What’s going on?
- We are learning how to analyze data
- We are using R programming language
- That looks somehow like that:
Olesya Volchenko, Anna Shirokanova
January 20, 2020
Assignment
x <- 5
x## [1] 5x <- x + 5In R Function takes a form of: function.name(x,y,z)
where x, y and z - arguments of our function.
For example, function sum()
sum(x = 10, y = 15)## [1] 25x1 <- sum(x = 10, y = 15)2 + 2## [1] 42 * 3## [1] 62^3## [1] 8(100-25)/3## [1] 25exp(1)## [1] 2.718282log(10)## [1] 2.302585sqrt(2)## [1] 1.414214prod(2,3)## [1] 6abs(-10)## [1] 10a <- c(1, 2, 3); a## [1] 1 2 3b <- rep(1, 10); b## [1] 1 1 1 1 1 1 1 1 1 1c <- seq(1, 5, 1); c## [1] 1 2 3 4 5d <- 1:5; d## [1] 1 2 3 4 5x <- c(1, 5, 9.5)
y <- c("good", "satisf", "bad")
l <- c(T, F, F)class(x)## [1] "numeric"class(y)## [1] "character"class(l)## [1] "logical"f <- factor(c("yes","no","yes","maybe","maybe","no","maybe","no","no"))
f## [1] yes no yes maybe maybe no maybe no no
## Levels: maybe no yesname <- c("Masha", "Vasya", "Anya", "Petya", "Vanya")
age <- c(18, 17, 19, 21, 20)
weight <- c(45, 80, 69, 92, 60)
height <- c(1.62, 1.75, 1.82, 1.92, 1.70)
gender <- c("F", "M", "F", "M", "M")
course <- c(1, 1, 2, 3, 4)
students <- data.frame(name, age, weight, height, gender, course)
students## name age weight height gender course
## 1 Masha 18 45 1.62 F 1
## 2 Vasya 17 80 1.75 M 1
## 3 Anya 19 69 1.82 F 2
## 4 Petya 21 92 1.92 M 3
## 5 Vanya 20 60 1.70 M 4Let’s call for “gender” variable from “students” dataset
students$gender## [1] F M F M M
## Levels: F Mstudents[1,1] #the 1st row of the 1st column## [1] Masha
## Levels: Anya Masha Petya Vanya Vasyastudents[1, ] #the 1st row ## name age weight height gender course
## 1 Masha 18 45 1.62 F 1students[ , 1] #the 1st column## [1] Masha Vasya Anya Petya Vanya
## Levels: Anya Masha Petya Vanya Vasyahead() - the first 6 rows of your dataset
tail() - the last 6 rows of your dataset
wd - a folder on your computer where R locates files
getwd() # take a look at existing/default wd## [1] "C:/Users/lssi5/YandexDisk/teaching/DA BA 2019"#setwd() # set a new wd
#dir()Avoid cyrillic characters in your working directory
First, we need to check whether the file is in our working directory using dir()
library(foreign)
ESS <- read.spss("C:/Users/lssi5/YandexDisk/teaching/data/ESS5e03_4.sav", use.value.labels=T, to.data.frame=T)
dim(ESS)## [1] 52458 674head(ESS)## name essround edition proddate idno cntry
## 1 ESS5e03_4 5 3.4 01.12.2018 100102 Belgium
## 2 ESS5e03_4 5 3.4 01.12.2018 100106 Belgium
## 3 ESS5e03_4 5 3.4 01.12.2018 100202 Belgium
## 4 ESS5e03_4 5 3.4 01.12.2018 100204 Belgium
## 5 ESS5e03_4 5 3.4 01.12.2018 100209 Belgium
## 6 ESS5e03_4 5 3.4 01.12.2018 100301 Belgium
## tvtot tvpol
## 1 More than 2 hours, up to 2,5 hours Less than 0,5 hour
## 2 More than 1,5 hours, up to 2 hours More than 1 hour, up to 1,5 hours
## 3 More than 1,5 hours, up to 2 hours No time at all
## 4 0,5 hour to 1 hour 0,5 hour to 1 hour
## 5 More than 3 hours More than 1 hour, up to 1,5 hours
## 6 More than 2 hours, up to 2,5 hours No time at all
## rdtot rdpol nwsptot
## 1 Less than 0,5 hour No time at all Less than 0,5 hour
## 2 0,5 hour to 1 hour 0,5 hour to 1 hour Less than 0,5 hour
## 3 No time at all <NA> No time at all
## 4 More than 3 hours 0,5 hour to 1 hour No time at all
## 5 More than 3 hours More than 1,5 hours, up to 2 hours No time at all
## 6 No time at all <NA> Less than 0,5 hour
## nwsppol netuse ppltrst
## 1 Less than 0,5 hour Less than once a month 8
## 2 0,5 hour to 1 hour Several times a week You can't be too careful
## 3 <NA> Every day 5
## 4 <NA> Every day 6
## 5 <NA> No access at home or work 6
## 6 Less than 0,5 hour Every day 4
## pplfair pplhlp polintr
## 1 7 7 Not at all interested
## 2 Most people try to take advantage of me 2 Very interested
## 3 5 5 Not at all interested
## 4 6 7 Quite interested
## 5 8 5 Quite interested
## 6 4 5 Quite interested
## trstprl trstlgl trstplc trstplt trstprt trstep
## 1 4 6 7 3 3 6
## 2 5 4 4 5 4 3
## 3 5 Complete trust Complete trust 5 5 Complete trust
## 4 3 3 5 5 4 7
## 5 4 5 8 4 4 4
## 6 3 1 4 2 2 3
## trstun vote prtvtcbe prtvtbbg prtvtcch prtvthr prtvtcy prtvtbcz prtvcde1
## 1 7 Yes Groen! <NA> <NA> <NA> <NA> <NA> <NA>
## 2 2 No <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 5 Yes <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 8 Yes Open VLD <NA> <NA> <NA> <NA> <NA> <NA>
## 5 8 Yes SP.A <NA> <NA> <NA> <NA> <NA> <NA>
## 6 3 Yes N-VA <NA> <NA> <NA> <NA> <NA> <NA>
## prtvcde2 prtvtbdk prtvtcee prtvtbes prtvtbfi prtvtbfr prtvtgb prtvtcgr
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## prtvtchu prtvtaie prtvtbil prtvlt1 prtvlt2 prtvlt3 prtvtdnl prtvtano
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## prtvtbpl prtvtbpt prtvtbru prtvtase prtvtcsi prtvtbsk prtvtbua contplt
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> No
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> No
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> No
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> No
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA> No
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> No
## wrkprty wrkorg badge sgnptit pbldmn bctprd clsprty prtclcbe prtclbbg
## 1 No Yes No No No No Yes Groen! <NA>
## 2 No No No No No Yes Yes SP.A <NA>
## 3 No No No Yes No No Yes Open VLD <NA>
## 4 No No No No No No No <NA> <NA>
## 5 No No No No No No Yes SP.A <NA>
## 6 No No No No No No No <NA> <NA>
## prtclcch prtclcy prtclhr prtclbcz prtclcde prtclbdk prtclcee prtclbes
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## prtclbfi prtclcfr prtclgb prtclcgr prtclchu prtclcie prtclbil prtcllt
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## prtclcnl prtclano prtcldpl prtclcpt prtclbru prtclase prtclcsi prtclbsk
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## prtclcua prtdgcl mmbprty prtmbcbe prtmbbbg prtmbcch prtmbhr prtmbcy
## 1 <NA> Quite close No <NA> <NA> <NA> <NA> <NA>
## 2 <NA> Quite close No <NA> <NA> <NA> <NA> <NA>
## 3 <NA> Not close No <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> No <NA> <NA> <NA> <NA> <NA>
## 5 <NA> Quite close No <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> No <NA> <NA> <NA> <NA> <NA>
## prtmbbcz prtmbcde prtmbbdk prtmbcee prtmbbes prtmbbfi prtmbcfr prtmbgb
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## prtmbcgr prtmbchu prtmbbie prtmbbil prtmblt prtmbcnl prtmbano prtmbdpl
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## prtmbbpt prtmbbru prtmbase prtmbcsi prtmbbsk prtmbcua lrscale stflife
## 1 <NA> <NA> <NA> <NA> <NA> <NA> 1 7
## 2 <NA> <NA> <NA> <NA> <NA> <NA> 5 5
## 3 <NA> <NA> <NA> <NA> <NA> <NA> 5 8
## 4 <NA> <NA> <NA> <NA> <NA> <NA> 4 8
## 5 <NA> <NA> <NA> <NA> <NA> <NA> 2 9
## 6 <NA> <NA> <NA> <NA> <NA> <NA> 5 3
## stfeco stfgov stfdem stfedu stfhlth
## 1 7 Extremely dissatisfied 7 7 8
## 2 4 3 3 3 1
## 3 Extremely satisfied 5 5 8 8
## 4 1 1 5 6 7
## 5 7 5 6 8 7
## 6 2 2 2 8 8
## gincdif freehms prtyban
## 1 Agree Disagree strongly Neither agree nor disagree
## 2 Agree strongly Neither agree nor disagree Agree
## 3 Agree Agree Agree
## 4 Agree strongly Agree strongly Agree strongly
## 5 Agree strongly Agree strongly Agree
## 6 Agree strongly Agree strongly Agree strongly
## scnsenv imsmetn
## 1 Agree Allow some
## 2 Neither agree nor disagree Allow many to come and live here
## 3 Neither agree nor disagree Allow a few
## 4 Agree Allow many to come and live here
## 5 Agree Allow a few
## 6 Neither agree nor disagree Allow a few
## imdfetn impcntr imbgeco imueclt imwbcnt
## 1 Allow some Allow some 7 6 6
## 2 Allow many to come and live here Allow a few 4 5 5
## 3 Allow a few Allow a few 5 8 2
## 4 Allow many to come and live here Allow some 6 7 7
## 5 Allow a few Allow a few 6 8 8
## 6 Allow a few Allow a few 2 8 5
## happy sclmeet inmdisc sclact crmvct
## 1 8 Once a week Yes About the same No
## 2 8 Once a week No Much less than most Yes
## 3 8 Once a week Yes Less than most No
## 4 8 Several times a week Yes About the same No
## 5 9 Several times a week Yes About the same No
## 6 2 Once a week No Less than most No
## aesfdrk brghmwr brghmef
## 1 Very safe Never <NA>
## 2 Safe Never <NA>
## 3 Very unsafe Just occasionally No real effect on quality of life
## 4 Safe Never <NA>
## 5 Safe Some of the time Some effect
## 6 Safe Some of the time Some effect
## crvctwr crvctef health hlthhmp
## 1 Never <NA> Good No
## 2 Some of the time No real effect on quality of life Fair No
## 3 Some of the time Some effect Good No
## 4 Never <NA> Good No
## 5 Never <NA> Good No
## 6 Just occasionally No real effect on quality of life Good No
## rlgblg rlgdnm rlgdnbe rlgdnach rlgdncy rlgdnde rlgdndk
## 1 Yes Islamic Islam/Moslim <NA> <NA> <NA> <NA>
## 2 No <NA> <NA> <NA> <NA> <NA> <NA>
## 3 No <NA> <NA> <NA> <NA> <NA> <NA>
## 4 Yes Roman Catholic (Rooms) Katholiek <NA> <NA> <NA> <NA>
## 5 No <NA> <NA> <NA> <NA> <NA> <NA>
## 6 Yes Roman Catholic (Rooms) Katholiek <NA> <NA> <NA> <NA>
## rlgdnafi rlgdngb rlgdnagr rlgdnhu rlgdnie rlgdnil rlgdnlt rlgdnnl
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## rlgdnno rlgdnapl rlgdnpt rlgdnaru rlgdnase rlgdnsi rlgdnsk rlgdnua
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## rlgblge rlgdnme rlgdebe rlgdeach rlgdecy rlgdede rlgdedk rlgdeafi
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 No <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 No <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 No <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## rlgdegb rlgdeagr rlgdehu rlgdeie rlgdeil rlgdelt rlgdenl rlgdeno
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## rlgdeapl rlgdept rlgdearu rlgdease rlgdesi rlgdesk rlgdeua
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## rlgdgr rlgatnd pray dscrgrp dscrrce
## 1 5 Never Never No Not marked
## 2 7 Less often Every day No Not marked
## 3 Not at all religious Never Never No Not marked
## 4 5 Less often Never No Not marked
## 5 5 Never Less often Yes Not marked
## 6 9 Once a week Every day No Not marked
## dscrntn dscrrlg dscrlng dscretn dscrage dscrgnd
## 1 Not marked Not marked Not marked Not marked Not marked Not marked
## 2 Not marked Not marked Not marked Not marked Not marked Not marked
## 3 Not marked Not marked Not marked Not marked Not marked Not marked
## 4 Not marked Not marked Not marked Not marked Not marked Not marked
## 5 Not marked Not marked Not marked Not marked Not marked Not marked
## 6 Not marked Not marked Not marked Not marked Not marked Not marked
## dscrsex dscrdsb dscroth dscrdk dscrref dscrnap
## 1 Not marked Not marked Not marked Not marked Not marked Marked
## 2 Not marked Not marked Not marked Not marked Not marked Marked
## 3 Not marked Not marked Not marked Not marked Not marked Marked
## 4 Not marked Not marked Not marked Not marked Not marked Marked
## 5 Not marked Not marked Marked Not marked Not marked Not marked
## 6 Not marked Not marked Not marked Not marked Not marked Marked
## dscrna ctzcntr ctzshipb brncntr
## 1 Not marked Yes <NA> No
## 2 Not marked No Congo, The Democratic Republic of the No
## 3 Not marked Yes <NA> Yes
## 4 Not marked Yes <NA> Yes
## 5 Not marked Yes <NA> Yes
## 6 Not marked Yes <NA> Yes
## cntbrthb livecnta lnghom1 lnghom2 blgetmg
## 1 Turkey 1992 Kurdish Dutch No
## 2 Congo, The Democratic Republic of the 2008 French <NA> No
## 3 <NA> <NA> Dutch <NA> No
## 4 <NA> <NA> French Dutch No
## 5 <NA> <NA> Dutch <NA> No
## 6 <NA> <NA> Dutch <NA> No
## facntr fbrncnta mocntr
## 1 No Turkey No
## 2 No Congo, The Democratic Republic of the No
## 3 Yes <NA> Yes
## 4 Yes <NA> No
## 5 Yes <NA> Yes
## 6 Yes <NA> Yes
## mbrncnta insclwr bystlwr
## 1 Turkey Wrong Wrong
## 2 Congo, The Democratic Republic of the A bit wrong Seriously wrong
## 3 <NA> A bit wrong A bit wrong
## 4 Congo, The Democratic Republic of the Seriously wrong Seriously wrong
## 5 <NA> Seriously wrong Wrong
## 6 <NA> Seriously wrong Seriously wrong
## trfowr insclct bystlct trfoct
## 1 Seriously wrong Not very likely Likely Very likely
## 2 Wrong Very likely Very likely Very likely
## 3 Seriously wrong Likely Not very likely Very likely
## 4 Wrong Very likely Not very likely Very likely
## 5 Seriously wrong Not very likely Not at all likely Not very likely
## 6 Seriously wrong Very likely Very likely Likely
## plcjbcn plccont plcstf
## 1 Good job Yes Neither dissatisfied nor satisfied
## 2 Neither good nor bad job No <NA>
## 3 Good job Yes Very satisfied
## 4 Bad job Yes Neither dissatisfied nor satisfied
## 5 Good job Yes Very dissatisfied
## 6 Good job Yes Very satisfied
## plcvcrp plcvcrc
## 1 Poor people treated worse People from different race treated worse
## 2 Poor people treated worse People from all races treated equally
## 3 Rich and poor treated equally People from different race treated worse
## 4 Poor people treated worse People from different race treated worse
## 5 Rich and poor treated equally People from different race treated worse
## 6 Poor people treated worse People from different race treated worse
## plcpvcr plccbrg plcarcr plcrspc plcfrdc
## 1 05 05 Extremely slowly Not very often Not very often
## 2 05 05 5 Not very often Not very often
## 3 05 03 4 Often Not very often
## 4 04 05 7 Not very often Often
## 5 08 06 7 Often Not very often
## 6 04 02 3 Often Not very often
## plcexdc bplcdc
## 1 Not very often Not at all my duty
## 2 Not very often 5
## 3 Often Completely my duty
## 4 No one ever asks the police to explain 4
## 5 Often 2
## 6 Not very often 8
## doplcsy dpcstrb plcrgwr
## 1 Not at all my duty Not at all my duty Agree
## 2 5 5 Neither agree nor disagree
## 3 Completely my duty Completely my duty Agree
## 4 4 5 Agree
## 5 2 2 Neither agree nor disagree
## 6 8 8 Agree
## plcipvl gsupplc
## 1 Neither agree nor disagree Neither agree nor disagree
## 2 Neither agree nor disagree Neither agree nor disagree
## 3 Agree Agree strongly
## 4 Disagree Neither agree nor disagree
## 5 Agree Agree
## 6 Agree Agree
## plciplt plccbrb ctjbcnt ctmtgfr
## 1 Agree 1 Good job 7
## 2 Agree strongly 5 Neither good nor bad job 5
## 3 Neither agree nor disagree 8 Good job 5
## 4 Neither agree nor disagree 6 Good job 6
## 5 Agree 8 Good job 8
## 6 Agree strongly 5 Neither good nor bad job 7
## ctfrdc wraccrp
## 1 3 Poor person more likely to be found guilty
## 2 5 Poor person more likely to be found guilty
## 3 8 Poor person more likely to be found guilty
## 4 5 Poor person more likely to be found guilty
## 5 8 Poor person more likely to be found guilty
## 6 3 Poor person more likely to be found guilty
## wraccrc jdgcbrb
## 1 All races same chance of being found guilty 1
## 2 All races same chance of being found guilty 5
## 3 Person from different race more likely to be found guilty 7
## 4 Person from same race more likely to be found guilty 3
## 5 Person from same race more likely to be found guilty 8
## 6 Person from different race more likely to be found guilty 7
## ctprpwr hrshsnta dbctvrd
## 1 Agree Agree Neither agree nor disagree
## 2 Agree strongly Agree strongly Neither agree nor disagree
## 3 Neither agree nor disagree Agree strongly Disagree
## 4 Neither agree nor disagree Disagree Disagree
## 5 Agree strongly Agree Disagree
## 6 Agree strongly Agree strongly Neither agree nor disagree
## lwstrob rgbrklw
## 1 Neither agree nor disagree Neither agree nor disagree
## 2 Agree Agree strongly
## 3 Agree strongly Agree
## 4 Neither agree nor disagree Agree
## 5 Neither agree nor disagree Agree
## 6 Agree Disagree
## ctinplt stcbg2t tmprs caplcst
## 1 Agree Suspended prison <NA> Likely
## 2 Agree strongly Other sentence <NA> Very likely
## 3 Neither agree nor disagree Prison sentence 7-11 months Very likely
## 4 Disagree Community sentence <NA> Very likely
## 5 Agree Community sentence <NA> Very likely
## 6 Agree strongly Fine <NA> Very likely
## widprsn wevdct flsin5y bstln5y troff5y hhmmb gndr
## 1 Not very willing Willing Never Once Never 5 Male
## 2 Very willing Very willing Never Never Once 8 Male
## 3 Very willing Not very willing Never Never Never 1 Female
## 4 Very willing Willing Never Never Twice 2 Female
## 5 Very willing Very willing Never Never Never 2 Female
## 6 Very willing Very willing Never Never Never 3 Female
## gndr2 gndr3 gndr4 gndr5 gndr6 gndr7 gndr8 gndr9 gndr10 gndr11
## 1 Male Female Male Female <NA> <NA> <NA> <NA> <NA> <NA>
## 2 Female Male Female Female Male Female Male <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 Male <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 Male <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 Male Male <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## gndr12 gndr13 gndr14 yrbrn agea yrbrn2 yrbrn3 yrbrn4 yrbrn5 yrbrn6
## 1 <NA> <NA> <NA> 1988 22 1960 1965 1992 1993 <NA>
## 2 <NA> <NA> <NA> 1967 43 1969 1996 1998 1999 2007
## 3 <NA> <NA> <NA> 1991 19 <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> 1987 23 1974 <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> 1952 58 1949 <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> 1948 62 1946 1985 <NA> <NA> <NA>
## yrbrn7 yrbrn8 yrbrn9 yrbrn10 yrbrn11 yrbrn12 yrbrn13 yrbrn14
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 2008 2010 <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## rshipa2 rshipa3
## 1 Brother/sister/step/adopted/foster Parent/parent-in-law
## 2 Husband/wife/partner Son/daughter/step/adopted/foster
## 3 <NA> <NA>
## 4 Husband/wife/partner <NA>
## 5 Husband/wife/partner <NA>
## 6 Husband/wife/partner Son/daughter/step/adopted/foster
## rshipa4 rshipa5
## 1 Brother/sister/step/adopted/foster Brother/sister/step/adopted/foster
## 2 Son/daughter/step/adopted/foster Son/daughter/step/adopted/foster
## 3 <NA> <NA>
## 4 <NA> <NA>
## 5 <NA> <NA>
## 6 <NA> <NA>
## rshipa6 rshipa7
## 1 <NA> <NA>
## 2 Son/daughter/step/adopted/foster Son/daughter/step/adopted/foster
## 3 <NA> <NA>
## 4 <NA> <NA>
## 5 <NA> <NA>
## 6 <NA> <NA>
## rshipa8 rshipa9 rshipa10 rshipa11 rshipa12
## 1 <NA> <NA> <NA> <NA> <NA>
## 2 Son/daughter/step/adopted/foster <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA>
## rshipa13 rshipa14 icpart1
## 1 <NA> <NA> Does not
## 2 <NA> <NA> Respondent lives with husband/wife/partner
## 3 <NA> <NA> Does not
## 4 <NA> <NA> Respondent lives with husband/wife/partner
## 5 <NA> <NA> Respondent lives with husband/wife/partner
## 6 <NA> <NA> Respondent lives with husband/wife/partner
## rshpsts lvgptnea dvrcdeva
## 1 <NA> No No
## 2 Legally married Yes Yes
## 3 <NA> No No
## 4 Living with my partner - not legally recognised <NA> No
## 5 Legally married No No
## 6 Legally married No No
## icpart2 iccohbt
## 1 Does not <NA>
## 2 Respondent lives with husband/wife/partner All others
## 3 Does not <NA>
## 4 Respondent lives with husband/wife/partner Respondent cohabiting
## 5 Respondent lives with husband/wife/partner All others
## 6 Respondent lives with husband/wife/partner All others
## marsts
## 1 None of these (NEVER married or in legally registered civil union)
## 2 <NA>
## 3 None of these (NEVER married or in legally registered civil union)
## 4 None of these (NEVER married or in legally registered civil union)
## 5 <NA>
## 6 <NA>
## marstie
## 1 <NA>
## 2 <NA>
## 3 <NA>
## 4 <NA>
## 5 <NA>
## 6 <NA>
## maritalb
## 1 None of these (NEVER married or in legally registered civil union)
## 2 Legally married
## 3 None of these (NEVER married or in legally registered civil union)
## 4 None of these (NEVER married or in legally registered civil union)
## 5 Legally married
## 6 Legally married
## chldhm chldhhe fxltph
## 1 Does not No No
## 2 Respondent lives with children at household grid <NA> No
## 3 Does not No No
## 4 Does not No No
## 5 Does not Yes Yes
## 6 Respondent lives with children at household grid <NA> Yes
## domicil
## 1 A big city
## 2 Town or small city
## 3 A big city
## 4 A big city
## 5 Suburbs or outskirts of big city
## 6 Suburbs or outskirts of big city
## edulvlb
## 1 Vocational ISCED 3A, access upper tier ISCED 5A/all 5
## 2 ISCED 5A medium, bachelor/equivalent from lower tier tertiary
## 3 Vocational ISCED 3C >= 2 years, no access ISCED 5
## 4 ISCED 5A medium, bachelor/equivalent from lower tier tertiary
## 5 ISCED 5A medium, bachelor/equivalent from lower tier tertiary
## 6 ISCED 5A medium, bachelor/equivalent from lower tier tertiary
## eisced
## 1 ES-ISCED IIIa, upper tier upper secondary
## 2 ES-ISCED V1, lower tertiary education, BA level
## 3 ES-ISCED IIIb, lower tier upper secondary
## 4 ES-ISCED V1, lower tertiary education, BA level
## 5 ES-ISCED V1, lower tertiary education, BA level
## 6 ES-ISCED V1, lower tertiary education, BA level
## edlvdbe
## 1 Diploma van het secundair onderwijs (TSO of KSO); Diploma van het hoger secundair technisch (of kunst) onderwijs
## 2 Diploma hogescholenonderwijs van 1 cyclus: graduaat of professionele bachelor; Voortgezette opleiding volgend op hogesch
## 3 Studiegetuigschrift van secundair onderwijs (na 6e jaar BSO), Diploma van het hoger secundair beroepsonderwijs
## 4 Diploma hogescholenonderwijs van 1 cyclus: graduaat of professionele bachelor; Voortgezette opleiding volgend op hogesch
## 5 Diploma hogescholenonderwijs van 1 cyclus: graduaat of professionele bachelor; Voortgezette opleiding volgend op hogesch
## 6 Diploma hogescholenonderwijs van 1 cyclus: graduaat of professionele bachelor; Voortgezette opleiding volgend op hogesch
## edlvdbg edlvdch edlvdhr edlvdcy edlvdcz edude1 edude2 edude3 edlvddk
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## edlvdee edlvdes edlvdfi edlvdfr edugb1 edugb2 edagegb edlvdgr edlvdhu
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## edlvdie eduil1 eduil2 edlvdlt edlvdnl edlvdno edlvdpl eduyrpl edupl2
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## edlvdpt edlvdru edlvdse edlvdsi edlvdsk edlvdua eduyrs pdwrk
## 1 <NA> <NA> <NA> <NA> <NA> <NA> 15 Not marked
## 2 <NA> <NA> <NA> <NA> <NA> <NA> 15 Marked
## 3 <NA> <NA> <NA> <NA> <NA> <NA> 13 Not marked
## 4 <NA> <NA> <NA> <NA> <NA> <NA> 15 Marked
## 5 <NA> <NA> <NA> <NA> <NA> <NA> 15 Not marked
## 6 <NA> <NA> <NA> <NA> <NA> <NA> 13 Not marked
## edctn uempla uempli dsbld rtrd cmsrv
## 1 Not marked Marked Not marked Not marked Not marked Not marked
## 2 Not marked Not marked Not marked Not marked Not marked Not marked
## 3 Marked Not marked Not marked Not marked Not marked Not marked
## 4 Marked Not marked Not marked Not marked Not marked Not marked
## 5 Not marked Not marked Marked Not marked Not marked Not marked
## 6 Not marked Not marked Not marked Not marked Marked Not marked
## hswrk dngoth dngdk dngref dngna mainact
## 1 Not marked Not marked Not marked Not marked Not marked <NA>
## 2 Not marked Not marked Not marked Not marked Not marked <NA>
## 3 Not marked Not marked Not marked Not marked Not marked <NA>
## 4 Not marked Not marked Not marked Not marked Not marked Paid work
## 5 Not marked Not marked Not marked Not marked Not marked <NA>
## 6 Not marked Not marked Not marked Not marked Not marked <NA>
## mnactic crpdwk pdjobev pdjobyr emplrel emplno
## 1 Unemployed, looking for job No Yes 2009 Employee <NA>
## 2 Paid work <NA> <NA> <NA> Employee <NA>
## 3 Education Yes <NA> <NA> Employee <NA>
## 4 Paid work <NA> <NA> <NA> Employee <NA>
## 5 Unemployed, not looking for job Yes <NA> <NA> Employee <NA>
## 6 Retired No Yes 2008 Employee <NA>
## wrkctra jbtmppm estsz
## 1 Limited Temporary/fixed term job lasting less than 12 months Under 10
## 2 Limited Other Under 10
## 3 Unlimited <NA> Under 10
## 4 Unlimited <NA> 10 to 24
## 5 Unlimited <NA> 25 to 99
## 6 Unlimited <NA> 10 to 24
## jbspv njbspv wkdcorga iorgact
## 1 No <NA> I have/had no influence I have/had no influence
## 2 No <NA> 5 5
## 3 Yes 2 I have/had no influence I have/had no influence
## 4 No <NA> 4 2
## 5 Yes 50 8 7
## 6 No <NA> 9 9
## wkdcpce wkhct wkhtot
## 1 I have/had no influence 38 38
## 2 4 36 30
## 3 I have/had no influence 8 12
## 4 5 30 33
## 5 I have/had no influence 38 50
## 6 8 30 42
## nacer2
## 1 Retail trade, except of motor vehicles and motorcycles
## 2 Services to buildings and landscape activities
## 3 Retail trade, except of motor vehicles and motorcycles
## 4 Human health activities
## 5 Manufacture of textiles
## 6 Education
## tporgwk
## 1 A private firm
## 2 A private firm
## 3 A private firm
## 4 Other public sector (such as education and health)
## 5 A private firm
## 6 A state owned enterprise
## iscoco rsnlvem
## 1 Other office clerks Contract ended
## 2 Domestic helpers and cleaners Personal or family reasons
## 3 Shop,stall,market salespers, demonstrators Obtained a better job
## 4 Nursing and midwifery professionals Never left an employer
## 5 Managers in manufacturing Obtained a better job
## 6 Primary education teaching professionals Retired
## wrkac6m uemp3m uemp12m uemp5yr mbtru
## 1 No No <NA> <NA> Yes, currently
## 2 Yes Yes Yes Yes Yes, currently
## 3 No No <NA> <NA> No
## 4 No No <NA> <NA> No
## 5 No No <NA> <NA> Yes, currently
## 6 No No <NA> <NA> Yes, currently
## hincsrca hinctnta pphincr
## 1 Wages or salaries <NA> Very small
## 2 Wages or salaries F - 5th decile Over a half
## 3 Any other social benefits or grants J - 1st decile All
## 4 Wages or salaries H - 10th decile About half
## 5 Pensions S - 6th decile Under a half
## 6 Pensions F - 5th decile Very large
## hincfel brwmny
## 1 Coping on present income Neither easy nor difficult
## 2 Difficult on present income Very difficult
## 3 Difficult on present income Very difficult
## 4 Living comfortably on present income Quite easy
## 5 Living comfortably on present income Neither easy nor difficult
## 6 Living comfortably on present income Quite difficult
## icpart3
## 1 Does not
## 2 Respondent lives with husband/wife/partner
## 3 Does not
## 4 Respondent lives with husband/wife/partner
## 5 Respondent lives with husband/wife/partner
## 6 Respondent lives with husband/wife/partner
## edulvlpb
## 1 <NA>
## 2 Vocational ISCED 3C >= 2 years, no access ISCED 5
## 3 <NA>
## 4 ISCED 5A long, master/equivalent from upper/single tier tertiary
## 5 ISCED 4 programmes without access ISCED 5
## 6 General ISCED 3A, access upper tier ISCED 5A/all 5
## eiscedp
## 1 <NA>
## 2 ES-ISCED IIIb, lower tier upper secondary
## 3 <NA>
## 4 ES-ISCED V2, higher tertiary education, >= MA level
## 5 ES-ISCED IV, advanced vocational, sub-degree
## 6 ES-ISCED IIIa, upper tier upper secondary
## edlvpdbe
## 1 <NA>
## 2 Studiegetuigschrift van secundair onderwijs (na 6e jaar BSO), Diploma van het hoger secundair beroepsonderwijs
## 3 <NA>
## 4 Universitair diploma van licentiaat of master; Diploma van doctor, ingenieur (universitair), apotheker, arts
## 5 Studiegetuigschrift van het 3de leerjaar van de 3de graad TSO, KSO of BSO; 4de graad BSO; Diploma 'Ondernemersopleiding'
## 6 Diploma van het secundair onderwijs (ASO), Diploma van het hoger algemeen secundair onderwijs
## edlvpdbg edlvpdch edlvpdhr edlvpdcy edlvpdcz edupde1 edupde2 edupde3
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## edlvpddk edlvpdee edlvpdes edlvpdfi edlvpdfr edupgb1 edupgb2 edagepgb
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## edlvpdgr edlvpdhu edlvpdie edupil1 edupil2 edlvpdlt edlvpdnl edlvpdno
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## edlvpdpl eduyrppl eduppl2 edlvpdpt edlvpdru edlvpdse edlvpdsi edlvpdsk
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## edlvpdua pdwrkp edctnp uemplap uemplip dsbldp
## 1 <NA> Not marked Not marked Not marked Not marked Not marked
## 2 <NA> Not marked Not marked Not marked Not marked Not marked
## 3 <NA> Not marked Not marked Not marked Not marked Not marked
## 4 <NA> Marked Not marked Not marked Not marked Not marked
## 5 <NA> Not marked Not marked Not marked Not marked Not marked
## 6 <NA> Not marked Not marked Not marked Not marked Not marked
## rtrdp cmsrvp hswrkp dngothp dngdkp dngnapp
## 1 Not marked Not marked Not marked Not marked Not marked Marked
## 2 Not marked Not marked Marked Not marked Not marked Not marked
## 3 Not marked Not marked Not marked Not marked Not marked Marked
## 4 Not marked Not marked Not marked Not marked Not marked Not marked
## 5 Marked Not marked Not marked Not marked Not marked Not marked
## 6 Marked Not marked Not marked Not marked Not marked Not marked
## dngrefp dngnap mnactp crpdwkp iscocop emprelp
## 1 Not marked Not marked <NA> <NA> <NA> <NA>
## 2 Not marked Not marked <NA> No <NA> <NA>
## 3 Not marked Not marked <NA> <NA> <NA> <NA>
## 4 Not marked Not marked <NA> <NA> Medical doctors Self-employed
## 5 Not marked Not marked <NA> No <NA> <NA>
## 6 Not marked Not marked <NA> No <NA> <NA>
## emplnop jbspvp njbspvp wkhtotp
## 1 <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA>
## 4 <NA> Yes <NA> 40
## 5 <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA>
## edulvlfb
## 1 Vocational ISCED 3A, access upper tier ISCED 5A/all 5
## 2 ISCED 5A long, master/equivalent from upper/single tier tertiary
## 3 <NA>
## 4 Vocational ISCED 3A, access upper tier ISCED 5A/all 5
## 5 Vocational ISCED 3A, access upper tier ISCED 5A/all 5
## 6 Vocational ISCED 2A/2B, access ISCED 3 vocational
## eiscedf
## 1 ES-ISCED IIIa, upper tier upper secondary
## 2 ES-ISCED V2, higher tertiary education, >= MA level
## 3 <NA>
## 4 ES-ISCED IIIa, upper tier upper secondary
## 5 ES-ISCED IIIa, upper tier upper secondary
## 6 ES-ISCED II, lower secondary
## edlvfdbe
## 1 Diploma van het secundair onderwijs (TSO of KSO); Diploma van het hoger secundair technisch (of kunst) onderwijs
## 2 Universitair diploma van licentiaat of master; Diploma van doctor, ingenieur (universitair), apotheker, arts
## 3 <NA>
## 4 Diploma van het secundair onderwijs (TSO of KSO); Diploma van het hoger secundair technisch (of kunst) onderwijs
## 5 Diploma van het secundair onderwijs (TSO of KSO); Diploma van het hoger secundair technisch (of kunst) onderwijs
## 6 Lager beroepsonderwijs, Lager technisch onderwijs
## edlvfdbg edlvfdch edlvfdhr edlvfdcy edlvfdcz edufde1 edufde2 edufde3
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## edlvfddk edlvfdee edlvfdes edlvfdfi edlvfdfr edufgb1 edufgb2 edagefgb
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## edlvfdgr edlvfdhu edlvfdie edufil1 edufil2 edlvfdlt edlvfdnl edlvfdno
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## edlvfdpl edlvfdpt edlvfdru edlvfdse edlvfdsi edlvfdsk edlvfdua
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## emprf14 emplnof jbspvf occf14b
## 1 Employee <NA> No Semi-skilled worker
## 2 Employee <NA> Yes Higher administrator occupations
## 3 Father dead/absent <NA> <NA> <NA>
## 4 Employee <NA> Yes Professional and technical occupations
## 5 Employee <NA> Yes Skilled worker
## 6 Not working <NA> <NA> <NA>
## edulvlmb
## 1 Not completed ISCED level 1
## 2 Vocational ISCED 3C >= 2 years, no access ISCED 5
## 3 ISCED 1, completed primary education
## 4 ISCED 5A medium, bachelor/equivalent from lower tier tertiary
## 5 ISCED 1, completed primary education
## 6 Vocational ISCED 2A/2B, access ISCED 3 vocational
## eiscedm
## 1 ES-ISCED I , less than lower secondary
## 2 ES-ISCED IIIb, lower tier upper secondary
## 3 ES-ISCED I , less than lower secondary
## 4 ES-ISCED V1, lower tertiary education, BA level
## 5 ES-ISCED I , less than lower secondary
## 6 ES-ISCED II, lower secondary
## edlvmdbe
## 1 Niet voltooid lager onderwijs
## 2 Studiegetuigschrift van secundair onderwijs (na 6e jaar BSO), Diploma van het hoger secundair beroepsonderwijs
## 3 Getuigschrift Basisonderwijs
## 4 Diploma hogescholenonderwijs van 1 cyclus: graduaat of professionele bachelor; Voortgezette opleiding volgend op hogesch
## 5 Getuigschrift Basisonderwijs
## 6 Lager beroepsonderwijs, Lager technisch onderwijs
## edlvmdbg edlvmdch edlvmdhr edlvmdcy edlvmdcz edumde1 edumde2 edumde3
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## edlvmddk edlvmdee edlvmdes edlvmdfi edlvmdfr edumgb1 edumgb2 edagemgb
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## edlvmdgr edlvmdhu edlvmdie edumil1 edumil2 edlvmdlt edlvmdnl edlvmdno
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## edlvmdpl edlvmdpt edlvmdru edlvmdse edlvmdsi edlvmdsk edlvmdua
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## emprm14 emplnom jbspvm occm14b
## 1 Not working <NA> <NA> <NA>
## 2 Self-employed None <NA> Sales occupations
## 3 Not working <NA> <NA> <NA>
## 4 Employee <NA> No Professional and technical occupations
## 5 Not working <NA> <NA> <NA>
## 6 Not working <NA> <NA> <NA>
## atncrse edul12m useknwl edupdem gdsprt
## 1 No <NA> <NA> <NA> Less than half of the time
## 2 No <NA> <NA> <NA> More than half of the time
## 3 No <NA> <NA> <NA> Most of the time
## 4 Yes 60 Quite useful None Most of the time
## 5 No <NA> <NA> <NA> All of the time
## 6 No <NA> <NA> <NA> Less than half of the time
## clmrlx actvgrs
## 1 Less than half of the time Less than half of the time
## 2 More than half of the time More than half of the time
## 3 Less than half of the time Less than half of the time
## 4 Some of the time Most of the time
## 5 More than half of the time All of the time
## 6 Most of the time Most of the time
## wmcpwrk mnrgtjb gvprppv
## 1 Disagree Disagree Agree
## 2 Neither agree nor disagree Disagree Agree strongly
## 3 Disagree strongly Disagree strongly Agree
## 4 Disagree Disagree strongly Agree strongly
## 5 Disagree Disagree Agree
## 6 Disagree Disagree strongly Agree strongly
## fltlnla mlohinc dsdclve cuthheq
## 1 None or almost none of the time 1 1 1
## 2 Some of the time 2 3 3
## 3 Some of the time A great deal Not at all A great deal
## 4 None or almost none of the time 3 1 Not at all
## 5 Some of the time Not at all Not at all Not at all
## 6 Some of the time 2 5 A great deal
## yrspdwka icmnact
## 1 1 All others
## 2 18 In paid work
## 3 Never had a paid job All others
## 4 2 In paid work
## 5 32 All others
## 6 41 Retired
## jbtsktm yrskdwk
## 1 <NA> <NA>
## 2 Working with physical objects and/or other physical material 1
## 3 <NA> <NA>
## 4 Working with people other than employees 2
## 5 <NA> <NA>
## 6 <NA> <NA>
## wrkengt wkovrtm wrkwe yrcremp emplrjb
## 1 <NA> <NA> <NA> <NA> <NA>
## 2 Once a week Never Several times a month 2009 No, none
## 3 <NA> <NA> <NA> <NA> <NA>
## 4 Several times a week Once a week Several times a month 2008 Yes, many
## 5 <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA>
## mnrsefw
## 1 <NA>
## 2 It is everyone's duty to always do their best
## 3 <NA>
## 4 It is everyone's duty to always do their best
## 5 <NA>
## 6 <NA>
## scrsefw jbcoedu jbedyrs jblrn
## 1 <NA> <NA> <NA> <NA>
## 2 Keep my job No <NA> 1 day or less
## 3 <NA> <NA> <NA> <NA>
## 4 My work is useful for other people Yes About 3 years 1-3 months
## 5 <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA>
## vrtywrk jbrqlrn wgdpeft hlpcowk
## 1 <NA> <NA> <NA> <NA>
## 2 Not at all true Not at all true Not at all true Not at all true
## 3 <NA> <NA> <NA> <NA>
## 4 Quite true A little true Not at all true Quite true
## 5 <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA>
## hlthrwk dcsfwrk jbscr lsintjb
## 1 <NA> <NA> <NA> <NA>
## 2 Very true Not at all true Not at all true Not at all true
## 3 <NA> <NA> <NA> <NA>
## 4 A little true Not at all true A little true Not at all true
## 5 <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA>
## wrkhrd nevdnjb oprtad
## 1 <NA> <NA> <NA>
## 2 Agree strongly Neither agree nor disagree Agree strongly
## 3 <NA> <NA> <NA>
## 4 Agree strongly Neither agree nor disagree Neither agree nor disagree
## 5 <NA> <NA> <NA>
## 6 <NA> <NA> <NA>
## bsmw ppwwkp bseftwk smblvjb rpljbde wpmwkcp indisdc
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 Man About half 4 5 5 No <NA>
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 Woman Very large 3 8 2 No <NA>
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## truinwk pdaprpa wrywprb trdawrk jbprtfp
## 1 <NA> <NA> <NA> <NA> <NA>
## 2 Not much or no influence Disagree Always Sometimes Never
## 3 <NA> <NA> <NA> <NA> <NA>
## 4 Not much or no influence Disagree strongly Sometimes Sometimes Sometimes
## 5 <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA>
## icnopfma pfmfdjba frsptjb dfcnswka stfmjob stfjbot wkjbndm
## 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 2 All others Never Never Never 1 1 Disagree
## 3 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 4 All others Hardly ever Hardly ever Hardly ever 7 5 Agree
## 5 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## grspaya payprda linwk3y rdpay3y wkshr3y lscjb3y
## 1 <NA> <NA> <NA> <NA> <NA> <NA>
## 2 1400 Four weeks Yes Yes Yes No
## 3 <NA> <NA> <NA> <NA> <NA> <NA>
## 4 1400 Calendar month Yes No Yes No
## 5 <NA> <NA> <NA> <NA> <NA> <NA>
## 6 <NA> <NA> <NA> <NA> <NA> <NA>
## orgfd3y npemp3y
## 1 <NA> <NA>
## 2 <NA> <NA>
## 3 <NA> <NA>
## 4 Not much financial difficulty Decreased a little
## 5 <NA> <NA>
## 6 <NA> <NA>
## icagu70a ipjbini ipjbscr
## 1 Respondent under 70 years Not important Not important
## 2 Respondent under 70 years Not important at all Important
## 3 Respondent under 70 years Important Very important
## 4 Respondent under 70 years Important Very important
## 5 Respondent under 70 years Important Important
## 6 Respondent under 70 years Important Very important
## ipjbhin ipjbwfm ipjbtro pdjbndm
## 1 Very important Important Important Neither agree nor disagree
## 2 Important Important Important Agree strongly
## 3 Very important Very important Important Neither agree nor disagree
## 4 Important Very important Very important Agree
## 5 Important Important Important Agree
## 6 Very important Very important Very important Agree strongly
## uemp3y wkhsch icptn
## 1 1 <NA> Does not
## 2 24 40 Lives with husband/wife/partner
## 3 Not unemployed last 3 years 32 Does not
## 4 Not unemployed last 3 years 30 Lives with husband/wife/partner
## 5 36 20 Lives with husband/wife/partner
## 6 Not unemployed last 3 years <NA> Lives with husband/wife/partner
## pwkhsch puemp3y hwwkhs phwwkhs
## 1 <NA> <NA> <NA> <NA>
## 2 30 Partner not unemployed in the last 3 years 8 20
## 3 <NA> <NA> <NA> <NA>
## 4 40 Partner not unemployed in the last 3 years 9 5
## 5 20 Partner not unemployed in the last 3 years 16 16
## 6 0 Partner not unemployed in the last 3 years 20 0
## dsgrmnya icptnwka wkengtp
## 1 <NA> <NA> <NA>
## 2 Less than once a month Partner is not in paid work <NA>
## 3 <NA> <NA> <NA>
## 4 Less than once a month Partner is in paid work Several times a week
## 5 Never Partner is not in paid work <NA>
## 6 Several times a week Partner is not in paid work <NA>
## wkovtmp ptnwkwe icmnart
## 1 <NA> <NA> All others
## 2 <NA> <NA> All others
## 3 <NA> <NA> All others
## 4 Once a week Several times a month All others
## 5 <NA> <NA> All others
## 6 <NA> <NA> Respondent's main activity is retired
## rtryr wntrtr icago45 agertr
## 1 <NA> <NA> <NA> <NA>
## 2 <NA> <NA> Respondent 45 years or younger <NA>
## 3 <NA> <NA> Respondent 45 years or younger <NA>
## 4 <NA> <NA> Respondent 45 years or younger <NA>
## 5 <NA> <NA> Respondent over 45 years 60
## 6 2008 Wanted to retire Respondent over 45 years 60
## plnchld ipcrtiv imprich ipeqopt
## 1 <NA> Somewhat like me Somewhat like me Somewhat like me
## 2 Definitely not Somewhat like me Not like me Somewhat like me
## 3 Probably not A little like me A little like me Like me
## 4 Definitely yes Like me A little like me Very much like me
## 5 <NA> Like me Not like me Very much like me
## 6 <NA> A little like me Not like me at all Like me
## ipshabt impsafe impdiff ipfrule
## 1 Somewhat like me Somewhat like me A little like me A little like me
## 2 Somewhat like me Somewhat like me Like me Not like me
## 3 Like me Like me Like me Like me
## 4 Like me Somewhat like me Like me Not like me
## 5 Like me Like me A little like me Like me
## 6 A little like me Like me Like me Very much like me
## ipudrst ipmodst ipgdtim impfree
## 1 Somewhat like me Somewhat like me Somewhat like me Like me
## 2 Like me Not like me Somewhat like me Like me
## 3 Like me Like me Like me Like me
## 4 Like me Like me Somewhat like me Somewhat like me
## 5 Like me Like me A little like me Very much like me
## 6 Like me Like me Not like me Like me
## iphlppl ipsuces ipstrgv ipadvnt
## 1 Like me Like me Like me Somewhat like me
## 2 Like me Like me Like me Like me
## 3 Like me Like me Like me Not like me
## 4 Like me Somewhat like me A little like me A little like me
## 5 Like me Somewhat like me Like me Not like me
## 6 Like me Somewhat like me Very much like me A little like me
## ipbhprp iprspot iplylfr
## 1 Like me Like me Like me
## 2 Like me Not like me Not like me
## 3 Somewhat like me Not like me at all Very much like me
## 4 A little like me Not like me Very much like me
## 5 Like me A little like me Like me
## 6 Very much like me Not like me Like me
## impenv imptrad impfun
## 1 Like me Like me Somewhat like me
## 2 Somewhat like me Like me Like me
## 3 Not like me at all A little like me Like me
## 4 Like me Like me Somewhat like me
## 5 Like me A little like me Like me
## 6 Very much like me Very much like me Not like me
## region regunit intewde inwdds inwmms inwyys inwshh
## 1 Prov. Oost-Vlaanderen NUTS level 2 <NA> 20 11 2010 13
## 2 Prov. Oost-Vlaanderen NUTS level 2 <NA> 7 11 2010 14
## 3 Prov. Oost-Vlaanderen NUTS level 2 <NA> 4 11 2010 14
## 4 Prov. Oost-Vlaanderen NUTS level 2 <NA> 29 10 2010 11
## 5 Prov. Oost-Vlaanderen NUTS level 2 <NA> 29 10 2010 13
## 6 Prov. Oost-Vlaanderen NUTS level 2 <NA> 10 12 2010 14
## inwsmm inwdde inwmme inwyye inwehh inwemm inwtm spltadmd
## 1 36 20 11 2010 14 2 26 FF C testd26-testd39
## 2 10 7 11 2010 15 54 104 FF A testd1-testd12
## 3 5 4 11 2010 14 46 41 FF A testd1-testd12
## 4 11 29 10 2010 12 7 56 FF B testd13-testd25
## 5 30 29 10 2010 14 48 78 FF C testd26-testd39
## 6 4 10 12 2010 14 52 48 FF B testd13-testd25
## supqad1 supqad2 supqdd supqmm supqyr dweight pspwght
## 1 <NA> Face to face interview 20 11 2010 1 0.7928646
## 2 <NA> Face to face interview 7 11 2010 1 0.8711070
## 3 <NA> Face to face interview 4 11 2010 1 0.7994527
## 4 <NA> Face to face interview 29 10 2010 1 0.8160296
## 5 <NA> Face to face interview 29 10 2010 1 0.7649024
## 6 <NA> Face to face interview 10 12 2010 1 0.7649024
## pweight
## 1 0.5286192
## 2 0.5286192
## 3 0.5286192
## 4 0.5286192
## 5 0.5286192
## 6 0.5286192names(ESS)## [1] "name" "essround" "edition" "proddate" "idno" "cntry"
## [7] "tvtot" "tvpol" "rdtot" "rdpol" "nwsptot" "nwsppol"
## [13] "netuse" "ppltrst" "pplfair" "pplhlp" "polintr" "trstprl"
## [19] "trstlgl" "trstplc" "trstplt" "trstprt" "trstep" "trstun"
## [25] "vote" "prtvtcbe" "prtvtbbg" "prtvtcch" "prtvthr" "prtvtcy"
## [31] "prtvtbcz" "prtvcde1" "prtvcde2" "prtvtbdk" "prtvtcee" "prtvtbes"
## [37] "prtvtbfi" "prtvtbfr" "prtvtgb" "prtvtcgr" "prtvtchu" "prtvtaie"
## [43] "prtvtbil" "prtvlt1" "prtvlt2" "prtvlt3" "prtvtdnl" "prtvtano"
## [49] "prtvtbpl" "prtvtbpt" "prtvtbru" "prtvtase" "prtvtcsi" "prtvtbsk"
## [55] "prtvtbua" "contplt" "wrkprty" "wrkorg" "badge" "sgnptit"
## [61] "pbldmn" "bctprd" "clsprty" "prtclcbe" "prtclbbg" "prtclcch"
## [67] "prtclcy" "prtclhr" "prtclbcz" "prtclcde" "prtclbdk" "prtclcee"
## [73] "prtclbes" "prtclbfi" "prtclcfr" "prtclgb" "prtclcgr" "prtclchu"
## [79] "prtclcie" "prtclbil" "prtcllt" "prtclcnl" "prtclano" "prtcldpl"
## [85] "prtclcpt" "prtclbru" "prtclase" "prtclcsi" "prtclbsk" "prtclcua"
## [91] "prtdgcl" "mmbprty" "prtmbcbe" "prtmbbbg" "prtmbcch" "prtmbhr"
## [97] "prtmbcy" "prtmbbcz" "prtmbcde" "prtmbbdk" "prtmbcee" "prtmbbes"
## [103] "prtmbbfi" "prtmbcfr" "prtmbgb" "prtmbcgr" "prtmbchu" "prtmbbie"
## [109] "prtmbbil" "prtmblt" "prtmbcnl" "prtmbano" "prtmbdpl" "prtmbbpt"
## [115] "prtmbbru" "prtmbase" "prtmbcsi" "prtmbbsk" "prtmbcua" "lrscale"
## [121] "stflife" "stfeco" "stfgov" "stfdem" "stfedu" "stfhlth"
## [127] "gincdif" "freehms" "prtyban" "scnsenv" "imsmetn" "imdfetn"
## [133] "impcntr" "imbgeco" "imueclt" "imwbcnt" "happy" "sclmeet"
## [139] "inmdisc" "sclact" "crmvct" "aesfdrk" "brghmwr" "brghmef"
## [145] "crvctwr" "crvctef" "health" "hlthhmp" "rlgblg" "rlgdnm"
## [151] "rlgdnbe" "rlgdnach" "rlgdncy" "rlgdnde" "rlgdndk" "rlgdnafi"
## [157] "rlgdngb" "rlgdnagr" "rlgdnhu" "rlgdnie" "rlgdnil" "rlgdnlt"
## [163] "rlgdnnl" "rlgdnno" "rlgdnapl" "rlgdnpt" "rlgdnaru" "rlgdnase"
## [169] "rlgdnsi" "rlgdnsk" "rlgdnua" "rlgblge" "rlgdnme" "rlgdebe"
## [175] "rlgdeach" "rlgdecy" "rlgdede" "rlgdedk" "rlgdeafi" "rlgdegb"
## [181] "rlgdeagr" "rlgdehu" "rlgdeie" "rlgdeil" "rlgdelt" "rlgdenl"
## [187] "rlgdeno" "rlgdeapl" "rlgdept" "rlgdearu" "rlgdease" "rlgdesi"
## [193] "rlgdesk" "rlgdeua" "rlgdgr" "rlgatnd" "pray" "dscrgrp"
## [199] "dscrrce" "dscrntn" "dscrrlg" "dscrlng" "dscretn" "dscrage"
## [205] "dscrgnd" "dscrsex" "dscrdsb" "dscroth" "dscrdk" "dscrref"
## [211] "dscrnap" "dscrna" "ctzcntr" "ctzshipb" "brncntr" "cntbrthb"
## [217] "livecnta" "lnghom1" "lnghom2" "blgetmg" "facntr" "fbrncnta"
## [223] "mocntr" "mbrncnta" "insclwr" "bystlwr" "trfowr" "insclct"
## [229] "bystlct" "trfoct" "plcjbcn" "plccont" "plcstf" "plcvcrp"
## [235] "plcvcrc" "plcpvcr" "plccbrg" "plcarcr" "plcrspc" "plcfrdc"
## [241] "plcexdc" "bplcdc" "doplcsy" "dpcstrb" "plcrgwr" "plcipvl"
## [247] "gsupplc" "plciplt" "plccbrb" "ctjbcnt" "ctmtgfr" "ctfrdc"
## [253] "wraccrp" "wraccrc" "jdgcbrb" "ctprpwr" "hrshsnta" "dbctvrd"
## [259] "lwstrob" "rgbrklw" "ctinplt" "stcbg2t" "tmprs" "caplcst"
## [265] "widprsn" "wevdct" "flsin5y" "bstln5y" "troff5y" "hhmmb"
## [271] "gndr" "gndr2" "gndr3" "gndr4" "gndr5" "gndr6"
## [277] "gndr7" "gndr8" "gndr9" "gndr10" "gndr11" "gndr12"
## [283] "gndr13" "gndr14" "yrbrn" "agea" "yrbrn2" "yrbrn3"
## [289] "yrbrn4" "yrbrn5" "yrbrn6" "yrbrn7" "yrbrn8" "yrbrn9"
## [295] "yrbrn10" "yrbrn11" "yrbrn12" "yrbrn13" "yrbrn14" "rshipa2"
## [301] "rshipa3" "rshipa4" "rshipa5" "rshipa6" "rshipa7" "rshipa8"
## [307] "rshipa9" "rshipa10" "rshipa11" "rshipa12" "rshipa13" "rshipa14"
## [313] "icpart1" "rshpsts" "lvgptnea" "dvrcdeva" "icpart2" "iccohbt"
## [319] "marsts" "marstie" "maritalb" "chldhm" "chldhhe" "fxltph"
## [325] "domicil" "edulvlb" "eisced" "edlvdbe" "edlvdbg" "edlvdch"
## [331] "edlvdhr" "edlvdcy" "edlvdcz" "edude1" "edude2" "edude3"
## [337] "edlvddk" "edlvdee" "edlvdes" "edlvdfi" "edlvdfr" "edugb1"
## [343] "edugb2" "edagegb" "edlvdgr" "edlvdhu" "edlvdie" "eduil1"
## [349] "eduil2" "edlvdlt" "edlvdnl" "edlvdno" "edlvdpl" "eduyrpl"
## [355] "edupl2" "edlvdpt" "edlvdru" "edlvdse" "edlvdsi" "edlvdsk"
## [361] "edlvdua" "eduyrs" "pdwrk" "edctn" "uempla" "uempli"
## [367] "dsbld" "rtrd" "cmsrv" "hswrk" "dngoth" "dngdk"
## [373] "dngref" "dngna" "mainact" "mnactic" "crpdwk" "pdjobev"
## [379] "pdjobyr" "emplrel" "emplno" "wrkctra" "jbtmppm" "estsz"
## [385] "jbspv" "njbspv" "wkdcorga" "iorgact" "wkdcpce" "wkhct"
## [391] "wkhtot" "nacer2" "tporgwk" "iscoco" "rsnlvem" "wrkac6m"
## [397] "uemp3m" "uemp12m" "uemp5yr" "mbtru" "hincsrca" "hinctnta"
## [403] "pphincr" "hincfel" "brwmny" "icpart3" "edulvlpb" "eiscedp"
## [409] "edlvpdbe" "edlvpdbg" "edlvpdch" "edlvpdhr" "edlvpdcy" "edlvpdcz"
## [415] "edupde1" "edupde2" "edupde3" "edlvpddk" "edlvpdee" "edlvpdes"
## [421] "edlvpdfi" "edlvpdfr" "edupgb1" "edupgb2" "edagepgb" "edlvpdgr"
## [427] "edlvpdhu" "edlvpdie" "edupil1" "edupil2" "edlvpdlt" "edlvpdnl"
## [433] "edlvpdno" "edlvpdpl" "eduyrppl" "eduppl2" "edlvpdpt" "edlvpdru"
## [439] "edlvpdse" "edlvpdsi" "edlvpdsk" "edlvpdua" "pdwrkp" "edctnp"
## [445] "uemplap" "uemplip" "dsbldp" "rtrdp" "cmsrvp" "hswrkp"
## [451] "dngothp" "dngdkp" "dngnapp" "dngrefp" "dngnap" "mnactp"
## [457] "crpdwkp" "iscocop" "emprelp" "emplnop" "jbspvp" "njbspvp"
## [463] "wkhtotp" "edulvlfb" "eiscedf" "edlvfdbe" "edlvfdbg" "edlvfdch"
## [469] "edlvfdhr" "edlvfdcy" "edlvfdcz" "edufde1" "edufde2" "edufde3"
## [475] "edlvfddk" "edlvfdee" "edlvfdes" "edlvfdfi" "edlvfdfr" "edufgb1"
## [481] "edufgb2" "edagefgb" "edlvfdgr" "edlvfdhu" "edlvfdie" "edufil1"
## [487] "edufil2" "edlvfdlt" "edlvfdnl" "edlvfdno" "edlvfdpl" "edlvfdpt"
## [493] "edlvfdru" "edlvfdse" "edlvfdsi" "edlvfdsk" "edlvfdua" "emprf14"
## [499] "emplnof" "jbspvf" "occf14b" "edulvlmb" "eiscedm" "edlvmdbe"
## [505] "edlvmdbg" "edlvmdch" "edlvmdhr" "edlvmdcy" "edlvmdcz" "edumde1"
## [511] "edumde2" "edumde3" "edlvmddk" "edlvmdee" "edlvmdes" "edlvmdfi"
## [517] "edlvmdfr" "edumgb1" "edumgb2" "edagemgb" "edlvmdgr" "edlvmdhu"
## [523] "edlvmdie" "edumil1" "edumil2" "edlvmdlt" "edlvmdnl" "edlvmdno"
## [529] "edlvmdpl" "edlvmdpt" "edlvmdru" "edlvmdse" "edlvmdsi" "edlvmdsk"
## [535] "edlvmdua" "emprm14" "emplnom" "jbspvm" "occm14b" "atncrse"
## [541] "edul12m" "useknwl" "edupdem" "gdsprt" "clmrlx" "actvgrs"
## [547] "wmcpwrk" "mnrgtjb" "gvprppv" "fltlnla" "mlohinc" "dsdclve"
## [553] "cuthheq" "yrspdwka" "icmnact" "jbtsktm" "yrskdwk" "wrkengt"
## [559] "wkovrtm" "wrkwe" "yrcremp" "emplrjb" "mnrsefw" "scrsefw"
## [565] "jbcoedu" "jbedyrs" "jblrn" "vrtywrk" "jbrqlrn" "wgdpeft"
## [571] "hlpcowk" "hlthrwk" "dcsfwrk" "jbscr" "lsintjb" "wrkhrd"
## [577] "nevdnjb" "oprtad" "bsmw" "ppwwkp" "bseftwk" "smblvjb"
## [583] "rpljbde" "wpmwkcp" "indisdc" "truinwk" "pdaprpa" "wrywprb"
## [589] "trdawrk" "jbprtfp" "icnopfma" "pfmfdjba" "frsptjb" "dfcnswka"
## [595] "stfmjob" "stfjbot" "wkjbndm" "grspaya" "payprda" "linwk3y"
## [601] "rdpay3y" "wkshr3y" "lscjb3y" "orgfd3y" "npemp3y" "icagu70a"
## [607] "ipjbini" "ipjbscr" "ipjbhin" "ipjbwfm" "ipjbtro" "pdjbndm"
## [613] "uemp3y" "wkhsch" "icptn" "pwkhsch" "puemp3y" "hwwkhs"
## [619] "phwwkhs" "dsgrmnya" "icptnwka" "wkengtp" "wkovtmp" "ptnwkwe"
## [625] "icmnart" "rtryr" "wntrtr" "icago45" "agertr" "plnchld"
## [631] "ipcrtiv" "imprich" "ipeqopt" "ipshabt" "impsafe" "impdiff"
## [637] "ipfrule" "ipudrst" "ipmodst" "ipgdtim" "impfree" "iphlppl"
## [643] "ipsuces" "ipstrgv" "ipadvnt" "ipbhprp" "iprspot" "iplylfr"
## [649] "impenv" "imptrad" "impfun" "region" "regunit" "intewde"
## [655] "inwdds" "inwmms" "inwyys" "inwshh" "inwsmm" "inwdde"
## [661] "inwmme" "inwyye" "inwehh" "inwemm" "inwtm" "spltadmd"
## [667] "supqad1" "supqad2" "supqdd" "supqmm" "supqyr" "dweight"
## [673] "pspwght" "pweight"library(dplyr)## Warning: As of rlang 0.4.0, dplyr must be at least version 0.8.0.
## x dplyr 0.7.6 is too old for rlang 0.4.2.
## i Please update dplyr to the latest version.
## i Updating packages on Windows requires precautions:
## <https://github.com/jennybc/what-they-forgot/issues/62>ESS1 <- select(ESS, c("eduyrs", "agea", "agertr", "gndr",
"cntry", "icmnact", "facntr", "mocntr",
"ipeqopt", "ipudrst", "impenv",
"ipfrule", "ipbhprp", "impfun"))dim(ESS1)## [1] 52458 14str(ESS1)## 'data.frame': 52458 obs. of 14 variables:
## $ eduyrs : Factor w/ 45 levels "0","1","2","3",..: 16 16 14 16 16 14 18 14 13 13 ...
## $ agea : Factor w/ 88 levels "14","15","16",..: 9 30 6 10 45 49 13 27 35 55 ...
## $ agertr : Factor w/ 77 levels "0","1","2","5",..: NA NA NA NA 45 45 NA NA 43 46 ...
## $ gndr : Factor w/ 2 levels "Male","Female": 1 1 2 2 2 2 1 1 1 1 ...
## $ cntry : Factor w/ 27 levels "Belgium","Bulgaria",..: 1 1 1 1 1 1 1 1 1 1 ...
## $ icmnact: Factor w/ 3 levels "In paid work",..: 3 1 3 1 3 2 1 1 1 2 ...
## $ facntr : Factor w/ 2 levels "Yes","No": 2 2 1 1 1 1 1 1 1 1 ...
## $ mocntr : Factor w/ 2 levels "Yes","No": 2 2 1 2 1 1 1 1 1 1 ...
## $ ipeqopt: Factor w/ 6 levels "Very much like me",..: 3 3 2 1 1 2 3 5 2 2 ...
## $ ipudrst: Factor w/ 6 levels "Very much like me",..: 3 2 2 2 2 2 3 5 3 2 ...
## $ impenv : Factor w/ 6 levels "Very much like me",..: 2 3 6 2 2 1 4 5 2 2 ...
## $ ipfrule: Factor w/ 6 levels "Very much like me",..: 4 5 2 5 2 1 5 5 3 4 ...
## $ ipbhprp: Factor w/ 6 levels "Very much like me",..: 2 2 3 4 2 1 4 5 5 2 ...
## $ impfun : Factor w/ 6 levels "Very much like me",..: 3 2 2 3 2 5 2 2 2 2 ...
## - attr(*, "variable.labels")= Named chr "Title of dataset" "ESS round" "Edition" "Production date" ...
## ..- attr(*, "names")= chr "name" "essround" "edition" "proddate" ...
## - attr(*, "codepage")= int 65001Why can’t we just use as.numeric()
class(ESS1$agea)## [1] "factor"table(ESS1$agea)##
## 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
## 1 306 572 651 765 675 700 774 708 718 710 746 727 686 734 771 789 880
## 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49
## 777 755 867 811 811 791 816 847 881 916 841 860 851 903 866 865 910 843
## 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67
## 909 909 876 857 898 887 896 827 856 912 867 948 943 806 844 758 778 708
## 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85
## 696 709 653 765 650 652 581 587 508 494 401 431 408 401 339 295 217 214
## 86 87 88 89 90 91 92 93 94 95 96 97 98 99 101 102
## 167 135 118 88 70 40 22 23 16 9 6 2 1 2 1 1ESS1$agea_n <- as.numeric(ESS1$agea)
table(ESS1$agea_n )##
## 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
## 1 306 572 651 765 675 700 774 708 718 710 746 727 686 734 771 789 880
## 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
## 777 755 867 811 811 791 816 847 881 916 841 860 851 903 866 865 910 843
## 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54
## 909 909 876 857 898 887 896 827 856 912 867 948 943 806 844 758 778 708
## 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72
## 696 709 653 765 650 652 581 587 508 494 401 431 408 401 339 295 217 214
## 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88
## 167 135 118 88 70 40 22 23 16 9 6 2 1 2 1 1So, we need to do as.character() first
ESS1$agea_n <- as.numeric(as.character(ESS1$agea))
table(ESS1$agea_n)##
## 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
## 1 306 572 651 765 675 700 774 708 718 710 746 727 686 734 771 789 880
## 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49
## 777 755 867 811 811 791 816 847 881 916 841 860 851 903 866 865 910 843
## 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67
## 909 909 876 857 898 887 896 827 856 912 867 948 943 806 844 758 778 708
## 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85
## 696 709 653 765 650 652 581 587 508 494 401 431 408 401 339 295 217 214
## 86 87 88 89 90 91 92 93 94 95 96 97 98 99 101 102
## 167 135 118 88 70 40 22 23 16 9 6 2 1 2 1 1class(ESS1$agea_n)## [1] "numeric"Why is that important to use as.character() before using as.numeric()
table(ESS1$eduyrs)##
## 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14
## 289 98 166 433 1166 388 1443 1137 2968 3041 3647 5403 9125 4593 3578
## 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29
## 3646 3427 2522 1953 958 898 286 239 115 99 103 19 15 13 6
## 30 31 32 33 34 35 36 37 40 42 43 45 47 50 55
## 21 1 1 4 2 3 2 1 12 1 1 3 1 1 1ESS1$eduyrs1 <- as.numeric(as.character(ESS1$eduyrs))
ESS1$eduyrs3 <- NULL
ESS1$eduyrs3[ESS1$eduyrs1 <= 10] <- "1 - basic"
ESS1$eduyrs3[ESS1$eduyrs1 > 10 & ESS1$eduyrs1 <= 16] <- "2 - undergrads"
ESS1$eduyrs3[ESS1$eduyrs1 > 16] <- "3 - grad"
summary(ESS1$eduyrs3)## Length Class Mode
## 52458 character characterhist(ESS1$eduyrs1)
barplot(table(ESS1$eduyrs3))
class(ESS1$ipeqopt) # should be numeric## [1] "factor"table(ESS1$ipeqopt)##
## Very much like me Like me Somewhat like me
## 17606 20502 8377
## A little like me Not like me Not like me at all
## 3207 1270 313ESS1$ipeqopt <- as.numeric(ESS1$ipeqopt)
ESS1$ipudrst <- as.numeric(ESS1$ipudrst)
ESS1$impenv <- as.numeric(ESS1$impenv)ESS1$Universalism <- (ESS1$ipeqopt + ESS1$ipudrst + ESS1$impenv)/3
summary(ESS1$Universalism)## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 1.000 1.667 2.000 2.197 2.667 6.000 1866hist(ESS1$Universalism)
levels(ESS1$facntr)## [1] "Yes" "No"levels(ESS1$mocntr)## [1] "Yes" "No"ESS1$mig2 <- ifelse(ESS1$mocntr=="No" | ESS1$facntr=="No",
1, 0)
summary(ESS1$mig2)## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.0000 0.0000 0.0000 0.1635 0.0000 1.0000 271ESS1$mig2 <- factor(ESS1$mig2, labels = c("No", "Yes"), ordered=F)summary(ESS1$impfun)## Very much like me Like me Somewhat like me
## 6303 13650 12619
## A little like me Not like me Not like me at all
## 9198 6570 2791
## NA's
## 1327ESS1$impfun3 <- recode(ESS1$impfun, "Very much like me" = 3,
"Like me" = 3, "Somewhat like me" = 2, "A little like me" = 2, "Not like me" = 1,
"Not like me at all" = 1)
summary(ESS1$impfun3)## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 1.000 2.000 2.000 2.207 3.000 3.000 1327barplot(table(ESS1$impfun3))
median(ESS1$agea_n)## [1] NAmedian(ESS1$agea_n, na.rm = T)## [1] 48mean(ESS1$agea_n)## [1] NAmean(ESS1$agea_n, na.rm = T)## [1] 48.50527Mode <- function(x) {
ux <- unique(x)
ux[which.max(tabulate(match(x, ux)))]
}Mode(ESS1$agea)## [1] 61
## 88 Levels: 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 ... 102Mode(ESS1$eduyrs3)## [1] "2 - undergrads"range(ESS1$agea_n)## [1] NA NAvar(ESS1$agea_n)## [1] NAvar(na.omit(ESS1$agea_n))## [1] 353.0394sd(ESS1$agea_n)## [1] NAsd(na.omit(ESS1$agea_n))## [1] 18.78934tapply(ESS1$agea_n, ESS1$gndr, mean, na.rm=TRUE)## Male Female
## 47.54179 49.30844tapply(ESS1$agea_n, ESS1$gndr, median, na.rm=TRUE)## Male Female
## 47 49How age and ideal age of retirement are related to each other?
What should we do?
We are selecting only those respondents who are currently working
unique(ESS1$icmnact)## [1] All others In paid work Retired <NA>
## Levels: In paid work Retired All otherssummary(ESS1$icmnact)## In paid work Retired All others NA's
## 24049 14055 14220 134ESS1sub <- subset(ESS1, subset=(icmnact=="In paid work"))class(ESS1sub$agertr)## [1] "factor"class(ESS1sub$agea)## [1] "factor"summary(ESS1sub$agertr)## 0 1 2 5 8 9 16 19 20 23 24 25
## 0 0 0 1 0 1 0 0 0 0 0 0
## 27 28 29 30 31 32 33 35 36 37 38 39
## 0 0 0 4 0 0 0 3 0 0 0 0
## 40 41 42 43 44 45 46 47 48 49 50 51
## 12 0 0 2 1 25 7 10 8 7 344 9
## 52 53 54 55 56 57 58 59 60 61 62 63
## 31 31 25 1337 99 121 333 35 3323 53 601 449
## 64 65 66 67 68 69 70 71 72 73 74 75
## 116 1426 40 208 37 8 281 1 4 2 0 48
## 76 77 78 80 81 82 84 85 86 87 88 90
## 2 1 3 42 0 1 1 10 0 1 2 9
## 96 99 100 102 120 NA's
## 1 5 9 0 1 14918summary(ESS1sub$agea)## 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28
## 0 1 11 18 53 107 143 231 260 329 376 429 429 471 502
## 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43
## 548 581 621 569 554 625 594 583 594 598 656 677 714 609 641
## 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58
## 646 686 672 659 690 655 644 627 635 580 587 589 566 477 464
## 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73
## 459 380 306 270 197 154 111 76 70 45 33 31 22 19 21
## 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88
## 14 14 10 8 7 10 4 4 5 2 1 1 2 0 1
## 89 90 91 92 93 94 95 96 97 98 99 101 102 NA's
## 0 0 0 0 0 0 0 0 0 0 0 0 0 71ESS1sub$agertr <- as.numeric(ESS1sub$agertr)
ESS1sub$agea <- as.numeric(ESS1sub$agea)
plot(ESS1sub$agea, ESS1sub$agertr, pch = 20)
Is average ideal age of retirement differs for males and females?
boxplot(ESS1sub$agertr ~ ESS1sub$gndr)
ipfrule, ipbhprp and impfun:
ipfrule - Important to do what is told and follow rulesipbhprp - Important to behave properlyimpfun - Important to seek fun and things that give pleasureipfrule and ipbhprp variables to:
