1 Introducción
El procedimiento de generación de tablas de contingencia trae problemas si se consideran varias tablas referidas por ejemplo a varios años, cuyas categorías de divergen.
Ésta pregunta sólo se comenzó a aplicar en la Casen del 2011 y hasta la versión 2017
<<- readRDS("C:/Users/enamo/Desktop/Shiny-R/Casen_en_pandemia_2020/casen/casen_2006_c.rds")
casen_2006 <- mutate_if(casen_2006, is.factor, as.character)
casen_2006 <<- readRDS("C:/Users/enamo/Desktop/Shiny-R/Casen_en_pandemia_2020/casen/casen_2009_c.rds")
casen_2009 <- mutate_if(casen_2009, is.factor, as.character)
casen_2009 <<- readRDS("C:/Users/enamo/Desktop/Shiny-R/Casen_en_pandemia_2020/casen/casen_2011_c.rds")
casen_2011 <- mutate_if(casen_2011, is.factor, as.character)
casen_2011 <<- readRDS("C:/Users/enamo/Desktop/Shiny-R/Casen_en_pandemia_2020/casen/casen_2013_c.rds")
casen_2013 <- mutate_if(casen_2013, is.factor, as.character)
casen_2013 <<- readRDS("C:/Users/enamo/Desktop/Shiny-R/Casen_en_pandemia_2020/casen/casen_2015_c.rds")
casen_2015 <- mutate_if(casen_2015, is.factor, as.character)
casen_2015 <<- readRDS("C:/Users/enamo/Desktop/Shiny-R/Casen_en_pandemia_2020/casen/casen_2017_c.rds")
casen_2017 <- mutate_if(casen_2017, is.factor, as.character)
casen_2017 <<- readRDS("C:/Users/enamo/Desktop/Shiny-R/Casen_en_pandemia_2020/casen/casen_2020.rds")
casen_2020 <- mutate_if(casen_2020, is.factor, as.character)
casen_2020
<- readRDS("C:/Users/enamo/Desktop/Shiny-R/Casen_en_pandemia_2020/codigos_comunales_2006-2020.rds")
cod_com names(cod_com)[2] <- "comuna"
Homologación de alfabetismo
$E1[casen_2006$E1 == "No sabe /Sin dato"] <- NA
casen_2006
$e1[casen_2011$e1 == "Sí, lee y escribe"] <- "Sí"
casen_2011$e1[casen_2011$e1 == "No, sólo lee"] <- "No"
casen_2011$e1[casen_2011$e1 == "No, ninguno"] <- "No"
casen_2011$e1[casen_2011$e1 == "No, sólo escribe"] <- "No"
casen_2011
$e1[casen_2013$e1 == "Sí, lee y escribe"] <- "Sí"
casen_2013$e1[casen_2013$e1 == "No, ninguno"] <- "No"
casen_2013$e1[casen_2013$e1 == "No, sólo lee"] <- "No"
casen_2013$e1[casen_2013$e1 == "No, sólo escribe"] <- "No"
casen_2013$e1[casen_2013$e1 == "NS/NR"] <- NA
casen_2013
$e1[casen_2015$e1 == "Sí, lee y escribe"] <- "Sí"
casen_2015$e1[casen_2015$e1 == "No, ninguno"] <- "No"
casen_2015$e1[casen_2015$e1 == "No, sólo lee"] <- "No"
casen_2015$e1[casen_2015$e1 == "No, sólo escribe"] <- "No"
casen_2015
$e1[casen_2017$e1 == "Sí, lee y escribe"] <- "Sí"
casen_2017$e1[casen_2017$e1 == "No, sólo lee"] <- "No"
casen_2017$e1[casen_2017$e1 == "No, ninguno"] <- "No"
casen_2017$e1[casen_2017$e1 == "No sabe/responde"] <- NA
casen_2017$e1[casen_2017$e1 == "No, sólo escribe"] <- "No" casen_2017
Homologación de etnia
<- function(union){
fn_etnia $Etnia[union$Etnia == "Aimara" ] <- "Aymara"
union$Etnia[union$Etnia == "No pertenece a ninguno de estos pueblos indígenas" ] <- "No pertenece a ningún pueblo indígena"
union$Etnia[union$Etnia == "Mapuche"] <- "Mapuche"
union$Etnia[union$Etnia == "Diaguita"] <- "Diaguita"
union$Etnia[union$Etnia == "Atacameño" ] <- "Atacameño"
union$Etnia[union$Etnia == "Atacameño (Likan-Antai)" ] <- "Atacameño"
union$Etnia[union$Etnia == "Atacameño (Likán Antai)" ] <- "Atacameño"
union$Etnia[union$Etnia == "Atacameño (Likán-Antai)" ] <- "Atacameño"
union$Etnia[union$Etnia == "Quechua" ] <- "Quechua"
union$Etnia[union$Etnia == "Yámana o Yagán" ] <- "Yagán"
union$Etnia[union$Etnia == "Yagan" ] <- "Yagán"
union$Etnia[union$Etnia == "Yagán (Yámana)" ] <- "Yagán"
union$Etnia[union$Etnia == "Rapa-Nui o Pascuenses"] <- "Pascuense"
union$Etnia[union$Etnia == "Rapa-Nui"] <- "Pascuense"
union$Etnia[union$Etnia == "Rapa Nui (Pascuense)"] <- "Pascuense"
union$Etnia[union$Etnia == "Rapa Nui"] <- "Pascuense"
union$Etnia[union$Etnia == "Collas"] <- "Coya"
union$Etnia[union$Etnia == "Kawashkar o Alacalufes" ] <- "Alacalufe"
union$Etnia[union$Etnia == "Kawashkar" ] <- "Alacalufe"
union$Etnia[union$Etnia == "Kawésqar (Alacalufes)" ] <- "Alacalufe"
union$Etnia[union$Etnia == "Kawésqar" ] <- "Alacalufe"
union$Etnia[union$Etnia == "Kawaskar" ] <- "Alacalufe"
union$Etnia[union$Etnia == "Chango" ] <- "Chango"
union$Etnia[union$Etnia == "Sin dato"] <- NA
union$Etnia[union$Etnia == "NS/NR" ] <- NA
union$Etnia[union$Etnia == "No sabe/no responde" ] <- NA
union
<<- union
union }
Homologación de migración
for (i in unique(casen_2020$r2_pais_esp)) {
<- gsub("(^[[:space:]]+|[[:space:]]+$)", "", i)
pais <- tolower(pais)
pais $r2_pais_esp[casen_2020$r2_pais_esp == i] <- str_to_title(pais)
casen_2020
}
$r2p_cod[casen_2011$r2p_cod == "No contesta"] <- "NS/NR"
casen_2011$r2_p_cod[casen_2013$r2_p_cod == "No contesta"] <- "NS/NR"
casen_2013$r2espp_cod[casen_2015$r2espp_cod == "No contesta"] <- "NS/NR"
casen_2015$r2_p_cod[casen_2017$r2_p_cod == "No Bien Especificado"] <- "NS/NR"
casen_2017$r2_p_cod[casen_2017$r2_p_cod == "No Responde"] <- "NS/NR"
casen_2017$r2_pais_esp[casen_2020$r2_pais_esp == "No Bien Especificado"] <- "NS/NR"
casen_2020$r2_pais_esp[casen_2020$r2_pais_esp == ""] <- NA casen_2020
1.1 Se obtiene el universo de categorías para e9com_c_cod cada año
<- casen_2011
ab <- unique(ab$e8com)
unique_d_2011
<- casen_2013
ab <- unique(ab$e8com_cod)
unique_d_2013
<- casen_2015
ab <- unique(ab$e7com_cod)
unique_d_2015
<- casen_2017
ab <- unique(ab$e9com_c_cod) unique_d_2017
2 Diccionario
Se unen todas las categorías de respuesta, se excluyen las repetidas y se les asocia un código:
<- as.data.frame(unique_d_2011)
unique_d_2011 colnames(unique_d_2011)[1] <- "superduper"
<- as.data.frame(unique_d_2013)
unique_d_2013 colnames(unique_d_2013)[1] <- "superduper"
<- as.data.frame(unique_d_2015)
unique_d_2015 colnames(unique_d_2015)[1] <- "superduper"
<- as.data.frame(unique_d_2017)
unique_d_2017 colnames(unique_d_2017)[1] <- "superduper"
<- rbind( unique_d_2011, unique_d_2013, unique_d_2015, unique_d_2017 )
el_total
<- unique(el_total)
el_total_final
$observation <- 1:nrow(el_total_final)
el_total_finaldatatable(el_total_final, extensions = 'Buttons', escape = FALSE, rownames = FALSE,
options = list(dom = 'Bfrtip',
buttons = list('colvis', list(extend = 'collection',
buttons = list(
list(extend='copy'),
list(extend='excel',
filename = 'tabla_Diccionario'),
list(extend='pdf',
filename= 'tabla_Diccionario')),
text = 'Download')), scrollX = TRUE))
<- data.frame()
dataf1 for (n in 1:nrow(el_total_final)) {
<- rbind(dataf1,paste0("m['e9com_c_cod'][m['e9com_c_cod'] == '",el_total_final[n,1],"']"," <- '",el_total_final[n,2],"'"))
dataf1
}<- as.data.frame(dataf1)
dataf1 write_xlsx(dataf1,"el_total_final.xlsx")
<- function(m) {
la_correccion
'e9com_c_cod'][m['e9com_c_cod'] == 'NA'] <- '1'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Iquique'] <- '2'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Algarrobo'] <- '3'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Santiago'] <- '4'
m['e9com_c_cod'][m['e9com_c_cod'] == 'El Quisco'] <- '5'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Viña del Mar'] <- '6'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Casablanca'] <- '7'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Antonio'] <- '8'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Alhué'] <- '9'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Melipilla'] <- '10'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Providencia'] <- '11'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Santa Bárbara'] <- '12'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Alto Biobío'] <- '13'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Coronel'] <- '14'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Los Ángeles'] <- '15'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Concepción'] <- '16'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Valparaíso'] <- '17'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Chañaral'] <- '18'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Quilaco'] <- '19'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Vallenar'] <- '20'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Alto del Carmen'] <- '21'
m['e9com_c_cod'][m['e9com_c_cod'] == 'La Serena'] <- '22'
m['e9com_c_cod'][m['e9com_c_cod'] == 'NS/NR'] <- '23'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Alto Hospicio'] <- '24'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Arica'] <- '25'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Peñalolén'] <- '26'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Colchane'] <- '27'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Talcahuano'] <- '28'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Copiapó'] <- '29'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Huara'] <- '30'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Camiña'] <- '31'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Extranjero'] <- '32'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Ancud'] <- '33'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Temuco'] <- '34'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Valdivia'] <- '35'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Osorno'] <- '36'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Puerto Montt'] <- '37'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Castro'] <- '38'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Chonchi'] <- '39'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Queilén'] <- '40'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Fresia'] <- '41'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Quemchi'] <- '42'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Dalcahue'] <- '43'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Andacollo'] <- '44'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Coquimbo'] <- '45'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Vicuña'] <- '46'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Angol'] <- '47'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Victoria'] <- '48'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Talca'] <- '49'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Los Sauces'] <- '50'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Renaico'] <- '51'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Antofagasta'] <- '52'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Puente Alto'] <- '53'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Chillán'] <- '54'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Calama'] <- '55'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Tocopilla'] <- '56'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Santa Juana'] <- '57'
m['e9com_c_cod'][m['e9com_c_cod'] == 'La Unión'] <- '58'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Pudahuel'] <- '59'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Chiguayante'] <- '60'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Renca'] <- '61'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Taltal'] <- '62'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Antuco'] <- '63'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Quilleco'] <- '64'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Arauco'] <- '65'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Joaquín'] <- '66'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Estación Central'] <- '67'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Camarones'] <- '68'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Putre'] <- '69'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Independencia'] <- '70'
m['e9com_c_cod'][m['e9com_c_cod'] == 'La Reina'] <- '71'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Ovalle'] <- '72'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Aysén'] <- '73'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Coyhaique'] <- '74'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Maipú'] <- '75'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Calbuco'] <- '76'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Buin'] <- '77'
m['e9com_c_cod'][m['e9com_c_cod'] == 'La Florida'] <- '78'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Talagante'] <- '79'
m['e9com_c_cod'][m['e9com_c_cod'] == 'La Cisterna'] <- '80'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Cerrillos'] <- '81'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Paine'] <- '82'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Las Condes'] <- '83'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Bernardo'] <- '84'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Bulnes'] <- '85'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Chillán Viejo'] <- '86'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Ignacio'] <- '87'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Cabildo'] <- '88'
m['e9com_c_cod'][m['e9com_c_cod'] == 'La Ligua'] <- '89'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Felipe'] <- '90'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Los Andes'] <- '91'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Quillota'] <- '92'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Cabrero'] <- '93'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Yumbel'] <- '94'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Hualpén'] <- '95'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Combarbalá'] <- '96'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Pedro'] <- '97'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Puerto Varas'] <- '98'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Frutillar'] <- '99'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Rengo'] <- '100'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Mariquina'] <- '101'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Caldera'] <- '102'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Calera'] <- '103'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Hijuelas'] <- '104'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Nogales'] <- '105'
m['e9com_c_cod'][m['e9com_c_cod'] == 'La Cruz'] <- '106'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Calera de Tango'] <- '107'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Peñaflor'] <- '108'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Ñuñoa'] <- '109'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Miguel'] <- '110'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Isla de Maipo'] <- '111'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Macul'] <- '112'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Calle Larga'] <- '113'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Canela'] <- '114'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Illapel'] <- '115'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Los Vilos'] <- '116'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Cañete'] <- '117'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Los Álamos'] <- '118'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Curanilahue'] <- '119'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Carahue'] <- '120'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Nueva Imperial'] <- '121'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Cholchol'] <- '122'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Tirúa'] <- '123'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Saavedra'] <- '124'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Cartagena'] <- '125'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Recoleta'] <- '126'
m['e9com_c_cod'][m['e9com_c_cod'] == 'El Tabo'] <- '127'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Curaco de Vélez'] <- '128'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Vitacura'] <- '129'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Llaillay'] <- '130'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Catemu'] <- '131'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Cauquenes'] <- '132'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Linares'] <- '133'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Panguipulli'] <- '134'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Ninhue'] <- '135'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Lo Prado'] <- '136'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Quinta Normal'] <- '137'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Cerro Navia'] <- '138'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Parral'] <- '139'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Chanco'] <- '140'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Pelluhue'] <- '141'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Pedro de la Paz'] <- '142'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Rancagua'] <- '143'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Puchuncaví'] <- '144'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Diego de Almagro'] <- '145'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Chépica'] <- '146'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Santa Cruz'] <- '147'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Curicó'] <- '148'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Fernando'] <- '149'
m['e9com_c_cod'][m['e9com_c_cod'] == 'La Pintana'] <- '150'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Chimbarongo'] <- '151'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Mostazal'] <- '152'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Laja'] <- '153'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Penco'] <- '154'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Chile Chico'] <- '155'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Punta Arenas'] <- '156'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Cochrane'] <- '157'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Carlos'] <- '158'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Pemuco'] <- '159'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Nicolás'] <- '160'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Pinto'] <- '161'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Codegua'] <- '162'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Teno'] <- '163'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Quinta de Tilcoco'] <- '164'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Tomé'] <- '165'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Galvarino'] <- '166'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Quinchao'] <- '167'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Quellón'] <- '168'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Cisnes'] <- '169'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Cobquecura'] <- '170'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Quirihue'] <- '171'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Graneros'] <- '172'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Coelemu'] <- '173'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Treguaco'] <- '174'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Coihueco'] <- '175'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Portezuelo'] <- '176'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Coinco'] <- '177'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Olivar'] <- '178'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Machalí'] <- '179'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Doñihue'] <- '180'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Requínoa'] <- '181'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Colbún'] <- '182'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Yerbas Buenas'] <- '183'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Colina'] <- '184'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Lampa'] <- '185'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Quilicura'] <- '186'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Collipulli'] <- '187'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Ercilla'] <- '188'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Teodoro Schmidt'] <- '189'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Coltauco'] <- '190'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Florida'] <- '191'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Conchalí'] <- '192'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Huechuraba'] <- '193'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Concón'] <- '194'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Constitución'] <- '195'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Empedrado'] <- '196'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Contulmo'] <- '197'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Tierra Amarilla'] <- '198'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Lota'] <- '199'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Corral'] <- '200'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Paillaco'] <- '201'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Lautaro'] <- '202'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Río Ibáñez'] <- '203'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Cunco'] <- '204'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Padre Las Casas'] <- '205'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Curacautín'] <- '206'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Vilcún'] <- '207'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Traiguén'] <- '208'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Mulchén'] <- '209'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Curacaví'] <- '210'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Lebu'] <- '211'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Curarrehue'] <- '212'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Villarrica'] <- '213'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Pucón'] <- '214'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Freire'] <- '215'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Loncoche'] <- '216'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Curepto'] <- '217'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Maule'] <- '218'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Sagrada Familia'] <- '219'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Molina'] <- '220'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Romeral'] <- '221'
m['e9com_c_cod'][m['e9com_c_cod'] == 'El Bosque'] <- '222'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Quillón'] <- '223'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Ramón'] <- '224'
m['e9com_c_cod'][m['e9com_c_cod'] == 'El Carmen'] <- '225'
m['e9com_c_cod'][m['e9com_c_cod'] == 'El Monte'] <- '226'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Javier'] <- '227'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Lumaco'] <- '228'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Pichidegua'] <- '229'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Pitrufquén'] <- '230'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Freirina'] <- '231'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Huasco'] <- '232'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Los Muermos'] <- '233'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Río Negro'] <- '234'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Purranque'] <- '235'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Futrono'] <- '236'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Lanco'] <- '237'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Gorbea'] <- '238'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Placilla'] <- '239'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Quilpué'] <- '240'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Hualañé'] <- '241'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Hualqui'] <- '242'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Pozo Almonte'] <- '243'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Salamanca'] <- '244'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Lago Ranco'] <- '245'
m['e9com_c_cod'][m['e9com_c_cod'] == 'La Granja'] <- '246'
m['e9com_c_cod'][m['e9com_c_cod'] == 'La Estrella'] <- '247'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Litueche'] <- '248'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Marchihue'] <- '249'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Lo Espejo'] <- '250'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Lo Barnechea'] <- '251'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Pirque'] <- '252'
m['e9com_c_cod'][m['e9com_c_cod'] == 'La Higuera'] <- '253'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Monte Patria'] <- '254'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Río Bueno'] <- '255'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Los Lagos'] <- '256'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Pablo'] <- '257'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Rosendo'] <- '258'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Clemente'] <- '259'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Tiltil'] <- '260'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San José de Maipo'] <- '261'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Las Cabras'] <- '262'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Vicente'] <- '263'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Peumo'] <- '264'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Malloa'] <- '265'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Perquenco'] <- '266'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Licantén'] <- '267'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Limache'] <- '268'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Olmué'] <- '269'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Villa Alemana'] <- '270'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Longaví'] <- '271'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Navidad'] <- '272'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Llanquihue'] <- '273'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Pedro Aguirre Cerda'] <- '274'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Lolol'] <- '275'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Pica'] <- '276'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Lonquimay'] <- '277'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Esteban'] <- '278'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Rinconada'] <- '279'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Negrete'] <- '280'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Máfil'] <- '281'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Purén'] <- '282'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Padre Hurtado'] <- '283'
m['e9com_c_cod'][m['e9com_c_cod'] == 'María Elena'] <- '284'
m['e9com_c_cod'][m['e9com_c_cod'] == 'María Pinto'] <- '285'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Maullín'] <- '286'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Mejillones'] <- '287'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Melipeuco'] <- '288'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Nacimiento'] <- '289'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Villa Alegre'] <- '290'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Nancagua'] <- '291'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Natales'] <- '292'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Ñiquén'] <- '293'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Puyehue'] <- '294'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Puerto Octay'] <- '295'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Punitaqui'] <- '296'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Paiguano'] <- '297'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Palmilla'] <- '298'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Panquehue'] <- '299'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Papudo'] <- '300'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Zapallar'] <- '301'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Paredones'] <- '302'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Retiro'] <- '303'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Pelarco'] <- '304'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Yungay'] <- '305'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Pencahue'] <- '306'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Peralillo'] <- '307'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Petorca'] <- '308'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Pichilemu'] <- '309'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Porvenir'] <- '310'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Quintero'] <- '311'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Juan de la Costa'] <- '312'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Pumanque'] <- '313'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Puqueldón'] <- '314'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Putaendo'] <- '315'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Ránquil'] <- '316'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Rauco'] <- '317'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Río Claro'] <- '318'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Rafael'] <- '319'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Río Hurtado'] <- '320'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Santo Domingo'] <- '321'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Fabián'] <- '322'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Toltén'] <- '323'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Santa María'] <- '324'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Pedro de Atacama'] <- '325'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Sierra Gorda'] <- '326'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Tucapel'] <- '327'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Vichuquén'] <- '328'
m['e9com_c_cod'][m['e9com_c_cod'] == 'No contesta'] <- '329'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Palena'] <- '330'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Primavera'] <- '331'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Torres del Paine'] <- '332'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Gregorio'] <- '333'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Laguna Blanca'] <- '334'
m['e9com_c_cod'][m['e9com_c_cod'] == 'sin dato'] <- '335'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Guaitecas'] <- '336'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Chaitén'] <- '337'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Tortel'] <- '338'
m['e9com_c_cod'][m['e9com_c_cod'] == 'General Lagos'] <- '339'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Viña Del Mar'] <- '340'
m['e9com_c_cod'][m['e9com_c_cod'] == 'No responde'] <- '341'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Región de Tarapacá'] <- '342'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Alto Del Carmen'] <- '343'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Cabo De Hornos'] <- '344'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Concon'] <- '345'
m['e9com_c_cod'][m['e9com_c_cod'] == 'No bien especificado'] <- '346'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Lago Verde'] <- '347'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Calera De Tango'] <- '348'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Región Metropolitana'] <- '349'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Curaco De Vélez'] <- '350'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Chepica'] <- '351'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Pedro De La Paz'] <- '352'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Quinta De Tilcoco'] <- '353'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Requinoa'] <- '354'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Diego De Almagro'] <- '355'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Pedro De Atacama'] <- '356'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Hualañe'] <- '357'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Isla De Maipo'] <- '358'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Hualaihué'] <- '359'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Rio Bueno'] <- '360'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San José De Maipo'] <- '361'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Machali'] <- '362'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Región de Magallanes'] <- '363'
m['e9com_c_cod'][m['e9com_c_cod'] == 'San Juan De La Costa'] <- '364'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Futaleufú'] <- '365'
m['e9com_c_cod'][m['e9com_c_cod'] == 'Juan Fernández'] <- '366'
m[
<<- m
mm }
Etnia
2.0.0.1 2011
Generamos las tablas de contingencia tal como acostumbramos:
<- casen_2011
ab
<- ab$comuna
b <- ab$e8com
c <- ab$r6
d <- ab$sexo
e <- ab$e1
f
= xtabs(ab$expc_full ~ unlist(b) + unlist(c) + unlist(d) + unlist(e) + unlist(f),aggregate(ab$expc_full ~ unlist(b) + unlist(c) + unlist(d) + unlist(e) + unlist(f) ,ab,mean))
cross_tab <- as.data.frame(cross_tab)
tabla <-tabla[!(tabla$Freq == 0),]
d $anio <- "2011"
d
names(d)[1] <- "comuna"
names(d)[2] <- "e9com_c_cod"
names(d)[3] <- "Etnia"
names(d)[4] <- "Sexo"
names(d)[5] <- "Sabe leer?"
names(d)[6] <- "Frecuencia"
names(d)[7] <- "Año"
$cod <- d[,2]
d<- d[,c(1,8,2,3,4,5,6,7)]
d <- d
d_2011
<- mutate_if(d_2011, is.factor, as.character)
d_2011
la_correccion(d_2011)
names(mm)[2] <- paste0(colnames(mm)[3])
names(mm)[3] <- paste0("cod_",colnames(mm)[3])
<- mm mm_11
2.0.0.2 2013
Generamos las tablas de contingencia tal como acostumbramos:
<- casen_2013
ab
<- ab$comuna
b <- ab$e8com_cod
c <- ab$r6
d <- ab$sexo
e <- ab$e1
f
= xtabs(ab$expc ~ unlist(b) + unlist(c) + unlist(d) + unlist(e) + unlist(f),aggregate(ab$expc ~ unlist(b) + unlist(c) + unlist(d) + unlist(e) + unlist(f) ,ab,mean))
cross_tab <- as.data.frame(cross_tab)
tabla <-tabla[!(tabla$Freq == 0),]
d $anio <- "2013"
d
names(d)[1] <- "comuna"
names(d)[2] <- "e9com_c_cod"
names(d)[3] <- "Etnia"
names(d)[4] <- "Sexo"
names(d)[5] <- "Sabe leer?"
names(d)[6] <- "Frecuencia"
names(d)[7] <- "Año"
$cod <- d[,2]
d<- d[,c(1,8,2,3,4,5,6,7)]
d <- d
d_2013
<- mutate_if(d_2013, is.factor, as.character)
d_2013
la_correccion(d_2013)
names(mm)[2] <- paste0(colnames(mm)[3])
names(mm)[3] <- paste0("cod_",colnames(mm)[3])
<- mm mm_13
2.0.0.3 2015
Generamos las tablas de contingencia tal como acostumbramos:
<- casen_2015
ab
<- ab$comuna
b <- ab$e7com_cod
c <- ab$r3
d <- ab$sexo
e <- ab$e1
f
= xtabs(ab$expc_todas ~ unlist(b) + unlist(c) + unlist(d) + unlist(e) + unlist(f),aggregate(ab$expc_todas ~ unlist(b) + unlist(c) + unlist(d) + unlist(e) + unlist(f) ,ab,mean))
cross_tab <- as.data.frame(cross_tab)
tabla <-tabla[!(tabla$Freq == 0),]
d $anio <- "2015"
d
names(d)[1] <- "comuna"
names(d)[2] <- "e9com_c_cod"
names(d)[3] <- "Etnia"
names(d)[4] <- "Sexo"
names(d)[5] <- "Sabe leer?"
names(d)[6] <- "Frecuencia"
names(d)[7] <- "Año"
$cod <- d[,2]
d<- d[,c(1,8,2,3,4,5,6,7)]
d <- d
d_2015
<- mutate_if(d_2015, is.factor, as.character)
d_2015
la_correccion(d_2015)
names(mm)[2] <- paste0(colnames(mm)[3])
names(mm)[3] <- paste0("cod_",colnames(mm)[3])
<- mm mm_15
2.0.0.4 2017
Generamos las tablas de contingencia tal como acostumbramos:
<- casen_2017
ab
<- ab$comuna
b <- ab$e9com_c_cod
c <- ab$r3
d <- ab$sexo
e <- ab$e1
f
= xtabs(ab$expc ~ unlist(b) + unlist(c) + unlist(d) + unlist(e) + unlist(f),aggregate(ab$expc ~ unlist(b) + unlist(c) + unlist(d) + unlist(e) + unlist(f) ,ab,mean))
cross_tab <- as.data.frame(cross_tab)
tabla <-tabla[!(tabla$Freq == 0),]
d $anio <- "2017"
d
names(d)[1] <- "comuna"
names(d)[2] <- "e9com_c_cod"
names(d)[3] <- "Etnia"
names(d)[4] <- "Sexo"
names(d)[5] <- "Sabe leer?"
names(d)[6] <- "Frecuencia"
names(d)[7] <- "Año"
$cod <- d[,2]
d<- d[,c(1,8,2,3,4,5,6,7)]
d <- d
d_2017
<- mutate_if(d_2017, is.factor, as.character)
d_2017
la_correccion(d_2017)
names(mm)[2] <- paste0(colnames(mm)[3])
names(mm)[3] <- paste0("cod_",colnames(mm)[3])
<- mm mm_17
3 Tabla final etnia
<- rbind(mm_11,mm_13,mm_15,mm_17)
union fn_etnia(union)
$cod_sexo <- union$Sexo
union$cod_sexo[union$cod_sexo == "Hombre"] <- "01"
union$cod_sexo[union$cod_sexo == "Mujer"] <- "02"
union
$cod_alfa <- union$`Sabe leer?`
union$cod_alfa[union$cod_alfa == "Sí"] <- "01"
union$cod_alfa[union$cod_alfa == "No"] <- "02"
union
<- c(sort(unique(union$Etnia)[-6]),"No pertenece a ningún pueblo indígena",NA)
Etnia <- as.data.frame(Etnia)
Etnia$cod_etnia <- paste("00",seq(1:nrow(Etnia)), sep = "")
Etnia<- Etnia$cod_etnia
codigos <- seq(1:nrow(Etnia))
rango <- paste("",codigos[rango], sep = "")
cadena <- substr(cadena,(nchar(cadena)[rango])-(1),4)
cadena <- as.data.frame(codigos)
codigos <- as.data.frame(cadena)
cadena <- cbind(Etnia,cadena)
codigos colnames(codigos) <- c("Etnia","cadena","cod_etnia")
<- merge(x=union, y=codigos, by="Etnia")
tab_f
<- merge(x = tab_f, y = cod_com, by = "comuna")
tab_f <- tab_f[,c(1,13,3,4,2,12,5,9,6,10,7,8)]
tab_f
datatable(tab_f, extensions = 'Buttons', escape = FALSE, rownames = FALSE,
options = list(dom = 'Bfrtip',
buttons = list('colvis', list(extend = 'collection',
buttons = list(
list(extend='copy'),
list(extend='excel',
filename = 'tabla_ytotcor_e5a'),
list(extend='pdf',
filename= 'tabla_ytotcor_e5a')),
text = 'Download')), scrollX = TRUE))
## Warning in instance$preRenderHook(instance): It seems your data is too big
## for client-side DataTables. You may consider server-side processing: https://
## rstudio.github.io/DT/server.html
4 Migración
4.0.0.1 2011
Generamos las tablas de contingencia tal como acostumbramos:
<- casen_2011
ab
<- ab$comuna
b <- ab$e8com
c <- ab$r2p_cod
d <- ab$sexo
e <- ab$e1
f
= xtabs(ab$expc_full ~ unlist(b) + unlist(c) + unlist(d) + unlist(e) + unlist(f),aggregate(ab$expc_full ~ unlist(b) + unlist(c) + unlist(d) + unlist(e) + unlist(f) ,ab,mean))
cross_tab <- as.data.frame(cross_tab)
tabla <-tabla[!(tabla$Freq == 0),]
d $anio <- "2011"
d
names(d)[1] <- "comuna"
names(d)[2] <- "e9com_c_cod"
names(d)[3] <- "Migracion"
names(d)[4] <- "Sexo"
names(d)[5] <- "Sabe leer?"
names(d)[6] <- "Frecuencia"
names(d)[7] <- "Año"
$cod <- d[,2]
d<- d[,c(1,8,2,3,4,5,6,7)]
d <- d
d_2011
<- mutate_if(d_2011, is.factor, as.character)
d_2011
la_correccion(d_2011)
names(mm)[2] <- paste0(colnames(mm)[3])
names(mm)[3] <- paste0("cod_",colnames(mm)[3])
<- mm mm_11
4.0.0.2 2013
Generamos las tablas de contingencia tal como acostumbramos:
<- casen_2013
ab
<- ab$comuna
b <- ab$e8com_cod
c <- ab$r2_p_cod
d <- ab$sexo
e <- ab$e1
f
= xtabs(ab$expc ~ unlist(b) + unlist(c) + unlist(d) + unlist(e) + unlist(f),aggregate(ab$expc ~ unlist(b) + unlist(c) + unlist(d) + unlist(e) + unlist(f) ,ab,mean))
cross_tab <- as.data.frame(cross_tab)
tabla <-tabla[!(tabla$Freq == 0),]
d $anio <- "2013"
d
names(d)[1] <- "comuna"
names(d)[2] <- "e9com_c_cod"
names(d)[3] <- "Migracion"
names(d)[4] <- "Sexo"
names(d)[5] <- "Sabe leer?"
names(d)[6] <- "Frecuencia"
names(d)[7] <- "Año"
$cod <- d[,2]
d<- d[,c(1,8,2,3,4,5,6,7)]
d <- d
d_2013
<- mutate_if(d_2013, is.factor, as.character)
d_2013
la_correccion(d_2013)
names(mm)[2] <- paste0(colnames(mm)[3])
names(mm)[3] <- paste0("cod_",colnames(mm)[3])
<- mm mm_13
4.0.0.3 2015
Generamos las tablas de contingencia tal como acostumbramos:
<- casen_2015
ab
<- ab$comuna
b <- ab$e7com_cod
c <- ab$r2espp_cod
d <- ab$sexo
e <- ab$e1
f
= xtabs(ab$expc_todas ~ unlist(b) + unlist(c) + unlist(d) + unlist(e) + unlist(f),aggregate(ab$expc_todas ~ unlist(b) + unlist(c) + unlist(d) + unlist(e) + unlist(f) ,ab,mean))
cross_tab <- as.data.frame(cross_tab)
tabla <-tabla[!(tabla$Freq == 0),]
d $anio <- "2015"
d
names(d)[1] <- "comuna"
names(d)[2] <- "e9com_c_cod"
names(d)[3] <- "Migracion"
names(d)[4] <- "Sexo"
names(d)[5] <- "Sabe leer?"
names(d)[6] <- "Frecuencia"
names(d)[7] <- "Año"
$cod <- d[,2]
d<- d[,c(1,8,2,3,4,5,6,7)]
d <- d
d_2015
<- mutate_if(d_2015, is.factor, as.character)
d_2015
la_correccion(d_2015)
names(mm)[2] <- paste0(colnames(mm)[3])
names(mm)[3] <- paste0("cod_",colnames(mm)[3])
<- mm mm_15
4.0.0.4 2017
Generamos las tablas de contingencia tal como acostumbramos:
<- casen_2017
ab
<- ab$comuna
b <- ab$e9com_c_cod
c <- ab$r2_p_cod
d <- ab$sexo
e <- ab$e1
f
= xtabs(ab$expc ~ unlist(b) + unlist(c) + unlist(d) + unlist(e) + unlist(f),aggregate(ab$expc ~ unlist(b) + unlist(c) + unlist(d) + unlist(e) + unlist(f) ,ab,mean))
cross_tab <- as.data.frame(cross_tab)
tabla <-tabla[!(tabla$Freq == 0),]
d $anio <- "2017"
d
names(d)[1] <- "comuna"
names(d)[2] <- "e9com_c_cod"
names(d)[3] <- "Migracion"
names(d)[4] <- "Sexo"
names(d)[5] <- "Sabe leer?"
names(d)[6] <- "Frecuencia"
names(d)[7] <- "Año"
$cod <- d[,2]
d<- d[,c(1,8,2,3,4,5,6,7)]
d <- d
d_2017
<- mutate_if(d_2017, is.factor, as.character)
d_2017
la_correccion(d_2017)
names(mm)[2] <- paste0(colnames(mm)[3])
names(mm)[3] <- paste0("cod_",colnames(mm)[3])
<- mm mm_17
5 Tabla final migración
<- rbind(mm_11,mm_13,mm_15,mm_17)
union
$cod_sexo <- union$Sexo
union$cod_sexo[union$cod_sexo == "Hombre"] <- "01"
union$cod_sexo[union$cod_sexo == "Mujer"] <- "02"
union
$cod_alfa <- union$`Sabe leer?`
union$cod_alfa[union$cod_alfa == "Sí"] <- "01"
union$cod_alfa[union$cod_alfa == "No"] <- "02"
union
<- merge(x = union, y = cod_com, by = "comuna")
tab_f <- tab_f[,c(1,2,3,4,5,9,6,10,7,8)]
tab_f
datatable(tab_f, extensions = 'Buttons', escape = FALSE, rownames = FALSE,
options = list(dom = 'Bfrtip',
buttons = list('colvis', list(extend = 'collection',
buttons = list(
list(extend='copy'),
list(extend='excel',
filename = 'tabla_ytotcor_e5a'),
list(extend='pdf',
filename= 'tabla_ytotcor_e5a')),
text = 'Download')), scrollX = TRUE))