * | -0.05 | -0.10 | -0.05 |
| r 50 tilpol 53 | 0.34 ** | 0.09 | -0.58 *** | -0.22 | -0.16 *** | -0.18 | 0.18 *** | 0.19 | 0.03 | 0.04 | -0.05 | -0.08 |
| r 50 tilpol 54 | 1.02 *** | 0.13 | -0.46 *** | -0.09 | -0.22 *** | -0.12 | 0.09 | 0.05 | 0.02 | 0.01 | 0.11 ** | 0.09 |
| r 50 behovinfo 51 | 0.67 * | 0.09 | -0.05 | -0.01 | 0.06 | 0.03 | -0.03 | -0.02 | -0.05 | -0.03 | 0.02 | 0.02 |
| r 50 behovinfo 52 | 0.34 | 0.02 | 0.00 | 0.00 | 0.04 | 0.01 | 0.11 | 0.02 | -0.16 | -0.03 | 0.01 | 0.00 |
| r 50 behovinfo 53 | 2.00 *** | 0.54 | -0.53 ** | -0.20 | -0.37 *** | -0.40 | 0.19 * | 0.20 | 0.11 | 0.13 | 0.07 | 0.11 |
| r 50 behovinfo 54 | 3.30 *** | 0.89 | -0.48 ** | -0.18 | -0.63 *** | -0.68 | 0.27 *** | 0.28 | 0.19 ** | 0.21 | 0.17 ** | 0.28 |
| r 06 papirnettdagl | 0.52 *** | 0.11 | -0.24 *** | -0.07 | -0.12 *** | -0.10 | 0.08 ** | 0.07 | 0.01 | 0.01 | 0.03 | 0.03 |
| Observations | 1434 | 1434 | 1434 | 1434 | 1434 | 1434 | ||||||
| R2 / adjusted R2 | 0.430 / 0.422 | 0.520 / 0.513 | 0.364 / 0.355 | 0.245 / 0.235 | 0.332 / 0.323 | 0.075 / 0.063 | ||||||
|
||||||||||||
Klyngestatistikk
# klyngestatistikk
xvar<-"pcmfakly4"
yvars<-colnames(dplyr::select(mecin,Q2a_TV_stue:Q6p_nyheter_radio, Q7a_disponere_fritid:Q8j_ingen, Q9a_alltid_tilgjengelig:Q10m_minde_tid_fordyping, Q11_1_utenriksnyheter: Q21p_dugnad, Q22a_Dagsreveyen:Q22y_Top_Gear))
t<-tabmulti(data=mecin, xvarname=xvar, yvarnames = yvars, p.include = FALSE, decimals=0, compress=TRUE, freq.parenth = "none", cell="col.percent", overall.column = FALSE)
t## Variable 1låg (n = 107) 2midtrad (n = 150) 3midung (n = 74) 4hog (n = 33)
## [1,] "Q2a_TV_stue, %" "94" "96" "93" "91"
## [2,] "Q2b_TV_annet, %" "52" "53" "46" "52"
## [3,] "Q2c_nettbrett, %" "100" "98" "97" "97"
## [4,] "Q2d_smarttelefon, %" "100" "100" "100" "100"
## [5,] "Q2e_mobil_eldre, %" "5" "6" "3" "0"
## [6,] "Q2f_fasttelefon, %" "13" "19" "12" "27"
## [7,] "Q2g_radio, %" "72" "84" "69" "70"
## [8,] "Q2h_spillkonsoll, %" "39" "23" "47" "36"
## [9,] "Q2i_PC, %" "81" "85" "86" "91"
## [10,] "Q2j_ingen, %" "0" "0" "0" "0"
## [11,] "Q3a_TV_stue, %" "93" "94" "86" "91"
## [12,] "Q3b_TV_annet, %" "24" "26" "20" "30"
## [13,] "Q3c_nettbrett, %" "100" "98" "100" "97"
## [14,] "Q3d_smarttelefon, %" "100" "100" "100" "100"
## [15,] "Q3e_mobil_eldre, %" "3" "2" "1" "0"
## [16,] "Q3f_fasttelefon, %" "6" "13" "5" "15"
## [17,] "Q3g_radio, %" "50" "61" "38" "52"
## [18,] "Q3h_spillkonsoll, %" "10" "5" "11" "9"
## [19,] "Q3i_PC, %" "65" "71" "74" "79"
## [20,] "Q3j_ingen, %" "0" "0" "0" "0"
## [21,] "Q4a_strom_film_TV, %" "70" "55" "86" "67"
## [22,] "Q4b_strom_musikk, %" "64" "57" "73" "64"
## [23,] "Q4c_papiravis_abo, %" "22" "55" "36" "58"
## [24,] "Q4d_papiravis_kjop, %" "4" "12" "7" "33"
## [25,] "Q4e_abo_dig_avis, %" "40" "71" "66" "70"
## [26,] "Q4f_blader_magasiner, %" "25" "43" "38" "36"
## [27,] "Q4g_tidsskrift, %" "8" "17" "20" "39"
## [28,] "Q4h_ingen, %" "0" "0" "0" "0"
## [29,] "Q5a_strom_film_TV, %" "55" "36" "76" "58"
## [30,] "Q5b_strom_musikk, %" "50" "33" "62" "42"
## [31,] "Q5c_abo_papiravis, %" "21" "54" "34" "61"
## [32,] "Q5d_kjop_papiravis, %" "4" "11" "4" "24"
## [33,] "Q5e_abo_dig_avis, %" "34" "67" "61" "67"
## [34,] "Q5f_blader_magasiner, %" "23" "33" "27" "27"
## [35,] "Q5g_tidsskrift, %" "7" "10" "11" "36"
## [36,] "Q5h_ingen, %" "5" "1" "3" "0"
## [37,] "Q6a_papiravis, %" "" "" "" ""
## [38,] " 5 dager eller mer" "11" "44" "15" "48"
## [39,] " 3-4 dager" "8" "13" "11" "12"
## [40,] " 1-2 dager" "19" "14" "23" "18"
## [41,] " Sjeldnere" "42" "21" "41" "12"
## [42,] " Aldri" "20" "9" "11" "9"
## [43,] " Vet ikke" "0" "0" "0" "0"
## [44,] "Q6b_nettavis, %" "" "" "" ""
## [45,] " 5 dager eller mer" "72" "79" "78" "76"
## [46,] " 3-4 dager" "13" "12" "14" "15"
## [47,] " 1-2 dager" "9" "6" "4" "9"
## [48,] " Sjeldnere" "5" "3" "3" "0"
## [49,] " Aldri" "1" "0" "1" "0"
## [50,] " Vet ikke" "0" "0" "0" "0"
## [51,] "Q6c_nyhetsnettsteder, %" "" "" "" ""
## [52,] " 5 dager eller mer" "34" "54" "45" "70"
## [53,] " 3-4 dager" "21" "19" "28" "15"
## [54,] " 1-2 dager" "23" "17" "14" "6"
## [55,] " Sjeldnere" "21" "9" "14" "9"
## [56,] " Aldri" "2" "2" "0" "0"
## [57,] " Vet ikke" "0" "0" "0" "0"
## [58,] "Q6d_TVdirekte, %" "" "" "" ""
## [59,] " 5 dager eller mer" "53" "81" "38" "58"
## [60,] " 3-4 dager" "14" "9" "26" "24"
## [61,] " 1-2 dager" "14" "5" "16" "6"
## [62,] " Sjeldnere" "15" "5" "18" "12"
## [63,] " Aldri" "4" "0" "3" "0"
## [64,] " Vet ikke" "0" "0" "0" "0"
## [65,] "Q6e_TVopptak, %" "" "" "" ""
## [66,] " 5 dager eller mer" "31" "17" "36" "27"
## [67,] " 3-4 dager" "21" "20" "26" "18"
## [68,] " 1-2 dager" "24" "23" "19" "24"
## [69,] " Sjeldnere" "15" "29" "15" "30"
## [70,] " Aldri" "8" "11" "4" "0"
## [71,] " Vet ikke" "0" "0" "0" "0"
## [72,] "Q6f_radio_direkte, %" "" "" "" ""
## [73,] " 5 dager eller mer" "41" "65" "38" "52"
## [74,] " 3-4 dager" "17" "17" "20" "21"
## [75,] " 1-2 dager" "19" "10" "16" "9"
## [76,] " Sjeldnere" "22" "7" "24" "18"
## [77,] " Aldri" "1" "1" "1" "0"
## [78,] " Vet ikke" "0" "0" "0" "0"
## [79,] "Q6g_radio_opptak, %" "" "" "" ""
## [80,] " 5 dager eller mer" "7" "3" "3" "12"
## [81,] " 3-4 dager" "4" "3" "11" "3"
## [82,] " 1-2 dager" "7" "7" "20" "6"
## [83,] " Sjeldnere" "42" "38" "38" "64"
## [84,] " Aldri" "39" "48" "28" "15"
## [85,] " Vet ikke" "0" "0" "0" "0"
## [86,] "Q6h_sos_medier, %" "" "" "" ""
## [87,] " 5 dager eller mer" "79" "69" "81" "85"
## [88,] " 3-4 dager" "9" "13" "3" "15"
## [89,] " 1-2 dager" "7" "11" "11" "0"
## [90,] " Sjeldnere" "6" "7" "5" "0"
## [91,] " Aldri" "0" "0" "0" "0"
## [92,] " Vet ikke" "0" "0" "0" "0"
## [93,] "Q6i_dataspill, %" "" "" "" ""
## [94,] " 5 dager eller mer" "22" "10" "23" "12"
## [95,] " 3-4 dager" "9" "4" "8" "12"
## [96,] " 1-2 dager" "5" "3" "7" "6"
## [97,] " Sjeldnere" "27" "23" "27" "30"
## [98,] " Aldri" "36" "60" "35" "39"
## [99,] " Vet ikke" "0" "0" "0" "0"
## [100,] "Q6j_skjonnlitteratur, %" "" "" "" ""
## [101,] " 5 dager eller mer" "14" "21" "18" "9"
## [102,] " 3-4 dager" "12" "13" "19" "24"
## [103,] " 1-2 dager" "13" "15" "27" "27"
## [104,] " Sjeldnere" "37" "43" "36" "33"
## [105,] " Aldri" "23" "7" "0" "6"
## [106,] " Vet ikke" "0" "0" "0" "0"
## [107,] "Q6k_faglitteratur, %" "" "" "" ""
## [108,] " 5 dager eller mer" "3" "1" "8" "12"
## [109,] " 3-4 dager" "4" "1" "12" "12"
## [110,] " 1-2 dager" "10" "15" "24" "24"
## [111,] " Sjeldnere" "58" "67" "50" "52"
## [112,] " Aldri" "25" "16" "5" "0"
## [113,] " Vet ikke" "0" "0" "0" "0"
## [114,] "Q6l_musikk, %" "" "" "" ""
## [115,] " 5 dager eller mer" "44" "55" "54" "39"
## [116,] " 3-4 dager" "18" "15" "26" "21"
## [117,] " 1-2 dager" "21" "19" "16" "30"
## [118,] " Sjeldnere" "17" "11" "4" "9"
## [119,] " Aldri" "1" "0" "0" "0"
## [120,] " Vet ikke" "0" "0" "0" "0"
## [121,] "Q6m_film, %" "" "" "" ""
## [122,] " 5 dager eller mer" "16" "7" "3" "9"
## [123,] " 3-4 dager" "15" "13" "19" "21"
## [124,] " 1-2 dager" "34" "35" "43" "42"
## [125,] " Sjeldnere" "32" "43" "35" "24"
## [126,] " Aldri" "4" "1" "0" "3"
## [127,] " Vet ikke" "0" "0" "0" "0"
## [128,] "Q6n_TVserie, %" "" "" "" ""
## [129,] " 5 dager eller mer" "28" "13" "32" "27"
## [130,] " 3-4 dager" "34" "35" "30" "21"
## [131,] " 1-2 dager" "29" "38" "31" "42"
## [132,] " Sjeldnere" "9" "14" "7" "9"
## [133,] " Aldri" "0" "0" "0" "0"
## [134,] " Vet ikke" "0" "0" "0" "0"
## [135,] "Q6o_nyheterTV, %" "" "" "" ""
## [136,] " 5 dager eller mer" "47" "85" "36" "67"
## [137,] " 3-4 dager" "24" "11" "28" "12"
## [138,] " 1-2 dager" "11" "5" "16" "12"
## [139,] " Sjeldnere" "14" "0" "18" "9"
## [140,] " Aldri" "4" "0" "1" "0"
## [141,] " Vet ikke" "0" "0" "0" "0"
## [142,] "Q6p_nyheter_radio, %" "" "" "" ""
## [143,] " 5 dager eller mer" "38" "67" "38" "52"
## [144,] " 3-4 dager" "14" "13" "14" "18"
## [145,] " 1-2 dager" "16" "9" "24" "9"
## [146,] " Sjeldnere" "27" "9" "22" "21"
## [147,] " Aldri" "5" "1" "3" "0"
## [148,] " Vet ikke" "0" "0" "0" "0"
## [149,] "Q7a_disponere_fritid, %" "" "" "" ""
## [150,] " 5 dager eller mer" "64" "72" "58" "67"
## [151,] " 3-4 dager" "14" "17" "20" "18"
## [152,] " 1-2 dager" "15" "8" "16" "12"
## [153,] " Sjeldnere" "7" "3" "3" "3"
## [154,] " Aldri" "0" "0" "3" "0"
## [155,] " Vet ikke" "0" "0" "0" "0"
## [156,] "Q7b_hjemme, %" "" "" "" ""
## [157,] " 5 dager eller mer" "52" "41" "30" "18"
## [158,] " 3-4 dager" "35" "51" "49" "58"
## [159,] " 1-2 dager" "9" "7" "22" "18"
## [160,] " Sjeldnere" "3" "1" "0" "6"
## [161,] " Aldri" "1" "0" "0" "0"
## [162,] " Vet ikke" "0" "0" "0" "0"
## [163,] "Q7c_besok, %" "" "" "" ""
## [164,] " 5 dager eller mer" "3" "1" "0" "3"
## [165,] " 3-4 dager" "6" "5" "7" "6"
## [166,] " 1-2 dager" "44" "52" "59" "67"
## [167,] " Sjeldnere" "46" "42" "34" "24"
## [168,] " Aldri" "2" "0" "0" "0"
## [169,] " Vet ikke" "0" "0" "0" "0"
## [170,] "Q7d_nabo_snakk, %" "" "" "" ""
## [171,] " 5 dager eller mer" "6" "7" "1" "3"
## [172,] " 3-4 dager" "12" "23" "14" "21"
## [173,] " 1-2 dager" "31" "37" "32" "45"
## [174,] " Sjeldnere" "50" "33" "50" "27"
## [175,] " Aldri" "2" "1" "3" "3"
## [176,] " Vet ikke" "0" "0" "0" "0"
## [177,] "Q7e_ute_venner, %" "" "" "" ""
## [178,] " 5 dager eller mer" "2" "0" "0" "0"
## [179,] " 3-4 dager" "4" "3" "1" "3"
## [180,] " 1-2 dager" "23" "23" "39" "48"
## [181,] " Sjeldnere" "64" "73" "59" "48"
## [182,] " Aldri" "7" "1" "0" "0"
## [183,] " Vet ikke" "0" "0" "0" "0"
## [184,] "Q7f_middag_ute, %" "" "" "" ""
## [185,] " 5 dager eller mer" "1" "0" "0" "0"
## [186,] " 3-4 dager" "0" "0" "0" "6"
## [187,] " 1-2 dager" "7" "5" "15" "12"
## [188,] " Sjeldnere" "83" "92" "84" "79"
## [189,] " Aldri" "9" "3" "1" "3"
## [190,] " Vet ikke" "0" "0" "0" "0"
## [191,] "Q7g_overtid, %" "" "" "" ""
## [192,] " 5 dager eller mer" "4" "3" "0" "0"
## [193,] " 3-4 dager" "6" "3" "15" "3"
## [194,] " 1-2 dager" "19" "14" "26" "27"
## [195,] " Sjeldnere" "41" "34" "43" "33"
## [196,] " Aldri" "31" "46" "16" "36"
## [197,] " Vet ikke" "0" "0" "0" "0"
## [198,] "Q7h_barn_aktivitet, %" "" "" "" ""
## [199,] " 5 dager eller mer" "2" "2" "1" "3"
## [200,] " 3-4 dager" "6" "5" "7" "6"
## [201,] " 1-2 dager" "17" "9" "19" "9"
## [202,] " Sjeldnere" "26" "19" "18" "30"
## [203,] " Aldri" "50" "65" "55" "52"
## [204,] " Vet ikke" "0" "0" "0" "0"
## [205,] "Q7i_trener, %" "" "" "" ""
## [206,] " 5 dager eller mer" "8" "10" "1" "3"
## [207,] " 3-4 dager" "14" "18" "23" "27"
## [208,] " 1-2 dager" "40" "27" "34" "36"
## [209,] " Sjeldnere" "24" "33" "38" "27"
## [210,] " Aldri" "13" "12" "4" "6"
## [211,] " Vet ikke" "0" "0" "0" "0"
## [212,] "Q7j_annen_fritidsaktivitet, %" "" "" "" ""
## [213,] " 5 dager eller mer" "1" "0" "0" "0"
## [214,] " 3-4 dager" "0" "1" "0" "6"
## [215,] " 1-2 dager" "6" "10" "16" "21"
## [216,] " Sjeldnere" "35" "27" "26" "55"
## [217,] " Aldri" "59" "62" "58" "18"
## [218,] " Vet ikke" "0" "0" "0" "0"
## [219,] "Q8a_snakker, %" "71" "79" "72" "82"
## [220,] "Q8b_teksmelding_chat, %" "87" "95" "99" "94"
## [221,] "Q8c_epost, %" "79" "77" "89" "82"
## [222,] "Q8d_kalender, %" "58" "55" "84" "67"
## [223,] "Q8e_bilder_video, %" "61" "58" "66" "82"
## [224,] "Q8f_sos_medier, %" "79" "75" "86" "88"
## [225,] "Q8g_nyheter, %" "64" "69" "81" "76"
## [226,] "Q8h_kultur_underholdning, %" "37" "31" "65" "48"
## [227,] "Q8i_praktiske_formal, %" "62" "66" "82" "79"
## [228,] "Q8j_ingen, %" "0" "0" "0" "0"
## [229,] "Q9a_alltid_tilgjengelig, %" "" "" "" ""
## [230,] " Stemmer helt" "74" "73" "74" "82"
## [231,] " Stemmer delvis" "23" "24" "26" "15"
## [232,] " Stemmer ikke" "3" "3" "0" "3"
## [233,] " Usikker" "0" "0" "0" "0"
## [234,] "Q9b_smarttelefon_viktigere, %" "" "" "" ""
## [235,] " Stemmer helt" "54" "48" "50" "45"
## [236,] " Stemmer delvis" "33" "42" "38" "48"
## [237,] " Stemmer ikke" "13" "9" "12" "6"
## [238,] " Usikker" "0" "1" "0" "0"
## [239,] "Q9c_irritert, %" "" "" "" ""
## [240,] " Stemmer helt" "31" "31" "34" "36"
## [241,] " Stemmer delvis" "43" "51" "45" "39"
## [242,] " Stemmer ikke" "23" "17" "22" "24"
## [243,] " Usikker" "3" "0" "0" "0"
## [244,] "Q9d_bekymret, %" "" "" "" ""
## [245,] " Stemmer helt" "32" "35" "32" "36"
## [246,] " Stemmer delvis" "49" "52" "49" "45"
## [247,] " Stemmer ikke" "16" "9" "15" "18"
## [248,] " Usikker" "4" "4" "4" "0"
## [249,] "Q9e_vil_bruke_mindre, %" "" "" "" ""
## [250,] " Stemmer helt" "21" "11" "24" "27"
## [251,] " Stemmer delvis" "41" "43" "42" "48"
## [252,] " Stemmer ikke" "36" "45" "32" "24"
## [253,] " Usikker" "2" "1" "1" "0"
## [254,] "Q10a_bruker_mer, %" "67" "82" "76" "79"
## [255,] "Q10b_bruker_mindre, %" "11" "5" "7" "6"
## [256,] "Q10c_mer_nyheter, %" "41" "58" "55" "61"
## [257,] "Q10d_mindre_nyheter, %" "19" "7" "9" "3"
## [258,] "Q10e_deler_mer_sosmedia, %" "30" "38" "24" "52"
## [259,] "Q10f_deler_mindre_sosmedier, %" "26" "25" "42" "21"
## [260,] "Q10g_papiravis_abo_sluttet, %" "36" "38" "38" "21"
## [261,] "Q10h_nettavis_abo_begynt, %" "21" "39" "42" "48"
## [262,] "Q10i_ny_tilgang, %" "35" "39" "65" "70"
## [263,] "Q10j_alternative_nyheter_oftere, %" "19" "24" "24" "39"
## [264,] "Q10k_mer_interessert_lokalmiljo, %" "25" "27" "31" "36"
## [265,] "Q10l_mer_familiepavirkning_medie, %" "12" "16" "24" "6"
## [266,] "Q10m_minde_tid_fordyping, %" "14" "5" "27" "9"
## [267,] "Q11_1_utenriksnyheter, %" "44" "85" "88" "76"
## [268,] "Q11_2_innenriksnyheter, %" "69" "96" "95" "94"
## [269,] "Q11_3_lokalnyheter_region_fylke, %" "65" "80" "59" "61"
## [270,] "Q11_4_lokalnyheter_by_kom, %" "77" "87" "73" "76"
## [271,] "Q11_5_nyheter_hjemkommune_hjemla, %" "28" "28" "34" "27"
## [272,] "Q11_6_ledere_kommentarer, %" "10" "36" "38" "73"
## [273,] "Q11_7_leserinnlegg_debatt_kronik, %" "20" "47" "50" "79"
## [274,] "Q11_8_portrettintervjuer, %" "11" "31" "53" "45"
## [275,] "Q11_9_politikk_andre_land, %" "6" "43" "53" "70"
## [276,] "Q11_10_nasjonal_politikk, %" "18" "67" "65" "76"
## [277,] "Q11_11_lokalpolitikk, %" "27" "71" "46" "82"
## [278,] "Q11_12_kriminalstoff, %" "31" "35" "43" "21"
## [279,] "Q11_13_neringslivstoff, %" "15" "51" "34" "52"
## [280,] "Q11_14_ingen_1_13, %" "0" "0" "0" "3"
## [281,] "Q11_15_vet_ikke_1_13, %" "1" "0" "0" "0"
## [282,] "Q11_16_sport, %" "37" "64" "31" "48"
## [283,] "Q11_17_sosialomsorg, %" "12" "25" "39" "36"
## [284,] "Q11_18_fattigdom_utviklingsland, %" "4" "17" "34" "27"
## [285,] "Q11_19_natur_miljovern, %" "20" "33" "55" "42"
## [286,] "Q11_20_kulturanmeldelser, %" "35" "33" "70" "39"
## [287,] "Q11_21_kjendiser_, %" "27" "27" "27" "18"
## [288,] "Q11_22_konge_kongehus, %" "12" "17" "20" "15"
## [289,] "Q11_23_livsstil_, %" "19" "23" "39" "27"
## [290,] "Q11_24_samliv_helse_relasjoner, %" "24" "38" "53" "45"
## [291,] "Q11_25_uteliv_trender, %" "14" "15" "26" "15"
## [292,] "Q11_26_okonomitips, %" "25" "46" "43" "36"
## [293,] "Q11_27_bil_motor, %" "31" "35" "7" "48"
## [294,] "Q11_28_data_ny_teknologi, %" "37" "34" "32" "48"
## [295,] "Q11_29_ingen_16_28, %" "6" "2" "3" "0"
## [296,] "Q11_30_vet_ikke_16_28, %" "3" "1" "3" "0"
## [297,] "Q13a_TVserie, %" "39" "44" "50" "33"
## [298,] "Q13b_film, %" "41" "51" "62" "61"
## [299,] "Q13c_teater_revy, %" "22" "39" "59" "61"
## [300,] "Q13d_kunst_utstilling, %" "12" "18" "36" "30"
## [301,] "Q13e_kunstnere_trad_norsk, %" "5" "11" "14" "21"
## [302,] "Q13f_kunstnere_samtid, %" "3" "9" "16" "18"
## [303,] "Q13g_litteratur_krim_spenning, %" "30" "43" "39" "33"
## [304,] "Q13h_litteratur_samtid, %" "2" "13" "32" "15"
## [305,] "Q13i_litteratur_biografier, %" "8" "32" "28" "36"
## [306,] "Q13j_musikk_folk, %" "2" "10" "11" "12"
## [307,] "Q13k_musikk_klassisk, %" "6" "17" "20" "15"
## [308,] "Q13l_musikk_hiphop, %" "4" "3" "26" "6"
## [309,] "Q13m_musikk_salsa_reggae, %" "4" "8" "8" "12"
## [310,] "Q13n_musikk_dansband, %" "7" "7" "1" "3"
## [311,] "Q13o_musikk_populer, %" "19" "23" "20" "18"
## [312,] "Q13p_ingen, %" "22" "13" "7" "12"
## [313,] "Q13q_vet_ikke, %" "7" "2" "3" "0"
## [314,] "Q14a_Adresseavisen, %" "8" "12" "8" "6"
## [315,] "Q14b_Aftenposten, %" "21" "34" "58" "58"
## [316,] "Q14c_BergensTidende, %" "8" "12" "16" "9"
## [317,] "Q14d_Dag_og_Tid, %" "0" "1" "1" "0"
## [318,] "Q14e_Dagbladet, %" "37" "44" "59" "39"
## [319,] "Q14f_Dagen, %" "2" "1" "0" "3"
## [320,] "Q14g_DagensNeringsliv, %" "11" "23" "12" "33"
## [321,] "Q14h_Dagsavisen, %" "4" "3" "4" "6"
## [322,] "Q14i_Fedrelandsvennen, %" "1" "1" "3" "6"
## [323,] "Q14j_Klassekampen, %" "4" "3" "15" "24"
## [324,] "Q14k_Morgenbladet, %" "1" "0" "8" "15"
## [325,] "Q14l_Nettavisen, %" "20" "26" "23" "24"
## [326,] "Q14m_Nationen, %" "0" "3" "0" "3"
## [327,] "Q14n_Nordlys, %" "4" "2" "7" "0"
## [328,] "Q14o_StavangerAftenblad, %" "7" "8" "5" "9"
## [329,] "Q14p_VG, %" "60" "69" "72" "55"
## [330,] "Q14q_VartLand, %" "1" "1" "3" "0"
## [331,] "Q14r_norske_aviser_annet, %" "50" "65" "31" "45"
## [332,] "Q14s_utenlandske_aviser, %" "3" "7" "12" "6"
## [333,] "Q14t_avis_ingen, %" "13" "5" "1" "0"
## [334,] "Q14u_avis_vet_ikke, %" "0" "0" "0" "3"
## [335,] "Q14v_nettside_NRK, %" "50" "61" "77" "70"
## [336,] "Q14w_nettside_P4, %" "7" "4" "4" "3"
## [337,] "Q14x_nettside_TV2, %" "39" "44" "45" "45"
## [338,] "Q14y_nettside_ABCnyheter, %" "12" "16" "11" "12"
## [339,] "Q14a_nettside_Sol_no, %" "15" "9" "9" "3"
## [340,] "Q14b_nettside_AlJazeeras, %" "0" "2" "1" "6"
## [341,] "Q14c_nettside_BBC, %" "6" "3" "15" "12"
## [342,] "Q14d_nettside_BuzzFeed, %" "0" "0" "7" "3"
## [343,] "Q14e_nettside_CNN, %" "1" "7" "7" "12"
## [344,] "Q14f_nettside_GoogleNews, %" "4" "5" "3" "9"
## [345,] "Q14g_nettside_TheGuardian, %" "4" "2" "14" "6"
## [346,] "Q14h_nettside_HuffingtonPost, %" "0" "3" "12" "6"
## [347,] "Q14i_nettside_NewYorkTimes_, %" "1" "4" "12" "6"
## [348,] "Q14j_nettside_ingen, %" "34" "25" "9" "15"
## [349,] "Q16a_LokalTV, %" "15" "26" "5" "18"
## [350,] "Q16b_NRK1, %" "82" "98" "73" "85"
## [351,] "Q16c_NRK2, %" "44" "67" "36" "52"
## [352,] "Q16d_NRK3, %" "26" "27" "16" "12"
## [353,] "Q16e_NRKSuper, %" "23" "11" "18" "6"
## [354,] "Q16f_NRK_NettTV, %" "25" "13" "39" "39"
## [355,] "Q16g_TV2, %" "77" "91" "68" "67"
## [356,] "Q16h_TV2_Zebra, %" "29" "28" "7" "18"
## [357,] "Q16i_TV_2_Nyhetskanalen, %" "27" "51" "20" "33"
## [358,] "Q16j_TV_2_Humor, %" "11" "5" "8" "12"
## [359,] "Q16k_TV_2_Livsstil, %" "12" "9" "4" "6"
## [360,] "Q16l_TV_2_Sport, %" "14" "25" "5" "30"
## [361,] "Q16m_TV_2_Sumo, %" "18" "11" "20" "18"
## [362,] "Q16n_TVNorge, %" "66" "67" "43" "42"
## [363,] "Q16o_FEM, %" "23" "21" "15" "12"
## [364,] "Q16p_Max, %" "35" "38" "15" "30"
## [365,] "Q16q_TV3, %" "42" "34" "23" "27"
## [366,] "Q16r_Viasat4, %" "27" "22" "16" "30"
## [367,] "Q16s_Vox, %" "13" "15" "11" "12"
## [368,] "Q16t_ingen, %" "4" "0" "4" "6"
## [369,] "Q16u_vet_ikke, %" "0" "0" "0" "0"
## [370,] "Q17a_Youtube, %" "57" "37" "69" "52"
## [371,] "Q17b_Strommetjenester, %" "48" "33" "73" "42"
## [372,] "Q17c_Svenske_tv_kanaler, %" "10" "17" "9" "24"
## [373,] "Q17d_Danske_tv_kanaler, %" "7" "6" "5" "12"
## [374,] "Q17e_Eurosport, %" "15" "28" "4" "24"
## [375,] "Q17f_sportskanaler_andre, %" "9" "17" "4" "15"
## [376,] "Q17g_MTV, %" "4" "1" "0" "3"
## [377,] "Q17h_Discovery_Channel, %" "23" "17" "15" "30"
## [378,] "Q17i_Animal_Planet, %" "11" "10" "4" "9"
## [379,] "Q17j_TravelChannel, %" "3" "5" "1" "15"
## [380,] "Q17k_National_Geographic_Channel, %" "19" "22" "8" "30"
## [381,] "Q17l_BBC_World_News, %" "6" "11" "3" "18"
## [382,] "Q17m_CNN, %" "4" "11" "4" "18"
## [383,] "Q17n_TCM, %" "0" "1" "3" "3"
## [384,] "Q17o_ingen, %" "14" "21" "5" "9"
## [385,] "Q17p_vet_ikke, %" "1" "0" "0" "0"
## [386,] "Q18a_NRK_P1, %" "38" "61" "35" "55"
## [387,] "Q18b_NRK_P2, %" "6" "17" "15" "30"
## [388,] "Q18c_NRK_P3, %" "10" "13" "23" "9"
## [389,] "Q18d_NRK_P13, %" "7" "13" "7" "12"
## [390,] "Q18e_NRK_Alltid_Nyheter, %" "1" "14" "16" "18"
## [391,] "Q18f_NRK_Alltid_Klassisk, %" "4" "5" "4" "6"
## [392,] "Q18g_Nerradiosendinger_ikke_NRK, %" "6" "8" "4" "3"
## [393,] "Q18h_Radio_P4, %" "34" "34" "30" "27"
## [394,] "Q18i_Radio_Norge, %" "21" "20" "12" "15"
## [395,] "Q18j_norske_radiokanaler_annet, %" "37" "29" "31" "30"
## [396,] "Q18k_utenlandske_radiokanaler, %" "3" "3" "3" "3"
## [397,] "Q18l_ingen, %" "7" "5" "15" "9"
## [398,] "Q18m_vet_ikke, %" "1" "1" "0" "0"
## [399,] "Q19viktigste_nyhetskilde, %" "" "" "" ""
## [400,] " Nyhetsprogrammer eller sendinger på TV" "25" "35" "16" "33"
## [401,] " Nyhetssendinger eller -programmer på radio" "11" "7" "4" "6"
## [402,] " Papiraviser" "3" "8" "8" "9"
## [403,] " Nettaviser/apper/e-aviser: betalt" "9" "11" "15" "12"
## [404,] " Nettaviser/apper/e-aviser: gratis" "40" "29" "49" "30"
## [405,] " Sosiale medier som Facebook, Twitter, Snapchat" "10" "5" "5" "6"
## [406,] " Snakke med folk" "1" "5" "1" "3"
## [407,] " Andre kilder" "0" "1" "1" "0"
## [408,] " Følger ikke nyheter" "0" "0" "0" "0"
## [409,] " Vet ikke" "0" "0" "0" "0"
## [410,] "Q21a_gudstjeneste_religiost, %" "" "" "" ""
## [411,] " 10 eller flere ganger" "3" "3" "11" "3"
## [412,] " 4-9 ganger" "5" "4" "8" "9"
## [413,] " 1-3 ganger" "21" "27" "24" "15"
## [414,] " Sjeldnere" "21" "22" "8" "24"
## [415,] " Aldri" "50" "44" "49" "48"
## [416,] " Vet ikke" "0" "0" "0" "0"
## [417,] "Q21b_kino, %" "" "" "" ""
## [418,] " 10 eller flere ganger" "1" "1" "3" "9"
## [419,] " 4-9 ganger" "7" "8" "35" "21"
## [420,] " 1-3 ganger" "33" "43" "43" "39"
## [421,] " Sjeldnere" "29" "27" "12" "18"
## [422,] " Aldri" "31" "21" "7" "12"
## [423,] " Vet ikke" "0" "0" "0" "0"
## [424,] "Q21c_museum, %" "" "" "" ""
## [425,] " 10 eller flere ganger" "3" "0" "0" "0"
## [426,] " 4-9 ganger" "1" "5" "12" "21"
## [427,] " 1-3 ganger" "22" "32" "47" "36"
## [428,] " Sjeldnere" "26" "35" "16" "30"
## [429,] " Aldri" "48" "27" "24" "12"
## [430,] " Vet ikke" "0" "0" "0" "0"
## [431,] "Q21d_kunstutstilling, %" "" "" "" ""
## [432,] " 10 eller flere ganger" "1" "1" "0" "3"
## [433,] " 4-9 ganger" "2" "3" "9" "12"
## [434,] " 1-3 ganger" "17" "25" "39" "36"
## [435,] " Sjeldnere" "19" "36" "18" "33"
## [436,] " Aldri" "62" "36" "34" "15"
## [437,] " Vet ikke" "0" "0" "0" "0"
## [438,] "Q21e_teater_, %" "" "" "" ""
## [439,] " 10 eller flere ganger" "1" "0" "1" "0"
## [440,] " 4-9 ganger" "0" "4" "8" "18"
## [441,] " 1-3 ganger" "19" "34" "55" "33"
## [442,] " Sjeldnere" "23" "27" "11" "24"
## [443,] " Aldri" "57" "35" "24" "24"
## [444,] " Vet ikke" "0" "0" "0" "0"
## [445,] "Q21f_revy_standup, %" "" "" "" ""
## [446,] " 10 eller flere ganger" "1" "0" "0" "0"
## [447,] " 4-9 ganger" "1" "1" "1" "0"
## [448,] " 1-3 ganger" "22" "27" "39" "36"
## [449,] " Sjeldnere" "21" "41" "20" "36"
## [450,] " Aldri" "54" "31" "39" "27"
## [451,] " Vet ikke" "0" "0" "0" "0"
## [452,] "Q21g_konsert_klassisk, %" "" "" "" ""
## [453,] " 10 eller flere ganger" "1" "0" "0" "0"
## [454,] " 4-9 ganger" "0" "1" "1" "12"
## [455,] " 1-3 ganger" "7" "10" "19" "24"
## [456,] " Sjeldnere" "15" "34" "28" "33"
## [457,] " Aldri" "78" "55" "51" "30"
## [458,] " Vet ikke" "0" "0" "0" "0"
## [459,] "Q21h_konsert_annen, %" "" "" "" ""
## [460,] " 10 eller flere ganger" "3" "1" "1" "6"
## [461,] " 4-9 ganger" "3" "7" "12" "15"
## [462,] " 1-3 ganger" "32" "37" "47" "30"
## [463,] " Sjeldnere" "13" "25" "15" "30"
## [464,] " Aldri" "50" "31" "24" "18"
## [465,] " Vet ikke" "0" "0" "0" "0"
## [466,] "Q21i_festival_kunst_kultur, %" "" "" "" ""
## [467,] " 10 eller flere ganger" "1" "0" "0" "3"
## [468,] " 4-9 ganger" "1" "0" "5" "3"
## [469,] " 1-3 ganger" "14" "11" "23" "36"
## [470,] " Sjeldnere" "18" "33" "22" "33"
## [471,] " Aldri" "66" "56" "50" "24"
## [472,] " Vet ikke" "0" "0" "0" "0"
## [473,] "Q21j_kulturarrangement_annet, %" "" "" "" ""
## [474,] " 10 eller flere ganger" "1" "0" "1" "0"
## [475,] " 4-9 ganger" "0" "1" "7" "6"
## [476,] " 1-3 ganger" "7" "15" "27" "36"
## [477,] " Sjeldnere" "24" "29" "20" "39"
## [478,] " Aldri" "68" "55" "45" "18"
## [479,] " Vet ikke" "0" "0" "0" "0"
## [480,] "Q21k_idrettsarrangement, %" "" "" "" ""
## [481,] " 10 eller flere ganger" "8" "18" "4" "21"
## [482,] " 4-9 ganger" "6" "10" "11" "15"
## [483,] " 1-3 ganger" "22" "17" "31" "27"
## [484,] " Sjeldnere" "20" "24" "19" "18"
## [485,] " Aldri" "44" "31" "35" "18"
## [486,] " Vet ikke" "0" "0" "0" "0"
## [487,] "Q21l_bibliotek, %" "" "" "" ""
## [488,] " 10 eller flere ganger" "17" "13" "19" "15"
## [489,] " 4-9 ganger" "4" "9" "16" "21"
## [490,] " 1-3 ganger" "19" "23" "23" "30"
## [491,] " Sjeldnere" "16" "27" "20" "24"
## [492,] " Aldri" "45" "28" "22" "9"
## [493,] " Vet ikke" "0" "0" "0" "0"
## [494,] "Q21m_messe, %" "" "" "" ""
## [495,] " 10 eller flere ganger" "1" "1" "0" "3"
## [496,] " 4-9 ganger" "0" "1" "0" "12"
## [497,] " 1-3 ganger" "25" "29" "32" "30"
## [498,] " Sjeldnere" "33" "32" "26" "33"
## [499,] " Aldri" "41" "37" "42" "21"
## [500,] " Vet ikke" "0" "0" "0" "0"
## [501,] "Q21n_chartertur, %" "" "" "" ""
## [502,] " 10 eller flere ganger" "1" "0" "0" "0"
## [503,] " 4-9 ganger" "0" "1" "1" "3"
## [504,] " 1-3 ganger" "29" "39" "16" "27"
## [505,] " Sjeldnere" "20" "25" "19" "24"
## [506,] " Aldri" "50" "35" "64" "45"
## [507,] " Vet ikke" "0" "0" "0" "0"
## [508,] "Q21o_reise, %" "" "" "" ""
## [509,] " 10 eller flere ganger" "3" "1" "1" "9"
## [510,] " 4-9 ganger" "3" "16" "12" "18"
## [511,] " 1-3 ganger" "50" "51" "66" "52"
## [512,] " Sjeldnere" "11" "13" "4" "12"
## [513,] " Aldri" "34" "19" "16" "9"
## [514,] " Vet ikke" "0" "0" "0" "0"
## [515,] "Q21p_dugnad, %" "" "" "" ""
## [516,] " 10 eller flere ganger" "7" "4" "3" "12"
## [517,] " 4-9 ganger" "3" "10" "11" "21"
## [518,] " 1-3 ganger" "32" "44" "38" "39"
## [519,] " Sjeldnere" "18" "15" "19" "21"
## [520,] " Aldri" "40" "27" "30" "6"
## [521,] " Vet ikke" "0" "0" "0" "0"
## [522,] "Q22a_Dagsreveyen, %" "" "" "" ""
## [523,] " Har ikke sett" "3" "0" "0" "0"
## [524,] " Liker godt" "64" "89" "76" "76"
## [525,] " Verken liker eller misliker" "28" "10" "24" "21"
## [526,] " Liker ikke" "5" "1" "0" "3"
## [527,] "Q22b_Distriksnyheter, %" "" "" "" ""
## [528,] " Har ikke sett" "3" "2" "5" "3"
## [529,] " Liker godt" "66" "75" "51" "67"
## [530,] " Verken liker eller misliker" "25" "21" "38" "30"
## [531,] " Liker ikke" "6" "1" "5" "0"
## [532,] "Q22c_Dagsnytt_18, %" "" "" "" ""
## [533,] " Har ikke sett" "21" "18" "18" "15"
## [534,] " Liker godt" "25" "41" "42" "64"
## [535,] " Verken liker eller misliker" "46" "41" "32" "21"
## [536,] " Liker ikke" "7" "1" "8" "0"
## [537,] "Q22d_Debatten_NRK, %" "" "" "" ""
## [538,] " Har ikke sett" "22" "9" "16" "9"
## [539,] " Liker godt" "17" "37" "36" "64"
## [540,] " Verken liker eller misliker" "39" "45" "34" "21"
## [541,] " Liker ikke" "21" "9" "14" "6"
## [542,] "Q22e_TV2nyhetene, %" "" "" "" ""
## [543,] " Har ikke sett" "2" "3" "3" "9"
## [544,] " Liker godt" "69" "73" "55" "61"
## [545,] " Verken liker eller misliker" "22" "21" "28" "30"
## [546,] " Liker ikke" "7" "3" "14" "0"
## [547,] "Q22f_Urix, %" "" "" "" ""
## [548,] " Har ikke sett" "24" "11" "19" "0"
## [549,] " Liker godt" "18" "49" "46" "67"
## [550,] " Verken liker eller misliker" "48" "37" "32" "33"
## [551,] " Liker ikke" "10" "3" "3" "0"
## [552,] "Q22g_Brennpunkt, %" "" "" "" ""
## [553,] " Har ikke sett" "8" "5" "14" "6"
## [554,] " Liker godt" "43" "62" "59" "67"
## [555,] " Verken liker eller misliker" "43" "29" "26" "24"
## [556,] " Liker ikke" "6" "3" "1" "3"
## [557,] "Q22h_Nytt_pa_Nytt, %" "" "" "" ""
## [558,] " Har ikke sett" "5" "5" "4" "3"
## [559,] " Liker godt" "62" "64" "69" "70"
## [560,] " Verken liker eller misliker" "20" "25" "15" "15"
## [561,] " Liker ikke" "14" "7" "12" "12"
## [562,] "Q22i_Lindmo, %" "" "" "" ""
## [563,] " Har ikke sett" "14" "5" "9" "12"
## [564,] " Liker godt" "40" "51" "49" "48"
## [565,] " Verken liker eller misliker" "36" "35" "38" "24"
## [566,] " Liker ikke" "9" "9" "4" "15"
## [567,] "Q22j_Skavlan, %" "" "" "" ""
## [568,] " Har ikke sett" "7" "3" "7" "6"
## [569,] " Liker godt" "35" "47" "31" "39"
## [570,] " Verken liker eller misliker" "29" "33" "43" "30"
## [571,] " Liker ikke" "30" "17" "19" "24"
## [572,] "Q22k_Folkeopplysningen, %" "" "" "" ""
## [573,] " Har ikke sett" "32" "34" "45" "27"
## [574,] " Liker godt" "21" "24" "34" "30"
## [575,] " Verken liker eller misliker" "37" "36" "20" "39"
## [576,] " Liker ikke" "9" "6" "1" "3"
## [577,] "Q22l_Trygdekontoret, %" "" "" "" ""
## [578,] " Har ikke sett" "29" "26" "41" "21"
## [579,] " Liker godt" "17" "19" "23" "27"
## [580,] " Verken liker eller misliker" "34" "42" "27" "36"
## [581,] " Liker ikke" "21" "13" "9" "15"
## [582,] "Q22m_Stjernekamp, %" "" "" "" ""
## [583,] " Har ikke sett" "24" "17" "32" "27"
## [584,] " Liker godt" "38" "55" "28" "36"
## [585,] " Verken liker eller misliker" "22" "20" "28" "30"
## [586,] " Liker ikke" "15" "8" "11" "6"
## [587,] "Q22n_Farmen, %" "" "" "" ""
## [588,] " Har ikke sett" "14" "20" "34" "27"
## [589,] " Liker godt" "47" "39" "18" "24"
## [590,] " Verken liker eller misliker" "19" "25" "26" "27"
## [591,] " Liker ikke" "21" "16" "23" "21"
## [592,] "Q22o_Paradise_Hotel, %" "" "" "" ""
## [593,] " Har ikke sett" "24" "35" "35" "30"
## [594,] " Liker godt" "4" "2" "8" "9"
## [595,] " Verken liker eller misliker" "21" "9" "9" "0"
## [596,] " Liker ikke" "51" "54" "47" "61"
## [597,] "Q22p_Senkveld, %" "" "" "" ""
## [598,] " Har ikke sett" "10" "12" "20" "15"
## [599,] " Liker godt" "37" "35" "24" "27"
## [600,] " Verken liker eller misliker" "36" "39" "32" "39"
## [601,] " Liker ikke" "16" "13" "23" "18"
## [602,] "Q22q_Luksusfellen, %" "" "" "" ""
## [603,] " Har ikke sett" "17" "23" "20" "18"
## [604,] " Liker godt" "26" "19" "24" "21"
## [605,] " Verken liker eller misliker" "36" "42" "31" "24"
## [606,] " Liker ikke" "21" "15" "24" "36"
## [607,] "Q22r_andenes_makt, %" "" "" "" ""
## [608,] " Har ikke sett" "17" "27" "24" "18"
## [609,] " Liker godt" "27" "13" "18" "9"
## [610,] " Verken liker eller misliker" "21" "27" "14" "33"
## [611,] " Liker ikke" "36" "33" "45" "39"
## [612,] "Q22s_Ut_i_naturen, %" "" "" "" ""
## [613,] " Har ikke sett" "17" "10" "30" "18"
## [614,] " Liker godt" "43" "58" "41" "58"
## [615,] " Verken liker eller misliker" "35" "32" "23" "18"
## [616,] " Liker ikke" "6" "0" "7" "6"
## [617,] "Q22t_Fodeavdelingen, %" "" "" "" ""
## [618,] " Har ikke sett" "37" "51" "43" "48"
## [619,] " Liker godt" "10" "3" "11" "9"
## [620,] " Verken liker eller misliker" "26" "29" "19" "27"
## [621,] " Liker ikke" "26" "17" "27" "15"
## [622,] "Q22u_Deringenskulle, %" "" "" "" ""
## [623,] " Har ikke sett" "13" "9" "24" "9"
## [624,] " Liker godt" "54" "66" "43" "70"
## [625,] " Verken liker eller misliker" "29" "24" "22" "21"
## [626,] " Liker ikke" "4" "1" "11" "0"
## [627,] "Q22v_Tid_for_hjem, %" "" "" "" ""
## [628,] " Har ikke sett" "19" "19" "27" "24"
## [629,] " Liker godt" "40" "46" "31" "27"
## [630,] " Verken liker eller misliker" "27" "30" "31" "42"
## [631,] " Liker ikke" "14" "5" "11" "6"
## [632,] "Q22w_God_morgen_Norge, %" "" "" "" ""
## [633,] " Har ikke sett" "26" "34" "36" "33"
## [634,] " Liker godt" "33" "30" "23" "24"
## [635,] " Verken liker eller misliker" "27" "29" "26" "36"
## [636,] " Liker ikke" "14" "7" "15" "6"
## [637,] "Q22x_Brille, %" "" "" "" ""
## [638,] " Har ikke sett" "28" "21" "26" "24"
## [639,] " Liker godt" "39" "39" "46" "45"
## [640,] " Verken liker eller misliker" "18" "27" "19" "15"
## [641,] " Liker ikke" "15" "13" "9" "15"
## [642,] "Q22y_Top_Gear, %" "" "" "" ""
## [643,] " Har ikke sett" "24" "33" "30" "21"
## [644,] " Liker godt" "39" "25" "23" "45"
## [645,] " Verken liker eller misliker" "21" "23" "24" "15"
## [646,] " Liker ikke" "16" "19" "23" "18"yvars<-colnames(dplyr::select(mecin, Q25a_Game_of_Thrones:Q27f_avansert_fortellerteknikk))
t<-tabmulti(data=mecin, xvarname=xvar, yvarnames = yvars, p.include = FALSE, decimals=0, compress=TRUE, freq.parenth = "none", cell="col.percent", overall.column = FALSE)
t## Variable 1låg (n = 441) 2midtrad (n = 481) 3midung (n = 361) 4hog (n = 151)
## [1,] "Q25a_Game_of_Thrones, %" "" "" "" ""
## [2,] " Har ikke sett" "56" "63" "41" "55"
## [3,] " Liker godt" "26" "15" "43" "25"
## [4,] " Verken liker eller misliker" "9" "11" "9" "11"
## [5,] " Liker ikke" "9" "11" "6" "9"
## [6,] "Q25b_Side_om_side, %" "" "" "" ""
## [7,] " Har ikke sett" "36" "30" "22" "28"
## [8,] " Liker godt" "39" "36" "52" "42"
## [9,] " Verken liker eller misliker" "17" "23" "18" "21"
## [10,] " Liker ikke" "8" "11" "9" "9"
## [11,] "Q25c_Skam, %" "" "" "" ""
## [12,] " Har ikke sett" "55" "62" "37" "50"
## [13,] " Liker godt" "26" "12" "48" "24"
## [14,] " Verken liker eller misliker" "13" "19" "11" "15"
## [15,] " Liker ikke" "7" "8" "3" "11"
## [16,] "Q25d_The_Wire, %" "" "" "" ""
## [17,] " Har ikke sett" "78" "77" "74" "70"
## [18,] " Liker godt" "6" "5" "14" "14"
## [19,] " Verken liker eller misliker" "9" "10" "8" "9"
## [20,] " Liker ikke" "7" "8" "4" "7"
## [21,] "Q25e_Modern_Family, %" "" "" "" ""
## [22,] " Har ikke sett" "55" "68" "39" "58"
## [23,] " Liker godt" "23" "9" "37" "24"
## [24,] " Verken liker eller misliker" "13" "12" "18" "11"
## [25,] " Liker ikke" "9" "10" "6" "7"
## [26,] "Q25f_The_Leftovers, %" "" "" "" ""
## [27,] " Har ikke sett" "83" "84" "84" "80"
## [28,] " Liker godt" "4" "1" "5" "4"
## [29,] " Verken liker eller misliker" "8" "7" "8" "9"
## [30,] " Liker ikke" "5" "7" "4" "7"
## [31,] "Q25g_The_Crown, %" "" "" "" ""
## [32,] " Har ikke sett" "79" "77" "69" "75"
## [33,] " Liker godt" "7" "9" "23" "12"
## [34,] " Verken liker eller misliker" "8" "8" "6" "9"
## [35,] " Liker ikke" "5" "6" "2" "3"
## [36,] "Q25h_Criminal_Minds, %" "" "" "" ""
## [37,] " Har ikke sett" "41" "41" "47" "47"
## [38,] " Liker godt" "32" "23" "23" "34"
## [39,] " Verken liker eller misliker" "20" "26" "22" "15"
## [40,] " Liker ikke" "7" "9" "8" "5"
## [41,] "Q25i_Nobel, %" "" "" "" ""
## [42,] " Har ikke sett" "64" "54" "52" "52"
## [43,] " Liker godt" "22" "25" "32" "30"
## [44,] " Verken liker eller misliker" "10" "16" "14" "12"
## [45,] " Liker ikke" "4" "5" "2" "6"
## [46,] "Q25j_Vikings, %" "" "" "" ""
## [47,] " Har ikke sett" "58" "48" "57" "49"
## [48,] " Liker godt" "21" "23" "25" "30"
## [49,] " Verken liker eller misliker" "13" "20" "12" "12"
## [50,] " Liker ikke" "8" "8" "6" "9"
## [51,] "Q25k_Greys_Anatomy, %" "" "" "" ""
## [52,] " Har ikke sett" "39" "46" "33" "43"
## [53,] " Liker godt" "24" "14" "24" "15"
## [54,] " Verken liker eller misliker" "24" "26" "24" "32"
## [55,] " Liker ikke" "13" "15" "20" "10"
## [56,] "Q25l_House_of_Cards, %" "" "" "" ""
## [57,] " Har ikke sett" "71" "70" "50" "56"
## [58,] " Liker godt" "12" "12" "31" "28"
## [59,] " Verken liker eller misliker" "12" "11" "14" "11"
## [60,] " Liker ikke" "5" "7" "5" "5"
## [61,] "Q25m_Kampen_om_tungtvannet, %" "" "" "" ""
## [62,] " Har ikke sett" "51" "33" "47" "32"
## [63,] " Liker godt" "34" "52" "46" "52"
## [64,] " Verken liker eller misliker" "13" "13" "6" "13"
## [65,] " Liker ikke" "2" "1" "1" "3"
## [66,] "Q25n_Downton_Abbey, %" "" "" "" ""
## [67,] " Har ikke sett" "62" "41" "53" "44"
## [68,] " Liker godt" "20" "39" "32" "33"
## [69,] " Verken liker eller misliker" "12" "14" "11" "13"
## [70,] " Liker ikke" "6" "6" "4" "10"
## [71,] "Q25o_Narcos, %" "" "" "" ""
## [72,] " Har ikke sett" "72" "77" "67" "72"
## [73,] " Liker godt" "16" "10" "22" "19"
## [74,] " Verken liker eller misliker" "7" "10" "6" "5"
## [75,] " Liker ikke" "5" "4" "5" "4"
## [76,] "Q25p_Broen, %" "" "" "" ""
## [77,] " Har ikke sett" "56" "36" "44" "40"
## [78,] " Liker godt" "31" "51" "48" "48"
## [79,] " Verken liker eller misliker" "11" "10" "8" "11"
## [80,] " Liker ikke" "2" "3" "1" "1"
## [81,] "Q25q_Medhjartetrette, %" "" "" "" ""
## [82,] " Har ikke sett" "34" "21" "33" "23"
## [83,] " Liker godt" "34" "41" "24" "45"
## [84,] " Verken liker eller misliker" "23" "29" "29" "25"
## [85,] " Liker ikke" "9" "9" "14" "8"
## [86,] "Q25r_Big_Bang_Theory, %" "" "" "" ""
## [87,] " Har ikke sett" "33" "49" "24" "44"
## [88,] " Liker godt" "41" "26" "42" "27"
## [89,] " Verken liker eller misliker" "16" "16" "22" "19"
## [90,] " Liker ikke" "10" "10" "12" "9"
## [91,] "Q27a_diskutere, %" "" "" "" ""
## [92,] " Manglar" "0" "1" "0" "0"
## [93,] " Passer delvis" "52" "52" "51" "44"
## [94,] " Passer helt" "11" "8" "27" "21"
## [95,] " Passer ikke" "36" "38" "22" "33"
## [96,] " Vet ikke" "1" "1" "0" "2"
## [97,] "Q27b_bare_underholdning, %" "" "" "" ""
## [98,] " Manglar" "0" "0" "0" "0"
## [99,] " Passer delvis" "37" "41" "52" "46"
## [100,] " Passer helt" "58" "52" "40" "46"
## [101,] " Passer ikke" "4" "4" "7" "7"
## [102,] " Vet ikke" "1" "4" "2" "1"
## [103,] "Q27c_urettferdig_problematisk, %" "" "" "" ""
## [104,] " Manglar" "0" "0" "0" "0"
## [105,] " Passer delvis" "44" "53" "50" "45"
## [106,] " Passer helt" "14" "20" "33" "33"
## [107,] " Passer ikke" "26" "19" "13" "17"
## [108,] " Vet ikke" "16" "8" "4" "5"
## [109,] "Q27d_vere_menneske, %" "" "" "" ""
## [110,] " Manglar" "0" "0" "0" "0"
## [111,] " Passer delvis" "45" "51" "46" "50"
## [112,] " Passer helt" "22" "25" "43" "36"
## [113,] " Passer ikke" "23" "16" "8" "11"
## [114,] " Vet ikke" "11" "8" "3" "3"
## [115,] "Q27e_historiske_hendelser, %" "" "" "" ""
## [116,] " Manglar" "0" "0" "0" "0"
## [117,] " Passer delvis" "49" "43" "43" "35"
## [118,] " Passer helt" "29" "50" "46" "59"
## [119,] " Passer ikke" "18" "5" "9" "5"
## [120,] " Vet ikke" "4" "2" "2" "1"
## [121,] "Q27f_avansert_fortellerteknikk, %" "" "" "" ""
## [122,] " Manglar" "0" "0" "0" "0"
## [123,] " Passer delvis" "37" "44" "40" "49"
## [124,] " Passer helt" "14" "19" "38" "34"
## [125,] " Passer ikke" "34" "25" "16" "11"
## [126,] " Vet ikke" "15" "12" "6" "7"yvars<-colnames(dplyr::select(mecin, Q29kommune_ar, Q30_utdanning: Q42_verdi_bolig, livsopph,komsentr, antpers, harborn, stdgeo, stdalder, alderkjonn, r53ant, ralder10))
t<-tabmulti(data=mecin, xvarname=xvar, yvarnames = yvars, p.include = FALSE, decimals=0, compress=TRUE, freq.parenth = "none", cell="col.percent", overall.column = FALSE)
t## Variable 1låg (n = 126) 2midtrad (n = 115) 3midung (n = 119) 4hog (n = 30)
## [1,] "Q29kommune_ar, M (SD)" "26 (17)" "31 (18)" "20 (15)" "29 (20)"
## [2,] "Q30_utdanning, %" "" "" "" ""
## [3,] " Folkeskolenivå (Inntil 8 års skolegang)" "0" "1" "0" "0"
## [4,] " Ungdomsskole/realskolenivå (9-10 a°rs skolegang)" "9" "4" "0" "0"
## [5,] " Videregående skole/gymnasnivå (11-13 års skolegang) \t\t" "57" "45" "9" "43"
## [6,] " Universitet/ høyskole, lavere grad (Bachelor, Cand.mag/ høy" "26" "37" "54" "27"
## [7,] " Universitet/ høyskole, høyere grad (Master, Hovedfag, høysk" "6" "11" "37" "27"
## [8,] " Usikker / vil ikke oppgi" "2" "1" "0" "3"
## [9,] "Q31_fag, %" "" "" "" ""
## [10,] " Annet" "15" "10" "7" "3"
## [11,] " Håndverksfag" "18" "8" "3" "0"
## [12,] " Helse-, sosial- og omsorgsfag" "12" "6" "26" "20"
## [13,] " Humaniora" "1" "2" "11" "7"
## [14,] " Ingen spesiell fagorientering" "11" "3" "1" "3"
## [15,] " Ingeniørfag eller andre teknologiske fag" "13" "28" "12" "13"
## [16,] " Jus" "0" "1" "1" "3"
## [17,] " Kultur" "2" "2" "4" "0"
## [18,] " Manglar" "10" "6" "0" "3"
## [19,] " Naturvitenskap" "1" "3" "3" "0"
## [20,] " Økonomi og administrasjon" "6" "26" "18" "20"
## [21,] " Psykologi" "0" "0" "2" "3"
## [22,] " Realfag" "4" "3" "4" "7"
## [23,] " Samfunnsvitenskap" "2" "1" "8" "17"
## [24,] " Sikkerhetsfag (millitærutdanning, politi o.l.)" "4" "2" "1" "0"
## [25,] " Vet ikke" "2" "0" "0" "0"
## [26,] "Q32_stilling, %" "" "" "" ""
## [27,] " Arbeider/operatør, ufaglært" "17" "8" "3" "3"
## [28,] " Arbeider/operatør, faglært" "29" "17" "24" "17"
## [29,] " Toppleder/ Daglig leder" "1" "7" "5" "7"
## [30,] " Funksjonær, ledende stilling ellers" "10" "22" "20" "27"
## [31,] " Funksjonær ellers" "17" "30" "24" "13"
## [32,] " Selvstendig" "6" "11" "3" "17"
## [33,] " Elev/Student/Lærling" "0" "0" "0" "0"
## [34,] " For tiden arbeidsløs" "0" "0" "0" "0"
## [35,] " Alderspensjonist" "0" "0" "0" "0"
## [36,] " Trygdet" "0" "0" "0" "0"
## [37,] " Gift uten eget betalt arbeid" "0" "0" "0" "0"
## [38,] " Annet \t" "0" "0" "0" "0"
## [39,] " Annet inntektsgivende arbeid" "19" "5" "20" "17"
## [40,] "Q33_lederansvar, %" "" "" "" ""
## [41,] " Nei" "77" "70" "65" "57"
## [42,] " Ja, 1-9 personer" "21" "22" "24" "33"
## [43,] " Ja, 10 personer eller mer" "2" "9" "11" "10"
## [44,] "Q34_bransje, %" "" "" "" ""
## [45,] " Annen bransje" "17" "16" "16" "10"
## [46,] " Annen forretningsmessig tjenesteyting" "10" "12" "13" "3"
## [47,] " Bank/Forsikring/Finans" "1" "7" "1" "7"
## [48,] " Bygg og anlegg" "8" "8" "4" "3"
## [49,] " Fiske / fangst" "1" "3" "0" "0"
## [50,] " Helsevesen/Sosialomsorg" "13" "10" "21" "27"
## [51,] " Industri/Bergverk/ Olje" "10" "13" "5" "3"
## [52,] " Interesseorganisasjon/ Frivillig organisasjon" "2" "3" "1" "17"
## [53,] " Jordbruk/Skogbruk" "1" "3" "0" "0"
## [54,] " Manglar" "1" "0" "2" "0"
## [55,] " Offentlig administrasjon/Forsvar/ Politi/ Rettsvesen" "10" "8" "11" "10"
## [56,] " Reiseliv/ hotell/ restaurant/ servering" "2" "3" "1" "3"
## [57,] " Samferdsel/Transport/Post/ Tele" "6" "5" "2" "3"
## [58,] " Undervisning/Forskning" "7" "5" "22" "3"
## [59,] " Varehandel/Butikk" "13" "3" "3" "10"
## [60,] "Q35_offentlig_privat, %" "" "" "" ""
## [61,] " Annet" "0" "3" "0" "0"
## [62,] " Manglar" "0" "0" "0" "0"
## [63,] " Offentlig, kommune" "17" "9" "25" "27"
## [64,] " Offentlig, stat eller fylke" "14" "17" "28" "10"
## [65,] " Privat" "68" "71" "47" "63"
## [66,] "Q38_arbeid_antall_timer, %" "" "" "" ""
## [67,] " 1-19 timer pr uke" "10" "8" "3" "7"
## [68,] " 20-35 timer pr uke" "20" "12" "12" "20"
## [69,] " 36-40 timer pr uke" "47" "51" "50" "50"
## [70,] " 41-50 timer pr uke" "17" "21" "29" "23"
## [71,] " Mer enn 50 timer pr uke" "6" "8" "7" "0"
## [72,] "Q39a_barn_nye, %" "21" "5" "14" "10"
## [73,] "Q39b_barn_flyttet_ut, %" "13" "20" "15" "27"
## [74,] "Q39c_samboer_blitt, %" "17" "7" "17" "17"
## [75,] "Q39a_samboer_slutt, %" "10" "11" "13" "10"
## [76,] "Q39b_bedre_rad, %" "25" "25" "28" "30"
## [77,] "Q39c_darligere_rad, %" "16" "8" "13" "23"
## [78,] "Q39d_studier, %" "15" "8" "29" "13"
## [79,] "Q39e_sykdom, %" "21" "17" "29" "23"
## [80,] "Q39f_jobbytte, %" "29" "17" "39" "50"
## [81,] "Q39g_bodd_utlandet, %" "3" "3" "8" "3"
## [82,] "Q39h_flyttet, %" "25" "14" "30" "17"
## [83,] "Q39i_pensjon, %" "0" "0" "1" "3"
## [84,] "Q39j_ingen, %" "18" "33" "14" "10"
## [85,] "Q40_inntekt, %" "" "" "" ""
## [86,] " Inntil kr. 100.000" "2" "0" "0" "0"
## [87,] " Kr. 100.-199.000" "2" "1" "1" "0"
## [88,] " Kr. 200.-299.000" "4" "3" "3" "3"
## [89,] " Kr. 300.-399.000" "16" "10" "5" "17"
## [90,] " Kr. 400.-499.000" "25" "15" "28" "30"
## [91,] " Kr. 500.-599.000" "16" "17" "27" "10"
## [92,] " Kr. 600.-799.000" "13" "23" "18" "27"
## [93,] " Kr. 800.-999.000" "6" "12" "9" "7"
## [94,] " Kr. 1 mill.-1.2 mill" "2" "6" "3" "0"
## [95,] " Kr. 1.3 mill.-1.4 mill" "0" "3" "2" "0"
## [96,] " Kr. 1.5 mill. eller mer" "0" "1" "0" "3"
## [97,] " Ønsker ikke å oppgi" "10" "7" "3" "3"
## [98,] " Vet ikke" "3" "1" "1" "0"
## [99,] "Q41_penger_bank, %" "" "" "" ""
## [100,] " Ingenting" "8" "0" "2" "3"
## [101,] " Inntil kr 10.000" "14" "9" "9" "7"
## [102,] " Kr 10.000-49.999" "11" "15" "25" "17"
## [103,] " Kr 50.000-99.999" "16" "7" "9" "20"
## [104,] " Kr 100.000-249.999" "16" "14" "24" "13"
## [105,] " Kr 250.000-499.999" "11" "15" "14" "7"
## [106,] " Kr 500.000-1 mill." "6" "13" "4" "10"
## [107,] " Over 1 mill." "2" "14" "3" "10"
## [108,] " Ønsker ikke å oppgi" "15" "14" "8" "13"
## [109,] " Vet ikke" "1" "0" "1" "0"
## [110,] "Q42_verdi_bolig, %" "" "" "" ""
## [111,] " Under kr 1 million" "5" "1" "1" "3"
## [112,] " Kr 1-1,9 million" "13" "6" "8" "10"
## [113,] " Kr 2-2,9 millioner" "19" "19" "23" "13"
## [114,] " Kr 3-3,9 millioner" "17" "26" "23" "17"
## [115,] " Kr 4-4,9 millioner" "14" "17" "13" "10"
## [116,] " Kr 5-5,9 millioner" "2" "9" "8" "23"
## [117,] " Kr 6-6,9 millioner" "2" "11" "3" "3"
## [118,] " Kr 7-7,9 millioner" "2" "1" "4" "7"
## [119,] " Kr 8 millioner eller mer" "1" "2" "5" "3"
## [120,] " Kan ikke selge boligen" "20" "5" "9" "7"
## [121,] " Vet ikke" "6" "3" "3" "3"
## [122,] "livsopph, %" "" "" "" ""
## [123,] " Inntektsgivende arbeid heltid" "70" "82" "74" "57"
## [124,] " Inntektsgivende arbeid deltid" "17" "8" "12" "13"
## [125,] " Selvstendig næringsdrivende" "3" "8" "3" "17"
## [126,] " Alderspensjonist" "1" "1" "0" "3"
## [127,] " For tiden arbeidsledig/arbeidstrygd" "2" "1" "3" "3"
## [128,] " Annen type trygd" "2" "0" "2" "3"
## [129,] " Elev, student" "5" "1" "6" "0"
## [130,] " Hjemmeværende/husarbeid i hjemmet" "0" "0" "1" "0"
## [131,] " Annet" "1" "0" "0" "3"
## [132,] "komsentr, %" "" "" "" ""
## [133,] " mindretettogrest" "58" "52" "37" "57"
## [134,] " småby" "17" "18" "19" "20"
## [135,] " storby" "25" "30" "44" "23"
## [136,] "antpers, %" "" "" "" ""
## [137,] " 1 person" "20" "19" "23" "17"
## [138,] " 2 personer" "32" "37" "36" "30"
## [139,] " 3 personer" "20" "23" "21" "30"
## [140,] " 4 personer" "18" "13" "12" "17"
## [141,] " 5 personer eller mer" "10" "9" "8" "7"
## [142,] "harborn, %" "33" "20" "28" "23"
## [143,] "stdgeo, %" "" "" "" ""
## [144,] " Oslo/Akershus" "14" "22" "32" "33"
## [145,] " Rest Østland" "25" "23" "24" "30"
## [146,] " Sør-/Vestland" "37" "36" "26" "17"
## [147,] " Tr.lag/Nord-Norge" "23" "19" "18" "20"
## [148,] "stdalder, %" "" "" "" ""
## [149,] " Under 30" "14" "3" "23" "7"
## [150,] " 30-44" "39" "20" "39" "33"
## [151,] " 45-59" "38" "50" "29" "40"
## [152,] " 60+" "9" "27" "8" "20"
## [153,] "alderkjonn, %" "" "" "" ""
## [154,] " <30 M" "6" "3" "9" "3"
## [155,] " <30 K" "8" "0" "13" "3"
## [156,] " 30-44 M" "19" "11" "12" "23"
## [157,] " 30-44 K" "20" "9" "28" "10"
## [158,] " 45-59 M" "29" "34" "8" "30"
## [159,] " 45-59 K" "9" "17" "22" "10"
## [160,] " 60+ M" "3" "19" "3" "7"
## [161,] " 60+ K" "6" "8" "5" "13"
## [162,] "r53ant, M (SD)" "8 (6)" "16 (5)" "17 (5)" "21 (5)"
## [163,] "ralder10, M (SD)" "38 (12)" "49 (11)" "36 (13)" "43 (14)"yvars<-colnames(dplyr::select(mecin, Q43_1_Advokat_dommer:Q43_35_Sykepleier))
t<-tabmulti(data=mecin, xvarname=xvar, yvarnames = yvars, p.include = FALSE, decimals=0, compress=TRUE, freq.parenth = "none", cell="col.percent", overall.column = FALSE)
t## Variable 1låg (n = 441) 2midtrad (n = 481) 3midung (n = 361) 4hog (n = 151)
## [1,] "Q43_1_Advokat_dommer, %" "24" "41" "45" "58"
## [2,] "Q43_2_Avisredaktor, %" "7" "10" "9" "17"
## [3,] "Q43_3_Bonde, %" "52" "61" "53" "67"
## [4,] "Q43_4_Buss_drosje_lastebilsjafor, %" "49" "48" "38" "60"
## [5,] "Q43_5_Butikkmedarbeider, %" "64" "64" "67" "70"
## [6,] "Q43_6_Eier_stor_bedrift, %" "23" "31" "19" "37"
## [7,] "Q43_7_Eier_av_utested_, %" "18" "22" "19" "29"
## [8,] "Q43_8_Forlagsmedarbeider, %" "2" "6" "13" "16"
## [9,] "Q43_9_Hjelpepleier, %" "51" "50" "51" "60"
## [10,] "Q43_10_Industriarbeider, %" "39" "46" "33" "53"
## [11,] "Q43_11_Ingenior, %" "42" "62" "70" "70"
## [12,] "Q43_13_IT_konsulent, %" "35" "49" "55" "56"
## [13,] "Q43_14_Journalist, %" "22" "33" "47" "54"
## [14,] "Q43_15_Kunstner, %" "19" "28" "39" "49"
## [15,] "Q43_16_Leder_i_neringslivet, %" "31" "53" "37" "57"
## [16,] "Q43_17_Leder_i_stat, %" "6" "15" "16" "29"
## [17,] "Q43_18_Leder_i_kommuneadministra, %" "12" "27" "21" "40"
## [18,] "Q43_19_Lege, %" "37" "49" "60" "63"
## [19,] "Q43_20_Lektor_videregaende, %" "20" "33" "50" "56"
## [20,] "Q43_21_Lerer_barne_ungdomsskole, %" "52" "57" "76" "77"
## [21,] "Q43_22_Politi, %" "42" "48" "50" "50"
## [22,] "Q43_23_Politiker_byrad_kommunest, %" "26" "38" "35" "71"
## [23,] "Q43_24_Postbud, %" "22" "28" "14" "34"
## [24,] "Q43_26_Professor, %" "10" "23" "39" "34"
## [25,] "Q43_27_Regnskapsforer, %" "38" "50" "47" "60"
## [26,] "Q43_28_Renholder, %" "40" "42" "29" "46"
## [27,] "Q43_29_Rorlegger, %" "44" "51" "30" "55"
## [28,] "Q43_30_Selger, %" "42" "47" "42" "56"
## [29,] "Q43_31_Sivilingenior, %" "22" "41" "46" "48"
## [30,] "Q43_32_Sivilokonom, %" "17" "28" "38" "34"
## [31,] "Q43_33_Sosionom_barnevernsarbeid, %" "31" "35" "52" "54"
## [32,] "Q43_34_Stortingspolitiker, %" "8" "16" "13" "40"
## [33,] "Q43_35_Sykepleier, %" "67" "74" "81" "79"yvars<-colnames(dplyr::select(mecin, Q47a_stemte:Q50x_lite_relevant))
t<-tabmulti(data=mecin, xvarname=xvar, yvarnames = yvars, p.include = FALSE, decimals=0, compress=TRUE, freq.parenth = "none", cell="col.percent", overall.column = FALSE)
t## Variable 1låg (n = 369) 2midtrad (n = 416) 3midung (n = 321) 4hog (n = 129)
## [1,] "Q47a_stemte, %" "100" "100" "100" "100"
## [2,] "Q47b_partilederdebatt, %" "20" "56" "52" "74"
## [3,] "Q47c_valgsending, %" "33" "70" "65" "76"
## [4,] "Q47d_avislesing, %" "33" "74" "83" "88"
## [5,] "Q47e_nettsider_parti, %" "11" "13" "43" "51"
## [6,] "Q47f_nyhetskilder_andre, %" "3" "5" "9" "33"
## [7,] "Q47g_diskusjon_jobb, %" "15" "30" "55" "56"
## [8,] "Q47h_diskusjon_venne_familie, %" "31" "57" "84" "89"
## [9,] "Q47i_valgomat, %" "42" "56" "78" "82"
## [10,] "Q47j_partiprogram, %" "15" "30" "52" "67"
## [11,] "Q47k_sosmedier_politikere_parti, %" "7" "12" "27" "60"
## [12,] "Q47l_ingen_a_k, %" "0" "0" "0" "0"
## [13,] "Q47m_politisk_reklame, %" "37" "48" "60" "67"
## [14,] "Q47n_sosmedier_dele_kommentere, %" "5" "9" "10" "60"
## [15,] "Q47o_sosmedier_statusoppdatering, %" "3" "1" "8" "36"
## [16,] "Q47p_leserinnlegg_debattinnlegg, %" "1" "3" "1" "9"
## [17,] "Q47q_oppfordre_stemmerett, %" "14" "23" "47" "67"
## [18,] "Q47r_pavirke_andre, %" "5" "10" "20" "55"
## [19,] "Q47s_politisk_mote, %" "1" "1" "2" "33"
## [20,] "Q47t_deltok_valgkamp, %" "1" "0" "2" "28"
## [21,] "Q47u_ingen_m_t, %" "47" "33" "15" "4"
## [22,] "Q49_politisk_parti, %" "" "" "" ""
## [23,] " Arbeiderpartiet" "22" "24" "25" "29"
## [24,] " Høyre" "19" "36" "12" "12"
## [25,] " Fremskrittspartiet" "21" "13" "4" "16"
## [26,] " Senterpartiet" "8" "7" "5" "6"
## [27,] " Sosialistisk Venstreparti" "4" "4" "19" "13"
## [28,] " Venstre" "4" "3" "7" "4"
## [29,] " Kristelig Folkeparti" "2" "4" "4" "5"
## [30,] " Miljøpartiet De Grønne" "2" "0" "10" "2"
## [31,] " Rødt" "3" "2" "8" "6"
## [32,] " Annet parti" "4" "1" "1" "2"
## [33,] " Jeg stemte blankt" "3" "0" "0" "0"
## [34,] " Vil ikke oppgi" "9" "5" "4" "5"
## [35,] "Q50a_har_tillit, %" "" "" "" ""
## [36,] " Delvis enig" "44" "62" "58" "47"
## [37,] " Delvis uenig" "30" "25" "27" "22"
## [38,] " Helt enig" "2" "6" "8" "16"
## [39,] " Helt uenig" "20" "6" "7" "15"
## [40,] " Vet ikke" "4" "1" "0" "0"
## [41,] "Q50b_usikker_partier, %" "" "" "" ""
## [42,] " Delvis enig" "56" "41" "36" "30"
## [43,] " Delvis uenig" "22" "32" "40" "29"
## [44,] " Helt enig" "11" "4" "2" "5"
## [45,] " Helt uenig" "8" "20" "21" "36"
## [46,] " Vet ikke" "3" "2" "0" "1"
## [47,] "Q50c_brenner_ikke, %" "" "" "" ""
## [48,] " Delvis enig" "30" "21" "7" "6"
## [49,] " Delvis uenig" "34" "36" "28" "14"
## [50,] " Helt enig" "7" "2" "1" "0"
## [51,] " Helt uenig" "26" "40" "64" "80"
## [52,] " Vet ikke" "2" "1" "0" "0"
## [53,] "Q50d_ingen_parti, %" "" "" "" ""
## [54,] " Delvis enig" "23" "14" "9" "11"
## [55,] " Delvis uenig" "44" "42" "40" "33"
## [56,] " Helt enig" "4" "1" "1" "2"
## [57,] " Helt uenig" "17" "38" "49" "55"
## [58,] " Vet ikke" "11" "5" "1" "0"
## [59,] "Q50e_politikk_lite_relevant, %" "" "" "" ""
## [60,] " Delvis enig" "31" "17" "12" "10"
## [61,] " Delvis uenig" "39" "40" "38" "20"
## [62,] " Helt enig" "5" "1" "2" "4"
## [63,] " Helt uenig" "20" "40" "47" "66"
## [64,] " Vet ikke" "4" "2" "1" "0"
## [65,] "Q50f_gjor_ingen_forskjell, %" "" "" "" ""
## [66,] " Delvis enig" "35" "27" "12" "16"
## [67,] " Delvis uenig" "27" "27" "34" "20"
## [68,] " Helt enig" "18" "3" "3" "2"
## [69,] " Helt uenig" "17" "42" "50" "62"
## [70,] " Vet ikke" "3" "2" "0" "0"
## [71,] "Q50g_plikt_stemme, %" "" "" "" ""
## [72,] " Delvis enig" "24" "15" "16" "14"
## [73,] " Delvis uenig" "6" "2" "2" "5"
## [74,] " Helt enig" "62" "80" "79" "75"
## [75,] " Helt uenig" "6" "2" "3" "5"
## [76,] " Vet ikke" "2" "0" "0" "1"
## [77,] "Q50h_mistro_demokrati, %" "" "" "" ""
## [78,] " Delvis enig" "11" "3" "4" "6"
## [79,] " Delvis uenig" "19" "12" "12" "12"
## [80,] " Helt enig" "5" "2" "1" "2"
## [81,] " Helt uenig" "56" "82" "82" "78"
## [82,] " Vet ikke" "9" "2" "1" "2"
## [83,] "Q50i_god_forstaelse, %" "" "" "" ""
## [84,] " Delvis enig" "51" "63" "67" "40"
## [85,] " Delvis uenig" "28" "5" "7" "1"
## [86,] " Helt enig" "6" "28" "25" "60"
## [87,] " Helt uenig" "6" "0" "0" "0"
## [88,] " Vet ikke" "8" "3" "1" "0"
## [89,] "Q50j_stoler_pa_, %" "" "" "" ""
## [90,] " Delvis enig" "44" "57" "47" "45"
## [91,] " Delvis uenig" "33" "25" "36" "32"
## [92,] " Helt enig" "5" "11" "7" "10"
## [93,] " Helt uenig" "16" "5" "11" "12"
## [94,] " Vet ikke" "2" "1" "1" "1"
## [95,] "Q50k_kan_pavirke, %" "" "" "" ""
## [96,] " Delvis enig" "19" "34" "40" "50"
## [97,] " Delvis uenig" "33" "39" "42" "22"
## [98,] " Helt enig" "2" "4" "3" "15"
## [99,] " Helt uenig" "41" "20" "12" "11"
## [100,] " Vet ikke" "5" "3" "4" "2"
## [101,] "Q50l_kan_finne_info, %" "" "" "" ""
## [102,] " Delvis enig" "46" "62" "59" "46"
## [103,] " Delvis uenig" "27" "13" "12" "5"
## [104,] " Helt enig" "8" "19" "26" "50"
## [105,] " Helt uenig" "9" "2" "2" "0"
## [106,] " Vet ikke" "9" "4" "1" "0"
## [107,] "Q50m_ubrukt_engasjement, %" "" "" "" ""
## [108,] " Delvis enig" "45" "46" "42" "39"
## [109,] " Delvis uenig" "23" "31" "31" "36"
## [110,] " Helt enig" "11" "5" "11" "12"
## [111,] " Helt uenig" "10" "9" "13" "14"
## [112,] " Vet ikke" "11" "8" "3" "0"
## [113,] "Q50n_ubehagelig_spurt, %" "" "" "" ""
## [114,] " Delvis enig" "22" "15" "23" "8"
## [115,] " Delvis uenig" "25" "28" "28" "19"
## [116,] " Helt enig" "10" "5" "6" "2"
## [117,] " Helt uenig" "40" "50" "44" "71"
## [118,] " Vet ikke" "4" "1" "0" "2"
## [119,] "Q50o_andre_forstar_ikke, %" "" "" "" ""
## [120,] " Delvis enig" "31" "39" "38" "47"
## [121,] " Delvis uenig" "21" "24" "31" "12"
## [122,] " Helt enig" "15" "11" "13" "28"
## [123,] " Helt uenig" "10" "12" "9" "7"
## [124,] " Vet ikke" "23" "14" "10" "6"
## [125,] "Q50p_folkeavstemminger, %" "" "" "" ""
## [126,] " Delvis enig" "38" "24" "21" "26"
## [127,] " Delvis uenig" "17" "31" "32" "21"
## [128,] " Helt enig" "23" "14" "13" "24"
## [129,] " Helt uenig" "10" "26" "23" "27"
## [130,] " Vet ikke" "12" "6" "10" "2"
## [131,] "Q50q_eksperter, %" "" "" "" ""
## [132,] " Delvis enig" "44" "42" "42" "33"
## [133,] " Delvis uenig" "14" "25" "23" "28"
## [134,] " Helt enig" "21" "10" "20" "9"
## [135,] " Helt uenig" "9" "18" "7" "29"
## [136,] " Vet ikke" "12" "6" "7" "2"
## [137,] "Q50r_venner_forventer, %" "" "" "" ""
## [138,] " Delvis enig" "30" "50" "54" "52"
## [139,] " Delvis uenig" "30" "15" "12" "5"
## [140,] " Helt enig" "7" "15" "27" "35"
## [141,] " Helt uenig" "18" "7" "3" "4"
## [142,] " Vet ikke" "16" "12" "4" "4"
## [143,] "Q50s_vite_hva_som_snakkes_om, %" "" "" "" ""
## [144,] " Delvis enig" "42" "46" "40" "39"
## [145,] " Delvis uenig" "29" "15" "28" "19"
## [146,] " Helt enig" "10" "25" "19" "33"
## [147,] " Helt uenig" "18" "13" "12" "8"
## [148,] " Vet ikke" "2" "0" "2" "2"
## [149,] "Q50t_behov_infomert, %" "" "" "" ""
## [150,] " Delvis enig" "55" "43" "39" "24"
## [151,] " Delvis uenig" "21" "0" "2" "1"
## [152,] " Helt enig" "15" "57" "59" "75"
## [153,] " Helt uenig" "7" "0" "0" "0"
## [154,] " Vet ikke" "2" "0" "0" "0"
## [155,] "Q50u_nyheter_komplisert, %" "" "" "" ""
## [156,] " Delvis enig" "47" "26" "24" "19"
## [157,] " Delvis uenig" "26" "37" "39" "29"
## [158,] " Helt enig" "9" "1" "1" "2"
## [159,] " Helt uenig" "14" "35" "35" "50"
## [160,] " Vet ikke" "4" "0" "0" "1"
## [161,] "Q50v_for_mye_informasjon, %" "" "" "" ""
## [162,] " Delvis enig" "45" "28" "32" "24"
## [163,] " Delvis uenig" "23" "33" "33" "38"
## [164,] " Helt enig" "15" "4" "4" "2"
## [165,] " Helt uenig" "11" "33" "29" "36"
## [166,] " Vet ikke" "6" "1" "1" "0"
## [167,] "Q50w_skjerme_mot_nyheter, %" "" "" "" ""
## [168,] " Delvis enig" "33" "25" "26" "19"
## [169,] " Delvis uenig" "26" "27" "30" "31"
## [170,] " Helt enig" "17" "4" "6" "2"
## [171,] " Helt uenig" "19" "44" "38" "49"
## [172,] " Vet ikke" "4" "1" "1" "0"
## [173,] "Q50x_lite_relevant, %" "" "" "" ""
## [174,] " Delvis enig" "24" "5" "6" "9"
## [175,] " Delvis uenig" "39" "29" "41" "22"
## [176,] " Helt enig" "4" "0" "0" "1"
## [177,] " Helt uenig" "28" "65" "51" "67"
## [178,] " Vet ikke" "5" "0" "1" "1"yvars<-colnames(dplyr::select(mecin, nordkorea:statsbudsj, Q57a_interesseorganisasjon:Q57k_ingen))
t<-tabmulti(data=mecin, xvarname=xvar, yvarnames = yvars, p.include = FALSE, decimals=0, compress=TRUE, freq.parenth = "none", cell="col.percent", overall.column = FALSE)
t## Variable 1låg (n = 441) 2midtrad (n = 481) 3midung (n = 361) 4hog (n = 151)
## [1,] "nordkorea, %" "66" "95" "90" "94"
## [2,] "catalonia, %" "51" "89" "84" "92"
## [3,] "velferdsprofitt, %" "28" "70" "68" "89"
## [4,] "SAS, %" "8" "36" "24" "51"
## [5,] "ulvejakt, %" "48" "73" "59" "77"
## [6,] "kommunesammen, %" "48" "86" "77" "93"
## [7,] "brexit, %" "38" "80" "75" "89"
## [8,] "listhaugsverige, %" "27" "66" "60" "82"
## [9,] "oljenord, %" "28" "67" "66" "83"
## [10,] "storeprivok, %" "14" "40" "25" "61"
## [11,] "bloggrasmussen, %" "7" "3" "12" "6"
## [12,] "russlandval, %" "43" "85" "85" "87"
## [13,] "formueskatt, %" "17" "50" "40" "73"
## [14,] "hijabnrk, %" "21" "41" "42" "55"
## [15,] "lokalsjukehus, %" "28" "58" "46" "77"
## [16,] "Hjorth, %" "4" "14" "25" "25"
## [17,] "krfvregj, %" "22" "70" "63" "82"
## [18,] "jensen, %" "49" "84" "68" "83"
## [19,] "nobellitt, %" "6" "23" "27" "38"
## [20,] "sykkelvm, %" "27" "58" "43" "54"
## [21,] "plastkvalen, %" "40" "70" "57" "70"
## [22,] "SSB, %" "39" "86" "72" "91"
## [23,] "skalvidanse, %" "4" "11" "4" "6"
## [24,] "co2budsj, %" "4" "13" "16" "32"
## [25,] "kygo, %" "6" "11" "9" "11"
## [26,] "skamkarriere, %" "7" "4" "17" "7"
## [27,] "metoo, %" "45" "76" "89" "87"
## [28,] "syriaflykt, %" "36" "78" "83" "88"
## [29,] "voldvidg, %" "37" "71" "59" "77"
## [30,] "nikabforbod, %" "23" "55" "42" "70"
## [31,] "rumentigg, %" "29" "59" "47" "69"
## [32,] "statsbudsj, %" "14" "62" "52" "82"
## [33,] "Q57a_interesseorganisasjon, %" "5" "6" "18" "42"
## [34,] "Q57b_politisk_partiarbeid, %" "2" "3" "4" "45"
## [35,] "Q57c_streik, %" "2" "1" "8" "6"
## [36,] "Q57d_demonstrasjon, %" "4" "2" "17" "36"
## [37,] "Q57e_kontaktet_politiker, %" "5" "9" "8" "54"
## [38,] "Q57f_kontaktet_media, %" "3" "10" "5" "45"
## [39,] "Q57g_personlig_protest, %" "8" "9" "28" "32"
## [40,] "Q57h_underskriftskamapnje, %" "32" "24" "61" "68"
## [41,] "Q57i_donert_penger, %" "5" "4" "19" "38"
## [42,] "Q57j_deltatt_markering, %" "13" "16" "47" "34"
## [43,] "Q57k_ingen, %" "46" "44" "16" "1"yvars<-colnames(dplyr::select(mecin, Q58a_Facebook:Q59k_kommenterer_nyheter, Q61a_rolle_i_samfunn:Q65g_ikke_samfunnsdebatt))
t<-tabmulti(data=mecin, xvarname=xvar, yvarnames = yvars, p.include = FALSE, decimals=0, compress=TRUE, freq.parenth = "none", cell="col.percent", overall.column = FALSE)
t## Variable 1låg (n = 189) 2midtrad (n = 256) 3midung (n = 243) 4hog (n = 141)
## [1,] "Q58a_Facebook, %" "94" "93" "97" "97"
## [2,] "Q58b_Twitter, %" "16" "16" "19" "29"
## [3,] "Q58c_Snapchat, %" "61" "47" "70" "56"
## [4,] "Q58d_Instagram, %" "49" "35" "61" "50"
## [5,] "Q58e_LinkedIn, %" "14" "18" "33" "26"
## [6,] "Q58f_annet, %" "4" "4" "6" "4"
## [7,] "Q59a_oppdatering_sosial, %" "" "" "" ""
## [8,] " Aldri" "9" "17" "12" "11"
## [9,] " Daglig" "10" "3" "2" "8"
## [10,] " Flere ganger daglig" "2" "1" "1" "1"
## [11,] " Sjeldnere" "66" "66" "76" "51"
## [12,] " Ukentlig" "14" "12" "10" "28"
## [13,] "Q59b_orientering_sosial, %" "" "" "" ""
## [14,] " Aldri" "2" "4" "0" "0"
## [15,] " Daglig" "42" "43" "44" "56"
## [16,] " Flere ganger daglig" "11" "8" "7" "16"
## [17,] " Sjeldnere" "15" "9" "10" "3"
## [18,] " Ukentlig" "30" "37" "38" "26"
## [19,] "Q59c_orientering_kultur, %" "" "" "" ""
## [20,] " Aldri" "5" "5" "2" "1"
## [21,] " Daglig" "7" "12" "11" "26"
## [22,] " Flere ganger daglig" "3" "0" "2" "2"
## [23,] " Sjeldnere" "52" "50" "29" "35"
## [24,] " Ukentlig" "32" "33" "56" "36"
## [25,] "Q59d_arrangement_invitasjoner, %" "" "" "" ""
## [26,] " Aldri" "31" "44" "22" "19"
## [27,] " Daglig" "5" "0" "0" "1"
## [28,] " Flere ganger daglig" "1" "0" "0" "1"
## [29,] " Sjeldnere" "58" "55" "75" "72"
## [30,] " Ukentlig" "5" "1" "3" "6"
## [31,] "Q59e_organisering_aktivitet, %" "" "" "" ""
## [32,] " Aldri" "41" "48" "34" "33"
## [33,] " Daglig" "12" "9" "11" "10"
## [34,] " Flere ganger daglig" "1" "1" "1" "2"
## [35,] " Sjeldnere" "28" "30" "30" "28"
## [36,] " Ukentlig" "17" "12" "24" "28"
## [37,] "Q59f_oppdateringer_jobb, %" "" "" "" ""
## [38,] " Aldri" "40" "51" "32" "33"
## [39,] " Daglig" "6" "2" "3" "4"
## [40,] " Flere ganger daglig" "2" "0" "1" "2"
## [41,] " Sjeldnere" "37" "34" "52" "43"
## [42,] " Ukentlig" "16" "12" "13" "18"
## [43,] "Q59g_lengre_innlegg, %" "" "" "" ""
## [44,] " Aldri" "70" "73" "63" "35"
## [45,] " Daglig" "4" "0" "0" "2"
## [46,] " Flere ganger daglig" "2" "0" "0" "1"
## [47,] " Sjeldnere" "22" "27" "37" "53"
## [48,] " Ukentlig" "2" "0" "0" "9"
## [49,] "Q59h_starter_debatt, %" "" "" "" ""
## [50,] " Aldri" "63" "73" "70" "28"
## [51,] " Daglig" "3" "0" "0" "1"
## [52,] " Flere ganger daglig" "1" "0" "0" "1"
## [53,] " Sjeldnere" "30" "26" "30" "55"
## [54,] " Ukentlig" "3" "0" "1" "14"
## [55,] "Q59i_deltar_debatt, %" "" "" "" ""
## [56,] " Aldri" "35" "39" "38" "7"
## [57,] " Daglig" "3" "0" "0" "6"
## [58,] " Flere ganger daglig" "2" "0" "0" "4"
## [59,] " Sjeldnere" "53" "57" "57" "49"
## [60,] " Ukentlig" "7" "4" "5" "35"
## [61,] "Q59j_dele_nyheter, %" "" "" "" ""
## [62,] " Aldri" "31" "35" "14" "6"
## [63,] " Daglig" "4" "0" "0" "6"
## [64,] " Flere ganger daglig" "1" "0" "0" "1"
## [65,] " Sjeldnere" "56" "58" "79" "45"
## [66,] " Ukentlig" "8" "6" "7" "40"
## [67,] "Q59k_kommenterer_nyheter, %" "" "" "" ""
## [68,] " Aldri" "25" "28" "24" "4"
## [69,] " Daglig" "3" "0" "1" "9"
## [70,] " Flere ganger daglig" "1" "0" "0" "0"
## [71,] " Sjeldnere" "60" "64" "71" "42"
## [72,] " Ukentlig" "10" "8" "4" "45"
## [73,] "Q61a_rolle_i_samfunn, %" "23" "27" "42" "46"
## [74,] "Q61b_ingenting_bidra, %" "14" "8" "8" "3"
## [75,] "Q61c_vanskelig_formulere, %" "16" "12" "14" "11"
## [76,] "Q61d_ingen_forskjell, %" "20" "18" "18" "12"
## [77,] "Q61e_foretrekke_f2f, %" "42" "54" "60" "39"
## [78,] "Q61f_redd_kritikk, %" "10" "6" "14" "4"
## [79,] "Q61g_redd_misforstatt, %" "20" "20" "30" "16"
## [80,] "Q61h_redd_trakasering, %" "11" "9" "20" "9"
## [81,] "Q61i_redd_manglende_respons, %" "4" "2" "7" "5"
## [82,] "Q61j_redd_feilinfo, %" "14" "14" "19" "15"
## [83,] "Q61k_redd_uenighet, %" "5" "0" "5" "4"
## [84,] "Q61l_redd_ut_av_sammenheng, %" "21" "26" "37" "23"
## [85,] "Q61m_annet, %" "10" "9" "19" "11"
## [86,] "Q61n_ingen, %" "15" "9" "3" "16"
## [87,] "Q62a_nyttig_for_andre, %" "32" "40" "51" "65"
## [88,] "Q62b_dele_synspunkt, %" "28" "27" "28" "55"
## [89,] "Q62c_korrigere_debatt, %" "19" "17" "25" "47"
## [90,] "Q62d_vise_identitet, %" "8" "8" "17" "16"
## [91,] "Q62e_underholde, %" "34" "34" "32" "35"
## [92,] "Q62f_kontakt_med_andre, %" "11" "10" "9" "20"
## [93,] "Q62g_formidle_engasjement, %" "22" "32" "45" "69"
## [94,] "Q62h_fremsta_informert, %" "9" "12" "7" "10"
## [95,] "Q62i_starte_debatt, %" "2" "0" "4" "11"
## [96,] "Q62j_rolle_i_samfunn, %" "2" "4" "3" "12"
## [97,] "Q62k_annet, %" "5" "4" "5" "6"
## [98,] "Q62l_ingen, %" "21" "20" "14" "1"
## [99,] "Q63a_nyttig_nyhetsformidler, %" "" "" "" ""
## [100,] " Manglar" "0" "0" "0" "1"
## [101,] " Passer delvis" "57" "59" "56" "54"
## [102,] " Passer helt" "20" "13" "15" "30"
## [103,] " Passer ikke" "22" "26" "28" "15"
## [104,] " Vet ikke" "2" "1" "1" "1"
## [105,] "Q63b_nyheter_tilfeldig, %" "" "" "" ""
## [106,] " Passer delvis" "57" "63" "55" "57"
## [107,] " Passer helt" "25" "15" "22" "28"
## [108,] " Passer ikke" "12" "16" "19" "12"
## [109,] " Vet ikke" "6" "6" "5" "4"
## [110,] "Q63c_folger_brukere_organisasjon, %" "" "" "" ""
## [111,] " Manglar" "1" "0" "0" "0"
## [112,] " Passer delvis" "41" "46" "48" "52"
## [113,] " Passer helt" "13" "13" "20" "38"
## [114,] " Passer ikke" "39" "38" "31" "11"
## [115,] " Vet ikke" "7" "3" "1" "0"
## [116,] "Q63d_vet_ikke_hvorfra, %" "" "" "" ""
## [117,] " Manglar" "0" "1" "0" "0"
## [118,] " Passer delvis" "38" "37" "22" "27"
## [119,] " Passer helt" "9" "8" "7" "6"
## [120,] " Passer ikke" "46" "48" "68" "63"
## [121,] " Vet ikke" "7" "6" "3" "4"
## [122,] "Q63e_enig_nyheter, %" "" "" "" ""
## [123,] " Manglar" "0" "0" "0" "0"
## [124,] " Passer delvis" "35" "29" "31" "38"
## [125,] " Passer helt" "4" "2" "1" "2"
## [126,] " Passer ikke" "41" "50" "47" "45"
## [127,] " Vet ikke" "20" "19" "20" "15"
## [128,] "Q63f_samme_nyheter_ellers, %" "" "" "" ""
## [129,] " Passer delvis" "53" "54" "41" "56"
## [130,] " Passer helt" "20" "20" "33" "24"
## [131,] " Passer ikke" "12" "14" "13" "11"
## [132,] " Vet ikke" "15" "12" "13" "9"
## [133,] "Q64g_debatt_viktig, %" "" "" "" ""
## [134,] " Manglar" "8" "5" "3" "2"
## [135,] " Passer delvis" "51" "48" "50" "53"
## [136,] " Passer helt" "9" "8" "6" "21"
## [137,] " Passer ikke" "32" "38" "41" "23"
## [138,] "Q64h_delta_viktig, %" "" "" "" ""
## [139,] " Manglar" "15" "11" "9" "3"
## [140,] " Passer delvis" "42" "47" "44" "60"
## [141,] " Passer helt" "11" "8" "8" "23"
## [142,] " Passer ikke" "32" "34" "39" "13"
## [143,] "Q64i_diskusjon_horer_ikke_hjemme, %" "" "" "" ""
## [144,] " Manglar" "11" "6" "11" "1"
## [145,] " Passer delvis" "32" "38" "33" "25"
## [146,] " Passer helt" "17" "10" "9" "8"
## [147,] " Passer ikke" "40" "46" "47" "66"
## [148,] "Q64j_lett_delta, %" "" "" "" ""
## [149,] " Manglar" "10" "6" "9" "2"
## [150,] " Passer delvis" "53" "59" "57" "51"
## [151,] " Passer helt" "21" "21" "20" "38"
## [152,] " Passer ikke" "16" "13" "14" "9"
## [153,] "Q64k_liten_verdi, %" "" "" "" ""
## [154,] " Manglar" "8" "7" "9" "2"
## [155,] " Passer delvis" "50" "47" "44" "52"
## [156,] " Passer helt" "19" "27" "33" "25"
## [157,] " Passer ikke" "23" "20" "14" "21"
## [158,] "Q64l_private_ytringer, %" "" "" "" ""
## [159,] " Manglar" "17" "7" "12" "5"
## [160,] " Passer delvis" "37" "45" "37" "36"
## [161,] " Passer helt" "17" "17" "6" "11"
## [162,] " Passer ikke" "29" "31" "46" "48"
## [163,] "Q65a_grupper_private_medlinger, %" "" "" "" ""
## [164,] " Manglar" "8" "7" "3" "0"
## [165,] " Passer delvis" "39" "47" "34" "40"
## [166,] " Passer helt" "31" "21" "41" "20"
## [167,] " Passer ikke" "22" "25" "22" "40"
## [168,] "Q65b_selvsensur, %" "" "" "" ""
## [169,] " Manglar" "6" "5" "2" "1"
## [170,] " Passer delvis" "29" "26" "24" "28"
## [171,] " Passer helt" "9" "6" "8" "9"
## [172,] " Passer ikke" "56" "63" "65" "62"
## [173,] "Q65c_lettere_enn_f2f, %" "" "" "" ""
## [174,] " Manglar" "7" "7" "6" "2"
## [175,] " Passer delvis" "25" "16" "14" "23"
## [176,] " Passer helt" "8" "3" "3" "3"
## [177,] " Passer ikke" "59" "75" "77" "72"
## [178,] "Q65d_folger_sider_grupper, %" "" "" "" ""
## [179,] " Manglar" "10" "7" "3" "1"
## [180,] " Passer delvis" "41" "46" "50" "48"
## [181,] " Passer helt" "8" "9" "18" "40"
## [182,] " Passer ikke" "40" "38" "29" "10"
## [183,] "Q65e_naturlig_delta, %" "" "" "" ""
## [184,] " Manglar" "8" "5" "3" "0"
## [185,] " Passer delvis" "36" "43" "36" "58"
## [186,] " Passer helt" "8" "5" "3" "26"
## [187,] " Passer ikke" "48" "46" "58" "16"
## [188,] "Q65f_bor_respondere, %" "" "" "" ""
## [189,] " Manglar" "7" "7" "4" "0"
## [190,] " Passer delvis" "41" "38" "35" "55"
## [191,] " Passer helt" "8" "8" "7" "21"
## [192,] " Passer ikke" "44" "47" "55" "24"
## [193,] "Q65g_ikke_samfunnsdebatt, %" "" "" "" ""
## [194,] " Manglar" "16" "7" "9" "4"
## [195,] " Passer delvis" "42" "46" "47" "43"
## [196,] " Passer helt" "22" "21" "27" "8"
## [197,] " Passer ikke" "21" "26" "17" "46"yvars<-colnames(dplyr::select(mecin, Q67_utdanning_mor:Q73_frivillig_arbeid))
t<-tabmulti(data=mecin, xvarname=xvar, yvarnames = yvars, p.include = FALSE, decimals=0, compress=TRUE, freq.parenth = "none", cell="col.percent", overall.column = FALSE)
t## Variable 1låg (n = 379) 2midtrad (n = 450) 3midung (n = 338) 4hog (n = 140)
## [1,] "Q67_utdanning_mor, %" "" "" "" ""
## [2,] " Folkeskolenivå (Inntil 8 års skolegang)" "35" "51" "9" "32"
## [3,] " Ungdomsskole/realskolenivå (9-10 a°rs skolegang)" "13" "18" "11" "15"
## [4,] " Videregående skole/gymnasnivå (11-13 års skolegang) \t\t" "34" "18" "31" "31"
## [5,] " Universitet/ høyskole, lavere grad (Bachelor, Cand.mag/ høy" "14" "10" "34" "13"
## [6,] " Universitet/ høyskole, høyere grad (Master, Hovedfag, høysk" "5" "4" "14" "9"
## [7,] " Vet ikke" "0" "0" "0" "0"
## [8,] "Q67_utdanning_far, %" "" "" "" ""
## [9,] " Folkeskolenivå (Inntil 8 års skolegang)" "28" "39" "10" "29"
## [10,] " Ungdomsskole/realskolenivå (9-10 a°rs skolegang)" "15" "16" "9" "12"
## [11,] " Videregående skole/gymnasnivå (11-13 års skolegang) \t\t" "31" "23" "26" "25"
## [12,] " Universitet/ høyskole, lavere grad (Bachelor, Cand.mag/ høy" "16" "14" "26" "16"
## [13,] " Universitet/ høyskole, høyere grad (Master, Hovedfag, høysk" "10" "8" "29" "18"
## [14,] " Vet ikke" "0" "0" "0" "0"
## [15,] "Q68_foreldre_politisk_verv, %" "" "" "" ""
## [16,] " Nei" "85" "81" "81" "74"
## [17,] " Ja, far" "10" "15" "10" "16"
## [18,] " Ja, mor" "4" "3" "7" "3"
## [19,] " Ja, både far og mor" "1" "0" "3" "7"
## [20,] "Q69a_oppvekst_kultur, %" "" "" "" ""
## [21,] " Helt uenig" "18" "16" "8" "10"
## [22,] " Delvis uenig" "27" "30" "12" "14"
## [23,] " Delvis enig" "40" "38" "39" "46"
## [24,] " Helt enig" "15" "17" "41" "29"
## [25,] " Usikker" "0" "0" "0" "0"
## [26,] "Q69b_oppvekst_politikk, %" "" "" "" ""
## [27,] " Helt uenig" "31" "15" "8" "5"
## [28,] " Delvis uenig" "31" "25" "24" "21"
## [29,] " Delvis enig" "27" "42" "40" "36"
## [30,] " Helt enig" "9" "17" "28" "37"
## [31,] " Usikker" "2" "1" "0" "0"
## [32,] "Q69c_oppvekst_okonomi, %" "" "" "" ""
## [33,] " Helt uenig" "18" "22" "13" "20"
## [34,] " Delvis uenig" "30" "36" "25" "33"
## [35,] " Delvis enig" "34" "30" "42" "27"
## [36,] " Helt enig" "16" "12" "20" "19"
## [37,] " Usikker" "2" "1" "0" "1"
## [38,] "Q71a_politisk_parti_, %" "3" "8" "11" "51"
## [39,] "Q71b_fagforbund, %" "37" "44" "60" "52"
## [40,] "Q71c_interesseorganisasjon, %" "3" "5" "14" "29"
## [41,] "Q71d_miljovern, %" "3" "2" "11" "12"
## [42,] "Q71e_bredskap, %" "6" "10" "14" "14"
## [43,] "Q71f_solidaritet, %" "2" "2" "12" "7"
## [44,] "Q71g_fadder, %" "6" "20" "23" "23"
## [45,] "Q71a_forening, %" "1" "6" "1" "9"
## [46,] "Q71b_velforening, %" "11" "22" "8" "40"
## [47,] "Q71c_kultur, %" "9" "15" "14" "21"
## [48,] "Q71d_ingen, %" "40" "21" "14" "8"
## [49,] "Q71e_friluftsliv, %" "7" "14" "29" "27"
## [50,] "Q71f_omsorg_inkludering, %" "2" "3" "4" "3"
## [51,] "Q71g_helse, %" "4" "5" "5" "12"
## [52,] "Q71h_motor_bat_bil, %" "9" "15" "2" "21"
## [53,] "Q71i_religion, %" "4" "9" "8" "11"
## [54,] "Q71j_human_etisk, %" "2" "3" "8" "11"
## [55,] "Q71k_idrettslag, %" "12" "25" "18" "34"
## [56,] "Q71l_hobbyforening, %" "1" "4" "1" "10"
## [57,] "Q71m_studentsamfunn, %" "3" "1" "7" "5"
## [58,] "Q71n_pensjonistforening, %" "5" "14" "0" "10"
## [59,] "Q71o_annen, %" "10" "15" "11" "20"
## [60,] "Q71p_ingen, %" "45" "22" "27" "11"
## [61,] "Q73_frivillig_arbeid, %" "" "" "" ""
## [62,] " Ja, mindre enn 1 time pr. måned" "12" "15" "17" "14"
## [63,] " Ja, 1-5 timer pr. måned" "16" "15" "19" "21"
## [64,] " Ja, 6-15 timer pr. måned" "6" "11" "9" "17"
## [65,] " Ja, mer enn 15 timer pr. måned" "4" "9" "6" "17"
## [66,] " Nei, utfører ikke frivillig arbeid" "61" "50" "50" "31"yvars<-colnames(dplyr::select(mecin, Q75a_Helsevesenet:Q76s_annet, Q77a_innvandring_truer_velferdss:Q79f_Lokalavisen))
t<-tabmulti(data=mecin, xvarname=xvar, yvarnames = yvars, p.include = FALSE, decimals=0, compress=TRUE, freq.parenth = "none", cell="col.percent", overall.column = FALSE)## Warning in mean.default(X[[i]], ...): argument is not numeric or logical: returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical: returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical: returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical: returning NA## Warning in var(if (is.vector(x) || is.factor(x)) x else as.double(x), na.rm = na.rm): NAs introduced by coercion
## Warning in var(if (is.vector(x) || is.factor(x)) x else as.double(x), na.rm = na.rm): NAs introduced by coercion
## Warning in var(if (is.vector(x) || is.factor(x)) x else as.double(x), na.rm = na.rm): NAs introduced by coercion## Warning in mean.default(y): argument is not numeric or logical: returning NA## Warning in var(if (is.vector(x) || is.factor(x)) x else as.double(x), na.rm = na.rm): NAs introduced by coercion## Warning in mean.default(X[[i]], ...): argument is not numeric or logical: returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical: returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical: returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical: returning NA## Warning in var(if (is.vector(x) || is.factor(x)) x else as.double(x), na.rm = na.rm): NAs introduced by coercion## Warning in mean.default(y): argument is not numeric or logical: returning NA## Warning in var(if (is.vector(x) || is.factor(x)) x else as.double(x), na.rm = na.rm): NAs introduced by coerciont## Variable 1låg (n = 189) 2midtrad (n = 224) 3midung (n = 172) 4hog (n = 83)
## [1,] "Q75a_Helsevesenet, %" "" "" "" ""
## [2,] " Svært riktig" "2" "5" "2" "1"
## [3,] " Ganske riktig" "48" "53" "54" "55"
## [4,] " Verken riktig eller uriktig" "40" "33" "32" "35"
## [5,] " Ganske uriktig" "10" "9" "12" "8"
## [6,] " Helt uriktig" "0" "0" "1" "0"
## [7,] "Q75b_Neringslivet, %" "" "" "" ""
## [8,] " Svært riktig" "2" "4" "2" "6"
## [9,] " Ganske riktig" "42" "58" "53" "57"
## [10,] " Verken riktig eller uriktig" "50" "31" "40" "33"
## [11,] " Ganske uriktig" "6" "6" "5" "5"
## [12,] " Helt uriktig" "1" "0" "1" "0"
## [13,] "Q75c_Innvandring, %" "" "" "" ""
## [14,] " Svært riktig" "1" "3" "1" "1"
## [15,] " Ganske riktig" "28" "41" "40" "34"
## [16,] " Verken riktig eller uriktig" "43" "36" "35" "30"
## [17,] " Ganske uriktig" "22" "18" "22" "28"
## [18,] " Helt uriktig" "5" "3" "2" "7"
## [19,] "Q75d_Arbeidsmarkedet, %" "" "" "" ""
## [20,] " Svært riktig" "2" "6" "1" "2"
## [21,] " Ganske riktig" "43" "54" "58" "58"
## [22,] " Verken riktig eller uriktig" "42" "33" "34" "28"
## [23,] " Ganske uriktig" "12" "6" "7" "11"
## [24,] " Helt uriktig" "1" "0" "1" "1"
## [25,] "Q75e_Klimadebatten, %" "" "" "" ""
## [26,] " Svært riktig" "2" "4" "4" "10"
## [27,] " Ganske riktig" "28" "41" "44" "49"
## [28,] " Verken riktig eller uriktig" "48" "37" "35" "17"
## [29,] " Ganske uriktig" "17" "15" "15" "18"
## [30,] " Helt uriktig" "4" "3" "2" "6"
## [31,] "Q75f_EU_EoS, %" "" "" "" ""
## [32,] " Svært riktig" "2" "6" "3" "6"
## [33,] " Ganske riktig" "30" "49" "48" "42"
## [34,] " Verken riktig eller uriktig" "53" "34" "41" "35"
## [35,] " Ganske uriktig" "11" "10" "6" "16"
## [36,] " Helt uriktig" "3" "1" "2" "1"
## [37,] "Q75g_Kriminalitet, %" "" "" "" ""
## [38,] " Svært riktig" "2" "6" "1" "1"
## [39,] " Ganske riktig" "43" "56" "47" "49"
## [40,] " Verken riktig eller uriktig" "42" "25" "38" "23"
## [41,] " Ganske uriktig" "10" "11" "12" "22"
## [42,] " Helt uriktig" "4" "2" "1" "5"
## [43,] "Q76a_NRK, %" "66" "79" "83" "72"
## [44,] "Q76b_TV2, %" "40" "40" "28" "24"
## [45,] "Q76c_Aftenposten, %" "23" "49" "59" "48"
## [46,] "Q76d_Dagbladet, %" "11" "18" "17" "18"
## [47,] "Q76e_VG, %" "15" "25" "22" "18"
## [48,] "Q76f_Dagens_Neringsliv, %" "4" "12" "16" "12"
## [49,] "Q76g_Finansavisen, %" "2" "5" "6" "6"
## [50,] "Q76h_Klassekampen, %" "6" "17" "27" "28"
## [51,] "Q76i_Nationen, %" "2" "4" "5" "4"
## [52,] "Q76j_Vart_Land, %" "3" "5" "10" "10"
## [53,] "Q76k_Dagen, %" "2" "4" "2" "2"
## [54,] "Q76l_Lokalavisen, %" "8" "18" "10" "20"
## [55,] "Q76m_Regionsavisen, %" "3" "5" "7" "11"
## [56,] "Q76n_Rights_no, %" "3" "6" "4" "12"
## [57,] "Q76o_Document_no, %" "4" "10" "2" "14"
## [58,] "Q76p_Fria_Tider, %" "1" "1" "1" "0"
## [59,] "Q76q_Den_korte_avis, %" "1" "1" "1" "0"
## [60,] "Q76r_Diskusjonstrader__sosmedier, %" "5" "3" "5" "10"
## [61,] "Q76s_annet, %" "10" "5" "9" "5"
## [62,] "Q77a_innvandring_truer_velferdss, %" "" "" "" ""
## [63,] " Helt enig" "26" "17" "6" "18"
## [64,] " Delvis enig" "30" "36" "24" "19"
## [65,] " Delvis uenig" "28" "26" "33" "24"
## [66,] " Helt uenig" "16" "21" "37" "39"
## [67,] " Vet ikke" "0" "0" "0" "0"
## [68,] "Q77b_innvandring_truer_kultur, %" "" "" "" ""
## [69,] " Helt enig" "30" "19" "6" "20"
## [70,] " Delvis enig" "29" "36" "20" "16"
## [71,] " Delvis uenig" "26" "24" "23" "23"
## [72,] " Helt uenig" "15" "21" "50" "41"
## [73,] " Vet ikke" "0" "0" "0" "0"
## [74,] "Q77c_innvandring_truer_orden, %" "" "" "" ""
## [75,] " Helt enig" "29" "20" "6" "20"
## [76,] " Delvis enig" "31" "31" "20" "14"
## [77,] " Delvis uenig" "27" "28" "33" "23"
## [78,] " Helt uenig" "13" "22" "42" "42"
## [79,] " Vet ikke" "0" "0" "0" "0"
## [80,] "Q78a_nyhetsmedier_favoriserer, M (SD)" "NA (NA)" "NA (NA)" "NA (NA)" "NA (1)"
## [81,] "Q78b_nyhetsmedier_pavirket, M (SD)" "NA (1)" "NA (1)" "NA (NA)" "NA (1)"
## [82,] "Q79a_NRK, %" "" "" "" ""
## [83,] " Svært høy tillit" "15" "18" "31" "28"
## [84,] " Nokså høy tillit" "60" "68" "59" "53"
## [85,] " Nokså lav tillit" "19" "12" "8" "12"
## [86,] " Ingen tillit" "7" "2" "2" "7"
## [87,] "Q79b_TV2, %" "" "" "" ""
## [88,] " Svært høy tillit" "8" "7" "6" "11"
## [89,] " Nokså høy tillit" "62" "67" "62" "52"
## [90,] " Nokså lav tillit" "23" "25" "30" "29"
## [91,] " Ingen tillit" "7" "2" "2" "8"
## [92,] "Q79c_Aftenposten, %" "" "" "" ""
## [93,] " Svært høy tillit" "6" "15" "28" "27"
## [94,] " Nokså høy tillit" "59" "71" "63" "53"
## [95,] " Nokså lav tillit" "25" "11" "8" "16"
## [96,] " Ingen tillit" "10" "3" "1" "5"
## [97,] "Q79d_Dagbladet, %" "" "" "" ""
## [98,] " Svært høy tillit" "5" "4" "4" "10"
## [99,] " Nokså høy tillit" "44" "48" "48" "29"
## [100,] " Nokså lav tillit" "40" "43" "44" "46"
## [101,] " Ingen tillit" "12" "6" "4" "16"
## [102,] "Q79e_VG, %" "" "" "" ""
## [103,] " Svært høy tillit" "5" "2" "3" "8"
## [104,] " Nokså høy tillit" "43" "50" "45" "39"
## [105,] " Nokså lav tillit" "42" "42" "47" "43"
## [106,] " Ingen tillit" "11" "7" "5" "10"
## [107,] "Q79f_Lokalavisen, %" "" "" "" ""
## [108,] " Svært høy tillit" "10" "8" "7" "8"
## [109,] " Nokså høy tillit" "57" "61" "64" "58"
## [110,] " Nokså lav tillit" "28" "30" "26" "31"
## [111,] " Ingen tillit" "5" "1" "3" "2"# klyngestatistikk
xvar<-"pcmfakly7"
yvars<-colnames(dplyr::select(mecin,Q2a_TV_stue:Q6p_nyheter_radio, Q7a_disponere_fritid:Q8j_ingen, Q9a_alltid_tilgjengelig:Q10m_minde_tid_fordyping, Q11_1_utenriksnyheter: Q21p_dugnad, Q22a_Dagsreveyen:Q22y_Top_Gear))
t<-tabmulti(data=mecin, xvarname=xvar, yvarnames = yvars, p.include = FALSE, decimals=0, compress=TRUE, freq.parenth = "none", cell="col.percent", overall.column = FALSE)
t## Variable 1låg (n = 72) 2pensjtvlok (n = 56) 3nærokmann (n = 93) 4ukultkvi (n = 38) 5pensmannsak (n = 60) 6kultpol (n = 25) 7polit (n = 20)
## [1,] "Q2a_TV_stue, %" "92" "96" "96" "97" "95" "92" "90"
## [2,] "Q2b_TV_annet, %" "58" "39" "57" "32" "53" "64" "45"
## [3,] "Q2c_nettbrett, %" "100" "98" "100" "97" "97" "96" "95"
## [4,] "Q2d_smarttelefon, %" "100" "100" "100" "100" "100" "100" "100"
## [5,] "Q2e_mobil_eldre, %" "4" "7" "3" "3" "8" "0" "0"
## [6,] "Q2f_fasttelefon, %" "15" "18" "14" "16" "20" "20" "15"
## [7,] "Q2g_radio, %" "67" "86" "74" "63" "90" "88" "60"
## [8,] "Q2h_spillkonsoll, %" "53" "5" "40" "47" "17" "32" "45"
## [9,] "Q2i_PC, %" "89" "64" "89" "87" "88" "88" "85"
## [10,] "Q2j_ingen, %" "0" "0" "0" "0" "0" "0" "0"
## [11,] "Q3a_TV_stue, %" "90" "96" "92" "95" "92" "80" "90"
## [12,] "Q3b_TV_annet, %" "29" "20" "26" "8" "30" "28" "30"
## [13,] "Q3c_nettbrett, %" "100" "98" "100" "100" "97" "100" "95"
## [14,] "Q3d_smarttelefon, %" "100" "100" "100" "100" "100" "100" "100"
## [15,] "Q3e_mobil_eldre, %" "1" "4" "0" "3" "5" "0" "0"
## [16,] "Q3f_fasttelefon, %" "6" "11" "8" "8" "18" "8" "5"
## [17,] "Q3g_radio, %" "43" "71" "51" "32" "65" "48" "45"
## [18,] "Q3h_spillkonsoll, %" "15" "2" "6" "18" "3" "0" "15"
## [19,] "Q3i_PC, %" "71" "52" "76" "74" "75" "72" "80"
## [20,] "Q3j_ingen, %" "0" "0" "0" "0" "0" "0" "0"
## [21,] "Q4a_strom_film_TV, %" "76" "50" "75" "92" "40" "68" "70"
## [22,] "Q4b_strom_musikk, %" "72" "39" "80" "76" "38" "64" "65"
## [23,] "Q4c_papiravis_abo, %" "14" "50" "40" "24" "63" "80" "50"
## [24,] "Q4d_papiravis_kjop, %" "3" "16" "4" "8" "15" "24" "25"
## [25,] "Q4e_abo_dig_avis, %" "38" "54" "75" "53" "72" "76" "65"
## [26,] "Q4f_blader_magasiner, %" "25" "38" "37" "29" "48" "52" "25"
## [27,] "Q4g_tidsskrift, %" "10" "9" "15" "16" "18" "36" "50"
## [28,] "Q4h_ingen, %" "0" "0" "0" "0" "0" "0" "0"
## [29,] "Q5a_strom_film_TV, %" "60" "32" "60" "82" "25" "48" "65"
## [30,] "Q5b_strom_musikk, %" "60" "27" "52" "68" "18" "56" "30"
## [31,] "Q5c_abo_papiravis, %" "12" "50" "39" "21" "62" "76" "55"
## [32,] "Q5d_kjop_papiravis, %" "3" "14" "2" "5" "15" "16" "20"
## [33,] "Q5e_abo_dig_avis, %" "28" "55" "68" "53" "68" "72" "55"
## [34,] "Q5f_blader_magasiner, %" "25" "32" "20" "21" "40" "48" "25"
## [35,] "Q5g_tidsskrift, %" "10" "5" "9" "5" "13" "28" "40"
## [36,] "Q5h_ingen, %" "7" "2" "2" "3" "0" "0" "0"
## [37,] "Q6a_papiravis, %" "" "" "" "" "" "" ""
## [38,] " 5 dager eller mer" "6" "39" "29" "3" "50" "52" "40"
## [39,] " 3-4 dager" "4" "16" "13" "13" "10" "4" "20"
## [40,] " 1-2 dager" "18" "21" "12" "29" "10" "36" "10"
## [41,] " Sjeldnere" "49" "20" "32" "42" "22" "8" "15"
## [42,] " Aldri" "24" "4" "14" "13" "8" "0" "15"
## [43,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [44,] "Q6b_nettavis, %" "" "" "" "" "" "" ""
## [45,] " 5 dager eller mer" "78" "68" "86" "89" "68" "64" "65"
## [46,] " 3-4 dager" "10" "20" "6" "8" "15" "24" "25"
## [47,] " 1-2 dager" "7" "9" "4" "0" "12" "8" "10"
## [48,] " Sjeldnere" "4" "4" "3" "0" "5" "4" "0"
## [49,] " Aldri" "1" "0" "0" "3" "0" "0" "0"
## [50,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [51,] "Q6c_nyhetsnettsteder, %" "" "" "" "" "" "" ""
## [52,] " 5 dager eller mer" "35" "34" "58" "39" "60" "44" "65"
## [53,] " 3-4 dager" "17" "27" "19" "32" "15" "28" "15"
## [54,] " 1-2 dager" "24" "21" "13" "18" "15" "12" "10"
## [55,] " Sjeldnere" "22" "14" "9" "11" "10" "16" "10"
## [56,] " Aldri" "3" "4" "1" "0" "0" "0" "0"
## [57,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [58,] "Q6d_TVdirekte, %" "" "" "" "" "" "" ""
## [59,] " 5 dager eller mer" "49" "82" "61" "24" "92" "52" "50"
## [60,] " 3-4 dager" "17" "7" "18" "26" "2" "28" "25"
## [61,] " 1-2 dager" "14" "4" "11" "26" "2" "8" "10"
## [62,] " Sjeldnere" "17" "7" "10" "18" "3" "12" "15"
## [63,] " Aldri" "4" "0" "0" "5" "2" "0" "0"
## [64,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [65,] "Q6e_TVopptak, %" "" "" "" "" "" "" ""
## [66,] " 5 dager eller mer" "40" "7" "25" "45" "20" "16" "30"
## [67,] " 3-4 dager" "22" "21" "25" "21" "15" "24" "20"
## [68,] " 1-2 dager" "22" "23" "23" "21" "23" "28" "20"
## [69,] " Sjeldnere" "12" "30" "25" "8" "23" "32" "30"
## [70,] " Aldri" "3" "18" "3" "5" "18" "0" "0"
## [71,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [72,] "Q6f_radio_direkte, %" "" "" "" "" "" "" ""
## [73,] " 5 dager eller mer" "35" "68" "59" "26" "58" "60" "45"
## [74,] " 3-4 dager" "19" "12" "20" "13" "20" "24" "15"
## [75,] " 1-2 dager" "21" "7" "13" "16" "10" "16" "15"
## [76,] " Sjeldnere" "24" "12" "8" "42" "10" "0" "25"
## [77,] " Aldri" "1" "0" "0" "3" "2" "0" "0"
## [78,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [79,] "Q6g_radio_opptak, %" "" "" "" "" "" "" ""
## [80,] " 5 dager eller mer" "8" "0" "5" "8" "3" "0" "15"
## [81,] " 3-4 dager" "3" "7" "4" "8" "3" "8" "5"
## [82,] " 1-2 dager" "10" "7" "11" "16" "7" "12" "10"
## [83,] " Sjeldnere" "50" "30" "41" "34" "40" "52" "50"
## [84,] " Aldri" "29" "55" "39" "34" "47" "28" "20"
## [85,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [86,] "Q6h_sos_medier, %" "" "" "" "" "" "" ""
## [87,] " 5 dager eller mer" "82" "68" "77" "92" "58" "72" "90"
## [88,] " 3-4 dager" "8" "16" "6" "0" "15" "16" "10"
## [89,] " 1-2 dager" "6" "5" "11" "5" "18" "8" "0"
## [90,] " Sjeldnere" "4" "11" "5" "3" "8" "4" "0"
## [91,] " Aldri" "0" "0" "0" "0" "0" "0" "0"
## [92,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [93,] "Q6i_dataspill, %" "" "" "" "" "" "" ""
## [94,] " 5 dager eller mer" "22" "16" "18" "24" "8" "8" "10"
## [95,] " 3-4 dager" "11" "4" "6" "8" "3" "4" "20"
## [96,] " 1-2 dager" "7" "0" "3" "13" "3" "0" "5"
## [97,] " Sjeldnere" "33" "21" "28" "18" "17" "36" "30"
## [98,] " Aldri" "26" "59" "44" "37" "68" "52" "35"
## [99,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [100,] "Q6j_skjonnlitteratur, %" "" "" "" "" "" "" ""
## [101,] " 5 dager eller mer" "10" "23" "14" "16" "27" "28" "5"
## [102,] " 3-4 dager" "8" "16" "17" "13" "5" "40" "25"
## [103,] " 1-2 dager" "15" "21" "14" "32" "12" "20" "30"
## [104,] " Sjeldnere" "42" "30" "47" "39" "47" "12" "30"
## [105,] " Aldri" "25" "9" "8" "0" "10" "0" "10"
## [106,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [107,] "Q6k_faglitteratur, %" "" "" "" "" "" "" ""
## [108,] " 5 dager eller mer" "3" "2" "2" "13" "2" "4" "15"
## [109,] " 3-4 dager" "6" "0" "3" "5" "0" "20" "20"
## [110,] " 1-2 dager" "11" "12" "17" "26" "12" "24" "25"
## [111,] " Sjeldnere" "54" "68" "70" "45" "62" "52" "40"
## [112,] " Aldri" "26" "18" "8" "11" "25" "0" "0"
## [113,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [114,] "Q6l_musikk, %" "" "" "" "" "" "" ""
## [115,] " 5 dager eller mer" "51" "45" "55" "61" "47" "48" "35"
## [116,] " 3-4 dager" "17" "16" "19" "11" "18" "28" "30"
## [117,] " 1-2 dager" "21" "14" "20" "21" "20" "20" "30"
## [118,] " Sjeldnere" "11" "23" "5" "8" "15" "4" "5"
## [119,] " Aldri" "0" "2" "0" "0" "0" "0" "0"
## [120,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [121,] "Q6m_film, %" "" "" "" "" "" "" ""
## [122,] " 5 dager eller mer" "19" "9" "5" "3" "10" "0" "10"
## [123,] " 3-4 dager" "14" "9" "15" "24" "15" "16" "25"
## [124,] " 1-2 dager" "38" "36" "40" "42" "27" "44" "40"
## [125,] " Sjeldnere" "26" "43" "40" "32" "45" "40" "20"
## [126,] " Aldri" "3" "4" "0" "0" "3" "0" "5"
## [127,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [128,] "Q6n_TVserie, %" "" "" "" "" "" "" ""
## [129,] " 5 dager eller mer" "36" "12" "15" "42" "17" "12" "30"
## [130,] " 3-4 dager" "28" "39" "34" "32" "33" "28" "25"
## [131,] " 1-2 dager" "28" "38" "39" "21" "33" "48" "40"
## [132,] " Sjeldnere" "8" "11" "12" "5" "17" "12" "5"
## [133,] " Aldri" "0" "0" "0" "0" "0" "0" "0"
## [134,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [135,] "Q6o_nyheterTV, %" "" "" "" "" "" "" ""
## [136,] " 5 dager eller mer" "35" "93" "60" "26" "93" "68" "50"
## [137,] " 3-4 dager" "28" "5" "23" "26" "7" "20" "20"
## [138,] " 1-2 dager" "12" "2" "12" "26" "0" "4" "15"
## [139,] " Sjeldnere" "19" "0" "5" "18" "0" "8" "15"
## [140,] " Aldri" "6" "0" "0" "3" "0" "0" "0"
## [141,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [142,] "Q6p_nyheter_radio, %" "" "" "" "" "" "" ""
## [143,] " 5 dager eller mer" "26" "77" "63" "21" "58" "64" "35"
## [144,] " 3-4 dager" "17" "5" "12" "13" "17" "16" "25"
## [145,] " 1-2 dager" "19" "5" "15" "21" "10" "20" "10"
## [146,] " Sjeldnere" "32" "9" "9" "39" "15" "0" "30"
## [147,] " Aldri" "6" "4" "1" "5" "0" "0" "0"
## [148,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [149,] "Q7a_disponere_fritid, %" "" "" "" "" "" "" ""
## [150,] " 5 dager eller mer" "58" "82" "59" "50" "85" "56" "75"
## [151,] " 3-4 dager" "17" "9" "20" "26" "8" "36" "5"
## [152,] " 1-2 dager" "17" "5" "17" "13" "5" "8" "15"
## [153,] " Sjeldnere" "8" "4" "3" "5" "2" "0" "5"
## [154,] " Aldri" "0" "0" "0" "5" "0" "0" "0"
## [155,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [156,] "Q7b_hjemme, %" "" "" "" "" "" "" ""
## [157,] " 5 dager eller mer" "51" "46" "28" "39" "52" "28" "20"
## [158,] " 3-4 dager" "32" "46" "59" "47" "42" "40" "60"
## [159,] " 1-2 dager" "12" "4" "13" "13" "5" "32" "15"
## [160,] " Sjeldnere" "3" "4" "0" "0" "2" "0" "5"
## [161,] " Aldri" "1" "0" "0" "0" "0" "0" "0"
## [162,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [163,] "Q7c_besok, %" "" "" "" "" "" "" ""
## [164,] " 5 dager eller mer" "4" "0" "1" "0" "2" "0" "0"
## [165,] " 3-4 dager" "6" "5" "4" "13" "5" "4" "5"
## [166,] " 1-2 dager" "43" "57" "51" "55" "43" "76" "75"
## [167,] " Sjeldnere" "44" "38" "44" "32" "50" "20" "20"
## [168,] " Aldri" "3" "0" "0" "0" "0" "0" "0"
## [169,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [170,] "Q7d_nabo_snakk, %" "" "" "" "" "" "" ""
## [171,] " 5 dager eller mer" "8" "7" "2" "0" "10" "0" "0"
## [172,] " 3-4 dager" "7" "23" "12" "11" "32" "36" "15"
## [173,] " 1-2 dager" "29" "43" "38" "32" "28" "44" "40"
## [174,] " Sjeldnere" "53" "27" "47" "53" "30" "20" "40"
## [175,] " Aldri" "3" "0" "1" "5" "0" "0" "5"
## [176,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [177,] "Q7e_ute_venner, %" "" "" "" "" "" "" ""
## [178,] " 5 dager eller mer" "3" "0" "0" "0" "0" "0" "0"
## [179,] " 3-4 dager" "3" "4" "1" "5" "3" "0" "5"
## [180,] " 1-2 dager" "22" "29" "25" "42" "20" "40" "55"
## [181,] " Sjeldnere" "65" "64" "72" "53" "75" "60" "40"
## [182,] " Aldri" "7" "4" "2" "0" "2" "0" "0"
## [183,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [184,] "Q7f_middag_ute, %" "" "" "" "" "" "" ""
## [185,] " 5 dager eller mer" "1" "0" "0" "0" "0" "0" "0"
## [186,] " 3-4 dager" "0" "0" "0" "0" "0" "0" "10"
## [187,] " 1-2 dager" "8" "2" "10" "18" "2" "12" "15"
## [188,] " Sjeldnere" "82" "93" "88" "79" "93" "88" "70"
## [189,] " Aldri" "8" "5" "2" "3" "5" "0" "5"
## [190,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [191,] "Q7g_overtid, %" "" "" "" "" "" "" ""
## [192,] " 5 dager eller mer" "4" "0" "4" "0" "2" "0" "0"
## [193,] " 3-4 dager" "7" "2" "11" "8" "2" "8" "5"
## [194,] " 1-2 dager" "19" "11" "24" "29" "8" "16" "35"
## [195,] " Sjeldnere" "46" "25" "52" "45" "15" "40" "35"
## [196,] " Aldri" "24" "62" "10" "18" "73" "36" "25"
## [197,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [198,] "Q7h_barn_aktivitet, %" "" "" "" "" "" "" ""
## [199,] " 5 dager eller mer" "1" "2" "3" "0" "0" "4" "5"
## [200,] " 3-4 dager" "7" "0" "10" "8" "0" "8" "10"
## [201,] " 1-2 dager" "18" "7" "13" "24" "10" "12" "5"
## [202,] " Sjeldnere" "31" "11" "25" "13" "22" "28" "20"
## [203,] " Aldri" "43" "80" "49" "55" "68" "48" "60"
## [204,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [205,] "Q7i_trener, %" "" "" "" "" "" "" ""
## [206,] " 5 dager eller mer" "7" "12" "8" "5" "7" "0" "5"
## [207,] " 3-4 dager" "14" "20" "19" "18" "17" "32" "20"
## [208,] " 1-2 dager" "40" "39" "23" "34" "30" "48" "30"
## [209,] " Sjeldnere" "22" "23" "43" "37" "30" "16" "35"
## [210,] " Aldri" "17" "5" "8" "5" "17" "4" "10"
## [211,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [212,] "Q7j_annen_fritidsaktivitet, %" "" "" "" "" "" "" ""
## [213,] " 5 dager eller mer" "1" "0" "0" "0" "0" "0" "0"
## [214,] " 3-4 dager" "0" "2" "0" "0" "2" "0" "10"
## [215,] " 1-2 dager" "3" "16" "5" "18" "8" "24" "30"
## [216,] " Sjeldnere" "38" "34" "23" "24" "28" "44" "50"
## [217,] " Aldri" "58" "48" "72" "58" "62" "32" "10"
## [218,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [219,] "Q8a_snakker, %" "64" "79" "85" "71" "75" "68" "80"
## [220,] "Q8b_teksmelding_chat, %" "90" "86" "99" "97" "90" "100" "95"
## [221,] "Q8c_epost, %" "81" "68" "90" "89" "70" "84" "80"
## [222,] "Q8d_kalender, %" "57" "46" "77" "79" "43" "84" "65"
## [223,] "Q8e_bilder_video, %" "64" "55" "63" "74" "53" "64" "80"
## [224,] "Q8f_sos_medier, %" "83" "75" "86" "92" "60" "80" "90"
## [225,] "Q8g_nyheter, %" "68" "59" "77" "95" "62" "60" "70"
## [226,] "Q8h_kultur_underholdning, %" "44" "14" "49" "74" "27" "48" "45"
## [227,] "Q8i_praktiske_formal, %" "68" "52" "72" "92" "62" "76" "80"
## [228,] "Q8j_ingen, %" "0" "0" "0" "0" "0" "0" "0"
## [229,] "Q9a_alltid_tilgjengelig, %" "" "" "" "" "" "" ""
## [230,] " Stemmer helt" "76" "62" "85" "74" "65" "68" "85"
## [231,] " Stemmer delvis" "21" "32" "14" "26" "32" "28" "15"
## [232,] " Stemmer ikke" "3" "5" "1" "0" "3" "4" "0"
## [233,] " Usikker" "0" "0" "0" "0" "0" "0" "0"
## [234,] "Q9b_smarttelefon_viktigere, %" "" "" "" "" "" "" ""
## [235,] " Stemmer helt" "58" "46" "51" "58" "43" "40" "45"
## [236,] " Stemmer delvis" "31" "36" "44" "32" "43" "48" "45"
## [237,] " Stemmer ikke" "11" "16" "5" "11" "12" "12" "10"
## [238,] " Usikker" "0" "2" "0" "0" "2" "0" "0"
## [239,] "Q9c_irritert, %" "" "" "" "" "" "" ""
## [240,] " Stemmer helt" "32" "32" "30" "34" "37" "24" "35"
## [241,] " Stemmer delvis" "38" "48" "47" "53" "45" "60" "45"
## [242,] " Stemmer ikke" "28" "18" "23" "13" "18" "16" "20"
## [243,] " Usikker" "3" "2" "0" "0" "0" "0" "0"
## [244,] "Q9d_bekymret, %" "" "" "" "" "" "" ""
## [245,] " Stemmer helt" "31" "39" "29" "32" "38" "36" "35"
## [246,] " Stemmer delvis" "51" "43" "52" "47" "53" "48" "50"
## [247,] " Stemmer ikke" "14" "14" "17" "13" "3" "16" "15"
## [248,] " Usikker" "4" "4" "2" "8" "5" "0" "0"
## [249,] "Q9e_vil_bruke_mindre, %" "" "" "" "" "" "" ""
## [250,] " Stemmer helt" "25" "5" "18" "37" "8" "4" "35"
## [251,] " Stemmer delvis" "39" "43" "49" "39" "37" "56" "35"
## [252,] " Stemmer ikke" "35" "50" "31" "24" "53" "36" "30"
## [253,] " Usikker" "1" "2" "1" "0" "2" "4" "0"
## [254,] "Q10a_bruker_mer, %" "64" "84" "78" "79" "75" "84" "75"
## [255,] "Q10b_bruker_mindre, %" "12" "5" "5" "8" "7" "4" "5"
## [256,] "Q10c_mer_nyheter, %" "38" "54" "56" "63" "58" "56" "50"
## [257,] "Q10d_mindre_nyheter, %" "19" "16" "5" "13" "7" "0" "5"
## [258,] "Q10e_deler_mer_sosmedia, %" "28" "39" "34" "16" "42" "40" "45"
## [259,] "Q10f_deler_mindre_sosmedier, %" "28" "23" "29" "53" "18" "28" "25"
## [260,] "Q10g_papiravis_abo_sluttet, %" "35" "41" "44" "32" "33" "24" "15"
## [261,] "Q10h_nettavis_abo_begynt, %" "18" "34" "39" "26" "45" "52" "50"
## [262,] "Q10i_ny_tilgang, %" "36" "27" "53" "53" "42" "60" "85"
## [263,] "Q10j_alternative_nyheter_oftere, %" "21" "20" "22" "16" "30" "36" "40"
## [264,] "Q10k_mer_interessert_lokalmiljo, %" "29" "27" "23" "39" "28" "24" "35"
## [265,] "Q10l_mer_familiepavirkning_medie, %" "12" "20" "17" "32" "8" "8" "10"
## [266,] "Q10m_minde_tid_fordyping, %" "17" "4" "15" "26" "3" "12" "10"
## [267,] "Q11_1_utenriksnyheter, %" "46" "57" "81" "87" "88" "88" "80"
## [268,] "Q11_2_innenriksnyheter, %" "67" "86" "89" "95" "100" "100" "95"
## [269,] "Q11_3_lokalnyheter_region_fylke, %" "60" "84" "71" "66" "77" "72" "45"
## [270,] "Q11_4_lokalnyheter_by_kom, %" "71" "86" "80" "76" "90" "80" "75"
## [271,] "Q11_5_nyheter_hjemkommune_hjemla, %" "25" "32" "35" "37" "20" "24" "25"
## [272,] "Q11_6_ledere_kommentarer, %" "7" "27" "28" "24" "57" "56" "70"
## [273,] "Q11_7_leserinnlegg_debatt_kronik, %" "15" "41" "31" "55" "67" "64" "75"
## [274,] "Q11_8_portrettintervjuer, %" "7" "30" "29" "58" "35" "48" "40"
## [275,] "Q11_9_politikk_andre_land, %" "3" "16" "42" "42" "57" "68" "75"
## [276,] "Q11_10_nasjonal_politikk, %" "12" "30" "66" "58" "78" "76" "85"
## [277,] "Q11_11_lokalpolitikk, %" "18" "64" "55" "32" "82" "76" "80"
## [278,] "Q11_12_kriminalstoff, %" "35" "16" "37" "53" "40" "36" "15"
## [279,] "Q11_13_neringslivstoff, %" "17" "18" "57" "13" "58" "40" "45"
## [280,] "Q11_14_ingen_1_13, %" "0" "0" "0" "0" "0" "0" "5"
## [281,] "Q11_15_vet_ikke_1_13, %" "1" "0" "0" "0" "0" "0" "0"
## [282,] "Q11_16_sport, %" "33" "52" "65" "21" "60" "40" "40"
## [283,] "Q11_17_sosialomsorg, %" "6" "34" "13" "53" "35" "36" "35"
## [284,] "Q11_18_fattigdom_utviklingsland, %" "1" "12" "13" "29" "28" "40" "30"
## [285,] "Q11_19_natur_miljovern, %" "18" "21" "29" "61" "43" "64" "45"
## [286,] "Q11_20_kulturanmeldelser, %" "36" "38" "39" "71" "30" "72" "30"
## [287,] "Q11_21_kjendiser_, %" "25" "41" "19" "39" "23" "16" "15"
## [288,] "Q11_22_konge_kongehus, %" "8" "27" "10" "29" "22" "12" "10"
## [289,] "Q11_23_livsstil_, %" "18" "27" "18" "50" "20" "44" "25"
## [290,] "Q11_24_samliv_helse_relasjoner, %" "22" "48" "25" "71" "38" "48" "45"
## [291,] "Q11_25_uteliv_trender, %" "12" "14" "18" "21" "13" "32" "15"
## [292,] "Q11_26_okonomitips, %" "19" "30" "48" "47" "47" "44" "35"
## [293,] "Q11_27_bil_motor, %" "33" "18" "30" "0" "53" "16" "40"
## [294,] "Q11_28_data_ny_teknologi, %" "42" "21" "39" "24" "42" "36" "50"
## [295,] "Q11_29_ingen_16_28, %" "4" "5" "3" "3" "2" "0" "0"
## [296,] "Q11_30_vet_ikke_16_28, %" "4" "0" "2" "3" "0" "0" "0"
## [297,] "Q13a_TVserie, %" "40" "45" "39" "55" "47" "44" "30"
## [298,] "Q13b_film, %" "40" "41" "57" "68" "50" "52" "60"
## [299,] "Q13c_teater_revy, %" "12" "41" "48" "53" "38" "64" "50"
## [300,] "Q13d_kunst_utstilling, %" "8" "25" "18" "26" "23" "44" "25"
## [301,] "Q13e_kunstnere_trad_norsk, %" "1" "14" "5" "11" "18" "24" "20"
## [302,] "Q13f_kunstnere_samtid, %" "1" "5" "6" "13" "13" "32" "15"
## [303,] "Q13g_litteratur_krim_spenning, %" "26" "45" "39" "37" "43" "56" "15"
## [304,] "Q13h_litteratur_samtid, %" "0" "12" "9" "37" "15" "36" "20"
## [305,] "Q13i_litteratur_biografier, %" "6" "32" "24" "32" "33" "32" "30"
## [306,] "Q13j_musikk_folk, %" "1" "7" "5" "8" "13" "24" "10"
## [307,] "Q13k_musikk_klassisk, %" "3" "16" "14" "8" "22" "40" "10"
## [308,] "Q13l_musikk_hiphop, %" "4" "4" "10" "29" "3" "8" "5"
## [309,] "Q13m_musikk_salsa_reggae, %" "3" "5" "3" "5" "20" "16" "0"
## [310,] "Q13n_musikk_dansband, %" "4" "14" "2" "0" "10" "4" "0"
## [311,] "Q13o_musikk_populer, %" "19" "23" "16" "26" "23" "20" "20"
## [312,] "Q13p_ingen, %" "24" "16" "10" "8" "13" "8" "20"
## [313,] "Q13q_vet_ikke, %" "10" "0" "3" "3" "2" "0" "0"
## [314,] "Q14a_Adresseavisen, %" "10" "12" "8" "13" "12" "4" "5"
## [315,] "Q14b_Aftenposten, %" "26" "14" "34" "53" "48" "60" "65"
## [316,] "Q14c_BergensTidende, %" "8" "11" "15" "18" "8" "8" "10"
## [317,] "Q14d_Dag_og_Tid, %" "0" "0" "0" "0" "2" "4" "0"
## [318,] "Q14e_Dagbladet, %" "43" "39" "46" "71" "37" "48" "30"
## [319,] "Q14f_Dagen, %" "1" "4" "0" "0" "2" "0" "5"
## [320,] "Q14g_DagensNeringsliv, %" "15" "12" "23" "11" "20" "20" "30"
## [321,] "Q14h_Dagsavisen, %" "4" "4" "1" "3" "3" "12" "5"
## [322,] "Q14i_Fedrelandsvennen, %" "1" "4" "0" "3" "0" "4" "10"
## [323,] "Q14j_Klassekampen, %" "4" "2" "2" "11" "7" "28" "30"
## [324,] "Q14k_Morgenbladet, %" "1" "0" "1" "11" "0" "8" "20"
## [325,] "Q14l_Nettavisen, %" "25" "18" "28" "18" "25" "16" "25"
## [326,] "Q14m_Nationen, %" "0" "0" "2" "0" "3" "4" "0"
## [327,] "Q14n_Nordlys, %" "6" "0" "2" "8" "5" "0" "0"
## [328,] "Q14o_StavangerAftenblad, %" "7" "7" "11" "5" "0" "16" "5"
## [329,] "Q14p_VG, %" "64" "64" "70" "79" "63" "60" "40"
## [330,] "Q14q_VartLand, %" "0" "2" "0" "5" "2" "0" "0"
## [331,] "Q14r_norske_aviser_annet, %" "47" "59" "61" "32" "63" "20" "45"
## [332,] "Q14s_utenlandske_aviser, %" "4" "2" "13" "0" "5" "16" "5"
## [333,] "Q14t_avis_ingen, %" "12" "11" "3" "0" "7" "0" "0"
## [334,] "Q14u_avis_vet_ikke, %" "0" "0" "0" "0" "0" "0" "5"
## [335,] "Q14v_nettside_NRK, %" "49" "57" "66" "74" "60" "76" "70"
## [336,] "Q14w_nettside_P4, %" "8" "5" "4" "5" "2" "0" "5"
## [337,] "Q14x_nettside_TV2, %" "40" "38" "49" "42" "40" "52" "35"
## [338,] "Q14y_nettside_ABCnyheter, %" "10" "21" "8" "13" "25" "8" "5"
## [339,] "Q14a_nettside_Sol_no, %" "12" "12" "9" "13" "10" "8" "5"
## [340,] "Q14b_nettside_AlJazeeras, %" "0" "0" "1" "0" "5" "0" "10"
## [341,] "Q14c_nettside_BBC, %" "6" "4" "8" "16" "2" "12" "15"
## [342,] "Q14d_nettside_BuzzFeed, %" "0" "0" "1" "11" "0" "0" "5"
## [343,] "Q14e_nettside_CNN, %" "1" "2" "8" "5" "8" "8" "10"
## [344,] "Q14f_nettside_GoogleNews, %" "4" "7" "5" "0" "5" "4" "5"
## [345,] "Q14g_nettside_TheGuardian, %" "4" "0" "9" "8" "2" "12" "5"
## [346,] "Q14h_nettside_HuffingtonPost, %" "0" "0" "6" "11" "5" "12" "0"
## [347,] "Q14i_nettside_NewYorkTimes_, %" "1" "2" "9" "3" "3" "20" "0"
## [348,] "Q14j_nettside_ingen, %" "35" "30" "22" "8" "23" "16" "15"
## [349,] "Q16a_LokalTV, %" "11" "36" "13" "3" "28" "20" "10"
## [350,] "Q16b_NRK1, %" "74" "98" "95" "66" "100" "84" "75"
## [351,] "Q16c_NRK2, %" "38" "64" "53" "29" "80" "48" "45"
## [352,] "Q16d_NRK3, %" "26" "18" "27" "24" "27" "12" "10"
## [353,] "Q16e_NRKSuper, %" "22" "12" "14" "21" "12" "16" "5"
## [354,] "Q16f_NRK_NettTV, %" "29" "11" "18" "42" "18" "32" "45"
## [355,] "Q16g_TV2, %" "74" "82" "88" "68" "93" "68" "55"
## [356,] "Q16h_TV2_Zebra, %" "31" "25" "26" "11" "23" "12" "15"
## [357,] "Q16i_TV_2_Nyhetskanalen, %" "24" "48" "37" "21" "57" "28" "25"
## [358,] "Q16j_TV_2_Humor, %" "11" "9" "5" "11" "7" "0" "20"
## [359,] "Q16k_TV_2_Livsstil, %" "12" "12" "4" "11" "10" "4" "5"
## [360,] "Q16l_TV_2_Sport, %" "12" "16" "24" "5" "27" "16" "25"
## [361,] "Q16m_TV_2_Sumo, %" "15" "16" "16" "18" "10" "24" "15"
## [362,] "Q16n_TVNorge, %" "65" "57" "71" "47" "72" "32" "20"
## [363,] "Q16o_FEM, %" "24" "18" "20" "18" "22" "12" "10"
## [364,] "Q16p_Max, %" "36" "25" "40" "11" "47" "12" "15"
## [365,] "Q16q_TV3, %" "42" "34" "37" "26" "33" "16" "25"
## [366,] "Q16r_Viasat4, %" "31" "16" "29" "18" "20" "12" "20"
## [367,] "Q16s_Vox, %" "8" "18" "14" "8" "20" "12" "10"
## [368,] "Q16t_ingen, %" "6" "0" "1" "3" "0" "4" "10"
## [369,] "Q16u_vet_ikke, %" "0" "0" "0" "0" "0" "0" "0"
## [370,] "Q17a_Youtube, %" "64" "41" "49" "68" "32" "56" "55"
## [371,] "Q17b_Strommetjenester, %" "56" "20" "56" "82" "23" "44" "50"
## [372,] "Q17c_Svenske_tv_kanaler, %" "7" "14" "11" "3" "37" "12" "15"
## [373,] "Q17d_Danske_tv_kanaler, %" "4" "9" "4" "0" "13" "8" "10"
## [374,] "Q17e_Eurosport, %" "12" "21" "22" "0" "33" "20" "15"
## [375,] "Q17f_sportskanaler_andre, %" "8" "14" "11" "3" "22" "8" "15"
## [376,] "Q17g_MTV, %" "3" "2" "1" "0" "2" "0" "5"
## [377,] "Q17h_Discovery_Channel, %" "25" "18" "17" "16" "23" "16" "20"
## [378,] "Q17i_Animal_Planet, %" "10" "14" "6" "0" "15" "4" "10"
## [379,] "Q17j_TravelChannel, %" "3" "2" "0" "0" "15" "8" "15"
## [380,] "Q17k_National_Geographic_Channel, %" "18" "21" "16" "8" "27" "24" "20"
## [381,] "Q17l_BBC_World_News, %" "3" "12" "6" "0" "18" "4" "15"
## [382,] "Q17m_CNN, %" "3" "7" "4" "0" "25" "12" "10"
## [383,] "Q17n_TCM, %" "0" "0" "1" "3" "3" "0" "5"
## [384,] "Q17o_ingen, %" "10" "30" "11" "5" "20" "8" "15"
## [385,] "Q17p_vet_ikke, %" "0" "2" "0" "0" "0" "0" "0"
## [386,] "Q18a_NRK_P1, %" "21" "80" "47" "16" "72" "64" "40"
## [387,] "Q18b_NRK_P2, %" "1" "16" "13" "11" "20" "32" "35"
## [388,] "Q18c_NRK_P3, %" "14" "2" "17" "29" "10" "20" "5"
## [389,] "Q18d_NRK_P13, %" "8" "9" "6" "5" "17" "12" "20"
## [390,] "Q18e_NRK_Alltid_Nyheter, %" "1" "7" "16" "5" "18" "12" "20"
## [391,] "Q18f_NRK_Alltid_Klassisk, %" "3" "4" "3" "0" "7" "12" "10"
## [392,] "Q18g_Nerradiosendinger_ikke_NRK, %" "8" "2" "9" "5" "7" "0" "5"
## [393,] "Q18h_Radio_P4, %" "35" "23" "44" "13" "38" "28" "20"
## [394,] "Q18i_Radio_Norge, %" "22" "20" "19" "3" "22" "20" "15"
## [395,] "Q18j_norske_radiokanaler_annet, %" "40" "21" "42" "29" "23" "32" "20"
## [396,] "Q18k_utenlandske_radiokanaler, %" "4" "2" "0" "3" "5" "4" "5"
## [397,] "Q18l_ingen, %" "10" "4" "5" "26" "3" "4" "10"
## [398,] "Q18m_vet_ikke, %" "0" "4" "0" "0" "0" "0" "0"
## [399,] "Q19viktigste_nyhetskilde, %" "" "" "" "" "" "" ""
## [400,] " Nyhetsprogrammer eller sendinger på TV" "15" "55" "25" "11" "35" "32" "20"
## [401,] " Nyhetssendinger eller -programmer på radio" "12" "11" "5" "3" "7" "4" "10"
## [402,] " Papiraviser" "4" "2" "3" "0" "13" "28" "10"
## [403,] " Nettaviser/apper/e-aviser: betalt" "10" "14" "11" "16" "10" "12" "10"
## [404,] " Nettaviser/apper/e-aviser: gratis" "44" "12" "52" "55" "18" "20" "40"
## [405,] " Sosiale medier som Facebook, Twitter, Snapchat" "12" "4" "2" "11" "7" "4" "10"
## [406,] " Snakke med folk" "1" "2" "2" "3" "8" "0" "0"
## [407,] " Andre kilder" "0" "0" "0" "3" "2" "0" "0"
## [408,] " Følger ikke nyheter" "0" "0" "0" "0" "0" "0" "0"
## [409,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [410,] "Q21a_gudstjeneste_religiost, %" "" "" "" "" "" "" ""
## [411,] " 10 eller flere ganger" "1" "5" "1" "13" "5" "8" "5"
## [412,] " 4-9 ganger" "1" "9" "4" "11" "5" "8" "5"
## [413,] " 1-3 ganger" "21" "29" "30" "18" "20" "12" "25"
## [414,] " Sjeldnere" "24" "18" "20" "3" "22" "28" "15"
## [415,] " Aldri" "53" "39" "44" "55" "48" "44" "50"
## [416,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [417,] "Q21b_kino, %" "" "" "" "" "" "" ""
## [418,] " 10 eller flere ganger" "1" "2" "1" "3" "0" "8" "10"
## [419,] " 4-9 ganger" "6" "7" "17" "39" "5" "20" "25"
## [420,] " 1-3 ganger" "44" "34" "42" "37" "30" "52" "50"
## [421,] " Sjeldnere" "24" "27" "25" "8" "37" "20" "5"
## [422,] " Aldri" "25" "30" "15" "13" "28" "0" "10"
## [423,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [424,] "Q21c_museum, %" "" "" "" "" "" "" ""
## [425,] " 10 eller flere ganger" "3" "2" "0" "0" "0" "0" "0"
## [426,] " 4-9 ganger" "1" "4" "5" "11" "3" "28" "20"
## [427,] " 1-3 ganger" "24" "32" "35" "45" "22" "48" "45"
## [428,] " Sjeldnere" "31" "25" "30" "13" "45" "12" "20"
## [429,] " Aldri" "42" "38" "29" "32" "30" "12" "15"
## [430,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [431,] "Q21d_kunstutstilling, %" "" "" "" "" "" "" ""
## [432,] " 10 eller flere ganger" "1" "0" "0" "0" "2" "4" "0"
## [433,] " 4-9 ganger" "1" "2" "4" "8" "3" "16" "10"
## [434,] " 1-3 ganger" "18" "25" "24" "39" "23" "36" "45"
## [435,] " Sjeldnere" "17" "32" "31" "8" "40" "28" "25"
## [436,] " Aldri" "62" "41" "41" "45" "32" "16" "20"
## [437,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [438,] "Q21e_teater_, %" "" "" "" "" "" "" ""
## [439,] " 10 eller flere ganger" "1" "0" "0" "3" "0" "0" "0"
## [440,] " 4-9 ganger" "0" "2" "4" "3" "5" "24" "15"
## [441,] " 1-3 ganger" "12" "41" "39" "50" "25" "56" "35"
## [442,] " Sjeldnere" "25" "29" "22" "11" "27" "12" "25"
## [443,] " Aldri" "61" "29" "35" "34" "43" "8" "25"
## [444,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [445,] "Q21f_revy_standup, %" "" "" "" "" "" "" ""
## [446,] " 10 eller flere ganger" "1" "0" "0" "0" "0" "0" "0"
## [447,] " 4-9 ganger" "1" "2" "0" "3" "2" "0" "0"
## [448,] " 1-3 ganger" "18" "34" "35" "39" "17" "32" "35"
## [449,] " Sjeldnere" "22" "36" "35" "18" "35" "36" "30"
## [450,] " Aldri" "57" "29" "29" "39" "47" "32" "35"
## [451,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [452,] "Q21g_konsert_klassisk, %" "" "" "" "" "" "" ""
## [453,] " 10 eller flere ganger" "1" "0" "0" "0" "0" "0" "0"
## [454,] " 4-9 ganger" "0" "0" "0" "0" "3" "4" "20"
## [455,] " 1-3 ganger" "4" "12" "10" "18" "12" "32" "15"
## [456,] " Sjeldnere" "15" "27" "34" "18" "32" "36" "30"
## [457,] " Aldri" "79" "61" "56" "63" "53" "28" "35"
## [458,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [459,] "Q21h_konsert_annen, %" "" "" "" "" "" "" ""
## [460,] " 10 eller flere ganger" "3" "2" "2" "3" "0" "0" "5"
## [461,] " 4-9 ganger" "3" "7" "9" "13" "5" "12" "15"
## [462,] " 1-3 ganger" "33" "21" "53" "50" "27" "36" "25"
## [463,] " Sjeldnere" "12" "29" "10" "11" "30" "36" "35"
## [464,] " Aldri" "49" "41" "27" "24" "38" "16" "20"
## [465,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [466,] "Q21i_festival_kunst_kultur, %" "" "" "" "" "" "" ""
## [467,] " 10 eller flere ganger" "1" "0" "0" "0" "0" "0" "5"
## [468,] " 4-9 ganger" "0" "2" "1" "5" "0" "4" "5"
## [469,] " 1-3 ganger" "15" "7" "19" "26" "8" "20" "40"
## [470,] " Sjeldnere" "18" "34" "25" "21" "32" "40" "15"
## [471,] " Aldri" "65" "57" "55" "47" "60" "36" "35"
## [472,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [473,] "Q21j_kulturarrangement_annet, %" "" "" "" "" "" "" ""
## [474,] " 10 eller flere ganger" "1" "0" "0" "0" "0" "4" "0"
## [475,] " 4-9 ganger" "0" "2" "1" "8" "0" "8" "10"
## [476,] " 1-3 ganger" "4" "20" "14" "34" "8" "40" "35"
## [477,] " Sjeldnere" "21" "34" "24" "13" "35" "32" "35"
## [478,] " Aldri" "74" "45" "61" "45" "57" "16" "20"
## [479,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [480,] "Q21k_idrettsarrangement, %" "" "" "" "" "" "" ""
## [481,] " 10 eller flere ganger" "10" "9" "24" "0" "10" "4" "25"
## [482,] " 4-9 ganger" "3" "5" "12" "8" "10" "36" "0"
## [483,] " 1-3 ganger" "22" "20" "22" "39" "18" "12" "25"
## [484,] " Sjeldnere" "18" "30" "18" "16" "27" "16" "20"
## [485,] " Aldri" "47" "36" "25" "37" "35" "32" "30"
## [486,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [487,] "Q21l_bibliotek, %" "" "" "" "" "" "" ""
## [488,] " 10 eller flere ganger" "11" "29" "6" "29" "13" "12" "20"
## [489,] " 4-9 ganger" "4" "9" "3" "18" "12" "28" "25"
## [490,] " 1-3 ganger" "19" "27" "24" "16" "15" "28" "40"
## [491,] " Sjeldnere" "15" "12" "33" "16" "30" "24" "10"
## [492,] " Aldri" "50" "23" "33" "21" "30" "8" "5"
## [493,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [494,] "Q21m_messe, %" "" "" "" "" "" "" ""
## [495,] " 10 eller flere ganger" "1" "0" "0" "0" "2" "0" "5"
## [496,] " 4-9 ganger" "0" "2" "1" "0" "0" "4" "15"
## [497,] " 1-3 ganger" "25" "30" "30" "39" "22" "36" "25"
## [498,] " Sjeldnere" "26" "43" "25" "24" "43" "32" "20"
## [499,] " Aldri" "47" "25" "44" "37" "33" "28" "35"
## [500,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [501,] "Q21n_chartertur, %" "" "" "" "" "" "" ""
## [502,] " 10 eller flere ganger" "1" "0" "0" "0" "0" "0" "0"
## [503,] " 4-9 ganger" "0" "0" "1" "0" "2" "4" "5"
## [504,] " 1-3 ganger" "26" "30" "35" "18" "42" "12" "35"
## [505,] " Sjeldnere" "18" "36" "15" "21" "25" "28" "15"
## [506,] " Aldri" "54" "34" "48" "61" "32" "56" "45"
## [507,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [508,] "Q21o_reise, %" "" "" "" "" "" "" ""
## [509,] " 10 eller flere ganger" "4" "0" "0" "0" "2" "4" "15"
## [510,] " 4-9 ganger" "3" "5" "27" "5" "5" "12" "20"
## [511,] " 1-3 ganger" "47" "64" "45" "74" "50" "56" "60"
## [512,] " Sjeldnere" "7" "16" "12" "3" "15" "16" "0"
## [513,] " Aldri" "39" "14" "16" "18" "28" "12" "5"
## [514,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [515,] "Q21p_dugnad, %" "" "" "" "" "" "" ""
## [516,] " 10 eller flere ganger" "6" "4" "6" "5" "5" "4" "10"
## [517,] " 4-9 ganger" "1" "7" "12" "8" "7" "28" "15"
## [518,] " 1-3 ganger" "28" "46" "32" "47" "48" "32" "50"
## [519,] " Sjeldnere" "19" "16" "15" "11" "18" "32" "15"
## [520,] " Aldri" "46" "27" "34" "29" "22" "4" "10"
## [521,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [522,] "Q22a_Dagsreveyen, %" "" "" "" "" "" "" ""
## [523,] " Har ikke sett" "4" "0" "0" "0" "0" "0" "0"
## [524,] " Liker godt" "57" "84" "83" "74" "92" "84" "70"
## [525,] " Verken liker eller misliker" "32" "14" "16" "26" "8" "16" "25"
## [526,] " Liker ikke" "7" "2" "1" "0" "0" "0" "5"
## [527,] "Q22b_Distriksnyheter, %" "" "" "" "" "" "" ""
## [528,] " Har ikke sett" "4" "0" "2" "5" "2" "8" "5"
## [529,] " Liker godt" "58" "91" "61" "50" "80" "64" "55"
## [530,] " Verken liker eller misliker" "31" "9" "32" "39" "17" "28" "40"
## [531,] " Liker ikke" "7" "0" "4" "5" "2" "0" "0"
## [532,] "Q22c_Dagsnytt_18, %" "" "" "" "" "" "" ""
## [533,] " Har ikke sett" "24" "21" "14" "21" "18" "16" "15"
## [534,] " Liker godt" "21" "41" "35" "29" "52" "56" "65"
## [535,] " Verken liker eller misliker" "46" "34" "48" "39" "30" "28" "20"
## [536,] " Liker ikke" "10" "4" "2" "11" "0" "0" "0"
## [537,] "Q22d_Debatten_NRK, %" "" "" "" "" "" "" ""
## [538,] " Har ikke sett" "26" "9" "15" "13" "7" "16" "10"
## [539,] " Liker godt" "12" "41" "24" "37" "45" "60" "60"
## [540,] " Verken liker eller misliker" "38" "41" "47" "32" "42" "24" "20"
## [541,] " Liker ikke" "24" "9" "14" "18" "7" "0" "10"
## [542,] "Q22e_TV2nyhetene, %" "" "" "" "" "" "" ""
## [543,] " Har ikke sett" "3" "4" "1" "0" "3" "8" "15"
## [544,] " Liker godt" "67" "73" "69" "58" "72" "60" "55"
## [545,] " Verken liker eller misliker" "22" "20" "24" "32" "20" "28" "30"
## [546,] " Liker ikke" "8" "4" "6" "11" "5" "4" "0"
## [547,] "Q22f_Urix, %" "" "" "" "" "" "" ""
## [548,] " Har ikke sett" "28" "14" "17" "26" "3" "4" "0"
## [549,] " Liker godt" "15" "39" "38" "42" "57" "68" "65"
## [550,] " Verken liker eller misliker" "44" "43" "42" "24" "40" "28" "35"
## [551,] " Liker ikke" "12" "4" "3" "8" "0" "0" "0"
## [552,] "Q22g_Brennpunkt, %" "" "" "" "" "" "" ""
## [553,] " Har ikke sett" "10" "5" "6" "16" "5" "8" "10"
## [554,] " Liker godt" "43" "54" "54" "63" "65" "68" "70"
## [555,] " Verken liker eller misliker" "40" "39" "37" "18" "28" "20" "15"
## [556,] " Liker ikke" "7" "2" "3" "3" "2" "4" "5"
## [557,] "Q22h_Nytt_pa_Nytt, %" "" "" "" "" "" "" ""
## [558,] " Har ikke sett" "7" "2" "4" "5" "3" "4" "5"
## [559,] " Liker godt" "57" "71" "65" "68" "62" "76" "65"
## [560,] " Verken liker eller misliker" "21" "20" "27" "13" "22" "4" "20"
## [561,] " Liker ikke" "15" "7" "4" "13" "13" "16" "10"
## [562,] "Q22i_Lindmo, %" "" "" "" "" "" "" ""
## [563,] " Har ikke sett" "18" "5" "8" "8" "5" "4" "20"
## [564,] " Liker godt" "31" "66" "47" "53" "45" "52" "45"
## [565,] " Verken liker eller misliker" "40" "27" "35" "32" "40" "44" "15"
## [566,] " Liker ikke" "11" "2" "10" "8" "10" "0" "20"
## [567,] "Q22j_Skavlan, %" "" "" "" "" "" "" ""
## [568,] " Har ikke sett" "8" "2" "4" "5" "5" "4" "10"
## [569,] " Liker godt" "32" "46" "39" "37" "48" "28" "40"
## [570,] " Verken liker eller misliker" "29" "30" "34" "37" "32" "52" "30"
## [571,] " Liker ikke" "31" "21" "23" "21" "15" "16" "20"
## [572,] "Q22k_Folkeopplysningen, %" "" "" "" "" "" "" ""
## [573,] " Har ikke sett" "32" "25" "44" "37" "30" "40" "35"
## [574,] " Liker godt" "26" "21" "23" "50" "15" "24" "40"
## [575,] " Verken liker eller misliker" "32" "48" "30" "11" "45" "32" "25"
## [576,] " Liker ikke" "10" "5" "3" "3" "10" "4" "0"
## [577,] "Q22l_Trygdekontoret, %" "" "" "" "" "" "" ""
## [578,] " Har ikke sett" "26" "29" "30" "45" "25" "28" "25"
## [579,] " Liker godt" "24" "9" "20" "26" "17" "24" "30"
## [580,] " Verken liker eller misliker" "35" "45" "39" "21" "35" "36" "35"
## [581,] " Liker ikke" "15" "18" "11" "8" "23" "12" "10"
## [582,] "Q22m_Stjernekamp, %" "" "" "" "" "" "" ""
## [583,] " Har ikke sett" "25" "20" "22" "32" "13" "28" "40"
## [584,] " Liker godt" "36" "50" "46" "29" "55" "52" "15"
## [585,] " Verken liker eller misliker" "25" "14" "26" "24" "23" "20" "35"
## [586,] " Liker ikke" "14" "16" "6" "16" "8" "0" "10"
## [587,] "Q22n_Farmen, %" "" "" "" "" "" "" ""
## [588,] " Har ikke sett" "15" "18" "19" "24" "23" "44" "30"
## [589,] " Liker godt" "51" "41" "32" "21" "37" "28" "15"
## [590,] " Verken liker eller misliker" "18" "27" "24" "32" "18" "20" "35"
## [591,] " Liker ikke" "15" "14" "25" "24" "22" "8" "20"
## [592,] "Q22o_Paradise_Hotel, %" "" "" "" "" "" "" ""
## [593,] " Har ikke sett" "22" "36" "33" "24" "33" "44" "35"
## [594,] " Liker godt" "4" "0" "2" "16" "3" "0" "15"
## [595,] " Verken liker eller misliker" "25" "9" "10" "11" "8" "8" "0"
## [596,] " Liker ikke" "49" "55" "55" "50" "55" "48" "50"
## [597,] "Q22p_Senkveld, %" "" "" "" "" "" "" ""
## [598,] " Har ikke sett" "8" "16" "13" "8" "12" "28" "25"
## [599,] " Liker godt" "40" "34" "27" "37" "38" "24" "20"
## [600,] " Verken liker eller misliker" "38" "36" "42" "29" "35" "40" "35"
## [601,] " Liker ikke" "14" "14" "18" "26" "15" "8" "20"
## [602,] "Q22q_Luksusfellen, %" "" "" "" "" "" "" ""
## [603,] " Har ikke sett" "14" "23" "20" "8" "25" "40" "20"
## [604,] " Liker godt" "32" "16" "19" "34" "17" "8" "35"
## [605,] " Verken liker eller misliker" "36" "46" "38" "32" "35" "36" "20"
## [606,] " Liker ikke" "18" "14" "23" "26" "23" "16" "25"
## [607,] "Q22r_andenes_makt, %" "" "" "" "" "" "" ""
## [608,] " Har ikke sett" "11" "27" "26" "13" "30" "28" "30"
## [609,] " Liker godt" "29" "18" "12" "24" "17" "4" "10"
## [610,] " Verken liker eller misliker" "25" "21" "22" "13" "27" "28" "25"
## [611,] " Liker ikke" "35" "34" "41" "50" "27" "40" "35"
## [612,] "Q22s_Ut_i_naturen, %" "" "" "" "" "" "" ""
## [613,] " Har ikke sett" "18" "4" "23" "29" "7" "16" "30"
## [614,] " Liker godt" "38" "59" "46" "39" "68" "60" "40"
## [615,] " Verken liker eller misliker" "38" "38" "29" "21" "25" "20" "25"
## [616,] " Liker ikke" "7" "0" "2" "11" "0" "4" "5"
## [617,] "Q22t_Fodeavdelingen, %" "" "" "" "" "" "" ""
## [618,] " Har ikke sett" "35" "39" "52" "26" "55" "60" "55"
## [619,] " Liker godt" "11" "5" "4" "21" "3" "0" "10"
## [620,] " Verken liker eller misliker" "29" "36" "22" "24" "23" "24" "25"
## [621,] " Liker ikke" "25" "20" "23" "29" "18" "16" "10"
## [622,] "Q22u_Deringenskulle, %" "" "" "" "" "" "" ""
## [623,] " Har ikke sett" "15" "5" "18" "24" "5" "12" "15"
## [624,] " Liker godt" "49" "73" "48" "50" "75" "64" "55"
## [625,] " Verken liker eller misliker" "32" "21" "26" "18" "20" "24" "30"
## [626,] " Liker ikke" "4" "0" "8" "8" "0" "0" "0"
## [627,] "Q22v_Tid_for_hjem, %" "" "" "" "" "" "" ""
## [628,] " Har ikke sett" "15" "21" "18" "18" "23" "28" "40"
## [629,] " Liker godt" "40" "43" "38" "37" "48" "32" "25"
## [630,] " Verken liker eller misliker" "32" "29" "33" "32" "22" "40" "30"
## [631,] " Liker ikke" "12" "7" "11" "13" "7" "0" "5"
## [632,] "Q22w_God_morgen_Norge, %" "" "" "" "" "" "" ""
## [633,] " Har ikke sett" "22" "34" "33" "18" "40" "44" "45"
## [634,] " Liker godt" "32" "34" "25" "29" "32" "24" "20"
## [635,] " Verken liker eller misliker" "32" "21" "31" "34" "23" "20" "35"
## [636,] " Liker ikke" "14" "11" "11" "18" "5" "12" "0"
## [637,] "Q22x_Brille, %" "" "" "" "" "" "" ""
## [638,] " Har ikke sett" "24" "29" "19" "18" "27" "36" "25"
## [639,] " Liker godt" "44" "30" "47" "47" "27" "44" "55"
## [640,] " Verken liker eller misliker" "17" "29" "20" "24" "30" "4" "20"
## [641,] " Liker ikke" "15" "12" "13" "11" "17" "16" "0"
## [642,] "Q22y_Top_Gear, %" "" "" "" "" "" "" ""
## [643,] " Har ikke sett" "22" "36" "26" "24" "35" "36" "25"
## [644,] " Liker godt" "46" "18" "30" "21" "32" "24" "40"
## [645,] " Verken liker eller misliker" "21" "27" "25" "26" "15" "20" "15"
## [646,] " Liker ikke" "11" "20" "19" "29" "18" "20" "20"yvars<-colnames(dplyr::select(mecin, Q25a_Game_of_Thrones:Q27f_avansert_fortellerteknikk))
t<-tabmulti(data=mecin, xvarname=xvar, yvarnames = yvars, p.include = FALSE, decimals=0, compress=TRUE, freq.parenth = "none", cell="col.percent", overall.column = FALSE)
t## Variable 1låg (n = 290) 2pensjtvlok (n = 232) 3nærokmann (n = 283) 4ukultkvi (n = 225) 5pensmannsak (n = 204) 6kultpol (n = 118) 7polit (n = 82)
## [1,] "Q25a_Game_of_Thrones, %" "" "" "" "" "" "" ""
## [2,] " Har ikke sett" "50" "68" "54" "37" "64" "55" "54"
## [3,] " Liker godt" "32" "9" "33" "46" "10" "24" "26"
## [4,] " Verken liker eller misliker" "8" "11" "7" "9" "15" "12" "11"
## [5,] " Liker ikke" "9" "12" "6" "8" "11" "9" "10"
## [6,] "Q25b_Side_om_side, %" "" "" "" "" "" "" ""
## [7,] " Har ikke sett" "34" "37" "27" "24" "33" "15" "34"
## [8,] " Liker godt" "42" "31" "45" "52" "29" "51" "40"
## [9,] " Verken liker eller misliker" "16" "21" "20" "15" "27" "24" "17"
## [10,] " Liker ikke" "8" "12" "8" "9" "11" "10" "9"
## [11,] "Q25c_Skam, %" "" "" "" "" "" "" ""
## [12,] " Har ikke sett" "51" "65" "53" "36" "61" "43" "52"
## [13,] " Liker godt" "29" "9" "28" "51" "9" "37" "21"
## [14,] " Verken liker eller misliker" "13" "18" "13" "11" "19" "14" "15"
## [15,] " Liker ikke" "7" "8" "6" "1" "11" "5" "12"
## [16,] "Q25d_The_Wire, %" "" "" "" "" "" "" ""
## [17,] " Har ikke sett" "78" "78" "77" "73" "78" "76" "63"
## [18,] " Liker godt" "6" "5" "8" "16" "5" "8" "20"
## [19,] " Verken liker eller misliker" "9" "10" "8" "7" "9" "13" "9"
## [20,] " Liker ikke" "7" "7" "6" "4" "8" "3" "9"
## [21,] "Q25e_Modern_Family, %" "" "" "" "" "" "" ""
## [22,] " Har ikke sett" "50" "70" "52" "36" "73" "59" "56"
## [23,] " Liker godt" "27" "5" "25" "42" "5" "22" "28"
## [24,] " Verken liker eller misliker" "13" "14" "14" "16" "12" "15" "10"
## [25,] " Liker ikke" "10" "12" "9" "6" "10" "3" "6"
## [26,] "Q25f_The_Leftovers, %" "" "" "" "" "" "" ""
## [27,] " Har ikke sett" "80" "85" "85" "83" "84" "87" "77"
## [28,] " Liker godt" "6" "0" "3" "6" "2" "1" "6"
## [29,] " Verken liker eller misliker" "9" "7" "8" "8" "6" "8" "9"
## [30,] " Liker ikke" "5" "8" "5" "4" "8" "4" "9"
## [31,] "Q25g_The_Crown, %" "" "" "" "" "" "" ""
## [32,] " Har ikke sett" "78" "79" "75" "69" "78" "74" "73"
## [33,] " Liker godt" "8" "6" "14" "23" "9" "17" "12"
## [34,] " Verken liker eller misliker" "9" "7" "8" "5" "7" "8" "10"
## [35,] " Liker ikke" "6" "7" "3" "3" "6" "2" "5"
## [36,] "Q25h_Criminal_Minds, %" "" "" "" "" "" "" ""
## [37,] " Har ikke sett" "38" "47" "40" "47" "40" "53" "49"
## [38,] " Liker godt" "34" "25" "29" "21" "21" "25" "33"
## [39,] " Verken liker eller misliker" "20" "20" "24" "22" "29" "17" "13"
## [40,] " Liker ikke" "8" "8" "7" "9" "10" "5" "5"
## [41,] "Q25i_Nobel, %" "" "" "" "" "" "" ""
## [42,] " Har ikke sett" "65" "62" "52" "54" "54" "43" "56"
## [43,] " Liker godt" "21" "20" "34" "30" "24" "39" "22"
## [44,] " Verken liker eller misliker" "10" "13" "13" "13" "16" "14" "16"
## [45,] " Liker ikke" "4" "5" "2" "3" "7" "3" "6"
## [46,] "Q25j_Vikings, %" "" "" "" "" "" "" ""
## [47,] " Har ikke sett" "56" "60" "48" "60" "44" "51" "55"
## [48,] " Liker godt" "23" "16" "34" "23" "19" "23" "29"
## [49,] " Verken liker eller misliker" "13" "16" "13" "10" "25" "19" "7"
## [50,] " Liker ikke" "8" "8" "4" "7" "13" "8" "9"
## [51,] "Q25k_Greys_Anatomy, %" "" "" "" "" "" "" ""
## [52,] " Har ikke sett" "38" "49" "33" "32" "51" "40" "45"
## [53,] " Liker godt" "27" "18" "18" "26" "10" "22" "10"
## [54,] " Verken liker eller misliker" "22" "24" "29" "26" "23" "25" "32"
## [55,] " Liker ikke" "13" "9" "19" "17" "16" "13" "13"
## [56,] "Q25l_House_of_Cards, %" "" "" "" "" "" "" ""
## [57,] " Har ikke sett" "68" "77" "56" "52" "74" "59" "50"
## [58,] " Liker godt" "13" "6" "25" "31" "8" "28" "28"
## [59,] " Verken liker eller misliker" "13" "12" "14" "14" "8" "8" "15"
## [60,] " Liker ikke" "5" "6" "5" "3" "9" "5" "7"
## [61,] "Q25m_Kampen_om_tungtvannet, %" "" "" "" "" "" "" ""
## [62,] " Har ikke sett" "56" "39" "38" "52" "32" "26" "37"
## [63,] " Liker godt" "32" "44" "51" "42" "48" "64" "48"
## [64,] " Verken liker eller misliker" "10" "16" "10" "6" "18" "10" "12"
## [65,] " Liker ikke" "2" "1" "1" "1" "2" "0" "4"
## [66,] "Q25n_Downton_Abbey, %" "" "" "" "" "" "" ""
## [67,] " Har ikke sett" "69" "39" "52" "53" "41" "39" "48"
## [68,] " Liker godt" "12" "42" "29" "33" "36" "44" "28"
## [69,] " Verken liker eller misliker" "11" "16" "13" "10" "14" "14" "10"
## [70,] " Liker ikke" "8" "3" "6" "4" "8" "3" "15"
## [71,] "Q25o_Narcos, %" "" "" "" "" "" "" ""
## [72,] " Har ikke sett" "68" "83" "67" "67" "79" "75" "71"
## [73,] " Liker godt" "19" "6" "23" "21" "6" "13" "22"
## [74,] " Verken liker eller misliker" "8" "8" "8" "8" "7" "7" "5"
## [75,] " Liker ikke" "5" "3" "2" "4" "8" "5" "2"
## [76,] "Q25p_Broen, %" "" "" "" "" "" "" ""
## [77,] " Har ikke sett" "60" "43" "41" "48" "29" "31" "48"
## [78,] " Liker godt" "28" "41" "47" "45" "54" "58" "43"
## [79,] " Verken liker eller misliker" "9" "13" "10" "7" "13" "9" "7"
## [80,] " Liker ikke" "3" "3" "1" "0" "3" "2" "2"
## [81,] "Q25q_Medhjartetrette, %" "" "" "" "" "" "" ""
## [82,] " Har ikke sett" "38" "19" "34" "30" "16" "25" "27"
## [83,] " Liker godt" "28" "52" "24" "27" "47" "40" "40"
## [84,] " Verken liker eller misliker" "24" "22" "29" "30" "29" "27" "24"
## [85,] " Liker ikke" "10" "7" "14" "12" "7" "8" "9"
## [86,] "Q25r_Big_Bang_Theory, %" "" "" "" "" "" "" ""
## [87,] " Har ikke sett" "26" "56" "28" "23" "51" "51" "40"
## [88,] " Liker godt" "47" "21" "45" "41" "20" "26" "26"
## [89,] " Verken liker eller misliker" "17" "16" "16" "22" "18" "18" "21"
## [90,] " Liker ikke" "10" "8" "11" "15" "11" "5" "13"
## [91,] "Q27a_diskutere, %" "" "" "" "" "" "" ""
## [92,] " Manglar" "0" "2" "0" "0" "0" "0" "0"
## [93,] " Passer delvis" "52" "56" "49" "51" "48" "50" "50"
## [94,] " Passer helt" "13" "6" "13" "30" "8" "26" "17"
## [95,] " Passer ikke" "34" "35" "37" "19" "43" "24" "32"
## [96,] " Vet ikke" "0" "1" "1" "0" "2" "0" "1"
## [97,] "Q27b_bare_underholdning, %" "" "" "" "" "" "" ""
## [98,] " Manglar" "0" "0" "0" "0" "0" "0" "0"
## [99,] " Passer delvis" "36" "39" "37" "57" "41" "58" "44"
## [100,] " Passer helt" "58" "55" "56" "35" "51" "35" "45"
## [101,] " Passer ikke" "4" "3" "5" "7" "3" "3" "11"
## [102,] " Vet ikke" "1" "3" "2" "1" "4" "4" "0"
## [103,] "Q27c_urettferdig_problematisk, %" "" "" "" "" "" "" ""
## [104,] " Manglar" "0" "0" "0" "0" "0" "0" "0"
## [105,] " Passer delvis" "42" "52" "51" "52" "50" "48" "43"
## [106,] " Passer helt" "13" "18" "15" "37" "23" "38" "34"
## [107,] " Passer ikke" "29" "16" "26" "8" "20" "11" "17"
## [108,] " Vet ikke" "16" "14" "8" "4" "6" "3" "6"
## [109,] "Q27d_vere_menneske, %" "" "" "" "" "" "" ""
## [110,] " Manglar" "0" "0" "0" "0" "0" "0" "0"
## [111,] " Passer delvis" "43" "54" "50" "47" "49" "37" "51"
## [112,] " Passer helt" "20" "25" "20" "47" "28" "54" "33"
## [113,] " Passer ikke" "26" "12" "21" "4" "17" "6" "12"
## [114,] " Vet ikke" "11" "9" "8" "3" "6" "3" "4"
## [115,] "Q27e_historiske_hendelser, %" "" "" "" "" "" "" ""
## [116,] " Manglar" "0" "0" "0" "0" "0" "0" "0"
## [117,] " Passer delvis" "48" "48" "49" "43" "37" "32" "38"
## [118,] " Passer helt" "26" "41" "42" "47" "53" "61" "60"
## [119,] " Passer ikke" "21" "7" "6" "8" "9" "5" "2"
## [120,] " Vet ikke" "4" "4" "4" "2" "1" "2" "0"
## [121,] "Q27f_avansert_fortellerteknikk, %" "" "" "" "" "" "" ""
## [122,] " Manglar" "0" "0" "0" "0" "0" "0" "0"
## [123,] " Passer delvis" "37" "39" "45" "40" "45" "42" "48"
## [124,] " Passer helt" "14" "11" "23" "39" "22" "41" "34"
## [125,] " Passer ikke" "33" "33" "23" "15" "22" "14" "11"
## [126,] " Vet ikke" "16" "16" "9" "6" "11" "3" "7"yvars<-colnames(dplyr::select(mecin, Q29kommune_ar, Q30_utdanning: Q42_verdi_bolig, livsopph,komsentr, antpers, harborn, stdgeo, stdalder, alderkjonn, r53ant, ralder10))
t<-tabmulti(data=mecin, xvarname=xvar, yvarnames = yvars, p.include = FALSE, decimals=0, compress=TRUE, freq.parenth = "none", cell="col.percent", overall.column = FALSE)
t## Variable 1låg (n = 98) 2pensjtvlok (n = 36) 3nærokmann (n = 127) 4ukultkvi (n = 66) 5pensmannsak (n = 17) 6kultpol (n = 26) 7polit (n = 20)
## [1,] "Q29kommune_ar, M (SD)" "27 (17)" "39 (18)" "24 (17)" "18 (14)" "37 (18)" "31 (18)" "27 (20)"
## [2,] "Q30_utdanning, %" "" "" "" "" "" "" ""
## [3,] " Folkeskolenivå (Inntil 8 års skolegang)" "0" "0" "0" "0" "6" "0" "0"
## [4,] " Ungdomsskole/realskolenivå (9-10 a°rs skolegang)" "7" "17" "1" "2" "6" "0" "0"
## [5,] " Videregående skole/gymnasnivå (11-13 års skolegang) \t\t" "57" "50" "37" "11" "41" "19" "40"
## [6,] " Universitet/ høyskole, lavere grad (Bachelor, Cand.mag/ høy" "28" "31" "42" "48" "41" "46" "30"
## [7,] " Universitet/ høyskole, høyere grad (Master, Hovedfag, høysk" "6" "0" "20" "39" "6" "35" "25"
## [8,] " Usikker / vil ikke oppgi" "2" "3" "0" "0" "0" "0" "5"
## [9,] "Q31_fag, %" "" "" "" "" "" "" ""
## [10,] " Annet" "17" "11" "9" "6" "12" "8" "0"
## [11,] " Håndverksfag" "19" "3" "8" "2" "18" "4" "0"
## [12,] " Helse-, sosial- og omsorgsfag" "12" "17" "6" "33" "0" "35" "15"
## [13,] " Humaniora" "1" "0" "3" "12" "0" "12" "10"
## [14,] " Ingen spesiell fagorientering" "7" "17" "4" "2" "6" "0" "0"
## [15,] " Ingeniørfag eller andre teknologiske fag" "13" "8" "29" "9" "24" "4" "10"
## [16,] " Jus" "0" "0" "1" "2" "0" "0" "5"
## [17,] " Kultur" "1" "3" "2" "6" "0" "0" "0"
## [18,] " Manglar" "9" "19" "1" "2" "12" "0" "5"
## [19,] " Naturvitenskap" "1" "0" "2" "6" "6" "0" "0"
## [20,] " Økonomi og administrasjon" "7" "17" "28" "11" "18" "8" "25"
## [21,] " Psykologi" "0" "0" "1" "0" "0" "8" "0"
## [22,] " Realfag" "4" "3" "2" "2" "6" "12" "10"
## [23,] " Samfunnsvitenskap" "2" "0" "2" "8" "0" "12" "20"
## [24,] " Sikkerhetsfag (millitærutdanning, politi o.l.)" "3" "3" "2" "2" "0" "0" "0"
## [25,] " Vet ikke" "2" "0" "0" "0" "0" "0" "0"
## [26,] "Q32_stilling, %" "" "" "" "" "" "" ""
## [27,] " Arbeider/operatør, ufaglært" "18" "17" "4" "3" "6" "4" "5"
## [28,] " Arbeider/operatør, faglært" "33" "14" "20" "29" "12" "19" "10"
## [29,] " Toppleder/ Daglig leder" "0" "3" "6" "6" "18" "0" "5"
## [30,] " Funksjonær, ledende stilling ellers" "6" "19" "27" "12" "29" "15" "30"
## [31,] " Funksjonær ellers" "17" "39" "27" "20" "0" "31" "20"
## [32,] " Selvstendig" "7" "3" "7" "2" "35" "12" "15"
## [33,] " Elev/Student/Lærling" "0" "0" "0" "0" "0" "0" "0"
## [34,] " For tiden arbeidsløs" "0" "0" "0" "0" "0" "0" "0"
## [35,] " Alderspensjonist" "0" "0" "0" "0" "0" "0" "0"
## [36,] " Trygdet" "0" "0" "0" "0" "0" "0" "0"
## [37,] " Gift uten eget betalt arbeid" "0" "0" "0" "0" "0" "0" "0"
## [38,] " Annet \t" "0" "0" "0" "0" "0" "0" "0"
## [39,] " Annet inntektsgivende arbeid" "18" "6" "9" "29" "0" "19" "15"
## [40,] "Q33_lederansvar, %" "" "" "" "" "" "" ""
## [41,] " Nei" "82" "69" "63" "73" "59" "69" "50"
## [42,] " Ja, 1-9 personer" "17" "28" "28" "18" "18" "19" "45"
## [43,] " Ja, 10 personer eller mer" "1" "3" "9" "9" "24" "12" "5"
## [44,] "Q34_bransje, %" "" "" "" "" "" "" ""
## [45,] " Annen bransje" "18" "14" "17" "14" "24" "8" "5"
## [46,] " Annen forretningsmessig tjenesteyting" "10" "14" "16" "9" "6" "4" "0"
## [47,] " Bank/Forsikring/Finans" "1" "3" "5" "0" "12" "0" "10"
## [48,] " Bygg og anlegg" "5" "3" "11" "5" "6" "0" "5"
## [49,] " Fiske / fangst" "1" "0" "2" "0" "6" "0" "0"
## [50,] " Helsevesen/Sosialomsorg" "13" "22" "8" "26" "0" "31" "25"
## [51,] " Industri/Bergverk/ Olje" "12" "3" "13" "3" "12" "0" "5"
## [52,] " Interesseorganisasjon/ Frivillig organisasjon" "1" "8" "2" "2" "0" "4" "15"
## [53,] " Jordbruk/Skogbruk" "1" "0" "1" "0" "12" "0" "0"
## [54,] " Manglar" "1" "0" "1" "2" "0" "0" "0"
## [55,] " Offentlig administrasjon/Forsvar/ Politi/ Rettsvesen" "10" "11" "7" "12" "6" "8" "15"
## [56,] " Reiseliv/ hotell/ restaurant/ servering" "2" "0" "2" "0" "0" "4" "5"
## [57,] " Samferdsel/Transport/Post/ Tele" "5" "8" "5" "3" "0" "4" "0"
## [58,] " Undervisning/Forskning" "7" "0" "6" "24" "6" "38" "0"
## [59,] " Varehandel/Butikk" "11" "14" "3" "2" "12" "0" "15"
## [60,] "Q35_offentlig_privat, %" "" "" "" "" "" "" ""
## [61,] " Annet" "0" "3" "2" "0" "0" "0" "0"
## [62,] " Manglar" "0" "0" "0" "0" "0" "0" "0"
## [63,] " Offentlig, kommune" "19" "19" "6" "32" "6" "35" "30"
## [64,] " Offentlig, stat eller fylke" "12" "25" "17" "30" "6" "35" "5"
## [65,] " Privat" "68" "53" "76" "38" "88" "31" "65"
## [66,] "Q38_arbeid_antall_timer, %" "" "" "" "" "" "" ""
## [67,] " 1-19 timer pr uke" "9" "17" "3" "6" "12" "8" "0"
## [68,] " 20-35 timer pr uke" "20" "17" "9" "14" "12" "27" "20"
## [69,] " 36-40 timer pr uke" "49" "58" "50" "52" "41" "35" "50"
## [70,] " 41-50 timer pr uke" "14" "8" "30" "23" "24" "27" "30"
## [71,] " Mer enn 50 timer pr uke" "7" "0" "9" "6" "12" "4" "0"
## [72,] "Q39a_barn_nye, %" "22" "0" "11" "18" "0" "8" "10"
## [73,] "Q39b_barn_flyttet_ut, %" "12" "22" "21" "9" "12" "19" "30"
## [74,] "Q39c_samboer_blitt, %" "15" "3" "12" "24" "12" "4" "20"
## [75,] "Q39a_samboer_slutt, %" "12" "8" "9" "17" "18" "8" "10"
## [76,] "Q39b_bedre_rad, %" "27" "11" "29" "29" "18" "27" "35"
## [77,] "Q39c_darligere_rad, %" "17" "14" "7" "17" "12" "12" "20"
## [78,] "Q39d_studier, %" "14" "6" "10" "41" "6" "23" "20"
## [79,] "Q39e_sykdom, %" "21" "14" "20" "29" "24" "38" "10"
## [80,] "Q39f_jobbytte, %" "27" "11" "28" "44" "18" "42" "50"
## [81,] "Q39g_bodd_utlandet, %" "4" "0" "3" "8" "6" "8" "5"
## [82,] "Q39h_flyttet, %" "24" "8" "22" "35" "6" "23" "20"
## [83,] "Q39i_pensjon, %" "0" "0" "0" "2" "0" "0" "5"
## [84,] "Q39j_ingen, %" "16" "50" "22" "11" "35" "12" "15"
## [85,] "Q40_inntekt, %" "" "" "" "" "" "" ""
## [86,] " Inntil kr. 100.000" "2" "0" "0" "0" "0" "0" "0"
## [87,] " Kr. 100.-199.000" "3" "0" "1" "2" "0" "0" "0"
## [88,] " Kr. 200.-299.000" "3" "6" "2" "6" "0" "8" "5"
## [89,] " Kr. 300.-399.000" "15" "19" "6" "11" "18" "8" "10"
## [90,] " Kr. 400.-499.000" "24" "31" "12" "39" "24" "19" "30"
## [91,] " Kr. 500.-599.000" "16" "14" "23" "21" "6" "27" "10"
## [92,] " Kr. 600.-799.000" "11" "17" "27" "14" "6" "23" "30"
## [93,] " Kr. 800.-999.000" "6" "3" "14" "5" "24" "8" "5"
## [94,] " Kr. 1 mill.-1.2 mill" "2" "0" "7" "0" "6" "4" "0"
## [95,] " Kr. 1.3 mill.-1.4 mill" "0" "0" "4" "0" "6" "0" "0"
## [96,] " Kr. 1.5 mill. eller mer" "0" "0" "1" "0" "0" "0" "5"
## [97,] " Ønsker ikke å oppgi" "12" "11" "5" "2" "6" "4" "5"
## [98,] " Vet ikke" "4" "0" "0" "2" "6" "0" "0"
## [99,] "Q41_penger_bank, %" "" "" "" "" "" "" ""
## [100,] " Ingenting" "9" "3" "0" "3" "0" "0" "5"
## [101,] " Inntil kr 10.000" "14" "8" "9" "12" "6" "8" "10"
## [102,] " Kr 10.000-49.999" "10" "17" "19" "23" "12" "27" "10"
## [103,] " Kr 50.000-99.999" "15" "14" "9" "12" "6" "4" "20"
## [104,] " Kr 100.000-249.999" "17" "8" "18" "24" "18" "19" "10"
## [105,] " Kr 250.000-499.999" "10" "8" "17" "9" "12" "23" "10"
## [106,] " Kr 500.000-1 mill." "4" "14" "9" "6" "18" "4" "10"
## [107,] " Over 1 mill." "2" "8" "10" "0" "18" "12" "5"
## [108,] " Ønsker ikke å oppgi" "16" "19" "10" "9" "12" "4" "20"
## [109,] " Vet ikke" "1" "0" "0" "2" "0" "0" "0"
## [110,] "Q42_verdi_bolig, %" "" "" "" "" "" "" ""
## [111,] " Under kr 1 million" "3" "8" "1" "0" "0" "4" "5"
## [112,] " Kr 1-1,9 million" "14" "3" "9" "8" "6" "4" "10"
## [113,] " Kr 2-2,9 millioner" "15" "25" "22" "24" "18" "15" "10"
## [114,] " Kr 3-3,9 millioner" "14" "11" "28" "24" "18" "27" "20"
## [115,] " Kr 4-4,9 millioner" "15" "22" "13" "15" "18" "4" "10"
## [116,] " Kr 5-5,9 millioner" "2" "3" "11" "3" "0" "23" "25"
## [117,] " Kr 6-6,9 millioner" "2" "11" "6" "5" "24" "0" "0"
## [118,] " Kr 7-7,9 millioner" "2" "3" "4" "0" "0" "4" "5"
## [119,] " Kr 8 millioner eller mer" "1" "0" "2" "3" "6" "15" "0"
## [120,] " Kan ikke selge boligen" "24" "8" "3" "15" "0" "4" "10"
## [121,] " Vet ikke" "6" "6" "2" "3" "12" "0" "5"
## [122,] "livsopph, %" "" "" "" "" "" "" ""
## [123,] " Inntektsgivende arbeid heltid" "70" "81" "86" "67" "65" "46" "65"
## [124,] " Inntektsgivende arbeid deltid" "16" "17" "5" "15" "0" "35" "10"
## [125,] " Selvstendig næringsdrivende" "3" "0" "5" "2" "29" "12" "15"
## [126,] " Alderspensjonist" "1" "3" "0" "0" "0" "4" "0"
## [127,] " For tiden arbeidsledig/arbeidstrygd" "2" "0" "2" "5" "0" "0" "5"
## [128,] " Annen type trygd" "2" "0" "1" "2" "0" "0" "5"
## [129,] " Elev, student" "4" "0" "2" "9" "0" "4" "0"
## [130,] " Hjemmeværende/husarbeid i hjemmet" "0" "0" "0" "2" "0" "0" "0"
## [131,] " Annet" "1" "0" "0" "0" "6" "0" "0"
## [132,] "komsentr, %" "" "" "" "" "" "" ""
## [133,] " mindretettogrest" "54" "53" "54" "29" "53" "50" "60"
## [134,] " småby" "16" "11" "20" "18" "24" "19" "20"
## [135,] " storby" "30" "36" "25" "53" "24" "31" "20"
## [136,] "antpers, %" "" "" "" "" "" "" ""
## [137,] " 1 person" "21" "25" "18" "24" "18" "15" "15"
## [138,] " 2 personer" "27" "47" "34" "35" "53" "42" "25"
## [139,] " 3 personer" "21" "17" "23" "21" "24" "15" "35"
## [140,] " 4 personer" "19" "8" "17" "8" "6" "19" "15"
## [141,] " 5 personer eller mer" "11" "3" "9" "12" "0" "8" "10"
## [142,] "harborn, %" "37" "8" "24" "33" "12" "15" "30"
## [143,] "stdgeo, %" "" "" "" "" "" "" ""
## [144,] " Oslo/Akershus" "14" "17" "24" "35" "29" "23" "35"
## [145,] " Rest Østland" "21" "14" "33" "17" "12" "38" "30"
## [146,] " Sør-/Vestland" "39" "44" "30" "27" "29" "23" "15"
## [147,] " Tr.lag/Nord-Norge" "26" "25" "13" "21" "29" "15" "20"
## [148,] "stdalder, %" "" "" "" "" "" "" ""
## [149,] " Under 30" "15" "0" "6" "33" "0" "12" "10"
## [150,] " 30-44" "44" "14" "33" "35" "12" "23" "40"
## [151,] " 45-59" "34" "50" "50" "23" "35" "38" "35"
## [152,] " 60+" "7" "36" "10" "9" "53" "27" "15"
## [153,] "alderkjonn, %" "" "" "" "" "" "" ""
## [154,] " <30 M" "7" "0" "6" "9" "0" "8" "5"
## [155,] " <30 K" "8" "0" "1" "24" "0" "4" "5"
## [156,] " 30-44 M" "22" "0" "18" "5" "12" "8" "30"
## [157,] " 30-44 K" "21" "14" "15" "30" "0" "15" "10"
## [158,] " 45-59 M" "26" "19" "34" "5" "29" "23" "25"
## [159,] " 45-59 K" "8" "31" "17" "18" "6" "15" "10"
## [160,] " 60+ M" "4" "17" "7" "3" "47" "4" "10"
## [161,] " 60+ K" "3" "19" "3" "6" "6" "23" "5"
## [162,] "r53ant, M (SD)" "7 (5)" "14 (6)" "16 (5)" "15 (5)" "20 (3)" "21 (4)" "21 (5)"
## [163,] "ralder10, M (SD)" "37 (12)" "52 (9)" "43 (11)" "33 (14)" "54 (10)" "45 (15)" "40 (14)"yvars<-colnames(dplyr::select(mecin, Q43_1_Advokat_dommer:Q43_35_Sykepleier))
t<-tabmulti(data=mecin, xvarname=xvar, yvarnames = yvars, p.include = FALSE, decimals=0, compress=TRUE, freq.parenth = "none", cell="col.percent", overall.column = FALSE)
t## Variable 1låg (n = 290) 2pensjtvlok (n = 232) 3nærokmann (n = 283) 4ukultkvi (n = 225) 5pensmannsak (n = 204) 6kultpol (n = 118) 7polit (n = 82)
## [1,] "Q43_1_Advokat_dommer, %" "25" "32" "45" "41" "37" "55" "59"
## [2,] "Q43_2_Avisredaktor, %" "6" "8" "11" "7" "10" "17" "18"
## [3,] "Q43_3_Bonde, %" "48" "59" "54" "55" "68" "64" "63"
## [4,] "Q43_4_Buss_drosje_lastebilsjafor, %" "47" "49" "47" "40" "50" "50" "55"
## [5,] "Q43_5_Butikkmedarbeider, %" "63" "62" "65" "71" "64" "70" "65"
## [6,] "Q43_6_Eier_stor_bedrift, %" "23" "25" "28" "15" "34" "33" "37"
## [7,] "Q43_7_Eier_av_utested_, %" "18" "20" "20" "17" "23" "24" "34"
## [8,] "Q43_8_Forlagsmedarbeider, %" "2" "2" "5" "12" "8" "22" "15"
## [9,] "Q43_9_Hjelpepleier, %" "50" "53" "43" "60" "51" "58" "49"
## [10,] "Q43_10_Industriarbeider, %" "38" "37" "48" "34" "45" "40" "54"
## [11,] "Q43_11_Ingenior, %" "43" "44" "67" "68" "61" "77" "70"
## [12,] "Q43_13_IT_konsulent, %" "36" "35" "55" "47" "53" "64" "51"
## [13,] "Q43_14_Journalist, %" "18" "29" "36" "46" "32" "60" "55"
## [14,] "Q43_15_Kunstner, %" "18" "22" "28" "41" "27" "58" "43"
## [15,] "Q43_16_Leder_i_neringslivet, %" "29" "38" "55" "30" "51" "50" "62"
## [16,] "Q43_17_Leder_i_stat, %" "6" "7" "16" "13" "19" "25" "30"
## [17,] "Q43_18_Leder_i_kommuneadministra, %" "12" "18" "21" "17" "28" "44" "44"
## [18,] "Q43_19_Lege, %" "36" "42" "49" "59" "53" "71" "57"
## [19,] "Q43_20_Lektor_videregaende, %" "19" "23" "39" "46" "32" "67" "60"
## [20,] "Q43_21_Lerer_barne_ungdomsskole, %" "48" "50" "71" "75" "56" "82" "74"
## [21,] "Q43_22_Politi, %" "40" "44" "52" "46" "46" "60" "50"
## [22,] "Q43_23_Politiker_byrad_kommunest, %" "22" "34" "33" "31" "42" "62" "79"
## [23,] "Q43_24_Postbud, %" "20" "25" "22" "18" "32" "23" "28"
## [24,] "Q43_26_Professor, %" "9" "15" "27" "36" "21" "48" "37"
## [25,] "Q43_27_Regnskapsforer, %" "38" "41" "54" "43" "49" "59" "52"
## [26,] "Q43_28_Renholder, %" "38" "47" "35" "31" "41" "37" "41"
## [27,] "Q43_29_Rorlegger, %" "41" "47" "43" "30" "57" "46" "49"
## [28,] "Q43_30_Selger, %" "40" "38" "55" "41" "47" "47" "56"
## [29,] "Q43_31_Sivilingenior, %" "22" "25" "46" "41" "45" "54" "40"
## [30,] "Q43_32_Sivilokonom, %" "17" "17" "41" "32" "26" "41" "29"
## [31,] "Q43_33_Sosionom_barnevernsarbeid, %" "30" "28" "42" "52" "35" "63" "49"
## [32,] "Q43_34_Stortingspolitiker, %" "7" "12" "14" "11" "17" "27" "43"
## [33,] "Q43_35_Sykepleier, %" "68" "69" "78" "81" "68" "88" "74"yvars<-colnames(dplyr::select(mecin, Q47a_stemte:Q50x_lite_relevant))
t<-tabmulti(data=mecin, xvarname=xvar, yvarnames = yvars, p.include = FALSE, decimals=0, compress=TRUE, freq.parenth = "none", cell="col.percent", overall.column = FALSE)
t## Variable 1låg (n = 240) 2pensjtvlok (n = 193) 3nærokmann (n = 251) 4ukultkvi (n = 204) 5pensmannsak (n = 177) 6kultpol (n = 103) 7polit (n = 67)
## [1,] "Q47a_stemte, %" "100" "100" "100" "100" "100" "100" "100"
## [2,] "Q47b_partilederdebatt, %" "16" "35" "46" "49" "69" "74" "75"
## [3,] "Q47c_valgsending, %" "22" "53" "62" "64" "77" "88" "72"
## [4,] "Q47d_avislesing, %" "27" "50" "75" "77" "80" "96" "90"
## [5,] "Q47e_nettsider_parti, %" "11" "4" "22" "45" "19" "44" "61"
## [6,] "Q47f_nyhetskilder_andre, %" "3" "0" "4" "12" "11" "15" "40"
## [7,] "Q47g_diskusjon_jobb, %" "15" "12" "55" "46" "21" "60" "52"
## [8,] "Q47h_diskusjon_venne_familie, %" "25" "36" "66" "82" "66" "95" "87"
## [9,] "Q47i_valgomat, %" "40" "40" "62" "79" "64" "78" "87"
## [10,] "Q47j_partiprogram, %" "12" "16" "31" "49" "44" "69" "73"
## [11,] "Q47k_sosmedier_politikere_parti, %" "5" "8" "13" "26" "20" "43" "72"
## [12,] "Q47l_ingen_a_k, %" "0" "0" "0" "0" "0" "0" "0"
## [13,] "Q47m_politisk_reklame, %" "37" "31" "55" "57" "52" "71" "70"
## [14,] "Q47n_sosmedier_dele_kommentere, %" "3" "8" "5" "10" "19" "19" "84"
## [15,] "Q47o_sosmedier_statusoppdatering, %" "2" "1" "5" "7" "3" "14" "54"
## [16,] "Q47p_leserinnlegg_debattinnlegg, %" "0" "2" "0" "1" "6" "1" "13"
## [17,] "Q47q_oppfordre_stemmerett, %" "12" "17" "32" "42" "31" "55" "72"
## [18,] "Q47r_pavirke_andre, %" "6" "1" "11" "18" "20" "25" "76"
## [19,] "Q47s_politisk_mote, %" "1" "1" "1" "2" "1" "9" "49"
## [20,] "Q47t_deltok_valgkamp, %" "1" "0" "0" "1" "2" "5" "45"
## [21,] "Q47u_ingen_m_t, %" "47" "49" "27" "18" "25" "9" "0"
## [22,] "Q49_politisk_parti, %" "" "" "" "" "" "" ""
## [23,] " Arbeiderpartiet" "17" "33" "27" "22" "23" "25" "30"
## [24,] " Høyre" "19" "28" "35" "9" "27" "14" "9"
## [25,] " Fremskrittspartiet" "23" "15" "9" "3" "22" "1" "16"
## [26,] " Senterpartiet" "7" "8" "7" "4" "8" "5" "7"
## [27,] " Sosialistisk Venstreparti" "5" "1" "5" "20" "5" "24" "13"
## [28,] " Venstre" "6" "2" "6" "8" "2" "6" "3"
## [29,] " Kristelig Folkeparti" "2" "3" "3" "6" "3" "9" "1"
## [30,] " Miljøpartiet De Grønne" "2" "1" "0" "12" "1" "6" "4"
## [31,] " Rødt" "2" "1" "1" "10" "3" "7" "9"
## [32,] " Annet parti" "3" "4" "1" "2" "1" "0" "3"
## [33,] " Jeg stemte blankt" "4" "0" "0" "0" "0" "0" "0"
## [34,] " Vil ikke oppgi" "9" "6" "6" "4" "5" "4" "3"
## [35,] "Q50a_har_tillit, %" "" "" "" "" "" "" ""
## [36,] " Delvis enig" "37" "65" "65" "50" "50" "67" "43"
## [37,] " Delvis uenig" "32" "21" "25" "32" "32" "17" "21"
## [38,] " Helt enig" "2" "5" "5" "8" "5" "13" "18"
## [39,] " Helt uenig" "24" "7" "4" "9" "13" "4" "18"
## [40,] " Vet ikke" "5" "2" "0" "0" "1" "0" "0"
## [41,] "Q50b_usikker_partier, %" "" "" "" "" "" "" ""
## [42,] " Delvis enig" "53" "63" "35" "43" "36" "29" "27"
## [43,] " Delvis uenig" "20" "23" "38" "36" "32" "50" "18"
## [44,] " Helt enig" "14" "6" "1" "3" "5" "0" "9"
## [45,] " Helt uenig" "10" "4" "25" "17" "27" "20" "45"
## [46,] " Vet ikke" "3" "4" "1" "0" "1" "1" "1"
## [47,] "Q50c_brenner_ikke, %" "" "" "" "" "" "" ""
## [48,] " Delvis enig" "29" "34" "19" "6" "12" "6" "6"
## [49,] " Delvis uenig" "35" "33" "41" "27" "29" "19" "9"
## [50,] " Helt enig" "7" "8" "1" "1" "1" "2" "0"
## [51,] " Helt uenig" "27" "23" "38" "66" "58" "73" "85"
## [52,] " Vet ikke" "2" "3" "1" "0" "1" "0" "0"
## [53,] "Q50d_ingen_parti, %" "" "" "" "" "" "" ""
## [54,] " Delvis enig" "23" "23" "10" "8" "18" "8" "12"
## [55,] " Delvis uenig" "46" "46" "45" "44" "34" "30" "27"
## [56,] " Helt enig" "5" "2" "1" "1" "1" "0" "1"
## [57,] " Helt uenig" "16" "18" "41" "47" "45" "62" "60"
## [58,] " Vet ikke" "10" "12" "4" "0" "2" "0" "0"
## [59,] "Q50e_politikk_lite_relevant, %" "" "" "" "" "" "" ""
## [60,] " Delvis enig" "31" "34" "13" "13" "14" "6" "9"
## [61,] " Delvis uenig" "39" "40" "39" "40" "37" "32" "18"
## [62,] " Helt enig" "6" "2" "2" "3" "2" "0" "3"
## [63,] " Helt uenig" "20" "20" "45" "43" "47" "62" "70"
## [64,] " Vet ikke" "5" "5" "1" "1" "1" "0" "0"
## [65,] "Q50f_gjor_ingen_forskjell, %" "" "" "" "" "" "" ""
## [66,] " Delvis enig" "34" "40" "20" "15" "25" "8" "13"
## [67,] " Delvis uenig" "27" "25" "30" "35" "23" "28" "19"
## [68,] " Helt enig" "20" "11" "3" "4" "2" "1" "3"
## [69,] " Helt uenig" "16" "19" "47" "45" "48" "63" "64"
## [70,] " Vet ikke" "3" "4" "0" "0" "2" "0" "0"
## [71,] "Q50g_plikt_stemme, %" "" "" "" "" "" "" ""
## [72,] " Delvis enig" "26" "18" "19" "17" "10" "12" "16"
## [73,] " Delvis uenig" "8" "1" "3" "2" "3" "3" "4"
## [74,] " Helt enig" "57" "77" "75" "77" "83" "83" "70"
## [75,] " Helt uenig" "6" "4" "2" "3" "4" "2" "7"
## [76,] " Vet ikke" "2" "1" "0" "0" "0" "0" "1"
## [77,] "Q50h_mistro_demokrati, %" "" "" "" "" "" "" ""
## [78,] " Delvis enig" "12" "6" "2" "6" "5" "0" "9"
## [79,] " Delvis uenig" "20" "15" "11" "15" "10" "10" "13"
## [80,] " Helt enig" "5" "3" "2" "0" "3" "0" "4"
## [81,] " Helt uenig" "51" "73" "84" "77" "81" "89" "72"
## [82,] " Vet ikke" "11" "4" "2" "1" "1" "1" "1"
## [83,] "Q50i_god_forstaelse, %" "" "" "" "" "" "" ""
## [84,] " Delvis enig" "48" "61" "66" "69" "58" "54" "33"
## [85,] " Delvis uenig" "30" "20" "4" "10" "3" "2" "0"
## [86,] " Helt enig" "5" "12" "28" "19" "36" "43" "67"
## [87,] " Helt uenig" "9" "1" "0" "0" "1" "0" "0"
## [88,] " Vet ikke" "9" "6" "2" "1" "2" "1" "0"
## [89,] "Q50j_stoler_pa_, %" "" "" "" "" "" "" ""
## [90,] " Delvis enig" "41" "55" "59" "42" "46" "54" "42"
## [91,] " Delvis uenig" "34" "24" "26" "37" "34" "29" "33"
## [92,] " Helt enig" "5" "11" "9" "9" "6" "10" "9"
## [93,] " Helt uenig" "18" "7" "5" "11" "12" "6" "16"
## [94,] " Vet ikke" "2" "3" "1" "0" "1" "1" "0"
## [95,] "Q50k_kan_pavirke, %" "" "" "" "" "" "" ""
## [96,] " Delvis enig" "15" "28" "35" "36" "29" "61" "54"
## [97,] " Delvis uenig" "36" "32" "41" "42" "47" "20" "16"
## [98,] " Helt enig" "2" "4" "2" "2" "3" "11" "16"
## [99,] " Helt uenig" "42" "31" "20" "15" "18" "4" "13"
## [100,] " Vet ikke" "4" "6" "3" "5" "3" "4" "0"
## [101,] "Q50l_kan_finne_info, %" "" "" "" "" "" "" ""
## [102,] " Delvis enig" "43" "50" "61" "65" "65" "46" "43"
## [103,] " Delvis uenig" "28" "23" "14" "14" "10" "4" "4"
## [104,] " Helt enig" "10" "8" "21" "19" "23" "49" "52"
## [105,] " Helt uenig" "12" "5" "2" "2" "1" "1" "0"
## [106,] " Vet ikke" "8" "14" "2" "0" "1" "1" "0"
## [107,] "Q50m_ubrukt_engasjement, %" "" "" "" "" "" "" ""
## [108,] " Delvis enig" "45" "47" "33" "50" "54" "46" "30"
## [109,] " Delvis uenig" "23" "25" "43" "21" "25" "36" "36"
## [110,] " Helt enig" "10" "8" "3" "14" "11" "6" "13"
## [111,] " Helt uenig" "10" "8" "14" "10" "6" "12" "21"
## [112,] " Vet ikke" "12" "12" "7" "4" "3" "1" "0"
## [113,] "Q50n_ubehagelig_spurt, %" "" "" "" "" "" "" ""
## [114,] " Delvis enig" "22" "24" "12" "29" "13" "12" "7"
## [115,] " Delvis uenig" "24" "27" "28" "28" "24" "27" "18"
## [116,] " Helt enig" "10" "7" "4" "9" "7" "1" "1"
## [117,] " Helt uenig" "41" "39" "55" "34" "55" "59" "72"
## [118,] " Vet ikke" "3" "3" "1" "0" "1" "1" "1"
## [119,] "Q50o_andre_forstar_ikke, %" "" "" "" "" "" "" ""
## [120,] " Delvis enig" "30" "41" "32" "37" "42" "42" "48"
## [121,] " Delvis uenig" "20" "19" "29" "29" "23" "29" "7"
## [122,] " Helt enig" "15" "9" "11" "14" "21" "7" "39"
## [123,] " Helt uenig" "10" "11" "15" "7" "6" "13" "3"
## [124,] " Vet ikke" "25" "20" "12" "13" "9" "10" "3"
## [125,] "Q50p_folkeavstemminger, %" "" "" "" "" "" "" ""
## [126,] " Delvis enig" "41" "31" "19" "28" "26" "17" "22"
## [127,] " Delvis uenig" "13" "24" "35" "27" "27" "33" "27"
## [128,] " Helt enig" "28" "14" "8" "17" "24" "5" "27"
## [129,] " Helt uenig" "7" "20" "29" "17" "20" "41" "22"
## [130,] " Vet ikke" "10" "11" "9" "11" "3" "4" "1"
## [131,] "Q50q_eksperter, %" "" "" "" "" "" "" ""
## [132,] " Delvis enig" "44" "44" "47" "43" "36" "39" "25"
## [133,] " Delvis uenig" "12" "21" "24" "18" "24" "38" "28"
## [134,] " Helt enig" "23" "13" "12" "25" "9" "5" "12"
## [135,] " Helt uenig" "8" "12" "12" "6" "26" "15" "33"
## [136,] " Vet ikke" "12" "10" "6" "8" "5" "4" "1"
## [137,] "Q50r_venner_forventer, %" "" "" "" "" "" "" ""
## [138,] " Delvis enig" "30" "37" "56" "49" "49" "53" "54"
## [139,] " Delvis uenig" "31" "23" "11" "19" "15" "5" "3"
## [140,] " Helt enig" "6" "4" "20" "25" "19" "35" "39"
## [141,] " Helt uenig" "18" "13" "7" "3" "7" "3" "1"
## [142,] " Vet ikke" "15" "22" "6" "4" "11" "4" "3"
## [143,] "Q50s_vite_hva_som_snakkes_om, %" "" "" "" "" "" "" ""
## [144,] " Delvis enig" "37" "53" "41" "41" "41" "42" "48"
## [145,] " Delvis uenig" "33" "16" "22" "27" "15" "25" "13"
## [146,] " Helt enig" "8" "21" "18" "18" "32" "29" "27"
## [147,] " Helt uenig" "20" "10" "17" "13" "11" "4" "9"
## [148,] " Vet ikke" "2" "0" "2" "1" "1" "0" "3"
## [149,] "Q50t_behov_infomert, %" "" "" "" "" "" "" ""
## [150,] " Delvis enig" "47" "62" "42" "44" "38" "23" "25"
## [151,] " Delvis uenig" "27" "6" "1" "3" "0" "0" "1"
## [152,] " Helt enig" "12" "32" "56" "52" "62" "77" "73"
## [153,] " Helt uenig" "10" "1" "0" "0" "0" "0" "0"
## [154,] " Vet ikke" "3" "0" "0" "0" "0" "0" "0"
## [155,] "Q50u_nyheter_komplisert, %" "" "" "" "" "" "" ""
## [156,] " Delvis enig" "41" "62" "12" "33" "20" "19" "16"
## [157,] " Delvis uenig" "28" "26" "39" "36" "36" "40" "28"
## [158,] " Helt enig" "11" "3" "1" "3" "1" "0" "3"
## [159,] " Helt uenig" "16" "7" "47" "27" "42" "40" "52"
## [160,] " Vet ikke" "5" "1" "1" "0" "1" "1" "0"
## [161,] "Q50v_for_mye_informasjon, %" "" "" "" "" "" "" ""
## [162,] " Delvis enig" "38" "59" "17" "44" "24" "24" "21"
## [163,] " Delvis uenig" "26" "20" "35" "31" "31" "42" "42"
## [164,] " Helt enig" "18" "8" "3" "6" "4" "3" "1"
## [165,] " Helt uenig" "12" "11" "43" "17" "41" "31" "36"
## [166,] " Vet ikke" "7" "3" "2" "2" "0" "0" "0"
## [167,] "Q50w_skjerme_mot_nyheter, %" "" "" "" "" "" "" ""
## [168,] " Delvis enig" "31" "46" "16" "30" "17" "25" "18"
## [169,] " Delvis uenig" "24" "26" "27" "30" "30" "31" "30"
## [170,] " Helt enig" "18" "11" "3" "9" "5" "0" "3"
## [171,] " Helt uenig" "21" "16" "53" "29" "48" "44" "49"
## [172,] " Vet ikke" "6" "1" "0" "1" "1" "0" "0"
## [173,] "Q50x_lite_relevant, %" "" "" "" "" "" "" ""
## [174,] " Delvis enig" "26" "15" "6" "7" "5" "2" "15"
## [175,] " Delvis uenig" "41" "35" "29" "48" "28" "26" "27"
## [176,] " Helt enig" "5" "1" "0" "0" "0" "1" "0"
## [177,] " Helt uenig" "24" "46" "64" "44" "67" "70" "58"
## [178,] " Vet ikke" "4" "4" "1" "1" "0" "1" "0"yvars<-colnames(dplyr::select(mecin, nordkorea:statsbudsj, Q57a_interesseorganisasjon:Q57k_ingen))
t<-tabmulti(data=mecin, xvarname=xvar, yvarnames = yvars, p.include = FALSE, decimals=0, compress=TRUE, freq.parenth = "none", cell="col.percent", overall.column = FALSE)
t## Variable 1låg (n = 290) 2pensjtvlok (n = 232) 3nærokmann (n = 283) 4ukultkvi (n = 225) 5pensmannsak (n = 204) 6kultpol (n = 118) 7polit (n = 82)
## [1,] "nordkorea, %" "59" "84" "95" "84" "99" "95" "94"
## [2,] "catalonia, %" "42" "74" "87" "78" "96" "97" "90"
## [3,] "velferdsprofitt, %" "22" "53" "60" "60" "85" "92" "88"
## [4,] "SAS, %" "7" "13" "29" "17" "53" "45" "49"
## [5,] "ulvejakt, %" "41" "66" "63" "56" "81" "75" "72"
## [6,] "kommunesammen, %" "39" "74" "77" "72" "93" "95" "89"
## [7,] "brexit, %" "35" "47" "83" "68" "91" "85" "90"
## [8,] "listhaugsverige, %" "20" "50" "55" "50" "84" "83" "78"
## [9,] "oljenord, %" "22" "43" "61" "63" "82" "85" "82"
## [10,] "storeprivok, %" "12" "22" "28" "19" "59" "44" "60"
## [11,] "bloggrasmussen, %" "8" "3" "5" "16" "4" "6" "4"
## [12,] "russlandval, %" "39" "63" "81" "82" "89" "94" "85"
## [13,] "formueskatt, %" "15" "29" "41" "32" "66" "62" "80"
## [14,] "hijabnrk, %" "16" "36" "30" "41" "53" "54" "54"
## [15,] "lokalsjukehus, %" "22" "50" "43" "40" "72" "75" "77"
## [16,] "Hjorth, %" "2" "8" "12" "22" "13" "43" "27"
## [17,] "krfvregj, %" "14" "49" "59" "56" "85" "82" "87"
## [18,] "jensen, %" "42" "69" "75" "65" "91" "86" "80"
## [19,] "nobellitt, %" "6" "14" "17" "25" "25" "53" "34"
## [20,] "sykkelvm, %" "22" "47" "53" "37" "62" "53" "48"
## [21,] "plastkvalen, %" "34" "61" "52" "58" "79" "80" "65"
## [22,] "SSB, %" "29" "69" "79" "64" "94" "92" "91"
## [23,] "skalvidanse, %" "3" "11" "5" "4" "12" "7" "2"
## [24,] "co2budsj, %" "5" "2" "13" "12" "22" "31" "32"
## [25,] "kygo, %" "6" "6" "11" "10" "10" "8" "15"
## [26,] "skamkarriere, %" "9" "2" "7" "20" "5" "11" "5"
## [27,] "metoo, %" "36" "72" "71" "90" "81" "92" "84"
## [28,] "syriaflykt, %" "30" "56" "73" "79" "89" "92" "89"
## [29,] "voldvidg, %" "29" "65" "55" "56" "79" "82" "76"
## [30,] "nikabforbod, %" "19" "43" "36" "38" "69" "70" "71"
## [31,] "rumentigg, %" "24" "47" "44" "48" "72" "64" "67"
## [32,] "statsbudsj, %" "9" "32" "57" "40" "77" "81" "84"
## [33,] "Q57a_interesseorganisasjon, %" "3" "8" "3" "20" "9" "34" "48"
## [34,] "Q57b_politisk_partiarbeid, %" "2" "0" "3" "4" "8" "15" "55"
## [35,] "Q57c_streik, %" "3" "0" "2" "7" "1" "9" "9"
## [36,] "Q57d_demonstrasjon, %" "3" "4" "2" "16" "7" "29" "40"
## [37,] "Q57e_kontaktet_politiker, %" "5" "6" "5" "8" "20" "20" "66"
## [38,] "Q57f_kontaktet_media, %" "3" "6" "5" "6" "15" "16" "57"
## [39,] "Q57g_personlig_protest, %" "10" "3" "10" "31" "15" "25" "39"
## [40,] "Q57h_underskriftskamapnje, %" "34" "23" "28" "65" "36" "64" "68"
## [41,] "Q57i_donert_penger, %" "5" "3" "5" "17" "9" "30" "46"
## [42,] "Q57j_deltatt_markering, %" "12" "12" "23" "47" "15" "53" "35"
## [43,] "Q57k_ingen, %" "45" "53" "43" "14" "28" "6" "1"yvars<-colnames(dplyr::select(mecin, Q58a_Facebook:Q59k_kommenterer_nyheter, Q61a_rolle_i_samfunn:Q65g_ikke_samfunnsdebatt))
t<-tabmulti(data=mecin, xvarname=xvar, yvarnames = yvars, p.include = FALSE, decimals=0, compress=TRUE, freq.parenth = "none", cell="col.percent", overall.column = FALSE)
t## Variable 1låg (n = 126) 2pensjtvlok (n = 95) 3nærokmann (n = 161) 4ukultkvi (n = 148) 5pensmannsak (n = 119) 6kultpol (n = 100) 7polit (n = 80)
## [1,] "Q58a_Facebook, %" "93" "97" "93" "96" "94" "99" "96"
## [2,] "Q58b_Twitter, %" "21" "4" "17" "20" "18" "26" "31"
## [3,] "Q58c_Snapchat, %" "61" "47" "66" "74" "39" "57" "57"
## [4,] "Q58d_Instagram, %" "51" "39" "50" "60" "31" "60" "44"
## [5,] "Q58e_LinkedIn, %" "13" "7" "37" "27" "14" "24" "31"
## [6,] "Q58f_annet, %" "6" "1" "6" "8" "3" "4" "1"
## [7,] "Q59a_oppdatering_sosial, %" "" "" "" "" "" "" ""
## [8,] " Aldri" "8" "17" "11" "9" "21" "14" "11"
## [9,] " Daglig" "10" "5" "4" "2" "3" "0" "11"
## [10,] " Flere ganger daglig" "2" "0" "2" "1" "1" "1" "1"
## [11,] " Sjeldnere" "61" "65" "71" "78" "61" "74" "42"
## [12,] " Ukentlig" "18" "13" "12" "9" "13" "11" "34"
## [13,] "Q59b_orientering_sosial, %" "" "" "" "" "" "" ""
## [14,] " Aldri" "1" "4" "2" "0" "4" "1" "0"
## [15,] " Daglig" "44" "36" "45" "43" "47" "56" "49"
## [16,] " Flere ganger daglig" "12" "4" "11" "7" "5" "7" "24"
## [17,] " Sjeldnere" "16" "9" "9" "12" "13" "3" "1"
## [18,] " Ukentlig" "27" "46" "34" "38" "31" "33" "26"
## [19,] "Q59c_orientering_kultur, %" "" "" "" "" "" "" ""
## [20,] " Aldri" "6" "3" "4" "0" "8" "1" "1"
## [21,] " Daglig" "7" "11" "10" "9" "8" "31" "24"
## [22,] " Flere ganger daglig" "4" "1" "1" "1" "0" "2" "2"
## [23,] " Sjeldnere" "51" "54" "45" "31" "50" "19" "42"
## [24,] " Ukentlig" "33" "32" "40" "59" "33" "47" "30"
## [25,] "Q59d_arrangement_invitasjoner, %" "" "" "" "" "" "" ""
## [26,] " Aldri" "29" "41" "28" "22" "49" "27" "16"
## [27,] " Daglig" "8" "1" "0" "0" "0" "0" "1"
## [28,] " Flere ganger daglig" "1" "0" "0" "0" "0" "0" "1"
## [29,] " Sjeldnere" "56" "56" "70" "75" "51" "70" "72"
## [30,] " Ukentlig" "6" "2" "2" "3" "0" "3" "9"
## [31,] "Q59e_organisering_aktivitet, %" "" "" "" "" "" "" ""
## [32,] " Aldri" "38" "56" "34" "34" "59" "32" "25"
## [33,] " Daglig" "15" "6" "17" "7" "3" "15" "10"
## [34,] " Flere ganger daglig" "2" "0" "2" "1" "0" "2" "1"
## [35,] " Sjeldnere" "26" "28" "27" "34" "33" "22" "36"
## [36,] " Ukentlig" "19" "9" "21" "24" "6" "29" "28"
## [37,] "Q59f_oppdateringer_jobb, %" "" "" "" "" "" "" ""
## [38,] " Aldri" "37" "60" "25" "32" "59" "41" "31"
## [39,] " Daglig" "8" "1" "6" "1" "0" "8" "0"
## [40,] " Flere ganger daglig" "2" "0" "1" "1" "0" "0" "4"
## [41,] " Sjeldnere" "37" "32" "46" "53" "34" "37" "45"
## [42,] " Ukentlig" "15" "7" "22" "14" "7" "14" "20"
## [43,] "Q59g_lengre_innlegg, %" "" "" "" "" "" "" ""
## [44,] " Aldri" "64" "82" "71" "66" "66" "58" "21"
## [45,] " Daglig" "6" "0" "0" "0" "0" "0" "4"
## [46,] " Flere ganger daglig" "2" "0" "0" "0" "0" "0" "1"
## [47,] " Sjeldnere" "25" "18" "29" "34" "34" "42" "60"
## [48,] " Ukentlig" "3" "0" "0" "0" "1" "0" "14"
## [49,] "Q59h_starter_debatt, %" "" "" "" "" "" "" ""
## [50,] " Aldri" "57" "76" "67" "66" "71" "69" "15"
## [51,] " Daglig" "4" "1" "0" "0" "0" "0" "2"
## [52,] " Flere ganger daglig" "2" "0" "0" "0" "0" "0" "1"
## [53,] " Sjeldnere" "33" "23" "31" "33" "28" "31" "59"
## [54,] " Ukentlig" "5" "0" "2" "1" "1" "0" "22"
## [55,] "Q59i_deltar_debatt, %" "" "" "" "" "" "" ""
## [56,] " Aldri" "30" "45" "34" "39" "37" "27" "5"
## [57,] " Daglig" "5" "0" "0" "1" "0" "0" "10"
## [58,] " Flere ganger daglig" "2" "0" "0" "0" "0" "0" "6"
## [59,] " Sjeldnere" "52" "51" "61" "55" "53" "65" "39"
## [60,] " Ukentlig" "10" "4" "4" "5" "10" "8" "40"
## [61,] "Q59j_dele_nyheter, %" "" "" "" "" "" "" ""
## [62,] " Aldri" "25" "44" "28" "14" "26" "19" "2"
## [63,] " Daglig" "6" "0" "1" "1" "1" "1" "9"
## [64,] " Flere ganger daglig" "2" "0" "0" "0" "1" "0" "2"
## [65,] " Sjeldnere" "56" "53" "64" "80" "64" "65" "34"
## [66,] " Ukentlig" "12" "3" "7" "6" "8" "15" "52"
## [67,] "Q59k_kommenterer_nyheter, %" "" "" "" "" "" "" ""
## [68,] " Aldri" "22" "36" "27" "25" "18" "18" "2"
## [69,] " Daglig" "4" "0" "0" "1" "1" "1" "14"
## [70,] " Flere ganger daglig" "2" "0" "0" "0" "0" "0" "0"
## [71,] " Sjeldnere" "57" "59" "65" "70" "64" "73" "31"
## [72,] " Ukentlig" "15" "5" "7" "3" "18" "8" "52"
## [73,] "Q61a_rolle_i_samfunn, %" "24" "20" "48" "34" "19" "41" "50"
## [74,] "Q61b_ingenting_bidra, %" "15" "11" "7" "14" "6" "3" "2"
## [75,] "Q61c_vanskelig_formulere, %" "15" "22" "2" "21" "14" "11" "10"
## [76,] "Q61d_ingen_forskjell, %" "17" "17" "20" "21" "20" "13" "10"
## [77,] "Q61e_foretrekke_f2f, %" "36" "57" "52" "59" "48" "68" "32"
## [78,] "Q61f_redd_kritikk, %" "12" "7" "8" "18" "4" "3" "5"
## [79,] "Q61g_redd_misforstatt, %" "21" "23" "19" "34" "16" "21" "18"
## [80,] "Q61h_redd_trakasering, %" "12" "12" "7" "23" "8" "13" "10"
## [81,] "Q61i_redd_manglende_respons, %" "4" "2" "1" "11" "3" "2" "6"
## [82,] "Q61j_redd_feilinfo, %" "13" "18" "10" "25" "11" "18" "12"
## [83,] "Q61k_redd_uenighet, %" "6" "1" "2" "7" "0" "3" "4"
## [84,] "Q61l_redd_ut_av_sammenheng, %" "17" "29" "25" "37" "22" "34" "29"
## [85,] "Q61m_annet, %" "8" "7" "19" "16" "6" "18" "8"
## [86,] "Q61n_ingen, %" "14" "14" "7" "3" "13" "4" "19"
## [87,] "Q62a_nyttig_for_andre, %" "34" "37" "43" "48" "40" "56" "71"
## [88,] "Q62b_dele_synspunkt, %" "25" "27" "28" "27" "36" "33" "61"
## [89,] "Q62c_korrigere_debatt, %" "22" "9" "21" "26" "24" "24" "55"
## [90,] "Q62d_vise_identitet, %" "9" "11" "6" "19" "13" "10" "20"
## [91,] "Q62e_underholde, %" "32" "37" "29" "35" "37" "31" "39"
## [92,] "Q62f_kontakt_med_andre, %" "9" "12" "8" "11" "13" "13" "20"
## [93,] "Q62g_formidle_engasjement, %" "21" "26" "30" "45" "38" "59" "71"
## [94,] "Q62h_fremsta_informert, %" "6" "18" "10" "6" "8" "8" "12"
## [95,] "Q62i_starte_debatt, %" "2" "1" "1" "3" "1" "4" "16"
## [96,] "Q62j_rolle_i_samfunn, %" "3" "2" "4" "4" "3" "3" "19"
## [97,] "Q62k_annet, %" "5" "4" "6" "3" "4" "6" "5"
## [98,] "Q62l_ingen, %" "25" "21" "20" "11" "13" "12" "1"
## [99,] "Q63a_nyttig_nyhetsformidler, %" "" "" "" "" "" "" ""
## [100,] " Manglar" "0" "0" "0" "0" "1" "0" "1"
## [101,] " Passer delvis" "60" "58" "58" "55" "58" "55" "54"
## [102,] " Passer helt" "19" "20" "9" "20" "16" "20" "31"
## [103,] " Passer ikke" "21" "20" "34" "24" "23" "24" "14"
## [104,] " Vet ikke" "1" "2" "0" "1" "3" "1" "0"
## [105,] "Q63b_nyheter_tilfeldig, %" "" "" "" "" "" "" ""
## [106,] " Passer delvis" "60" "59" "55" "53" "61" "62" "62"
## [107,] " Passer helt" "24" "22" "14" "26" "18" "23" "28"
## [108,] " Passer ikke" "10" "11" "24" "18" "18" "13" "6"
## [109,] " Vet ikke" "6" "8" "7" "4" "4" "2" "4"
## [110,] "Q63c_folger_brukere_organisasjon, %" "" "" "" "" "" "" ""
## [111,] " Manglar" "1" "1" "0" "0" "0" "0" "0"
## [112,] " Passer delvis" "38" "47" "43" "48" "44" "56" "54"
## [113,] " Passer helt" "14" "12" "16" "20" "15" "27" "38"
## [114,] " Passer ikke" "38" "36" "39" "31" "39" "17" "9"
## [115,] " Vet ikke" "9" "4" "2" "1" "3" "0" "0"
## [116,] "Q63d_vet_ikke_hvorfra, %" "" "" "" "" "" "" ""
## [117,] " Manglar" "0" "0" "1" "0" "0" "0" "0"
## [118,] " Passer delvis" "36" "42" "24" "26" "36" "36" "20"
## [119,] " Passer helt" "10" "11" "3" "9" "8" "4" "8"
## [120,] " Passer ikke" "48" "40" "65" "60" "52" "58" "66"
## [121,] " Vet ikke" "6" "7" "6" "5" "3" "2" "6"
## [122,] "Q63e_enig_nyheter, %" "" "" "" "" "" "" ""
## [123,] " Manglar" "0" "0" "0" "1" "0" "0" "0"
## [124,] " Passer delvis" "36" "36" "25" "27" "29" "45" "36"
## [125,] " Passer helt" "6" "2" "1" "1" "1" "1" "4"
## [126,] " Passer ikke" "40" "42" "55" "47" "54" "37" "44"
## [127,] " Vet ikke" "19" "20" "19" "24" "16" "17" "16"
## [128,] "Q63f_samme_nyheter_ellers, %" "" "" "" "" "" "" ""
## [129,] " Passer delvis" "54" "55" "48" "39" "55" "53" "54"
## [130,] " Passer helt" "19" "19" "25" "33" "23" "27" "21"
## [131,] " Passer ikke" "10" "14" "11" "14" "15" "14" "11"
## [132,] " Vet ikke" "17" "13" "16" "14" "8" "6" "14"
## [133,] "Q64g_debatt_viktig, %" "" "" "" "" "" "" ""
## [134,] " Manglar" "6" "12" "6" "4" "2" "2" "1"
## [135,] " Passer delvis" "54" "48" "48" "54" "45" "47" "55"
## [136,] " Passer helt" "10" "11" "5" "7" "12" "7" "25"
## [137,] " Passer ikke" "29" "29" "41" "35" "41" "44" "19"
## [138,] "Q64h_delta_viktig, %" "" "" "" "" "" "" ""
## [139,] " Manglar" "18" "12" "8" "11" "6" "10" "2"
## [140,] " Passer delvis" "40" "46" "46" "47" "54" "48" "52"
## [141,] " Passer helt" "12" "7" "7" "9" "14" "6" "30"
## [142,] " Passer ikke" "29" "35" "39" "34" "26" "36" "15"
## [143,] "Q64i_diskusjon_horer_ikke_hjemme, %" "" "" "" "" "" "" ""
## [144,] " Manglar" "11" "11" "8" "13" "3" "6" "0"
## [145,] " Passer delvis" "31" "34" "34" "33" "34" "34" "28"
## [146,] " Passer helt" "17" "12" "12" "9" "13" "8" "4"
## [147,] " Passer ikke" "40" "44" "46" "45" "49" "52" "69"
## [148,] "Q64j_lett_delta, %" "" "" "" "" "" "" ""
## [149,] " Manglar" "9" "9" "9" "8" "5" "6" "2"
## [150,] " Passer delvis" "53" "60" "61" "57" "50" "60" "45"
## [151,] " Passer helt" "23" "18" "18" "20" "30" "21" "44"
## [152,] " Passer ikke" "15" "13" "12" "15" "14" "13" "9"
## [153,] "Q64k_liten_verdi, %" "" "" "" "" "" "" ""
## [154,] " Manglar" "10" "8" "8" "7" "7" "4" "2"
## [155,] " Passer delvis" "52" "47" "47" "41" "47" "52" "50"
## [156,] " Passer helt" "17" "21" "29" "34" "26" "28" "26"
## [157,] " Passer ikke" "21" "23" "16" "18" "20" "16" "21"
## [158,] "Q64l_private_ytringer, %" "" "" "" "" "" "" ""
## [159,] " Manglar" "18" "7" "9" "16" "9" "5" "2"
## [160,] " Passer delvis" "36" "48" "40" "37" "42" "40" "30"
## [161,] " Passer helt" "17" "19" "9" "5" "17" "15" "11"
## [162,] " Passer ikke" "29" "25" "42" "43" "32" "40" "56"
## [163,] "Q65a_grupper_private_medlinger, %" "" "" "" "" "" "" ""
## [164,] " Manglar" "8" "12" "4" "3" "8" "1" "0"
## [165,] " Passer delvis" "39" "43" "40" "34" "46" "35" "45"
## [166,] " Passer helt" "29" "21" "28" "43" "18" "43" "12"
## [167,] " Passer ikke" "25" "24" "27" "20" "27" "21" "42"
## [168,] "Q65b_selvsensur, %" "" "" "" "" "" "" ""
## [169,] " Manglar" "6" "8" "4" "2" "5" "1" "1"
## [170,] " Passer delvis" "29" "34" "23" "28" "24" "19" "30"
## [171,] " Passer helt" "10" "7" "6" "9" "7" "8" "9"
## [172,] " Passer ikke" "56" "51" "68" "60" "64" "72" "60"
## [173,] "Q65c_lettere_enn_f2f, %" "" "" "" "" "" "" ""
## [174,] " Manglar" "6" "9" "4" "6" "6" "8" "1"
## [175,] " Passer delvis" "29" "18" "13" "16" "16" "15" "26"
## [176,] " Passer helt" "10" "5" "1" "5" "3" "3" "4"
## [177,] " Passer ikke" "56" "67" "82" "73" "76" "74" "69"
## [178,] "Q65d_folger_sider_grupper, %" "" "" "" "" "" "" ""
## [179,] " Manglar" "9" "8" "7" "5" "6" "1" "1"
## [180,] " Passer delvis" "44" "48" "43" "46" "46" "56" "42"
## [181,] " Passer helt" "10" "6" "7" "22" "12" "26" "48"
## [182,] " Passer ikke" "37" "37" "43" "26" "36" "17" "9"
## [183,] "Q65e_naturlig_delta, %" "" "" "" "" "" "" ""
## [184,] " Manglar" "8" "5" "6" "3" "3" "1" "0"
## [185,] " Passer delvis" "39" "41" "40" "28" "50" "49" "56"
## [186,] " Passer helt" "9" "7" "2" "6" "11" "6" "30"
## [187,] " Passer ikke" "44" "46" "52" "62" "35" "44" "14"
## [188,] "Q65f_bor_respondere, %" "" "" "" "" "" "" ""
## [189,] " Manglar" "7" "12" "3" "5" "5" "3" "0"
## [190,] " Passer delvis" "40" "44" "35" "36" "45" "38" "52"
## [191,] " Passer helt" "10" "4" "9" "8" "13" "3" "26"
## [192,] " Passer ikke" "44" "40" "53" "51" "38" "56" "21"
## [193,] "Q65g_ikke_samfunnsdebatt, %" "" "" "" "" "" "" ""
## [194,] " Manglar" "15" "14" "8" "10" "8" "1" "4"
## [195,] " Passer delvis" "39" "45" "46" "43" "46" "56" "40"
## [196,] " Passer helt" "22" "18" "21" "32" "18" "21" "4"
## [197,] " Passer ikke" "24" "23" "25" "15" "28" "22" "52"yvars<-colnames(dplyr::select(mecin, Q67_utdanning_mor:Q73_frivillig_arbeid))
t<-tabmulti(data=mecin, xvarname=xvar, yvarnames = yvars, p.include = FALSE, decimals=0, compress=TRUE, freq.parenth = "none", cell="col.percent", overall.column = FALSE)
t## Variable 1låg (n = 251) 2pensjtvlok (n = 205) 3nærokmann (n = 268) 4ukultkvi (n = 211) 5pensmannsak (n = 190) 6kultpol (n = 109) 7polit (n = 73)
## [1,] "Q67_utdanning_mor, %" "" "" "" "" "" "" ""
## [2,] " Folkeskolenivå (Inntil 8 års skolegang)" "27" "61" "25" "9" "54" "25" "37"
## [3,] " Ungdomsskole/realskolenivå (9-10 a°rs skolegang)" "12" "16" "16" "10" "19" "13" "10"
## [4,] " Videregående skole/gymnasnivå (11-13 års skolegang) \t\t" "39" "17" "29" "28" "16" "34" "27"
## [5,] " Universitet/ høyskole, lavere grad (Bachelor, Cand.mag/ høy" "16" "4" "23" "36" "6" "20" "14"
## [6,] " Universitet/ høyskole, høyere grad (Master, Hovedfag, høysk" "6" "1" "7" "17" "5" "8" "12"
## [7,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [8,] "Q67_utdanning_far, %" "" "" "" "" "" "" ""
## [9,] " Folkeskolenivå (Inntil 8 års skolegang)" "22" "49" "18" "9" "48" "17" "33"
## [10,] " Ungdomsskole/realskolenivå (9-10 a°rs skolegang)" "15" "17" "13" "9" "16" "10" "10"
## [11,] " Videregående skole/gymnasnivå (11-13 års skolegang) \t\t" "35" "19" "28" "27" "19" "32" "19"
## [12,] " Universitet/ høyskole, lavere grad (Bachelor, Cand.mag/ høy" "18" "10" "25" "27" "7" "17" "18"
## [13,] " Universitet/ høyskole, høyere grad (Master, Hovedfag, høysk" "10" "5" "16" "29" "9" "23" "21"
## [14,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [15,] "Q68_foreldre_politisk_verv, %" "" "" "" "" "" "" ""
## [16,] " Nei" "86" "82" "79" "84" "82" "78" "70"
## [17,] " Ja, far" "9" "16" "13" "9" "14" "10" "19"
## [18,] " Ja, mor" "4" "1" "5" "5" "3" "6" "4"
## [19,] " Ja, både far og mor" "0" "0" "2" "2" "2" "6" "7"
## [20,] "Q69a_oppvekst_kultur, %" "" "" "" "" "" "" ""
## [21,] " Helt uenig" "17" "19" "13" "9" "18" "4" "11"
## [22,] " Delvis uenig" "32" "24" "24" "9" "29" "14" "18"
## [23,] " Delvis enig" "38" "39" "40" "36" "38" "46" "47"
## [24,] " Helt enig" "13" "18" "23" "45" "14" "37" "25"
## [25,] " Usikker" "0" "0" "0" "0" "0" "0" "0"
## [26,] "Q69b_oppvekst_politikk, %" "" "" "" "" "" "" ""
## [27,] " Helt uenig" "34" "17" "16" "12" "14" "4" "5"
## [28,] " Delvis uenig" "30" "33" "25" "27" "21" "19" "19"
## [29,] " Delvis enig" "26" "39" "37" "39" "43" "37" "38"
## [30,] " Helt enig" "8" "10" "22" "22" "22" "40" "37"
## [31,] " Usikker" "2" "1" "0" "0" "1" "0" "0"
## [32,] "Q69c_oppvekst_okonomi, %" "" "" "" "" "" "" ""
## [33,] " Helt uenig" "16" "24" "18" "11" "28" "13" "15"
## [34,] " Delvis uenig" "30" "33" "29" "26" "36" "28" "40"
## [35,] " Delvis enig" "34" "34" "35" "42" "23" "41" "26"
## [36,] " Helt enig" "18" "8" "17" "21" "13" "17" "18"
## [37,] " Usikker" "2" "1" "1" "0" "1" "1" "1"
## [38,] "Q71a_politisk_parti_, %" "2" "5" "9" "6" "15" "24" "64"
## [39,] "Q71b_fagforbund, %" "33" "42" "53" "54" "38" "69" "53"
## [40,] "Q71c_interesseorganisasjon, %" "2" "5" "3" "16" "8" "27" "27"
## [41,] "Q71d_miljovern, %" "4" "1" "1" "12" "3" "22" "11"
## [42,] "Q71e_bredskap, %" "4" "13" "7" "12" "8" "28" "14"
## [43,] "Q71f_solidaritet, %" "2" "1" "1" "12" "2" "18" "8"
## [44,] "Q71g_fadder, %" "6" "20" "14" "18" "15" "48" "14"
## [45,] "Q71a_forening, %" "0" "4" "2" "0" "9" "8" "7"
## [46,] "Q71b_velforening, %" "6" "30" "12" "5" "22" "36" "37"
## [47,] "Q71c_kultur, %" "6" "17" "9" "14" "15" "27" "19"
## [48,] "Q71d_ingen, %" "46" "23" "22" "14" "22" "0" "11"
## [49,] "Q71e_friluftsliv, %" "6" "10" "21" "26" "8" "40" "25"
## [50,] "Q71f_omsorg_inkludering, %" "2" "5" "0" "4" "1" "9" "0"
## [51,] "Q71g_helse, %" "4" "8" "1" "3" "6" "21" "5"
## [52,] "Q71h_motor_bat_bil, %" "10" "5" "11" "1" "23" "9" "22"
## [53,] "Q71i_religion, %" "4" "10" "2" "9" "7" "20" "8"
## [54,] "Q71j_human_etisk, %" "1" "3" "2" "7" "5" "13" "11"
## [55,] "Q71k_idrettslag, %" "12" "17" "34" "11" "17" "33" "30"
## [56,] "Q71l_hobbyforening, %" "0" "7" "1" "1" "4" "7" "7"
## [57,] "Q71m_studentsamfunn, %" "4" "0" "1" "10" "1" "5" "5"
## [58,] "Q71n_pensjonistforening, %" "2" "19" "1" "0" "18" "9" "8"
## [59,] "Q71o_annen, %" "10" "17" "9" "13" "17" "17" "18"
## [60,] "Q71p_ingen, %" "49" "26" "29" "28" "23" "8" "12"
## [61,] "Q73_frivillig_arbeid, %" "" "" "" "" "" "" ""
## [62,] " Ja, mindre enn 1 time pr. måned" "11" "12" "18" "16" "13" "17" "15"
## [63,] " Ja, 1-5 timer pr. måned" "12" "22" "14" "18" "17" "20" "22"
## [64,] " Ja, 6-15 timer pr. måned" "6" "11" "7" "8" "11" "18" "18"
## [65,] " Ja, mer enn 15 timer pr. måned" "6" "8" "6" "6" "8" "14" "12"
## [66,] " Nei, utfører ikke frivillig arbeid" "65" "47" "54" "54" "51" "31" "33"yvars<-colnames(dplyr::select(mecin, Q75a_Helsevesenet:Q76s_annet, Q77a_innvandring_truer_velferdss:Q79f_Lokalavisen))
t<-tabmulti(data=mecin, xvarname=xvar, yvarnames = yvars, p.include = FALSE, decimals=0, compress=TRUE, freq.parenth = "none", cell="col.percent", overall.column = FALSE)## Warning in mean.default(X[[i]], ...): argument is not numeric or logical: returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical: returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical: returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical: returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical: returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical: returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical: returning NA## Warning in var(if (is.vector(x) || is.factor(x)) x else as.double(x), na.rm = na.rm): NAs introduced by coercion
## Warning in var(if (is.vector(x) || is.factor(x)) x else as.double(x), na.rm = na.rm): NAs introduced by coercion
## Warning in var(if (is.vector(x) || is.factor(x)) x else as.double(x), na.rm = na.rm): NAs introduced by coercion## Warning in mean.default(y): argument is not numeric or logical: returning NA## Warning in var(if (is.vector(x) || is.factor(x)) x else as.double(x), na.rm = na.rm): NAs introduced by coercion## Warning in mean.default(X[[i]], ...): argument is not numeric or logical: returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical: returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical: returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical: returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical: returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical: returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical: returning NA## Warning in var(if (is.vector(x) || is.factor(x)) x else as.double(x), na.rm = na.rm): NAs introduced by coercion## Warning in mean.default(y): argument is not numeric or logical: returning NA## Warning in var(if (is.vector(x) || is.factor(x)) x else as.double(x), na.rm = na.rm): NAs introduced by coerciont## Variable 1låg (n = 114) 2pensjtvlok (n = 111) 3nærokmann (n = 126) 4ukultkvi (n = 112) 5pensmannsak (n = 99) 6kultpol (n = 63) 7polit (n = 43)
## [1,] "Q75a_Helsevesenet, %" "" "" "" "" "" "" ""
## [2,] " Svært riktig" "3" "3" "4" "2" "5" "2" "2"
## [3,] " Ganske riktig" "44" "54" "52" "53" "58" "62" "42"
## [4,] " Verken riktig eller uriktig" "41" "37" "33" "34" "27" "29" "49"
## [5,] " Ganske uriktig" "12" "6" "11" "11" "10" "8" "7"
## [6,] " Helt uriktig" "0" "0" "0" "1" "0" "0" "0"
## [7,] "Q75b_Neringslivet, %" "" "" "" "" "" "" ""
## [8,] " Svært riktig" "3" "2" "2" "2" "5" "5" "7"
## [9,] " Ganske riktig" "40" "51" "55" "47" "56" "68" "53"
## [10,] " Verken riktig eller uriktig" "48" "40" "39" "45" "31" "27" "33"
## [11,] " Ganske uriktig" "8" "6" "4" "5" "8" "0" "7"
## [12,] " Helt uriktig" "1" "1" "0" "1" "0" "0" "0"
## [13,] "Q75c_Innvandring, %" "" "" "" "" "" "" ""
## [14,] " Svært riktig" "2" "1" "2" "1" "4" "0" "2"
## [15,] " Ganske riktig" "30" "31" "41" "37" "38" "51" "23"
## [16,] " Verken riktig eller uriktig" "33" "53" "39" "34" "25" "37" "35"
## [17,] " Ganske uriktig" "30" "11" "16" "26" "25" "13" "33"
## [18,] " Helt uriktig" "5" "5" "2" "3" "7" "0" "7"
## [19,] "Q75d_Arbeidsmarkedet, %" "" "" "" "" "" "" ""
## [20,] " Svært riktig" "3" "3" "4" "1" "7" "3" "2"
## [21,] " Ganske riktig" "40" "52" "60" "49" "51" "67" "56"
## [22,] " Verken riktig eller uriktig" "41" "40" "33" "38" "30" "30" "26"
## [23,] " Ganske uriktig" "16" "5" "3" "11" "12" "0" "14"
## [24,] " Helt uriktig" "0" "1" "1" "1" "0" "0" "2"
## [25,] "Q75e_Klimadebatten, %" "" "" "" "" "" "" ""
## [26,] " Svært riktig" "3" "3" "4" "2" "6" "11" "7"
## [27,] " Ganske riktig" "28" "39" "41" "39" "33" "59" "49"
## [28,] " Verken riktig eller uriktig" "42" "47" "42" "38" "29" "25" "16"
## [29,] " Ganske uriktig" "20" "11" "10" "20" "26" "5" "21"
## [30,] " Helt uriktig" "7" "1" "2" "2" "5" "0" "7"
## [31,] "Q75f_EU_EoS, %" "" "" "" "" "" "" ""
## [32,] " Svært riktig" "3" "3" "6" "3" "8" "5" "5"
## [33,] " Ganske riktig" "32" "43" "44" "42" "43" "59" "37"
## [34,] " Verken riktig eller uriktig" "46" "46" "44" "46" "30" "37" "30"
## [35,] " Ganske uriktig" "14" "8" "5" "8" "16" "0" "26"
## [36,] " Helt uriktig" "5" "0" "1" "2" "2" "0" "2"
## [37,] "Q75g_Kriminalitet, %" "" "" "" "" "" "" ""
## [38,] " Svært riktig" "1" "4" "3" "2" "7" "2" "0"
## [39,] " Ganske riktig" "41" "50" "54" "43" "52" "67" "40"
## [40,] " Verken riktig eller uriktig" "40" "36" "35" "41" "21" "21" "26"
## [41,] " Ganske uriktig" "12" "8" "7" "12" "17" "11" "26"
## [42,] " Helt uriktig" "5" "2" "1" "2" "3" "0" "9"
## [43,] "Q76a_NRK, %" "60" "75" "82" "79" "71" "97" "70"
## [44,] "Q76b_TV2, %" "37" "43" "40" "23" "29" "46" "21"
## [45,] "Q76c_Aftenposten, %" "26" "23" "53" "49" "48" "76" "47"
## [46,] "Q76d_Dagbladet, %" "11" "11" "23" "13" "17" "19" "19"
## [47,] "Q76e_VG, %" "15" "14" "29" "21" "24" "27" "12"
## [48,] "Q76f_Dagens_Neringsliv, %" "4" "5" "17" "14" "7" "16" "16"
## [49,] "Q76g_Finansavisen, %" "3" "3" "7" "4" "4" "8" "9"
## [50,] "Q76h_Klassekampen, %" "4" "12" "13" "27" "19" "40" "23"
## [51,] "Q76i_Nationen, %" "2" "4" "5" "4" "1" "6" "5"
## [52,] "Q76j_Vart_Land, %" "4" "4" "5" "11" "3" "19" "2"
## [53,] "Q76k_Dagen, %" "1" "2" "4" "3" "2" "8" "0"
## [54,] "Q76l_Lokalavisen, %" "7" "16" "10" "7" "18" "30" "19"
## [55,] "Q76m_Regionsavisen, %" "4" "1" "6" "6" "2" "21" "5"
## [56,] "Q76n_Rights_no, %" "4" "0" "5" "3" "10" "10" "14"
## [57,] "Q76o_Document_no, %" "5" "4" "6" "2" "15" "6" "14"
## [58,] "Q76p_Fria_Tider, %" "1" "0" "2" "1" "0" "2" "0"
## [59,] "Q76q_Den_korte_avis, %" "0" "0" "2" "1" "0" "2" "0"
## [60,] "Q76r_Diskusjonstrader__sosmedier, %" "7" "0" "6" "5" "4" "5" "12"
## [61,] "Q76s_annet, %" "9" "10" "8" "7" "5" "5" "7"
## [62,] "Q77a_innvandring_truer_velferdss, %" "" "" "" "" "" "" ""
## [63,] " Helt enig" "31" "22" "8" "7" "25" "3" "23"
## [64,] " Delvis enig" "30" "37" "46" "19" "22" "14" "19"
## [65,] " Delvis uenig" "24" "30" "25" "34" "30" "37" "14"
## [66,] " Helt uenig" "16" "12" "21" "40" "22" "46" "44"
## [67,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [68,] "Q77b_innvandring_truer_kultur, %" "" "" "" "" "" "" ""
## [69,] " Helt enig" "35" "24" "10" "7" "27" "2" "23"
## [70,] " Delvis enig" "29" "39" "40" "16" "22" "16" "16"
## [71,] " Delvis uenig" "24" "27" "23" "27" "25" "24" "14"
## [72,] " Helt uenig" "12" "10" "27" "50" "25" "59" "47"
## [73,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [74,] "Q77c_innvandring_truer_orden, %" "" "" "" "" "" "" ""
## [75,] " Helt enig" "35" "23" "10" "7" "27" "2" "26"
## [76,] " Delvis enig" "29" "44" "35" "14" "17" "19" "7"
## [77,] " Delvis uenig" "24" "23" "33" "34" "30" "33" "12"
## [78,] " Helt uenig" "12" "10" "22" "45" "25" "46" "56"
## [79,] " Vet ikke" "0" "0" "0" "0" "0" "0" "0"
## [80,] "Q78a_nyhetsmedier_favoriserer, M (SD)" "NA (NA)" "NA (1)" "NA (NA)" "NA (NA)" "NA (1)" "NA (1)" "NA (1)"
## [81,] "Q78b_nyhetsmedier_pavirket, M (SD)" "NA (1)" "NA (1)" "NA (1)" "NA (NA)" "NA (1)" "NA (1)" "NA (1)"
## [82,] "Q79a_NRK, %" "" "" "" "" "" "" ""
## [83,] " Svært høy tillit" "11" "14" "22" "31" "20" "38" "23"
## [84,] " Nokså høy tillit" "57" "71" "68" "59" "53" "60" "56"
## [85,] " Nokså lav tillit" "23" "13" "10" "7" "20" "2" "14"
## [86,] " Ingen tillit" "10" "2" "0" "3" "7" "0" "7"
## [87,] "Q79b_TV2, %" "" "" "" "" "" "" ""
## [88,] " Svært høy tillit" "8" "8" "7" "4" "8" "11" "9"
## [89,] " Nokså høy tillit" "58" "70" "70" "61" "56" "70" "40"
## [90,] " Nokså lav tillit" "26" "18" "23" "33" "29" "19" "42"
## [91,] " Ingen tillit" "8" "4" "0" "3" "7" "0" "9"
## [92,] "Q79c_Aftenposten, %" "" "" "" "" "" "" ""
## [93,] " Svært høy tillit" "7" "5" "21" "23" "15" "33" "28"
## [94,] " Nokså høy tillit" "55" "68" "67" "70" "63" "63" "51"
## [95,] " Nokså lav tillit" "28" "20" "10" "6" "17" "3" "14"
## [96,] " Ingen tillit" "10" "6" "2" "1" "5" "0" "7"
## [97,] "Q79d_Dagbladet, %" "" "" "" "" "" "" ""
## [98,] " Svært høy tillit" "5" "5" "2" "4" "4" "11" "5"
## [99,] " Nokså høy tillit" "42" "41" "51" "48" "43" "44" "33"
## [100,] " Nokså lav tillit" "41" "48" "43" "41" "37" "44" "47"
## [101,] " Ingen tillit" "11" "6" "4" "7" "15" "0" "16"
## [102,] "Q79e_VG, %" "" "" "" "" "" "" ""
## [103,] " Svært høy tillit" "5" "5" "3" "2" "2" "8" "5"
## [104,] " Nokså høy tillit" "42" "41" "51" "47" "45" "44" "40"
## [105,] " Nokså lav tillit" "40" "49" "43" "46" "37" "46" "44"
## [106,] " Ingen tillit" "12" "5" "3" "5" "15" "2" "12"
## [107,] "Q79f_Lokalavisen, %" "" "" "" "" "" "" ""
## [108,] " Svært høy tillit" "9" "10" "6" "4" "10" "13" "7"
## [109,] " Nokså høy tillit" "51" "74" "60" "59" "58" "65" "56"
## [110,] " Nokså lav tillit" "32" "16" "33" "33" "30" "22" "33"
## [111,] " Ingen tillit" "8" "0" "2" "4" "2" "0" "5"MFA Beskriving av delanalyser
# PLATFORMAR
head(res$separate.analyses$Platform$eig, n=7)## eigenvalue percentage of variance cumulative percentage of variance
## dim 1 0.15493433 15.493433 15.49343
## dim 2 0.12589885 12.589885 28.08332
## dim 3 0.08111768 8.111768 36.19509
## dim 4 0.07306988 7.306988 43.50207
## dim 5 0.06583692 6.583692 50.08577
## dim 6 0.05853913 5.853913 55.93968
## dim 7 0.05664676 5.664676 61.60436res$separate.analyses$Platform$var$contrib## Dim 1 Dim 2 Dim 3 Dim 4 Dim 5
## papaviNEI 3.35126763 0.02616492 1.02874318 0.02049612 0.009664392
## papiravis 8.54407342 0.06670759 2.62278582 0.05225497 0.024639417
## nettaviNEI 0.30733179 4.82407945 10.41417971 10.79396900 0.140592970
## nettavis 0.13338200 2.09365048 4.51975399 4.68458255 0.061017349
## nyhnettNEI 0.12415956 3.57087813 1.13980532 11.02185776 0.030418158
## nyhnettsted 0.16819645 4.83739649 1.54407125 14.93108810 0.041206864
## tvdirNEI 8.20266398 1.44598316 0.81189482 4.25740474 0.334960650
## tvdirekte 7.37696536 1.30042724 0.73016766 3.82884479 0.301242756
## tvopptaknei 0.94712142 3.44262695 0.32196804 0.22840649 1.061355233
## tvopptak 2.94448924 10.70272276 1.00096082 0.71008896 3.299628732
## radiodirNEI 6.69619228 3.87367490 2.18477066 5.75242233 0.933550288
## radiodirekt 7.63565806 4.41714571 2.49129073 6.55947860 1.064526000
## radioopptNEI 0.01938463 0.23282650 0.15548820 0.08607859 0.351364182
## radioopptak 0.31153862 3.74185444 2.49891754 1.38340593 5.646924350
## sosmedierNEI 1.54936932 4.44894187 1.39871979 1.67806697 0.823401151
## sosmedier 0.55460379 1.59251897 0.50067811 0.60067170 0.294740185
## dataspillNEI 0.26951871 0.40377137 0.15828019 0.21444238 1.198574322
## dataspill 1.64379728 2.46260559 0.96535245 1.30788619 7.310116658
## skjonnlittNEI 0.19400090 0.10193122 0.77809619 0.02041789 5.563990111
## skjonnlitt 1.01031640 0.53083660 4.05216329 0.10633212 28.976104342
## faglittNEI 0.05819101 0.06640717 0.07042984 0.05311206 1.665766886
## faglitt 1.15117000 1.31370696 1.39328599 1.05069510 32.953214475
## musikkNEI 0.14395806 4.59251915 1.30998801 6.38457311 1.853563820
## musikk 0.13538681 4.31908094 1.23199143 6.00443615 1.743202781
## filmnei 0.09906919 0.87639497 2.31581741 0.10261459 0.116289206
## film 0.97718244 8.64444128 22.84238078 1.01215302 1.147034445
## tvserieNEI 0.90723277 3.35766306 4.33283549 0.00874355 0.446420226
## tvserie 3.01135697 11.14501413 14.38188167 0.02902226 1.481792435
## nyhtvNEI 10.68936322 0.80328136 2.02128122 3.79750065 0.105862889
## nyhTV 7.91324219 0.59466217 1.49633683 2.81125655 0.078369371
## nyhradioNEI 7.33344671 2.98658430 1.98743263 4.34631370 0.375865307
## nyhradio 9.22743925 3.75792261 2.50072232 5.46882622 0.472939181
## Q17a_Youtube_0 3.20667215 1.72473291 2.41549209 0.34869320 0.046150033
## Q17a_Youtube_Youtube 3.16225841 1.70084465 2.38203652 0.34386365 0.045510836res$separate.analyses$Platform$var$v.test## Dim 1 Dim 2 Dim 3 Dim 4 Dim 5
## papaviNEI 21.188969 1.687726 -8.494595 -1.137985 -0.7417431
## papiravis -21.188969 -1.687726 8.494595 1.137985 0.7417431
## nettaviNEI -4.078493 -14.565998 17.178784 16.599000 -1.7982029
## nettavis 4.078493 14.565998 -17.178784 -16.599000 1.7982029
## nyhnettNEI 3.321830 -16.058755 7.282602 21.493646 -1.0718024
## nyhnettsted -3.321830 16.058755 -7.282602 -21.493646 1.0718024
## tvdirNEI 24.249341 -9.177854 -5.520219 11.997488 -3.1943340
## tvdirekte -24.249341 9.177854 5.520219 -11.997488 3.1943340
## tvopptaknei -12.119538 -20.828850 -5.112974 4.087265 8.3632402
## tvopptak 12.119538 20.828850 5.112974 -4.087265 -8.3632402
## radiodirNEI 23.258008 -15.946200 9.612701 -14.804008 5.6609374
## radiodirekt -23.258008 15.946200 -9.612701 14.804008 -5.6609374
## radioopptNEI -3.534150 -11.041030 7.242508 -5.114454 9.8083510
## radioopptak 3.534150 11.041030 -7.242508 5.114454 -9.8083510
## sosmedierNEI -8.911308 -13.612235 6.126512 6.368894 -4.2347783
## sosmedier 8.911308 13.612235 -6.126512 -6.368894 4.2347783
## dataspillNEI -8.497961 -9.376162 -4.712132 -5.205602 -11.6819058
## dataspill 8.497961 9.376162 4.712132 5.205602 11.6819058
## skjonnlittNEI 6.742048 -4.405352 -9.769910 -1.502072 -23.5366193
## skjonnlitt -6.742048 4.405352 9.769910 1.502072 23.5366193
## faglittNEI -6.756151 -6.506028 5.378160 -4.432649 -23.5634819
## faglitt 6.756151 6.506028 -5.378160 4.432649 23.5634819
## musikkNEI -3.247071 -16.532415 7.087472 -14.850294 -7.5951867
## musikk 3.247071 16.532415 -7.087472 14.850294 7.5951867
## filmnei -6.373504 -17.088187 -22.296931 -4.454602 4.5013174
## film 6.373504 17.088187 22.296931 4.454602 -4.5013174
## tvserieNEI -12.161476 -21.090289 -19.230782 -0.819910 5.5610883
## tvserie 12.161476 21.090289 19.230782 0.819910 -5.5610883
## nyhtvNEI 26.497706 -6.547918 -8.337381 10.846176 -1.7189576
## nyhTV -26.497706 6.547918 8.337381 -10.846176 1.7189576
## nyhradioNEI 25.001333 -14.382472 9.417578 -13.217977 3.6896584
## nyhradio -25.001333 14.382472 -9.417578 13.217977 -3.6896584
## Q17a_Youtube_0 -15.504388 -10.250035 9.736752 -3.511110 1.2124792
## Q17a_Youtube_Youtube 15.504388 10.250035 -9.736752 3.511110 -1.2124792# STOFFOMRÅDE
head(res$separate.analyses$Stoffomraade$eig, n=7)## eigenvalue percentage of variance cumulative percentage of variance
## dim 1 0.17850194 17.850194 17.85019
## dim 2 0.09576649 9.576649 27.42684
## dim 3 0.07235663 7.235663 34.66251
## dim 4 0.05750366 5.750366 40.41287
## dim 5 0.04922411 4.922411 45.33528
## dim 6 0.04770164 4.770164 50.10545
## dim 7 0.04300500 4.300500 54.40595res$separate.analyses$Stoffomraade$var$contrib## Dim 1 Dim 2 Dim 3 Dim 4 Dim 5
## Q11_1_utenriksnyheter_0 5.60003048 1.549138452 0.4054730558 9.352442e-07 12.76245928
## Q11_1_utenriksnyheter_Utenriksnyheter 1.87014971 0.517340190 0.1354091414 3.123281e-07 4.26206780
## Q11_2_innenriksnyheter_0 5.11214653 0.452968761 0.3788718975 5.615442e+00 5.22288424
## Q11_2_innenriksnyheter_Innenriksnyheter 0.84786821 0.075126526 0.0628372903 9.313416e-01 0.86623446
## Q11_4_lokalnyheter_by_kom_0 1.68466788 0.021855807 4.9425500512 1.486654e+01 1.48998464
## Q11_4_lokalnyheter_by_kom_Lokale nyheter fra byen/kommunen jeg bor i 0.47423627 0.006152439 1.3913344648 4.184951e+00 0.41943267
## Q11_6_ledere_kommentarer_0 2.95139600 0.184627501 0.7810777965 7.042072e-02 0.04911424
## Q11_6_ledere_kommentarer_Ledere og kommentarer 5.70361803 0.356795478 1.5094448215 1.360891e-01 0.09491403
## Q11_7_leserinnlegg_debatt_kronik_0 3.15171889 0.020916776 1.0673590833 5.140941e-01 0.90394334
## Q11_7_leserinnlegg_debatt_kronik_Leserinnlegg / debatt / kronikker 3.59390034 0.023851368 1.2171079696 5.862208e-01 1.03076524
## Q11_8_portrettintervjuer_0 1.34924575 1.629188935 0.0177524387 2.455897e-01 0.03965159
## Q11_8_portrettintervjuer_Portrettintervjuer 3.11915704 3.766323611 0.0410397025 5.677489e-01 0.09166567
## Q11_9_politikk_andre_land_0 3.84845910 1.125046129 1.2478103764 3.180699e-01 1.20498570
## Q11_9_politikk_andre_land_Politikk i andre land 6.18552335 1.808255961 2.0055715868 5.112251e-01 1.93674065
## Q11_10_nasjonal_politikk_0 5.79386883 1.735063073 0.2810724448 6.758736e-01 0.89604502
## Q11_10_nasjonal_politikk_Nasjonal politikk 4.92665750 1.475363310 0.2390022466 5.747106e-01 0.76192731
## Q11_11_lokalpolitikk_0 3.34811051 0.406822320 0.8462423432 7.802898e+00 2.10166540
## Q11_11_lokalpolitikk_Lokalpolitikk 3.18412142 0.386896329 0.8047937386 7.420715e+00 1.99872668
## Q11_12_kriminalstoff_0 1.25451905 0.034117524 1.3988852470 4.577810e-03 0.50184602
## Q11_12_kriminalstoff_Kriminalstoff / forbrytelser 2.25226520 0.061251929 2.5114489522 8.218642e-03 0.90097502
## Q11_13_neringslivstoff_0 1.77838958 1.990807217 0.8547464603 1.714078e+00 1.44207925
## Q11_13_neringslivstoff_Næringslivstoff 3.16387914 3.541784932 1.5206535863 3.049465e+00 2.56555960
## Q11_16_sport_0 0.07240611 2.311873889 2.0860567203 1.332213e+00 0.32853800
## Q11_16_sport_Sport 0.09669872 3.087518875 2.7859389424 1.779176e+00 0.43876411
## Q11_17_sosialomsorg_0 0.97942470 2.086981901 1.6745217616 3.510103e-01 4.33133188
## Q11_17_sosialomsorg_Sosialomsorg 2.21988058 4.730175379 3.7953283663 7.955701e-01 9.81702784
## Q11_18_fattigdom_utviklingsland_0 1.23360791 0.306238000 2.6921058510 6.019967e-01 0.20427117
## Q11_18_fattigdom_utviklingsland_Fattigdom i utviklingsland 4.03125443 1.000742037 8.7974173346 1.967239e+00 0.66752899
## Q11_19_natur_miljovern_0 1.91477397 0.051566343 2.4780056935 2.585683e+00 0.02323080
## Q11_19_natur_miljovern_Natur- og miljøvernstoff 3.01482365 0.081191530 3.9016355354 4.071174e+00 0.03657704
## Q11_20_kulturanmeldelser_0 1.51111652 2.628945136 0.0003777119 7.173948e-01 4.01213265
## Q11_20_kulturanmeldelser_Anmeldelser av kultur (f.eks film, kunst, musikk) 1.98394975 3.451550550 0.0004958991 9.418700e-01 5.26754190
## Q11_21_kjendiser__0 0.16317389 2.855444955 2.8820646009 2.143634e-01 0.55447494
## Q11_21_kjendiser__Kjente personer fra TV, musikk-og underholdningsliv 0.48500162 8.487236667 8.5663582181 6.371522e-01 1.64806540
## Q11_23_livsstil__0 0.08395583 3.560920514 1.0944059113 7.267348e-02 0.16232289
## Q11_23_livsstil__Livsstil (mote, interiør, skjønnhet) 0.28534682 12.102760521 3.7196372690 2.470007e-01 0.55169866
## Q11_24_samliv_helse_relasjoner_0 1.08430287 5.315212347 0.3265112472 1.958282e-01 1.76288343
## Q11_24_samliv_helse_relasjoner_Samliv, helse og relasjoner 1.72743369 8.467815693 0.5201743378 3.119795e-01 2.80849963
## Q11_25_uteliv_trender_0 0.24088474 0.535362172 1.5356650460 1.220111e+00 1.11621437
## Q11_25_uteliv_trender_Uteliv og trender 1.24803215 2.773729873 7.9563335573 6.321437e+00 5.78314516
## Q11_26_okonomitips_0 1.31759164 0.039269036 2.0688739141 1.599947e+00 4.84506709
## Q11_26_okonomitips_Råd og tips om personlig økonomi 2.38716603 0.071146254 3.7483127385 2.898727e+00 8.77812155
## Q11_27_bil_motor_0 0.20522392 3.065133601 2.9418821766 4.300848e-01 1.24130016
## Q11_27_bil_motor_Bil / motor 0.55325830 8.263220995 7.9309504038 1.159456e+00 3.34639167
## Q11_28_data_ny_teknologi_0 0.66793149 1.207742736 1.6425083871 6.707165e+00 0.24832340
## Q11_28_data_ny_teknologi_Data/ PC og ny teknologi 1.29883186 2.348526429 3.1939536809 1.304248e+01 0.48287939res$separate.analyses$Stoffomraade$var$v.test## Dim 1 Dim 2 Dim 3 Dim 4 Dim 5
## Q11_1_utenriksnyheter_0 -20.963994 8.0762409 3.5915136 -0.004862589 16.6193294
## Q11_1_utenriksnyheter_Utenriksnyheter 20.963994 -8.0762409 -3.5915136 0.004862589 -16.6193294
## Q11_2_innenriksnyheter_0 -18.725445 4.0827233 -3.2455955 11.139064827 9.9392402
## Q11_2_innenriksnyheter_Innenriksnyheter 18.725445 -4.0827233 3.2455955 -11.139064827 -9.9392402
## Q11_4_lokalnyheter_by_kom_0 -11.270032 -0.9402358 -12.2902649 19.001996122 -5.5657846
## Q11_4_lokalnyheter_by_kom_Lokale nyheter fra byen/kommunen jeg bor i 11.270032 0.9402358 12.2902649 -19.001996122 5.5657846
## Q11_6_ledere_kommentarer_0 -22.565366 4.1339207 7.3908343 1.978359082 -1.5286211
## Q11_6_ledere_kommentarer_Ledere og kommentarer 22.565366 -4.1339207 -7.3908343 -1.978359082 1.5286211
## Q11_7_leserinnlegg_debatt_kronik_0 -19.921379 -1.1887167 7.3810581 4.566602840 -5.6025243
## Q11_7_leserinnlegg_debatt_kronik_Leserinnlegg / debatt / kronikker 19.921379 1.1887167 -7.3810581 -4.566602840 5.6025243
## Q11_8_portrettintervjuer_0 -16.213794 -13.0499893 1.1840930 3.926181919 -1.4596101
## Q11_8_portrettintervjuer_Portrettintervjuer 16.213794 13.0499893 -1.1840930 -3.926181919 1.4596101
## Q11_9_politikk_andre_land_0 -24.296581 9.6221517 8.8083325 -3.964507630 7.1393742
## Q11_9_politikk_andre_land_Politikk i andre land 24.296581 -9.6221517 -8.8083325 3.964507630 -7.1393742
## Q11_10_nasjonal_politikk_0 -25.114038 10.0664227 3.5217541 4.868455619 5.1863833
## Q11_10_nasjonal_politikk_Nasjonal politikk 25.114038 -10.0664227 -3.5217541 -4.868455619 -5.1863833
## Q11_11_lokalpolitikk_0 -19.603756 5.0052652 -6.2748660 16.986097524 -8.1562149
## Q11_11_lokalpolitikk_Lokalpolitikk 19.603756 -5.0052652 6.2748660 -16.986097524 8.1562149
## Q11_12_kriminalstoff_0 -14.363590 -1.7349959 -9.6567972 0.492469704 4.7706450
## Q11_12_kriminalstoff_Kriminalstoff / forbrytelser 14.363590 1.7349959 9.6567972 -0.492469704 -4.7706450
## Q11_13_neringslivstoff_0 -17.051856 13.2147251 -7.5265258 -9.501667054 -8.0634381
## Q11_13_neringslivstoff_Næringslivstoff 17.051856 -13.2147251 7.5265258 9.501667054 8.0634381
## Q11_16_sport_0 -3.154180 13.0546810 -10.7790285 7.679127781 3.5282485
## Q11_16_sport_Sport 3.154180 -13.0546810 10.7790285 -7.679127781 -3.5282485
## Q11_17_sosialomsorg_0 -13.719438 -14.6688295 11.4212565 4.661621472 -15.1505715
## Q11_17_sosialomsorg_Sosialomsorg 13.719438 14.6688295 -11.4212565 -4.661621472 15.1505715
## Q11_18_fattigdom_utviklingsland_0 -17.599568 -6.4228574 16.5530176 -6.978092549 -3.7608364
## Q11_18_fattigdom_utviklingsland_Fattigdom i utviklingsland 17.599568 6.4228574 -16.5530176 6.978092549 3.7608364
## Q11_19_natur_miljovern_0 -17.029983 -2.0470288 12.3345782 -11.232316465 -0.9850426
## Q11_19_natur_miljovern_Natur- og miljøvernstoff 17.029983 2.0470288 -12.3345782 11.232316465 0.9850426
## Q11_20_kulturanmeldelser_0 -14.339572 -13.8536208 0.1443395 -5.607800900 12.2699372
## Q11_20_kulturanmeldelser_Anmeldelser av kultur (f.eks film, kunst, musikk) 14.339572 13.8536208 -0.1443395 5.607800900 -12.2699372
## Q11_21_kjendiser__0 -6.175254 -18.9213306 -16.5233843 4.017270115 5.9777521
## Q11_21_kjendiser__Kjente personer fra TV, musikk-og underholdningsliv 6.175254 18.9213306 16.5233843 -4.017270115 -5.9777521
## Q11_23_livsstil__0 -4.661221 -22.2351836 -10.7147283 -2.461435657 3.4035460
## Q11_23_livsstil__Livsstil (mote, interiør, skjønnhet) 4.661221 22.2351836 10.7147283 2.461435657 -3.4035460
## Q11_24_samliv_helse_relasjoner_0 -12.861624 -20.8576859 -4.4935260 -3.102304143 -8.6119158
## Q11_24_samliv_helse_relasjoner_Samliv, helse og relasjoner 12.861624 20.8576859 4.4935260 3.102304143 8.6119158
## Q11_25_uteliv_trender_0 -9.359307 -10.2199372 -15.0454439 -11.955424544 10.5798706
## Q11_25_uteliv_trender_Uteliv og trender 9.359307 10.2199372 15.0454439 11.955424544 -10.5798706
## Q11_26_okonomitips_0 -14.763468 -1.8668457 -11.7783016 -9.233726582 -14.8667265
## Q11_26_okonomitips_Råd og tips om personlig økonomi 14.763468 1.8668457 11.7783016 9.233726582 14.8667265
## Q11_27_bil_motor_0 -6.680073 18.9093770 -16.1026563 -5.488712927 -8.6272640
## Q11_27_bil_motor_Bil / motor 6.680073 -18.9093770 16.1026563 5.488712927 8.6272640
## Q11_28_data_ny_teknologi_0 -10.756836 10.5947598 -10.7396485 -19.347031661 -3.4442518
## Q11_28_data_ny_teknologi_Data/ PC og ny teknologi 10.756836 -10.5947598 10.7396485 19.347031661 3.4442518# TV
head(res$separate.analyses$TV$eig, n=7)## eigenvalue percentage of variance cumulative percentage of variance
## dim 1 0.09418380 9.418380 9.41838
## dim 2 0.08535511 8.535511 17.95389
## dim 3 0.07397228 7.397228 25.35112
## dim 4 0.04130635 4.130635 29.48175
## dim 5 0.03853954 3.853954 33.33571
## dim 6 0.03582455 3.582455 36.91816
## dim 7 0.03176386 3.176386 40.09455res$separate.analyses$TV$var$contrib## Dim 1 Dim 2 Dim 3 Dim 4 Dim 5
## notDagsreveyen 6.6893451712 0.462134450 1.3656663836 3.033431e-01 1.408466215
## Dagsreveyen 2.3177167776 0.160119824 0.4731745498 1.051020e-01 0.488003787
## notDistriksnyheter 6.1815270134 0.127251760 0.0006476504 5.371323e-05 2.988836525
## Distriksnyheter 3.3705308931 0.069385119 0.0003531369 2.928760e-05 1.629688881
## notDagsnytt_18 1.3000475287 0.285101050 2.3893631332 8.039294e-02 0.008657281
## Dagsnytt_18 2.0529527521 0.450213528 3.7731309909 1.269514e-01 0.013671030
## notDebatten_NRK 1.6940362236 0.203045458 0.4954828534 7.633053e-01 0.249319869
## Debatten_NRK 3.7895934484 0.454216814 1.1084052094 1.707529e+00 0.557733611
## notTV2nyhetene 2.0148550536 0.006568066 3.0455226220 1.882566e-02 2.809613095
## TV2nyhetene 1.2872045428 0.004196056 1.9456538808 1.202691e-02 1.794941394
## notUrix 1.2903755023 0.375678389 2.9648078122 1.652768e-01 0.150269415
## Urix 1.9846660380 0.577813310 4.5600318386 2.542045e-01 0.231122339
## notBrennpunkt 2.9530501988 0.450389716 1.5842212210 5.903106e-01 0.131224917
## Brennpunkt 2.5752448209 0.392768056 1.3815401770 5.147878e-01 0.114436351
## notNytt_pa_Nytt 1.0371268577 2.955775390 0.1140842251 3.146945e+00 0.981379173
## Nytt_pa_Nytt 0.6044183012 1.722571088 0.0664861709 1.833981e+00 0.571929584
## notLindmo 3.6652703200 0.199944799 0.5352343287 1.508647e-01 2.258813866
## Lindmo 5.0511436749 0.275545818 0.7376114878 2.079081e-01 3.112892741
## notSkavlan 2.2831298081 0.209357623 0.5768447900 3.554219e-02 0.822491034
## Skavlan 4.3044117307 0.394704412 1.0875323305 6.700811e-02 1.550652111
## notFolkeopplysningen 0.0185630348 1.256376584 0.0845329963 1.527567e+00 0.024040851
## Folkeopplysningen 0.0560010881 3.790245325 0.2550197117 4.608374e+00 0.072526602
## notTrygdekontoret 0.0156536993 1.165973133 0.2890242446 6.590935e-01 0.015688161
## Trygdekontoret 0.0636657521 4.742173413 1.1755014330 2.680624e+00 0.063805914
## notStjernekamp 1.5559992548 0.001231096 0.3870073730 1.769664e-01 0.787884804
## Stjernekamp 2.5009151660 0.001978707 0.6220263959 2.844333e-01 1.266345758
## notFarmen 0.6223655819 0.012176853 2.4210155023 8.811502e-02 0.777833648
## Farmen 1.2177833757 0.023826462 4.7372035292 1.724148e-01 1.521987902
## notParadise_Hotel 0.0032496637 0.094974661 0.1658659362 6.868622e-02 0.001035450
## Paradise_Hotel 0.0550005587 1.607446145 2.8072809710 1.162514e+00 0.017524995
## notSenkveld 0.2047766934 0.136032742 2.8059869415 3.216273e-03 0.312322418
## Senkveld 0.4829277054 0.320807895 6.6173977754 7.584981e-03 0.736554274
## notLuksusfellen 0.0103277418 0.261707223 1.1720562503 1.148657e-01 0.861066652
## Luksusfellen 0.0263306289 0.667223860 2.9881632125 2.928508e-01 2.195293693
## notandenes_makt 0.0372574848 0.025737957 0.8095774793 7.621560e-03 0.309065934
## andenes_makt 0.1722610768 0.119000202 3.7431052868 3.523851e-02 1.428975437
## notUt_i_naturen 2.4506613096 0.237000383 0.3276227824 3.996571e-01 3.383864791
## Ut_i_naturen 2.6277322134 0.254124688 0.3512949488 4.285341e-01 3.628363692
## notFodeavdelingen 0.0084409062 0.076648663 0.4862156881 7.674998e-03 0.028180271
## Fodeavdelingen 0.0711923799 0.646470959 4.1008454750 6.473255e-02 0.237678339
## notDeringenskulle 3.5531919151 0.275519398 0.1153231830 9.711826e-01 1.670068515
## Deringenskulle 2.9960075788 0.232314557 0.0972390849 8.188892e-01 1.408181165
## notTid_for_hjem 0.5794086873 0.067995166 1.4789700512 3.279766e-02 0.025022765
## Tid_for_hjem 1.1337295757 0.133046212 2.8939022239 6.417522e-02 0.048962070
## notGod_morgen_Norge 0.4190001757 0.005208241 1.8278431575 7.269910e-02 0.088637786
## God_morgen_Norge 1.2977034012 0.016130665 5.6610913793 2.251595e-01 0.274523885
## notBrille 0.0026701525 2.468781315 0.1891691924 3.198351e+00 0.007483320
## Brille 0.0041673451 3.853062267 0.2952390609 4.991712e+00 0.011679325
## notTop_Gear 0.2529204796 0.583221300 0.0022098025 1.575484e-01 3.704324326
## Top_Gear 0.6492883955 1.497224830 0.0056729258 4.044527e-01 9.509608717
## notGame_of_Thrones 0.8118411097 1.829242938 0.0803037500 4.016361e-01 0.290611392
## Game_of_Thrones 2.2517908675 5.073742255 0.2227372435 1.114012e+00 0.806064230
## notSide_om_side 0.2273135203 2.556103475 0.0597106739 6.426293e-01 0.665395977
## Side_om_side 0.3233074055 3.635539065 0.0849263301 9.140099e-01 0.946390899
## notSkam 0.0598715586 1.773071302 0.1258118165 2.032543e-01 1.872141887
## Skam 0.1660647968 4.917939875 0.3489622490 5.637632e-01 5.192730393
## notThe_Wire 0.0477253539 0.351553477 0.1419402801 4.229209e-02 0.272894433
## The_Wire 0.5041952706 3.713992383 1.4995303789 4.467955e-01 2.882997639
## notModern_Family 0.3282947348 1.735003582 0.1531964716 4.455275e-02 0.007125833
## Modern_Family 1.1709875892 6.188547810 0.5464332744 1.589143e-01 0.025416984
## notThe_Crown 0.0030295615 0.482887336 0.0785593781 9.905273e-01 0.587920572
## The_Crown 0.0216544792 3.451546985 0.5615210094 7.080019e+00 4.202295903
## notCriminal_Minds 0.0001894728 0.107697483 1.5234503342 2.345199e+00 0.330213984
## Criminal_Minds 0.0005144235 0.292401457 4.1362071250 6.367276e+00 0.896539521
## notNobel 0.0978811191 1.132437676 0.0098649228 6.738258e-01 0.158423960
## Nobel 0.2714913147 3.141024502 0.0273621807 1.868980e+00 0.439418037
## notVikings 0.0259912450 0.738098212 0.0257386034 6.410076e-01 1.116033131
## Vikings 0.0826718609 2.347711805 0.0818682690 2.038890e+00 3.549831330
## notGreys_Anatomy 0.0002824641 0.264301537 1.4058534812 6.315964e-01 0.500451494
## Greys_Anatomy 0.0011538957 1.079699897 5.7430610296 2.580138e+00 2.044397593
## notHouse_of_Cards 0.1578301872 1.209876324 0.1594573637 5.786227e-01 0.246728854
## House_of_Cards 0.6930287919 5.312539648 0.7001736874 2.540719e+00 1.083380832
## notKampen_om_tungtvannet 0.8252466688 1.005337062 0.2274945844 2.295479e+00 0.178334239
## Kampen_om_tungtvannet 1.0151945801 1.236736572 0.2798572570 2.823832e+00 0.219381622
## notDownton_Abbey 0.8494988702 0.164274990 0.1254077406 3.736699e+00 2.659801059
## Downton_Abbey 1.9317371568 0.373556826 0.2851737663 8.497152e+00 6.048314738
## notNarcos 0.2282779520 0.967598017 0.0907628106 1.510911e-01 0.563323136
## Narcos 1.2266135290 5.199226680 0.4876988355 8.118629e-01 3.026922985
## notBroen 1.0559726053 0.790449710 0.2219667484 1.910243e+00 0.845075404
## Broen 1.3552769425 1.014494373 0.2848808905 2.451681e+00 1.084603146
## notMedhjartetrette 1.1061912503 0.135233683 0.0101216853 3.510074e+00 0.039505967
## Medhjartetrette 2.0349538050 0.248776418 0.0186198924 6.457147e+00 0.072675333
## notBig_Bang_Theory 0.5492961127 1.099541036 1.0833647043 2.331124e-01 0.294688617
## Big_Bang_Theory 1.0387898260 2.079373976 2.0487824448 4.408456e-01 0.557294198res$separate.analyses$TV$var$v.test## Dim 1 Dim 2 Dim 3 Dim 4 Dim 5
## notDagsreveyen 22.5957846 -5.6538783 9.0480364 3.18656646 -6.6324504
## Dagsreveyen -22.5957846 5.6538783 -9.0480364 -3.18656646 6.6324504
## notDistriksnyheter 23.2693539 3.1783008 0.2110829 0.04542525 -10.3502941
## Distriksnyheter -23.2693539 -3.1783008 -0.2110829 -0.04542525 10.3502941
## notDagsnytt_18 13.7864562 -6.1460926 16.5638205 2.27039949 -0.7196626
## Dagsnytt_18 -13.7864562 6.1460926 -16.5638205 -2.27039949 0.7196626
## notDebatten_NRK 17.6307144 -5.8107456 8.4502447 7.83750770 -4.3266541
## Debatten_NRK -17.6307144 5.8107456 -8.4502447 -7.83750770 4.3266541
## notTV2nyhetene 13.6813296 0.7436213 -14.9067759 0.87579359 -10.3346276
## TV2nyhetene -13.6813296 -0.7436213 14.9067759 -0.87579359 10.3346276
## notUrix 13.6252430 -6.9987579 18.3033626 3.22933020 -2.9743130
## Urix -13.6252430 6.9987579 -18.3033626 -3.22933020 2.9743130
## notBrennpunkt 17.7023717 -6.5813795 11.4908025 5.24151238 -2.3870932
## Brennpunkt -17.7023717 6.5813795 -11.4908025 -5.24151238 2.3870932
## notNytt_pa_Nytt 9.6463334 -15.5027486 -2.8353425 11.12784868 6.0024689
## Nytt_pa_Nytt -9.6463334 15.5027486 2.8353425 -11.12784868 -6.0024689
## notLindmo 22.2282246 -4.9423499 -7.5278361 2.98652313 11.1623893
## Lindmo -22.2282246 4.9423499 7.5278361 -2.98652313 -11.1623893
## notSkavlan 19.3240225 -5.5706168 -8.6081163 1.59670468 7.4193010
## Skavlan -19.3240225 5.5706168 8.6081163 -1.59670468 -7.4193010
## notFolkeopplysningen 2.0558944 -16.1013725 3.8880859 12.35084589 1.4966368
## Folkeopplysningen -2.0558944 16.1013725 -3.8880859 -12.35084589 -1.4966368
## notTrygdekontoret 2.1204386 -17.4216042 8.0747810 9.11194326 -1.3579019
## Trygdekontoret -2.1204386 17.4216042 -8.0747810 -9.11194326 1.3579019
## notStjernekamp 15.1646983 0.4060707 -6.7024735 -3.38684109 6.9028052
## Stjernekamp -15.1646983 -0.4060707 6.7024735 3.38684109 -6.9028052
## notFarmen 10.2132119 1.3599839 -17.8519125 2.54498265 -7.3037869
## Farmen -10.2132119 -1.3599839 17.8519125 -2.54498265 7.3037869
## notParadise_Hotel -1.8171243 -9.3518164 -11.5051012 5.53248865 0.6561380
## Paradise_Hotel 1.8171243 9.3518164 11.5051012 -5.53248865 -0.6561380
## notSenkveld 6.2436242 -4.8444545 -20.4826299 -0.51819501 -4.9324562
## Senkveld -6.2436242 4.8444545 20.4826299 0.51819501 4.9324562
## notLuksusfellen -1.4415258 -6.9080307 -13.6094439 3.18372317 -8.4198296
## Luksusfellen 1.4415258 6.9080307 13.6094439 -3.18372317 8.4198296
## notandenes_makt 3.4462526 2.7268047 -14.2369170 1.03224447 -6.3493765
## andenes_makt -3.4462526 -2.7268047 14.2369170 -1.03224447 6.3493765
## notUt_i_naturen 16.9667643 5.0229467 5.4978240 -4.53755024 -12.7534902
## Ut_i_naturen -16.9667643 -5.0229467 -5.4978240 4.53755024 12.7534902
## notFodeavdelingen 2.1246293 -6.0949141 -14.2905691 1.34167721 2.4832840
## Fodeavdelingen -2.1246293 6.0949141 14.2905691 -1.34167721 -2.4832840
## notDeringenskulle 19.2677038 5.1076765 3.0762763 -6.67100657 -8.4499268
## Deringenskulle -19.2677038 -5.1076765 -3.0762763 6.67100657 8.4499268
## notTid_for_hjem 9.8544425 -3.2136993 -13.9529377 -1.55267761 -1.3100033
## Tid_for_hjem -9.8544425 3.2136993 13.9529377 1.55267761 1.3100033
## notGod_morgen_Norge 9.8646915 -1.0470046 -18.2596427 2.72120475 -2.9023583
## God_morgen_Norge -9.8646915 1.0470046 18.2596427 -2.72120475 2.9023583
## notBrille -0.6225646 -18.0212282 -4.6439552 14.26920399 -0.6666974
## Brille 0.6225646 18.0212282 4.6439552 -14.26920399 0.6666974
## notTop_Gear -7.1513725 -10.3381005 -0.5924075 -3.73787464 -17.5072154
## Top_Gear 7.1513725 10.3381005 0.5924075 3.73787464 17.5072154
## notGame_of_Thrones -13.1781409 -18.8313296 3.6731017 -6.13840157 -5.0435940
## Game_of_Thrones 13.1781409 18.8313296 -3.6731017 6.13840157 5.0435940
## notSide_om_side 5.5867882 -17.8346853 -2.5375930 6.22085550 6.1144139
## Side_om_side -5.5867882 17.8346853 2.5375930 -6.22085550 -6.1144139
## notSkam -3.5787298 -18.5399428 -4.5975425 4.36675426 12.8012736
## Skam 3.5787298 18.5399428 4.5975425 -4.36675426 -12.8012736
## notThe_Wire -5.5933779 -14.4518001 8.5486753 -3.48697992 -8.5558290
## The_Wire 5.5933779 14.4518001 -8.5486753 3.48697992 8.5558290
## notModern_Family -9.2188673 -20.1754139 -5.5810561 2.24907083 -0.8688176
## Modern_Family 9.2188673 20.1754139 5.5810561 -2.24907083 0.8688176
## notThe_Crown -1.1828890 -14.2168592 5.3382575 -14.16470696 10.5409218
## The_Crown 1.1828890 14.2168592 -5.3382575 14.16470696 -10.5409218
## notCriminal_Minds 0.1997516 -4.5336315 -15.8736694 -14.71725831 -5.3343275
## Criminal_Minds -0.1997516 4.5336315 15.8736694 14.71725831 5.3343275
## notNobel 4.5758111 -14.8167327 1.2873952 -7.95083505 3.7238676
## Nobel -4.5758111 14.8167327 -1.2873952 7.95083505 -3.7238676
## notVikings -2.4818579 -12.5906197 2.1887808 -8.16235022 -10.4032032
## Vikings 2.4818579 12.5906197 -2.1887808 8.16235022 10.4032032
## notGreys_Anatomy 0.2853432 -8.3092606 -17.8403064 -8.93564645 7.6830213
## Greys_Anatomy -0.2853432 8.3092606 17.8403064 8.93564645 -7.6830213
## notHouse_of_Cards -6.9448784 -18.3048747 6.1864044 -8.80618144 -5.5544972
## House_of_Cards 6.9448784 18.3048747 -6.1864044 8.80618144 5.5544972
## notKampen_om_tungtvannet 10.2140230 -10.7321677 4.7526614 -11.28137068 -3.0372985
## Kampen_om_tungtvannet -10.2140230 10.7321677 -4.7526614 11.28137068 3.0372985
## notDownton_Abbey 12.5561002 -5.2563679 4.2754512 -17.43964849 14.2122592
## Downton_Abbey -12.5561002 5.2563679 -4.2754512 17.43964849 -14.2122592
## notNarcos -9.0813654 -17.7989062 5.0748071 -4.89281629 -9.1256358
## Narcos 9.0813654 17.7989062 -5.0748071 4.89281629 9.1256358
## notBroen 11.6911419 -9.6292927 4.7502993 -10.41346338 6.6902679
## Broen -11.6911419 9.6292927 -4.7502993 10.41346338 -6.6902679
## notMedhjartetrette 13.3438099 4.4415427 -1.1311952 -15.74139394 1.6130999
## Medhjartetrette -13.3438099 -4.4415427 1.1311952 15.74139394 -1.6130999
## notBig_Bang_Theory -9.4879601 -12.7791501 -11.8087339 -4.09329019 -4.4454573
## Big_Bang_Theory 9.4879601 12.7791501 11.8087339 4.09329019 4.4454573# Nyheitshaldningar
head(res$separate.analyses$Nyh.hald$eig, n=7)## eigenvalue percentage of variance cumulative percentage of variance
## comp 1 1.9250843 27.501205 27.50120
## comp 2 1.4314093 20.448704 47.94991
## comp 3 0.9264600 13.235143 61.18505
## comp 4 0.8156228 11.651754 72.83681
## comp 5 0.7325718 10.465312 83.30212
## comp 6 0.6490601 9.272287 92.57440
## comp 7 0.5197917 7.425595 100.00000res$separate.analyses$Nyh.hald$var$contrib## Dim.1 Dim.2 Dim.3 Dim.4 Dim.5
## Q50r_venner_forventer 6.93916033 21.746426 19.6904962 22.6623543 1.8399588
## Q50s_vite_hva_som_snakkes_om 0.07131534 33.443297 0.6811444 40.2919195 23.3425578
## Q50t_behov_infomert 7.14258239 27.806041 0.6772927 0.1919494 48.3477587
## Q50u_nyheter_komplisert 26.07814826 3.133536 1.6671782 7.8749051 13.1031494
## Q50v_for_mye_informasjon 29.11818721 6.130044 0.9782061 2.0526396 0.2602754
## Q50w_skjerme_mot_nyheter 21.83410717 4.994084 0.7931606 24.5780544 8.6793311
## Q50x_lite_relevant 8.81649930 2.746573 75.5125217 2.3481777 4.4269688res$separate.analyses$Nyh.hald$var$v.test## NULL# Politiske haldningar
head(res$separate.analyses$Pol.hald$eig, n=7)## eigenvalue percentage of variance cumulative percentage of variance
## comp 1 2.9292322 17.230778 17.23078
## comp 2 1.7691501 10.406765 27.63754
## comp 3 1.3104692 7.708642 35.34619
## comp 4 1.2590706 7.406298 42.75248
## comp 5 1.0220195 6.011879 48.76436
## comp 6 0.9900407 5.823769 54.58813
## comp 7 0.8962975 5.272338 59.86047res$separate.analyses$Pol.hald$var$contrib## Dim.1 Dim.2 Dim.3 Dim.4 Dim.5
## Q50a_har_tillit 7.7925236 20.0204082 0.371727257 4.24686298 0.01300335
## Q50b_usikker_partier 7.3865802 4.9023913 1.925548623 1.52668707 1.37035049
## Q50c_brenner_ikke 4.9060011 20.4676629 1.875747039 1.59999626 0.48131392
## Q50d_ingen_parti 8.7178924 2.0893154 14.634231338 0.28607325 2.31985566
## Q50e_politikk_lite_relevant 8.0030581 8.3056510 6.645411708 0.35029122 0.38191489
## Q50f_gjor_ingen_forskjell 14.2477025 0.8091898 1.740893205 0.03389675 0.50480042
## Q50g_plikt_stemme 2.5095622 1.7299832 5.195223150 9.76877496 0.28030457
## Q50h_mistro_demokrati 6.1017828 1.8480884 10.645169717 0.69827784 0.20608177
## Q50i_god_forstaelse 7.1231690 1.3144247 18.867211620 2.06374332 0.08475384
## Q50j_stoler_pa_ 4.2533310 20.2905480 0.641521850 10.23777798 0.00157079
## Q50k_kan_pavirke 8.4116854 0.4043845 8.046436139 0.70554337 0.81797444
## Q50l_kan_finne_info 7.2596765 1.1808935 19.280462550 0.10272089 0.98674762
## Q50m_ubrukt_engasjement 2.0232772 4.3348432 0.395935251 22.34826261 12.83088437
## Q50n_ubehagelig_spurt 3.0803947 0.4289829 0.427153644 16.35495234 7.21092617
## Q50o_andre_forstar_ikke 0.2330413 7.3960968 9.129247624 4.97324373 12.47143782
## Q50p_folkeavstemminger 5.5861192 4.2021708 0.173611735 11.51662194 16.14701762
## Q50q_eksperter 2.3642028 0.2749653 0.004467549 13.18627349 43.89106225res$separate.analyses$Pol.hald$var$v.test## NULL#uferdig#reset options
options(max.print=9999)
options(width = 136)