ChatGPT ESS
ChatGPT: A tutor for data analysis? · GESIS Blog · 5 June 2023
library(tidyverse)
library(ggeffects)
library(rcompanion)
library(broom)
library(lme4)
library(rsq)
library(brms)Read data
ess_data_raw <- haven::read_dta("ESS9e03_1.dta")
ess_data <- ess_data_rawess_data_raw <- haven::read_sav("ESS9e03_1.sav")
ess_data <- ess_data_rawnames(ess_data) [1] "name" "essround" "edition" "proddate" "idno" "cntry" "dweight" "pspwght" "pweight" "anweight"
[11] "prob" "stratum" "psu" "nwspol" "netusoft" "netustm" "ppltrst" "pplfair" "pplhlp" "polintr"
[21] "psppsgva" "actrolga" "psppipla" "cptppola" "trstprl" "trstlgl" "trstplc" "trstplt" "trstprt" "trstep"
[31] "trstun" "vote" "prtvtcat" "prtvtdbe" "prtvtdbg" "prtvtgch" "prtvtbcy" "prtvtecz" "prtvede1" "prtvede2"
[41] "prtvtddk" "prtvtgee" "prtvtees" "prtvtdfi" "prtvtdfr" "prtvtcgb" "prtvtahr" "prtvtfhu" "prtvtcie" "prtvtcis"
[51] "prtvtcit" "prtvblt1" "prtvblt2" "prtvblt3" "prtvtalv" "prtvtme" "prtvtgnl" "prtvtbno" "prtvtdpl" "prtvtcpt"
[61] "prtvtrs" "prtvtcse" "prtvtfsi" "prtvtdsk" "contplt" "wrkprty" "wrkorg" "badge" "sgnptit" "pbldmn"
[71] "bctprd" "pstplonl" "clsprty" "prtcldat" "prtcldbe" "prtcldbg" "prtclgch" "prtclbcy" "prtclecz" "prtclede"
[81] "prtclddk" "prtclgee" "prtclfes" "prtclefi" "prtclffr" "prtclcgb" "prtclahr" "prtclghu" "prtcleie" "prtclcis"
[91] "prtcldit" "prtclblt" "prtclalv" "prtclme" "prtclfnl" "prtclbno" "prtclhpl" "prtclept" "prtclrs" "prtclcse"
[101] "prtclfsi" "prtcldsk" "prtdgcl" "lrscale" "stflife" "stfeco" "stfgov" "stfdem" "stfedu" "stfhlth"
[111] "gincdif" "freehms" "hmsfmlsh" "hmsacld" "euftf" "imsmetn" "imdfetn" "impcntr" "imbgeco" "imueclt"
[121] "imwbcnt" "happy" "sclmeet" "inprdsc" "sclact" "crmvct" "aesfdrk" "health" "hlthhmp" "atchctr"
[131] "atcherp" "rlgblg" "rlgdnm" "rlgdnbat" "rlgdnbe" "rlgdnach" "rlgdncy" "rlgdnade" "rlgdnafi" "rlgdngb"
[141] "rlgdnhu" "rlgdnie" "rlgdnais" "rlgdnlt" "rlgdnlv" "rlgdme" "rlgdnnl" "rlgdnno" "rlgdnapl" "rlgdnrs"
[151] "rlgdnase" "rlgdnask" "rlgblge" "rlgdnme" "rlgdebat" "rlgdebe" "rlgdeach" "rlgdecy" "rlgdeade" "rlgdeafi"
[161] "rlgdegb" "rlgdehu" "rlgdeie" "rlgdeais" "rlgdelt" "rlgdelv" "rlgdeme" "rlgdenl" "rlgdeno" "rlgdeapl"
[171] "rlgders" "rlgdease" "rlgdeask" "rlgdgr" "rlgatnd" "pray" "dscrgrp" "dscrrce" "dscrntn" "dscrrlg"
[181] "dscrlng" "dscretn" "dscrage" "dscrgnd" "dscrsex" "dscrdsb" "dscroth" "dscrdk" "dscrref" "dscrnap"
[191] "dscrna" "ctzcntr" "ctzshipd" "brncntr" "cntbrthd" "livecnta" "lnghom1" "lnghom2" "blgetmg" "facntr"
[201] "fbrncntc" "mocntr" "mbrncntc" "admdw" "vteurmmb" "vteumbgb" "vteubcmb" "evpdemp" "pdempyr" "lvpntyr"
[211] "evlvptn" "lvptnyr" "evmar" "maryr" "bthcld" "nbthcld" "fcldbrn" "ycldbyr" "ngchld" "ygcdbyr"
[221] "ggchld" "admge" "ageadlt" "agemage" "ageoage" "iaglptn" "iagmr" "iagpnt" "iagrtr" "tygledu"
[231] "tyglvp" "tygmr" "tygpnt" "tygrtr" "tolvpnt" "tochld" "towkht" "anvcld" "alvgptn" "acldnmr"
[241] "aftjbyc" "advcyc" "plnftr" "hhmmb" "gndr" "gndr2" "gndr3" "gndr4" "gndr5" "gndr6"
[251] "gndr7" "gndr8" "gndr9" "gndr10" "gndr11" "gndr12" "gndr13" "gndr14" "gndr15" "yrbrn"
[261] "agea" "yrbrn2" "yrbrn3" "yrbrn4" "yrbrn5" "yrbrn6" "yrbrn7" "yrbrn8" "yrbrn9" "yrbrn10"
[271] "yrbrn11" "yrbrn12" "yrbrn13" "yrbrn14" "yrbrn15" "rshipa2" "rshipa3" "rshipa4" "rshipa5" "rshipa6"
[281] "rshipa7" "rshipa8" "rshipa9" "rshipa10" "rshipa11" "rshipa12" "rshipa13" "rshipa14" "rshipa15" "rshpsts"
[291] "rshpsgb" "lvgptnea" "dvrcdeva" "marsts" "marstgb" "maritalb" "chldhhe" "domicil" "eisced" "edulvlb"
[301] "edlveat" "edlvebe" "edlvebg" "edlvdch" "edlvgcy" "edlvdcz" "edubde1" "eduade2" "eduade3" "edlvddk"
[311] "edlvdee" "edlvges" "edlvdfi" "edlvdfr" "educgb1" "edubgb2" "edagegb" "edlvehr" "edlvdhu" "edlvdie"
[321] "edlvdis" "edlveit" "edlvdlt" "edlvdlv" "edlvdme" "edlvenl" "edlvdno" "edlvgpl" "edlvdpt" "edlvdrs"
[331] "edlvdse" "edlvesi" "edlvdsk" "eduyrs" "pdwrk" "edctn" "uempla" "uempli" "dsbld" "rtrd"
[341] "cmsrv" "hswrk" "dngoth" "dngref" "dngdk" "dngna" "mainact" "mnactic" "crpdwk" "pdjobev"
[351] "pdjobyr" "emplrel" "emplno" "wrkctra" "estsz" "jbspv" "njbspv" "wkdcorga" "iorgact" "wkhct"
[361] "icwhct" "wkhtot" "nacer2" "tporgwk" "isco08" "wrkac6m" "uemp3m" "uemp12m" "uemp5yr" "mbtru"
[371] "hincsrca" "hinctnta" "hincfel" "iincsrc" "eiscedp" "edulvlpb" "edlvpeat" "edlvpebe" "edlvpebg" "edlvpdch"
[381] "edlvpgcy" "edlvpdcz" "edupbde1" "edupade2" "edupade3" "edlvpddk" "edlvpdee" "edlvpfes" "edlvpdfi" "edlvpdfr"
[391] "edupcgb1" "edupbgb2" "edagepgb" "edlvpehr" "edlvpdhu" "edlvpdie" "edlvpdis" "edlvpeit" "edlvpdlt" "edlvpdlv"
[401] "edlvpdme" "edlvpenl" "edlvpdno" "edlvpfpl" "edlvpdpt" "edlvpdrs" "edlvpdse" "edlvpesi" "edlvpdsk" "pdwrkp"
[411] "edctnp" "uemplap" "uemplip" "dsbldp" "rtrdp" "cmsrvp" "hswrkp" "dngothp" "dngdkp" "dngnapp"
[421] "dngrefp" "dngnap" "mnactp" "crpdwkp" "isco08p" "emprelp" "wkhtotp" "eiscedf" "edulvlfb" "edlvfeat"
[431] "edlvfebe" "edlvfebg" "edlvfdch" "edlvfgcy" "edlvfdcz" "edufbde1" "edufade2" "edufade3" "edlvfddk" "edlvfdee"
[441] "edlvffes" "edlvfdfi" "edlvfdfr" "edufcgb1" "edufbgb2" "edagefgb" "edlvfehr" "edlvfdhu" "edlvfdie" "edlvfdis"
[451] "edlvfeit" "edlvfdlt" "edlvfdlv" "edlvfdme" "edlvfenl" "edlvfdno" "edlvffpl" "edlvfdpt" "edlvfdrs" "edlvfdse"
[461] "edlvfesi" "edlvfdsk" "emprf14" "occf14b" "eiscedm" "edulvlmb" "edlvmeat" "edlvmebe" "edlvmebg" "edlvmdch"
[471] "edlvmgcy" "edlvmdcz" "edumbde1" "edumade2" "edumade3" "edlvmddk" "edlvmdee" "edlvmfes" "edlvmdfi" "edlvmdfr"
[481] "edumcgb1" "edumbgb2" "edagemgb" "edlvmehr" "edlvmdhu" "edlvmdie" "edlvmdis" "edlvmeit" "edlvmdlt" "edlvmdlv"
[491] "edlvmdme" "edlvmenl" "edlvmdno" "edlvmfpl" "edlvmdpt" "edlvmdrs" "edlvmdse" "edlvmesi" "edlvmdsk" "emprm14"
[501] "occm14b" "atncrse" "anctry1" "anctry2" "region" "regunit" "frprtpl" "gvintcz" "poltran" "ifredu"
[511] "ifrjob" "evfredu" "evfrjob" "fvgabc" "infqbst" "grspnum" "grsplet" "netinum" "netilet" "grspfr"
[521] "netifr" "frlgrsp" "frlneti" "occinfr" "topinfr" "btminfr" "wltdffr" "recskil" "recexp" "recknow"
[531] "recimg" "recgndr" "sofrdst" "sofrwrk" "sofrpr" "sofrprv" "ppldsrv" "jstprev" "pcmpinj" "ipcrtiv"
[541] "imprich" "ipeqopt" "ipshabt" "impsafe" "impdiff" "ipfrule" "ipudrst" "ipmodst" "ipgdtim" "impfree"
[551] "iphlppl" "ipsuces" "ipstrgv" "ipadvnt" "ipbhprp" "iprspot" "iplylfr" "impenv" "imptrad" "impfun"
[561] "inwdds" "inwmms" "inwyys" "inwshh" "inwsmm" "inwdde" "inwmme" "inwyye" "inwehh" "inwemm"
[571] "inwtm" "domain" glimpse(ess_data)Rows: 49,519
Columns: 572
$ name <chr> "ESS9e03_1", "ESS9e03_1", "ESS9e03_1", "ESS9e03_1", "ESS9e03_1", "ESS9e03_1", "ESS9e03_1", "ESS9e03_1", …
$ essround <dbl> 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9,…
$ edition <chr> "3.1", "3.1", "3.1", "3.1", "3.1", "3.1", "3.1", "3.1", "3.1", "3.1", "3.1", "3.1", "3.1", "3.1", "3.1",…
$ proddate <chr> "17.02.2021", "17.02.2021", "17.02.2021", "17.02.2021", "17.02.2021", "17.02.2021", "17.02.2021", "17.02…
$ idno <dbl> 27, 137, 194, 208, 220, 254, 290, 301, 305, 400, 413, 438, 459, 472, 586, 592, 614, 651, 687, 703, 722, …
$ cntry <chr> "AT", "AT", "AT", "AT", "AT", "AT", "AT", "AT", "AT", "AT", "AT", "AT", "AT", "AT", "AT", "AT", "AT", "A…
$ dweight <dbl> 0.5811743, 1.0627724, 1.3765086, 0.9933993, 0.3773534, 1.4793528, 0.9917577, 0.3098590, 1.2303838, 0.458…
$ pspwght <dbl> 0.2181114, 0.4134733, 2.2702928, 0.3864834, 1.0321022, 0.5755447, 0.7206044, 0.1301128, 1.7707597, 0.742…
$ pweight <dbl> 0.3020914, 0.3020914, 0.3020914, 0.3020914, 0.3020914, 0.3020914, 0.3020914, 0.3020914, 0.3020914, 0.302…
$ anweight <dbl> 0.06588957, 0.12490673, 0.68583602, 0.11675333, 0.31178924, 0.17386711, 0.21768841, 0.03930597, 0.534931…
$ prob <dbl> 0.0011755485, 0.0006428456, 0.0004963272, 0.0006877382, 0.0018105009, 0.0004618227, 0.0006888765, 0.0022…
$ stratum <dbl> 59, 79, 11, 74, 99, 77, 36, 69, 9, 11, 82, 36, 1, 9, 42, 105, 69, 80, 69, 20, 20, 64, 30, 45, 11, 19, 21…
$ psu <dbl> 1688, 88, 938, 1998, 601, 68, 1139, 1914, 885, 918, 182, 1135, 2, 881, 1255, 754, 1906, 111, 1910, 113, …
$ nwspol <dbl+lbl> 60, 10, 60, 45, 30, 45, 60, 30, 30, 25, 120, 60, 90, 15, 60, 60, 10, 30, 30, 30, …
$ netusoft <dbl+lbl> 5, 5, 4, 5, 1, 2, 1, 1, 5, 4, 1, 5, 1, 4, 5, 5, 2, 4, 5, 5, 5, 5, 3, 5, 5, 5, 3, 3, 5, 5, 5, 1, 5, 5…
$ netustm <dbl+lbl> 180, 20, 180, 120, NA(a), NA(a), NA(a), NA(a), 120, 360, NA(a), NA(d), NA(a), 45, …
$ ppltrst <dbl+lbl> 2, 7, 5, 3, 5, 8, 6, 7, 2, 7, 10, 8, 5, 4, 7, 7, 5, 5, 10, 7, 0, 5, 6, 7, 6, …
$ pplfair <dbl+lbl> 2, 8, 7, 9, 8, 7, 1, 7, 9, 4, 9, 8, 7, 2, 8, 7, 7, 7, 10, 6, 8, 8, 7, 7, 5, …
$ pplhlp <dbl+lbl> 2, 7, 7, 5, 4, 6, 3, 7, 9, 4, 10, 6, 4, 3, 7, 7, 6, 5, 10, 3, 5, 7, 6, 7, 4, …
$ polintr <dbl+lbl> 3, 2, 4, 3, 2, 2, 4, 3, 3, 4, 2, 2, 1, 4, 2, 1, 2, 3, 2, 3, 2, 2, 3, 3, 1, 3, 3, 2, 2, 2, 3, 3, 4, 2…
$ psppsgva <dbl+lbl> 3, 3, 2, 2, 1, 2, 2, 1, 1, 2, 5, 3, 4, 1, 3, 3, 4, 3, 1, 1, 5, 2, 3, 2, 2, 2, 3, 3, 2, 3, 3, 3, 1, 3…
$ actrolga <dbl+lbl> 2, 2, 1, 2, 1, 2, 2, 1, 1, 2, 5, 3, 3, 1, …
$ psppipla <dbl+lbl> 2, 3, 3, 3, 1, 3, 3, 1, 1, 2, 5, 3, 3, 1, 3, 3, 3, 3, 1, 1, 4, 2, 2, 3, 2, 3, 2, 3, 2, 3, 3, 2, 1, 3…
$ cptppola <dbl+lbl> 2, 2, 2, 1, 3, 2, 2, 2, 4, 1, 5, 4, 3, 5, 3, 5, 3, 2, 2, 2, 3, 2, 1, 4, 5, 2, 3, 5, 1, 4, 3, 2, 1, 2…
$ trstprl <dbl+lbl> 5, 7, 6, 0, 7, 6, 0, 5, 1, 3, 6, 7, 6, 4, …
$ trstlgl <dbl+lbl> 10, 8, 8, 5, 8, 5, 5, 7, 10, 5, 10, 8, 3, 10, 9, 7, 7, 4, 9, 9, 8, 6, 6, 5, 6, …
$ trstplc <dbl+lbl> 10, 8, 8, 8, 8, 7, 5, 7, 10, 5, 10, 6, 8, 10, 10, 7, 6, 8, 10, 9, 10, 7, 9, 5, 9, …
$ trstplt <dbl+lbl> 5, 3, 5, 3, 7, 5, 0, 3, 1, 4, 10, 5, 3, 1, 8, 3, 6, 3, 4, 1, 8, 4, 6, 5, 5, …
$ trstprt <dbl+lbl> 5, 4, 5, 3, 7, 5, 0, 3, 1, 4, 10, 5, 0, 4, 8, 2, 8, 3, 4, 1, 8, 4, 3, 5, 5, …
$ trstep <dbl+lbl> 5, 5, 5, 0, 5, 4, 3, 1, 1, 4, 10, 9, 0, 6, …
$ trstun <dbl+lbl> 5, 2, 5, 2, 5, 6, 0, 5, 1, 5, 10, 8, 8, 10, …
$ vote <dbl+lbl> 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1…
$ prtvtcat <dbl+lbl> 3, 1, 2, 2, 2, 1, NA(a), NA(b), NA(a), 3, 1, 5, 1, 3, …
$ prtvtdbe <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvtdbg <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvtgch <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvtbcy <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvtecz <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvede1 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvede2 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvtddk <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvtgee <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvtees <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvtdfi <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvtdfr <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvtcgb <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvtahr <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvtfhu <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvtcie <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvtcis <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvtcit <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvblt1 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvblt2 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvblt3 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvtalv <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvtme <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvtgnl <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvtbno <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvtdpl <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvtcpt <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvtrs <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvtcse <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvtfsi <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtvtdsk <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ contplt <dbl+lbl> 2, 2, 2, 1, 2, 2, 1, 2, 2, 2, 2, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 1…
$ wrkprty <dbl+lbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2…
$ wrkorg <dbl+lbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2…
$ badge <dbl+lbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2…
$ sgnptit <dbl+lbl> 1, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 1, 1, 2, 2, 1, 1, 2, 1, 2, 2, 2, 1, 2, 1, 2, 1, 2, 2, 2, 2, 2, 2, 1…
$ pbldmn <dbl+lbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2…
$ bctprd <dbl+lbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 1, 1, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2…
$ pstplonl <dbl+lbl> 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 1…
$ clsprty <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2, 1, 2, 2, 2, 2, 1, 2, 2, 2, 2, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2, 1, 1, 2…
$ prtcldat <dbl+lbl> 3, 1, 2, 2, 2, 1, 1, NA(a), NA(a), 3, NA(a), 5, NA(a), NA(a), NA…
$ prtcldbe <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtcldbg <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtclgch <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtclbcy <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtclecz <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtclede <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtclddk <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtclgee <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtclfes <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtclefi <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtclffr <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtclcgb <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtclahr <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtclghu <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtcleie <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtclcis <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtcldit <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtclblt <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtclalv <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtclme <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtclfnl <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtclbno <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtclhpl <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtclept <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtclrs <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtclcse <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtclfsi <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtcldsk <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ prtdgcl <dbl+lbl> 2, 2, 2, 2, 2, 2, 1, NA(a), NA(a), 2, NA(a), 3, NA(a), NA(a), NA…
$ lrscale <dbl+lbl> 9, 5, 5, NA(b), 5, 3, 3, 7, 4, 5, 2, 3, 5, 5, …
$ stflife <dbl+lbl> 8, 8, 9, 8, 8, 9, 10, 6, 10, 9, 10, 8, 10, 10, 9, 6, 9, 9, 10, 7, 10, 7, 3, 8, 7, …
$ stfeco <dbl+lbl> 8, 8, 5, 6, 7, 9, 1, 7, 8, 7, 10, 5, 6, 9, …
$ stfgov <dbl+lbl> 8, 7, 6, 8, 7, 6, 3, 7, 5, 7, 10, 2, 8, 8, …
$ stfdem <dbl+lbl> 8, 8, 6, 6, 7, 7, 3, 3, 4, 7, 10, 7, 3, 7, 9, 3, 9, 8, 10, 6, 10, 8, 7, 7, 3, …
$ stfedu <dbl+lbl> 6, 7, 9, 7, 7, 6, 9, 5, 8, 8, 9, 4, 5, 10, 9, 6, 7, 7, 10, 9, 8, 5, 9, 7, 5, …
$ stfhlth <dbl+lbl> 4, 8, 9, 8, 10, 7, 1, 5, 8, 9, 10, 6, 8, 9, 9, 8, 9, 8, 3, 9, 10, 8, 9, 8, 8, …
$ gincdif <dbl+lbl> 1, 2, 2, 2, 2, 2, 1, 2, 1, 2, 2, 2, 3, 1, 1, 1, 1, 2, 2, 3, 2, 3, 2, 2, 2, 4, 3, 2, 2, 3, 3, 1, 5, 2…
$ freehms <dbl+lbl> 1, 3, 3, 1, 2, 3, 2, 4, 1, 2, 1, 1, 3, 1, 2, 1, 2, 2, 1, 1, 2, 1, 2, 2, 2, 1, 2, 3, 1, 2, 4, 4, 1, 3…
$ hmsfmlsh <dbl+lbl> 5, 3, 4, 5, 2, 4, 4, 3, 5, 2, 5, 5, 3, 4, …
$ hmsacld <dbl+lbl> 1, 4, 3, 1, 4, 3, 1, 5, 1, 2, 1, 2, 2, 5, …
$ euftf <dbl+lbl> 10, 5, 4, 2, 0, 3, 4, 0, 3, 4, 10, 8, 2, 5, …
$ imsmetn <dbl+lbl> 2, 2, 2, 2, 3, 2, 1, 2, 4, 2, 1, 2, 2, 4, …
$ imdfetn <dbl+lbl> 2, 3, 2, 3, 3, 2, 2, 3, 4, 2, 1, 2, 2, 4, …
$ impcntr <dbl+lbl> 2, 3, 3, 3, 3, 2, 2, 4, 4, 2, 1, 2, 2, 4, …
$ imbgeco <dbl+lbl> 5, 5, 6, 3, 5, 6, 6, 2, 0, 7, 10, 6, 3, 0, …
$ imueclt <dbl+lbl> 6, 4, 6, 7, 3, 7, 4, 2, 0, 7, 10, 8, 3, 5, 5, 8, 3, 2, 3, 5, 7, 4, 2, 5, 7, …
$ imwbcnt <dbl+lbl> 0, 5, 5, 5, 5, 5, 5, 2, 0, 5, 10, 5, 4, 3, …
$ happy <dbl+lbl> 7, 8, 9, 8, 8, 9, 8, 5, 10, 9, 10, 8, 10, 9, 8, 5, 9, 10, 10, 6, 10, 9, 4, 9, 8, …
$ sclmeet <dbl+lbl> 6, 6, 6, 6, 5, 6, 6, 6, 4, 6, 4, 6, 5, 3, 6, 6, 6, 4, 6, 4, 5, 4, 3, 4, 5, 7, 6, 4, 7, 5, 7, 4, 4, 6…
$ inprdsc <dbl+lbl> 3, 3, 3, 3, 4, 4, 1, 3, 1, 2, 3, 4, 1, 4, 2, 3, 1, 4, 5, 2, 1, 2, 1, 4, 4, 4, 4, 4, 4, 5, 6, 2, 5, 1…
$ sclact <dbl+lbl> 3, 3, 3, 3, 3, 3, 5, 3, 3, 3, 3, 3, 3, 2, 3, 3, 4, 3, 3, 2, 3, 4, 2, 3, 3, 3, 4, 3, 5, 3, 4, 3, 5, 4…
$ crmvct <dbl+lbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2…
$ aesfdrk <dbl+lbl> 1, 2, 2, 1, 2, 1, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 1, 2, 1, 2, 2, 2, 2, 3, 3, 1, 2…
$ health <dbl+lbl> 2, 2, 1, 2, 4, 1, 4, 4, 1, 1, 2, 2, 3, 1, 1, 2, 2, 1, 1, 2, 2, 2, 4, 1, 3, 1, 3, 3, 2, 2, 1, 2, 2, 1…
$ hlthhmp <dbl+lbl> 3, 3, 3, 3, 1, 3, 1, 1, 3, 3, 3, 2, 3, 3, 3, 2, 2, 3, 3, 3, 2, 3, 2, 3, 2, 3, 2, 2, 3, 3, 3, 3, 3, 3…
$ atchctr <dbl+lbl> 10, 9, 10, 10, 10, 8, 5, 10, 8, 8, 10, 5, 10, 10, 9, 7, 10, 10, 10, 10, 10, 10, 7, 8, 10, …
$ atcherp <dbl+lbl> 6, 6, 5, 3, 5, 7, 5, 1, 6, 5, 10, 7, 4, 3, 6, 9, 6, 8, 6, 7, 10, 7, 7, 5, 6, …
$ rlgblg <dbl+lbl> 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 2, 1, 1, 1, 1, 2, 2, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 1, 2…
$ rlgdnm <dbl+lbl> 1, 1, 1, NA(a), 1, 1, 1, 1, 1, 1, NA(a), NA(a), 1, 1, …
$ rlgdnbat <dbl+lbl> 1, 1, 1, NA(a), 1, 1, 1, 1, 1, 1, NA(a), NA(a), 1, 1, …
$ rlgdnbe <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdnach <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdncy <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdnade <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdnafi <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdngb <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdnhu <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdnie <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdnais <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdnlt <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdnlv <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdme <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdnnl <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdnno <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdnapl <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdnrs <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdnase <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdnask <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgblge <dbl+lbl> NA(a), NA(a), NA(a), 1, NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), 1, 1, NA(a), NA(a), NA…
$ rlgdnme <dbl+lbl> NA(a), NA(a), NA(a), 2, NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), 1, 1, NA(a), NA(a), NA…
$ rlgdebat <dbl+lbl> NA(a), NA(a), NA(a), 5, NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), 1, 1, NA(a), NA(a), NA…
$ rlgdebe <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdeach <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdecy <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdeade <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdeafi <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdegb <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdehu <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdeie <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdeais <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdelt <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdelv <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdeme <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdenl <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdeno <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdeapl <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgders <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdease <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdeask <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rlgdgr <dbl+lbl> 0, 5, 4, 1, 8, 6, 8, 3, 6, 2, 0, 8, 5, 3, …
$ rlgatnd <dbl+lbl> 7, 7, 4, 6, 3, 5, 6, 6, 6, 5, 7, 6, 6, 5, 5, 5, 5, 6, 7, 5, 6, 6, 6, 5, 4, 7, 7, 5, 7, 6, 1, 4, 7, 6…
$ pray <dbl+lbl> 7, 6, 6, 6, 1, 4, 1, 1, 7, 6, 7, 3, 7, NA(b), …
$ dscrgrp <dbl+lbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, …
$ dscrrce <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ dscrntn <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0…
$ dscrrlg <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0…
$ dscrlng <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0…
$ dscretn <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ dscrage <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ dscrgnd <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ dscrsex <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ dscrdsb <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ dscroth <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ dscrdk <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ dscrref <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ dscrnap <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1…
$ dscrna <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ ctzcntr <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1…
$ ctzshipd <chr> "6666", "6666", "6666", "6666", "6666", "6666", "6666", "6666", "6666", "6666", "6666", "6666", "6666", …
$ brncntr <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2, 1, 1, 1…
$ cntbrthd <chr> "6666", "6666", "6666", "6666", "6666", "6666", "6666", "6666", "6666", "6666", "6666", "6666", "6666", …
$ livecnta <dbl+lbl> NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA…
$ lnghom1 <chr> "GER", "GER", "GER", "GER", "GER", "GER", "GER", "GER", "GER", "GER", "GER", "GER", "GER", "GER", "GER",…
$ lnghom2 <chr> "000", "000", "000", "ENG", "000", "000", "000", "000", "000", "888", "000", "000", "000", "ENG", "000",…
$ blgetmg <dbl+lbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, …
$ facntr <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2, 1, 1, 1…
$ fbrncntc <chr> "6666", "6666", "6666", "6666", "6666", "6666", "6666", "SI", "6666", "6666", "6666", "6666", "6666", "6…
$ mocntr <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 2, 1, 2, 1, 1, 1, 1, 2, 1, 2, 1, 2, 1, 1, 1…
$ mbrncntc <chr> "6666", "6666", "6666", "6666", "6666", "6666", "6666", "6666", "6666", "6666", "6666", "6666", "6666", …
$ admdw <dbl+lbl> 2, 3, 3, 2, 3, 1, 2, 1, 3, 1, 1, 1, 1, 1, 3, 2, 2, 3, 3, 3, 1, 2, 2, 2, 3, 1, 3, 1, 1, 1, 2, 1, 2, 2…
$ vteurmmb <dbl+lbl> 1, 1, 2, 1, 1, 1, 1, 2, 2, 55, 1, 1, 1, 33, …
$ vteumbgb <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ vteubcmb <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ evpdemp <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
$ pdempyr <dbl+lbl> 1990, 1966, 1992, 1969, 1963, 1970, 1978, 1962, 1996, 2014, 1985, 1978, 1956, 1993, 1971, 2009, 1976…
$ lvpntyr <dbl+lbl> 1996, 1971, 1998, 1970, 1966, 1978, 1983, 1965, 2011, 2015, 1989, 1978, 1960, 2000, 1…
$ evlvptn <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 2, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1…
$ lvptnyr <dbl+lbl> 1996, 1971, 1998, 1978, 1966, 1977, 1983, 1963, 2010, 2015, NA(a), 1979, 1962, 1999, 1…
$ evmar <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 1, 2, 2, 2, 2, 2, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1…
$ maryr <dbl+lbl> 2001, 1979, 2000, 1978, 1966, 1977, 1983, 1963, 2013, NA(a), 1990, 1984, 1963, 2000, 1…
$ bthcld <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 1, 2, 2, 2, 2, 2, 2, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1…
$ nbthcld <dbl+lbl> 2, 3, 1, 1, 3, 3, 2, 3, 1, NA(a), 1, 2, 1, 2, …
$ fcldbrn <dbl+lbl> 2001, 1977, 2000, 1985, 1966, 1976, 1983, 1964, 2015, NA(a), 1991, 1985, 1963, 2001, 1…
$ ycldbyr <dbl+lbl> 2003, 1983, NA(a), NA(a), 1969, 1983, 1985, 1967, NA(a), NA(a), NA(a), 1989, NA(a), 2006, NA…
$ ngchld <dbl+lbl> 0, 4, 0, 1, 6, 5, 4, 3, NA(a), NA(a), 1, 2, 0, 0, …
$ ygcdbyr <dbl+lbl> NA(a), 2004, NA(a), 2009, 1991, 2002, 2003, 1990, NA(a), NA(a), 2017, 2015, NA(a), NA(a), NA…
$ ggchld <dbl+lbl> NA(a), NA(a), NA(a), NA(a), 1, 2, NA(a), 1, NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA…
$ admge <dbl+lbl> 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 2, 2, 2, 1, 2, 2, 1, 1, 2, 1, 2, 2, 2, 2, 1, 2, 1, 2…
$ ageadlt <dbl+lbl> 22, 20, 20, 25, 18, 19, 19, 20, 18, 20, 0, 18, 18, 20, 19, 23, 19, 25, 0, 20, 18, 0, 20, 0, 21, …
$ agemage <dbl+lbl> 40, 40, 40, 40, 45, 45, 50, 45, 25, 45, 0, 35, 40, 50, 45, 36, 25, 40, 0, 40, 50, 40, 30, 45, 45, …
$ ageoage <dbl+lbl> 75, 80, 70, 0, 70, 75, 85, 70, 70, 80, 0, 70, 80, 90, 65, 60, 60, 80, 90, 70, 80, 70, 55, 70, 80, …
$ iaglptn <dbl+lbl> 0, 20, 0, 23, 0, 25, 0, 25, 20, 20, 0, 0, 25, 23, …
$ iagmr <dbl+lbl> 18, 25, 0, 0, 0, 30, 0, 30, 25, 0, 0, 0, 25, 25, …
$ iagpnt <dbl+lbl> 15, 25, 0, 25, 0, 30, 20, 30, 24, 0, 0, 0, 25, 25, …
$ iagrtr <dbl+lbl> 111, 60, 0, NA(b), 60, 60, 60, 60, 55, 60, 0, 0, 55, 60, …
$ tygledu <dbl+lbl> 15, 15, 15, 13, 15, 16, 15, 15, 0, 15, 16, 18, 30, 14, 15, 16, 0, 0, 0, 16, 15, 17, 14, 15, 25, …
$ tyglvp <dbl+lbl> 0, 18, 16, 17, 15, 18, 15, 22, 16, 16, 20, 18, 17, 16, …
$ tygmr <dbl+lbl> 20, 20, 16, 18, 20, 22, 15, 18, 18, 18, 20, 18, NA(b), 16, …
$ tygpnt <dbl+lbl> 15, 20, 16, 17, 16, 20, 15, 25, 16, 16, 20, 18, 18, 15, 20, 18, 19, 18, 16, 18, 18, 22, 18, 18, 22, …
$ tygrtr <dbl+lbl> 111, 55, 0, 45, 20, 60, NA(b), 40, 40, 50, 0, NA(b), NA(a), 50, …
$ tolvpnt <dbl+lbl> 30, 30, 0, 30, 25, 30, NA(b), 25, 30, 35, 30, NA(b), 35, 35, …
$ tochld <dbl+lbl> 45, 45, 55, 65, 40, 50, 50, 50, 45, 46, 45, 60, 0, 40, …
$ towkht <dbl+lbl> 0, 60, 57, NA(b), 60, 65, NA(b), 60, 60, 60, 60, NA(b), NA(b), 61, …
$ anvcld <dbl+lbl> 4, 4, 3, 3, 2, 2, 2, 3, 1, 3, 5, 4, 3, 3, …
$ alvgptn <dbl+lbl> 4, 4, 3, 4, 2, 2, 3, 4, 4, 3, 5, 4, 5, 3, …
$ acldnmr <dbl+lbl> 4, 4, 3, 4, 2, 2, 3, 4, 5, 3, 5, 4, 5, 3, 5, 3, 4, 4, 3, 2, 4, 4, 4, 4, 5, 5, 4, 4, 2, 3, 1, 3, 5, 4…
$ aftjbyc <dbl+lbl> 4, 2, 3, 3, 2, 4, 2, 2, 3, 2, 5, 3, 2, 3, 3, 3, 4, 4, 2, 2, 4, 4, 3, 4, 5, 4, 3, 5, 2, 3, 1, 3, 5, 4…
$ advcyc <dbl+lbl> 4, 2, 3, 4, 2, 2, 2, 3, 3, 3, 5, 4, 2, 3, …
$ plnftr <dbl+lbl> 2, 4, 2, 1, 7, 3, 4, 6, 3, 3, 10, 6, 8, 2, 5, 7, 5, 3, 4, 7, 0, 3, 8, 2, 2, …
$ hhmmb <dbl+lbl> 1, 2, 3, 3, 1, 2, 2, 1, 3, 1, 1, 2, 2, 3, 1, 1, 2, 2, 4, 1, 1, 1, 1, 2, 2, 2, 1, 2, 1, 3, 4, 2, 2, 3…
$ gndr <dbl+lbl> 1, 1, 2, 1, 2, 1, 1, 2, 1, 2, 1, 2, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1…
$ gndr2 <dbl+lbl> NA(a), 2, 1, 2, NA(a), 2, 1, NA(a), 2, NA(a), NA(a), 1, 2, 1, NA…
$ gndr3 <dbl+lbl> NA(a), NA(a), 2, 1, NA(a), NA(a), NA(a), NA(a), 2, NA(a), NA(a), NA(a), NA(a), 2, NA…
$ gndr4 <dbl+lbl> NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA…
$ gndr5 <dbl+lbl> NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA…
$ gndr6 <dbl+lbl> NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA…
$ gndr7 <dbl+lbl> NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA…
$ gndr8 <dbl+lbl> NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA…
$ gndr9 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ gndr10 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ gndr11 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ gndr12 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ gndr13 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ gndr14 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ gndr15 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ yrbrn <dbl+lbl> 1975, 1951, 1978, 1955, 1947, 1954, 1962, 1944, 1981, 1996, 1970, 1959, 1941, 1977, 1956, 1991, 1959…
$ agea <dbl+lbl> 43, 67, 40, 63, 71, 64, 56, 74, 37, 22, 48, 59, 77, 41, 62, 27, 59, 60, 49, 42, 59, 50, 43, 30, 59, …
$ yrbrn2 <dbl+lbl> NA(a), 1954, 1973, 1959, NA(a), 1958, 1965, NA(a), 1986, NA(a), NA(a), 1954, 1940, 2001, NA…
$ yrbrn3 <dbl+lbl> NA(a), NA(a), 2001, 2009, NA(a), NA(a), NA(a), NA(a), 2015, NA(a), NA(a), NA(a), NA(a), 2006, NA…
$ yrbrn4 <dbl+lbl> NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA…
$ yrbrn5 <dbl+lbl> NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA…
$ yrbrn6 <dbl+lbl> NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA…
$ yrbrn7 <dbl+lbl> NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA…
$ yrbrn8 <dbl+lbl> NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA…
$ yrbrn9 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ yrbrn10 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ yrbrn11 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ yrbrn12 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ yrbrn13 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ yrbrn14 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ yrbrn15 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rshipa2 <dbl+lbl> NA(a), 1, 1, 1, NA(a), 1, 1, NA(a), 1, NA(a), NA(a), 1, 1, 2, NA…
$ rshipa3 <dbl+lbl> NA(a), NA(a), 2, 2, NA(a), NA(a), NA(a), NA(a), 2, NA(a), NA(a), NA(a), NA(a), 2, NA…
$ rshipa4 <dbl+lbl> NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA…
$ rshipa5 <dbl+lbl> NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA…
$ rshipa6 <dbl+lbl> NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA…
$ rshipa7 <dbl+lbl> NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA…
$ rshipa8 <dbl+lbl> NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA…
$ rshipa9 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rshipa10 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rshipa11 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rshipa12 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rshipa13 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rshipa14 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rshipa15 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ rshpsts <dbl+lbl> NA(a), 1, 1, 1, NA(a), 1, 1, NA(a), 1, NA(a), NA(a), 1, 1, NA(a), NA…
$ rshpsgb <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ lvgptnea <dbl+lbl> 1, 1, 2, 2, 2, 2, 1, 2, 1, 1, 1, 1, 2, 1, …
$ dvrcdeva <dbl+lbl> 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 1, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 1, 2, 2, 2, 2, 2…
$ marsts <dbl+lbl> 4, NA(a), NA(a), NA(a), 5, NA(a), NA(a), 5, NA(a), 6, 4, NA(a), NA(a), 4, …
$ marstgb <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ maritalb <dbl+lbl> 4, 1, 1, 1, 5, 1, 1, 5, 1, 6, 4, 1, 1, 4, 4, 6, 1, 5, 6, 6, 6, 6, 6, 1, 1, 6, 4, 1, 4, 1, 1, 1, 6, 1…
$ chldhhe <dbl+lbl> 2, 1, NA(a), NA(a), 1, 1, 1, 1, NA(a), 2, 1, 1, 1, NA(a), …
$ domicil <dbl+lbl> 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 1, 4, 4, 1, 4, 4, 3, 1, 1, 1, 4, 3, 3, 4, 1, 3, 1, 1, 1, 4, 4, 4…
$ eisced <dbl+lbl> 3, 3, 2, 3, 2, 3, 3, 3, 3, 3, 3, 4, 3, 3, 3, 4, 3, 3, 3, 6, 4, 2, 5, 3, 3, 3, 7, 5, 5, 7, 3, 3, 3, 5…
$ edulvlb <dbl+lbl> 322, 322, 213, 322, 212, 322, 322, 322, 322, 322, 322, 313, 322, 322, 322, 313, 322, 322, 322, 620, …
$ edlveat <dbl+lbl> 6, 6, 5, 6, 3, 6, 6, 7, 6, 7, 6, 8, 6, 6, 6, 8, 7, 6, 6, 14, 8, 3, 10, 7, 6, …
$ edlvebe <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvebg <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvdch <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvgcy <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvdcz <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edubde1 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ eduade2 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ eduade3 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvddk <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvdee <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvges <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvdfi <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvdfr <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ educgb1 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edubgb2 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edagegb <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvehr <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvdhu <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvdie <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvdis <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlveit <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvdlt <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvdlv <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvdme <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvenl <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvdno <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvgpl <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvdpt <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvdrs <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvdse <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvesi <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvdsk <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ eduyrs <dbl+lbl> 12, 12, 12, 11, 8, 13, 12, 11, 12, 12, 12, 12, 12, 13, 12, 21, 11, 9, 18, 17, 12, 9, 13, 11, 15, …
$ pdwrk <dbl+lbl> 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1…
$ edctn <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ uempla <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0…
$ uempli <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ dsbld <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ rtrd <dbl+lbl> 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0…
$ cmsrv <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ hswrk <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0…
$ dngoth <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ dngref <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ dngdk <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ dngna <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ mainact <dbl+lbl> NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), 6, NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA…
$ mnactic <dbl+lbl> 1, 6, 1, 1, 6, 6, 1, 6, 1, 4, 1, 6, 6, 1, 6, 2, 6, 6, 1, 1, 6, 1, 5, 1, 6, 1, 1, 6, 3, 1, 1, 6, 1, 1…
$ crpdwk <dbl+lbl> NA(a), 2, NA(a), NA(a), 2, 2, NA(a), 2, NA(a), 2, NA(a), 2, 2, NA(a), …
$ pdjobev <dbl+lbl> NA(a), 1, NA(a), NA(a), 1, 1, NA(a), 1, NA(a), 1, NA(a), 1, 1, NA(a), …
$ pdjobyr <dbl+lbl> NA(a), 2011, NA(a), NA(a), 2007, 2016, NA(a), 2004, NA(a), 2018, NA(a), 2013, 1995, NA(a), 2…
$ emplrel <dbl+lbl> 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1…
$ emplno <dbl+lbl> NA(a), NA(a), NA(a), 0, 4, NA(a), NA(a), 0, NA(a), NA(a), NA(a), 0, NA(a), NA(a), NA…
$ wrkctra <dbl+lbl> 1, 1, 1, NA(a), NA(a), 1, 1, NA(a), 1, 3, 1, NA(a), 1, 1, …
$ estsz <dbl+lbl> 1, 1, 1, NA(b), 1, 2, 1, 1, 2, 1, 2, 1, 5, 3, …
$ jbspv <dbl+lbl> 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 1, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 1, 1, 2, 2, 2, 1…
$ njbspv <dbl+lbl> NA(a), NA(a), NA(a), NA(a), 4, NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), 12, NA(a), NA…
$ wkdcorga <dbl+lbl> 5, 7, 7, 3, 8, 6, 7, 10, 7, 7, 0, 10, 8, 4, 7, 7, 9, 0, 0, 8, 8, 10, 1, 2, 0, …
$ iorgact <dbl+lbl> 5, 0, 5, 2, 10, 6, 2, 10, 8, 0, 0, 10, 7, 4, 3, 2, 10, 0, 0, 0, 8, 10, 2, 0, 0, …
$ wkhct <dbl+lbl> 0, 40, 40, 30, NA(a), 40, 40, 60, 40, 40, 40, NA(a), 45, 45, …
$ icwhct <dbl+lbl> 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1…
$ wkhtot <dbl+lbl> 0, 40, 40, 30, 80, 50, 45, 60, 40, 50, 45, 25, 45, 50, 39, 25, 168, 27, 40, 35, …
$ nacer2 <dbl+lbl> 78, 43, 79, 69, 56, 49, 56, 47, 47, 56, 24, 96, 49, 88, …
$ tporgwk <dbl+lbl> 4, 4, 4, 5, 4, 3, 4, 4, 4, 4, 4, 5, 3, 2, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 3, 4, 5, 4, 4, 4, 3, 4, 4, 4…
$ isco08 <dbl+lbl> 3333, 7122, 4221, 4311, 6130, 7212, 5131, 5223, 6112, 4224, 8121, 5246, 7233, 5321, 4110, 5132, 7531…
$ wrkac6m <dbl+lbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2…
$ uemp3m <dbl+lbl> 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 1, 1, 2, 2, 2, 1, 2, 1, 2, 1, 2, 1, 1, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2…
$ uemp12m <dbl+lbl> NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), 1, NA(a), NA(a), NA(a), 2, 2, NA(a), NA(a), NA…
$ uemp5yr <dbl+lbl> NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), 2, NA(a), NA(a), NA(a), 2, 2, NA(a), NA(a), NA…
$ mbtru <dbl+lbl> 3, 2, 3, 3, 3, 2, 2, 3, 3, 3, 3, 2, 2, 3, 3, 3, 2, 3, 3, 3, 2, 2, 3, 1, 2, 3, 3, 3, 3, 3, 1, 2, 3, 3…
$ hincsrca <dbl+lbl> 1, 4, 1, 2, 4, 4, 1, 4, 1, 5, 1, 4, 4, 1, …
$ hinctnta <dbl+lbl> 3, 5, 9, 6, 1, 5, 7, 2, NA(a), 3, 4, 9, 3, NA(b), …
$ hincfel <dbl+lbl> 3, 2, 1, 2, 2, 1, 2, 2, 2, 2, 1, 1, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 3, 2, 1, 3, 4, 1, 3, 1, 1, 2, 2, 1…
$ iincsrc <dbl+lbl> NA(a), 4, 1, 2, NA(a), 4, 1, NA(a), 1, NA(a), NA(a), 4, 4, 1, NA…
$ eiscedp <dbl+lbl> NA(a), 3, 3, 3, NA(a), 2, 3, NA(a), 3, NA(a), NA(a), 5, 3, NA(a), NA…
$ edulvlpb <dbl+lbl> NA(a), 322, 322, 322, NA(a), 212, 322, NA(a), 322, NA(a), NA(a), 423, 322, NA(a), NA…
$ edlvpeat <dbl+lbl> NA(a), 6, 7, 6, NA(a), 3, 6, NA(a), 6, NA(a), NA(a), 10, 6, NA(a), NA…
$ edlvpebe <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvpebg <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvpdch <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvpgcy <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvpdcz <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edupbde1 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edupade2 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edupade3 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvpddk <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvpdee <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvpfes <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvpdfi <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvpdfr <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edupcgb1 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edupbgb2 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edagepgb <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvpehr <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvpdhu <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvpdie <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvpdis <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvpeit <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvpdlt <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvpdlv <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvpdme <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvpenl <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvpdno <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvpfpl <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvpdpt <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvpdrs <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvpdse <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvpesi <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvpdsk <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ pdwrkp <dbl+lbl> 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1…
$ edctnp <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ uemplap <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ uemplip <dbl+lbl> 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ dsbldp <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ rtrdp <dbl+lbl> 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0…
$ cmsrvp <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ hswrkp <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0…
$ dngothp <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ dngdkp <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ dngnapp <dbl+lbl> 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0…
$ dngrefp <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ dngnap <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ mnactp <dbl+lbl> NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), 7, NA(a), NA(a), NA…
$ crpdwkp <dbl+lbl> NA(a), 2, NA(a), 2, NA(a), 2, NA(a), NA(a), 2, NA(a), NA(a), 1, 2, NA(a), NA…
$ isco08p <dbl+lbl> NA(a), NA(a), 4311, NA(a), NA(a), NA(a), 5120, NA(a), NA(a), NA(a), NA(a), 3315, NA(a), NA(a), NA…
$ emprelp <dbl+lbl> NA(a), NA(a), 1, NA(a), NA(a), NA(a), 1, NA(a), NA(a), NA(a), NA(a), 2, NA(a), NA(a), NA…
$ wkhtotp <dbl+lbl> NA(a), NA(a), 40, NA(a), NA(a), NA(a), 45, NA(a), NA(a), NA(a), NA(a), 15, NA(a), NA(a), NA…
$ eiscedf <dbl+lbl> 3, 3, 3, 3, 2, 2, 3, 3, 2, 3, 3, 3, 3, 3, …
$ edulvlfb <dbl+lbl> 322, 322, 322, 322, 212, 212, 322, 322, 212, 322, 322, 322, 322, 322, …
$ edlvfeat <dbl+lbl> 6, 6, 6, 6, 3, 3, 6, 6, 4, 6, 6, 7, 6, 6, …
$ edlvfebe <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvfebg <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvfdch <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvfgcy <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvfdcz <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edufbde1 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edufade2 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edufade3 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvfddk <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvfdee <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvffes <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvfdfi <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvfdfr <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edufcgb1 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edufbgb2 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edagefgb <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvfehr <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvfdhu <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvfdie <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvfdis <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvfeit <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvfdlt <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvfdlv <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvfdme <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvfenl <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvfdno <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvffpl <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvfdpt <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvfdrs <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvfdse <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvfesi <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvfdsk <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ emprf14 <dbl+lbl> 4, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 4, 1, …
$ occf14b <dbl+lbl> NA(a), 6, 6, 6, NA(a), 9, 6, 3, 9, NA(a), 6, 3, NA(a), 7, …
$ eiscedm <dbl+lbl> 3, 2, 3, 1, 2, 2, 2, 3, 2, 2, 3, 3, 2, 3, …
$ edulvlmb <dbl+lbl> 322, 212, 322, 113, 212, 212, 212, 322, 212, 212, 322, 322, 212, 322, …
$ edlvmeat <dbl+lbl> 6, 3, 6, 2, 3, 3, 3, 6, 4, 3, 6, 7, 3, 6, …
$ edlvmebe <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvmebg <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvmdch <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvmgcy <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvmdcz <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edumbde1 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edumade2 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edumade3 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvmddk <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvmdee <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvmfes <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvmdfi <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvmdfr <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edumcgb1 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edumbgb2 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edagemgb <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvmehr <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvmdhu <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvmdie <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvmdis <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvmeit <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvmdlt <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvmdlv <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvmdme <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvmenl <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvmdno <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvmfpl <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvmdpt <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvmdrs <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvmdse <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvmesi <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ edlvmdsk <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ emprm14 <dbl+lbl> 1, 3, 1, 3, 2, 3, 3, 3, 3, 1, 1, 1, 1, 1, 3, 1, 2, 1, 1, 1, 3, 3, 2, 1, 2, 1, 1, 1, 3, 3, 3, 3, 1, 1…
$ occm14b <dbl+lbl> 8, NA(a), 6, NA(a), 9, NA(a), NA(a), NA(a), NA(a), 4, 6, 3, 7, 4, NA…
$ atncrse <dbl+lbl> 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1…
$ anctry1 <dbl+lbl> 11010, 11010, 11010, 11010, 11010, 11010, 11010, 11010, 11010, 11018, 11010, 11010, 11010, 11010, 11…
$ anctry2 <dbl+lbl> 11018, NA(a), 11018, NA(a), NA(a), 11018, NA(a), NA(a), NA(a), 11010, NA(a), 11018, NA(a), NA(a), NA…
$ region <chr> "AT22", "AT21", "AT33", "AT21", "AT32", "AT21", "AT12", "AT22", "AT33", "AT33", "AT31", "AT12", "AT13", …
$ regunit <dbl+lbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2…
$ frprtpl <dbl+lbl> 2, 3, 3, 2, 3, 3, 3, 2, 2, 3, 4, 4, 2, 1, 3, 4, 4, 2, 2, 3, 5, 3, 5, 3, 3, 2, 3, 3, 3, 3, 3, 3, 4, 3…
$ gvintcz <dbl+lbl> 2, 3, 3, 3, 3, 3, 3, 3, 2, 3, 5, 3, 4, 2, 3, 2, 4, 2, 1, 3, 5, 3, 4, 3, 3, 3, 3, 2, 2, 3, 3, 2, 4, 4…
$ poltran <dbl+lbl> 2, 3, 3, 3, 2, 3, 3, 2, 1, 3, 5, 2, 2, 1, 3, 3, 4, 3, 1, 3, 4, 3, 3, 3, 4, 2, 3, 3, 2, 2, 3, 2, 5, 4…
$ ifredu <dbl+lbl> 10, 10, 9, 1, 0, 3, 5, 5, 5, 10, 10, 10, 8, 7, 10, 10, 9, 2, 10, 7, 8, 10, 7, 8, 9, …
$ ifrjob <dbl+lbl> 10, 10, 8, 3, 4, 3, 6, 5, 5, 10, 9, 10, 4, 2, …
$ evfredu <dbl+lbl> 6, 8, 8, 3, 5, 8, 6, 5, 4, 7, 10, 3, 4, 3, …
$ evfrjob <dbl+lbl> 5, 8, 8, 1, 5, 4, 6, 5, 5, 7, 10, 3, 5, 2, 10, 10, 8, 3, 10, 3, 8, 7, 7, 4, 6, …
$ fvgabc <dbl+lbl> 1, 2, 1, 1, 2, 2, 1, 2, 1, 3, 1, 2, 2, 1, …
$ infqbst <dbl+lbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, …
$ grspnum <dbl+lbl> NA(c), NA(a), 2600, 2550, NA(a), NA(a), 1500, NA(a), NA(b), NA(a), 2600, NA(a), NA(a), 3100, NA…
$ grsplet <dbl+lbl> 5, NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(b), NA(a), NA(a), NA(a), NA(a), NA(a), NA…
$ netinum <dbl+lbl> 1700, 1500, 1800, 2000, 1100, 2000, 1350, 1300, NA(b), 1500, 2000, 800, 1500, 2410, 1…
$ netilet <dbl+lbl> NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(a), NA(b), NA(a), NA(a), NA(a), NA(a), NA(a), NA…
$ grspfr <dbl+lbl> -2, NA(a), 0, 0, NA(a), NA(a), -2, NA(a), 0, NA(a), 1, NA(a), NA(a), 0, NA…
$ netifr <dbl+lbl> -2, 0, 0, 0, -1, 0, -2, -1, 0, 0, 1, 0, 0, 0, …
$ frlgrsp <dbl+lbl> 2800, NA(a), NA(a), NA(a), NA(a), NA(a), 1800, NA(a), NA(a), NA(a), 2200, NA(a), NA(…
$ frlneti <dbl+lbl> 1900, NA(a), NA(a), NA(a), 1300, NA(a), 1500, 1500, NA(a), NA(a), 1800, NA(a), NA(a), NA(a), NA…
$ occinfr <dbl+lbl> NA(c), 0, 0, 0, -2, 0, -2, -2, 0, -1, 1, NA(c), 0, 0, …
$ topinfr <dbl+lbl> 4, 2, 2, 1, 3, 1, 3, 3, 4, 2, 3, NA(b), 4, 4, …
$ btminfr <dbl+lbl> -4, -2, 0, -1, -4, -3, -3, -3, -4, -2, -4, -2, -2, -4, …
$ wltdffr <dbl+lbl> 4, 2, 1, 1, 3, -3, 3, 3, 4, 1, 2, -3, 4, 3, …
$ recskil <dbl+lbl> 4, 4, 3, 1, 3, 3, 3, 4, 4, 3, NA(a), 2, 2, 3, …
$ recexp <dbl+lbl> 2, 3, 4, 1, 3, 2, 3, 2, 4, 3, NA(a), 2, 3, 3, …
$ recknow <dbl+lbl> 3, 3, 3, 4, 4, 4, 3, 3, 4, 3, NA(a), 3, 3, 3, …
$ recimg <dbl+lbl> 2, 2, 3, NA(b), 3, 3, 3, 3, 4, 2, 1, 3, 1, 3, …
$ recgndr <dbl+lbl> 2, 2, 3, 2, 1, 3, 2, 3, 2, 2, 3, 3, 3, 3, …
$ sofrdst <dbl+lbl> 3, 3, 2, 3, 2, 2, 2, 2, 2, 2, 1, 3, 1, 2, …
$ sofrwrk <dbl+lbl> 2, 1, 2, 2, 1, 2, 2, 3, 1, 2, 5, 3, 1, 1, …
$ sofrpr <dbl+lbl> 3, 1, 2, 2, 1, 2, 2, 2, 1, 2, 5, 2, 1, 1, 2, 1, 2, 2, 2, 2, 3, 2, 2, 2, 2, 1, 2, 1, 2, 2, 2, 2, 2, 1…
$ sofrprv <dbl+lbl> 3, 5, 4, 4, 4, 3, 5, 4, 1, 2, 5, 4, 4, 1, …
$ ppldsrv <dbl+lbl> 2, 2, 3, 3, 4, 2, 2, 4, 3, 2, 2, 3, 2, 1, …
$ jstprev <dbl+lbl> 2, 2, 3, 3, 4, 2, 3, 4, 2, 2, 1, 2, 2, 2, 1, 1, 2, 2, 1, 4, 2, 3, 2, 3, 3, 2, 2, 2, 5, 3, 2, 2, 1, 2…
$ pcmpinj <dbl+lbl> 2, 2, 3, 4, 4, 3, 2, 4, 2, 2, 1, 3, 2, 1, …
$ ipcrtiv <dbl+lbl> 2, 3, 3, 2, 2, 4, 2, 3, 4, 3, 4, 1, 3, 1, 4, 2, 2, 1, 1, 3, 2, 1, 4, 3, 2, 2, 2, 5, 2, 1, 3, 4, 2, 2…
$ imprich <dbl+lbl> 2, 4, 5, 5, 6, 6, 3, 4, 6, 3, 3, 6, 1, 6, 5, 2, 4, 4, 5, 3, 5, 4, 5, 4, 2, 2, 4, 4, 3, 2, 2, 3, 1, 4…
$ ipeqopt <dbl+lbl> 2, 3, 3, 1, 1, 1, 2, 4, 1, 3, 6, 1, NA(a), 2, …
$ ipshabt <dbl+lbl> 2, 3, 3, 1, 4, 2, 2, 4, 1, 3, 6, 6, 1, 6, 2, 3, 2, 2, 1, 3, 2, 2, 5, 2, 3, 2, 2, 2, 2, 1, 3, 3, 3, 1…
$ impsafe <dbl+lbl> 2, 2, 4, 1, 2, 2, 3, 1, 1, 2, 6, 6, 1, 2, 1, 5, 2, 2, 1, 1, 2, 1, 3, 2, 2, 4, 2, 2, 3, 3, 4, 2, 2, 2…
$ impdiff <dbl+lbl> 2, 4, 4, 3, 4, 3, 2, 6, 5, 2, 4, 5, 2, 1, 5, 5, 3, 3, 1, 3, 3, 3, 3, 3, 2, 2, 3, 4, 1, 2, 4, 4, 1, 5…
$ ipfrule <dbl+lbl> 2, 4, 3, 2, 2, 4, 3, 3, 4, 3, 6, NA(a), NA(b), 6, …
$ ipudrst <dbl+lbl> 3, 3, 3, 1, 3, 1, 3, 3, 3, 3, 5, 2, 3, 2, 1, 1, 3, 2, 1, 2, 3, 2, 3, 3, 2, 4, 2, 2, 3, 3, 3, 6, 2, 2…
$ ipmodst <dbl+lbl> 1, 4, 3, 2, 3, 1, 4, 3, 2, 3, 6, 4, 5, 6, 2, 2, 4, 2, 2, 3, 2, 3, 3, 2, 2, 6, 3, 3, 3, 3, 2, 6, 5, 3…
$ ipgdtim <dbl+lbl> 2, 3, 4, 3, 2, 1, 2, 4, 2, 2, 6, 5, 2, 1, 3, 2, 2, 2, 2, 2, 2, 2, 4, 3, 1, 1, 2, 4, 1, 1, 3, 3, 2, 3…
$ impfree <dbl+lbl> 1, 3, 2, 1, 2, 1, 2, 3, 3, 2, 6, 1, NA(b), 2, …
$ iphlppl <dbl+lbl> 2, 3, 2, 1, 2, 1, 3, 2, 1, 2, 6, 2, 1, 2, 1, 1, 2, 1, 2, 2, 2, 2, 5, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 3…
$ ipsuces <dbl+lbl> 2, 4, 3, 1, 6, 3, 3, 4, 5, 3, 3, 6, 2, 5, 4, 3, 3, 3, 2, 3, 2, 2, 4, 3, 2, 1, 2, 2, 3, 1, 2, 2, 4, 1…
$ ipstrgv <dbl+lbl> 2, 3, 2, 1, 2, 2, 2, 2, 3, 3, 6, 6, 1, 3, 1, 2, 2, 1, 2, 1, 2, 1, 3, 2, 1, 2, 3, 2, 3, 3, 3, 4, 1, 1…
$ ipadvnt <dbl+lbl> 2, 5, 3, 6, 6, 3, 2, 6, 6, 4, 5, 5, 5, 4, 6, 4, 2, 3, 4, 3, 4, 3, 4, 4, 3, 2, 3, 5, 2, 2, 4, 4, 6, 4…
$ ipbhprp <dbl+lbl> 2, 2, 2, 1, 1, 1, 3, 3, 1, 3, 5, 6, 3, 2, 1, 5, 2, 2, 3, 2, 2, 1, 2, 2, 2, 6, 3, 1, 3, 2, 3, 3, 4, 2…
$ iprspot <dbl+lbl> 2, 3, 3, 1, 3, 2, 3, 4, 6, 3, 6, 6, 6, 2, 2, 3, 2, 2, 2, 2, 2, 2, 2, 3, 2, 2, 2, 2, 4, 2, 3, 3, 6, 2…
$ iplylfr <dbl+lbl> 2, 2, 3, 1, 2, 1, 3, 1, 2, 3, 4, 2, 1, 1, 1, 1, 2, 2, 2, 2, 2, 1, 4, 1, 1, 2, 1, 1, 3, 2, 2, 3, 6, 2…
$ impenv <dbl+lbl> 3, 3, 3, 1, 1, 1, 3, 1, 1, 3, 5, 1, 2, 4, 1, 1, 2, 2, 1, 2, 1, 1, 2, 2, 2, 3, 2, 1, 2, 2, 2, 2, 6, 3…
$ imptrad <dbl+lbl> 2, 3, 3, 2, 1, 1, 3, 4, 1, 2, 6, 5, 1, 3, 3, 2, 2, 3, 1, 4, 2, 2, 4, 2, 2, 3, 3, 1, 4, 2, 3, 2, 3, 2…
$ impfun <dbl+lbl> 3, 3, 3, 3, 3, 1, 2, 4, 1, 3, 6, 5, 1, 2, 5, 3, 1, 2, 1, 2, 2, 2, 3, 3, 2, 1, 2, 2, 1, 2, 3, 2, 6, 4…
$ inwdds <dbl+lbl> 2, 19, 12, 26, 5, 3, 29, 9, 10, 27, 8, 18, 24, 16, 30, 10, 30, 19, 26, 6, 12, 22, 24, 18, 3, …
$ inwmms <dbl+lbl> 12, 12, 11, 11, 12, 12, 9, 11, 10, 10, 12, 12, 9, 11, 12, 11, 9, 11, 9, 12, 10, 10, 9, 10, 12, …
$ inwyys <dbl+lbl> 2018, 2018, 2018, 2018, 2018, 2018, 2018, 2018, 2018, 2018, 2018, 2018, 2018, 2018, 2018, 2018, 2018…
$ inwshh <dbl+lbl> 20, 9, 19, 16, 13, 16, 14, 17, 16, 12, 13, 9, 12, 11, 13, 14, 12, 14, 13, 19, 17, 11, 10, 14, 18, …
$ inwsmm <dbl+lbl> 19, 39, 13, 31, 53, 14, 39, 45, 19, 27, 8, 20, 48, 14, 41, 46, 37, 28, 1, 35, 0, 37, 6, 28, 20, …
$ inwdde <dbl+lbl> 2, 19, 12, 26, 5, 3, 29, 9, 10, 27, 8, 18, 24, 16, 30, 10, 30, 19, 26, 6, 12, 22, 24, 18, 3, …
$ inwmme <dbl+lbl> 12, 12, 11, 11, 12, 12, 9, 11, 10, 10, 12, 12, 9, 11, 12, 11, 9, 11, 9, 12, 10, 10, 9, 10, 12, …
$ inwyye <dbl+lbl> 2018, 2018, 2018, 2018, 2018, 2018, 2018, 2018, 2018, 2018, 2018, 2018, 2018, 2018, 2018, 2018, 2018…
$ inwehh <dbl+lbl> 21, 11, 20, 18, 14, 17, 15, 18, 17, 13, 14, 11, 13, 11, 14, 15, 14, 15, 14, 20, 17, 12, 13, 15, 19, …
$ inwemm <dbl+lbl> 7, 6, 48, 49, 39, 12, 57, 56, 11, 48, 51, 14, 52, 55, 36, 36, 0, 33, 5, 47, 51, 22, 8, 46, 51, …
$ inwtm <dbl> 46, 73, 92, 134, 40, 52, 75, 67, 32, 75, 89, 102, 58, 32, 55, 44, 78, 59, 59, 65, 46, 42, 178, 70, 82, 8…
$ domain <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 1, 2, 1, 1, 1, 2, 2, 2, 2,…Descriptive statistics
ggplot(ess_data, aes(x = agea)) +
geom_histogram(binwidth = 5, fill = "steelblue", color = "white") +
labs(title = "Distribution of Age in ESS 2018", x = "Age", y = "Count")
table(ess_data$vote)
1 2 3
35505 9728 3710 # Convert "vote" variable to a factor
ess_data$vote <- factor(ess_data$vote)
# Create a cross-table for "vote" by country using dplyr
ess_data %>%
group_by(cntry) %>%
summarise(voted = sum(vote == "Yes", na.rm = TRUE),
did_not_vote = sum(vote == "No, did not vote", na.rm = TRUE),
refused = sum(vote == "Refused", na.rm = TRUE),
dk = sum(vote == "Don't know", na.rm = TRUE),
na = sum(is.na(vote)))ChatGPT assumed that the factor conversion kept the label
ess_data <- ess_data_raw
# Create a cross-table for "vote" by country using dplyr
ess_data %>%
group_by(cntry) %>%
summarise(voted = sum(vote == 1, na.rm = TRUE),
did_not_vote = sum(vote == 2, na.rm = TRUE),
refused = sum(vote == 3, na.rm = TRUE),
dk = sum(vote == 4, na.rm = TRUE),
na = sum(is.na(vote)),
share = round(100 *voted / (voted + did_not_vote))
) %>%
arrange(desc(share))Turnout model
# Recode "vote" variable as 1, 0, or NA
ess_data <-
ess_data %>%
mutate(voted = case_when(
vote == 1 ~ 1,
vote == 2 ~ 0,
TRUE ~ NA_real_,),
sex = ifelse(gndr == 1, 1, 0)
)
# Run logistic regression model with "vote" as the outcome variable and "agea" and "gndr" as predictors
model <- glm(voted ~ agea , data = ess_data, family = binomial)
# Print summary of model results
summary(model)
Call:
glm(formula = voted ~ agea, family = binomial, data = ess_data)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 0.1631015 0.0346343 4.709 2.49e-06 ***
agea 0.0223452 0.0006682 33.438 < 2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
(Dispersion parameter for binomial family taken to be 1)
Null deviance: 46849 on 45039 degrees of freedom
Residual deviance: 45693 on 45038 degrees of freedom
(4479 observations deleted due to missingness)
AIC: 45697
Number of Fisher Scoring iterations: 4# Calculate predicted probabilities and confidence intervals using ggpredict
prob_ci <- ggpredict(model, terms = "agea", type = "re")Data were 'prettified'. Consider using `terms="agea [all]"` to get smooth plots.# Plot predicted probabilities and confidence intervals using ggplot
ggplot(prob_ci, aes(x = x, y = predicted)) +
geom_line(color = "blue") +
geom_ribbon(aes(ymin = conf.low, ymax = conf.high), alpha = 0.3) +
labs(title = "Predicted Probability of Voting by Age",
x = "Age", y = "Predicted Probability")
# Run logistic regression model with "vote" as the outcome variable and predictors
model <- glm(voted ~ agea + sex , data = ess_data, family = binomial)
# Create effects plot for age, controlling for gender
plot <- ggpredict(model, terms = c("agea", "sex"))Data were 'prettified'. Consider using `terms="agea [all]"` to get smooth plots.# Plot the effects of age on voter turnout
plot(plot)
summary(model)
Call:
glm(formula = voted ~ agea + sex, family = binomial, data = ess_data)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 0.1086697 0.0365622 2.972 0.00296 **
agea 0.0224433 0.0006687 33.564 < 2e-16 ***
sex 0.1081988 0.0233842 4.627 3.71e-06 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
(Dispersion parameter for binomial family taken to be 1)
Null deviance: 46849 on 45039 degrees of freedom
Residual deviance: 45671 on 45037 degrees of freedom
(4479 observations deleted due to missingness)
AIC: 45677
Number of Fisher Scoring iterations: 4# Fit logistic regression model
model <- glm(voted ~ agea + sex + cntry, data = ess_data, family = binomial)
# Create effects plot for age, gender, and country
plot <- ggpredict(model, terms = c("cntry", "sex"))
# Plot the effects of age on voter turnout
plot(plot)
Interaction effect
# Fit logistic regression model
model <- glm(voted ~ agea * sex + cntry, data = ess_data, family = binomial)
# Create effects plot for age, gender, and their interaction
plot <- ggpredict(model, terms = c("agea", "sex"))Data were 'prettified'. Consider using `terms="agea [all]"` to get smooth plots.# Plot the effects of age on voter turnout
plot(plot)
summary(model)
Call:
glm(formula = voted ~ agea * sex + cntry, family = binomial,
data = ess_data)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 0.7163348 0.0752772 9.516 < 2e-16 ***
agea 0.0205592 0.0009151 22.467 < 2e-16 ***
sex -0.3791024 0.0719916 -5.266 1.39e-07 ***
cntryBE 0.3028303 0.0997407 3.036 0.00240 **
cntryBG -0.4910006 0.0815819 -6.019 1.76e-09 ***
cntryCH -1.1155573 0.0877576 -12.712 < 2e-16 ***
cntryCY -0.7778813 0.1064095 -7.310 2.67e-13 ***
cntryCZ -1.2045472 0.0738839 -16.303 < 2e-16 ***
cntryDE 0.2325892 0.0897271 2.592 0.00954 **
cntryDK 0.9087010 0.1227336 7.404 1.32e-13 ***
cntryEE -0.8487024 0.0814876 -10.415 < 2e-16 ***
cntryES -0.4357249 0.0869056 -5.014 5.34e-07 ***
cntryFI 0.0973838 0.0958806 1.016 0.30978
cntryFR -1.1216666 0.0789853 -14.201 < 2e-16 ***
cntryGB -0.4264041 0.0814040 -5.238 1.62e-07 ***
cntryHR -0.8724987 0.0811271 -10.755 < 2e-16 ***
cntryHU -0.7693361 0.0830124 -9.268 < 2e-16 ***
cntryIE -0.3760081 0.0828818 -4.537 5.71e-06 ***
cntryIS 0.6559825 0.1415491 4.634 3.58e-06 ***
cntryIT -0.4083758 0.0782475 -5.219 1.80e-07 ***
cntryLT -1.0622801 0.0796391 -13.339 < 2e-16 ***
cntryLV -0.8679301 0.0998566 -8.692 < 2e-16 ***
cntryME 0.1086757 0.1049202 1.036 0.30030
cntryNL -0.0819647 0.0920896 -0.890 0.37344
cntryNO 0.5815344 0.1141954 5.092 3.53e-07 ***
cntryPL -0.8117903 0.0854617 -9.499 < 2e-16 ***
cntryPT -0.6281232 0.0976868 -6.430 1.28e-10 ***
cntryRS -0.6535206 0.0810338 -8.065 7.34e-16 ***
cntrySE 1.1888535 0.1344807 8.840 < 2e-16 ***
cntrySI -1.0656745 0.0853310 -12.489 < 2e-16 ***
cntrySK -1.1255039 0.0902902 -12.465 < 2e-16 ***
agea:sex 0.0088304 0.0013937 6.336 2.36e-10 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
(Dispersion parameter for binomial family taken to be 1)
Null deviance: 46849 on 45039 degrees of freedom
Residual deviance: 43382 on 45008 degrees of freedom
(4479 observations deleted due to missingness)
AIC: 43446
Number of Fisher Scoring iterations: 5nagelkerke(model)$Models
Model: "glm, voted ~ agea * sex + cntry, binomial, ess_data"
Null: "glm, voted ~ 1, binomial, ess_data"
$Pseudo.R.squared.for.model.vs.null
Pseudo.R.squared
McFadden 0.0788575
Cox and Snell (ML) 0.0791486
Nagelkerke (Cragg and Uhler) 0.1220420
$Likelihood.ratio.test
Df.diff LogLik.diff Chisq p.value
-31 -1856.9 3713.8 0
$Number.of.observations
Model: 45040
Null: 45233
$Messages
[1] "Note: For models fit with REML, these statistics are based on refitting with ML"
$Warnings
[1] "WARNING: Fitted and null models have different numbers of observations"# Extract model coefficients and standard errors into a tidy data frame
model_summary <- tidy(model, exponentiate = TRUE)
# View the tidy data frame
model_summary# Extract model summary statistics using broom::glance
glance(model)Multi-level model
# Model with interaction effect
model <- glmer(voted ~ agea * sex + (1|cntry), data = ess_data, family = binomial)Warning: Model failed to converge with max|grad| = 0.0034667 (tol = 0.002, component 1)Warning: Model is nearly unidentifiable: very large eigenvalue
- Rescale variables?# Summary of the model
summary(model)Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) ['glmerMod']
Family: binomial ( logit )
Formula: voted ~ agea * sex + (1 | cntry)
Data: ess_data
AIC BIC logLik deviance df.resid
43551.5 43595.1 -21770.8 43541.5 45035
Scaled residuals:
Min 1Q Median 3Q Max
-6.8745 0.2317 0.4159 0.5600 1.1641
Random effects:
Groups Name Variance Std.Dev.
cntry (Intercept) 0.4131 0.6427
Number of obs: 45040, groups: cntry, 29
Fixed effects:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 0.3332775 0.1289519 2.585 0.00975 **
agea 0.0205312 0.0009146 22.448 < 2e-16 ***
sex -0.3785673 0.0719559 -5.261 1.43e-07 ***
agea:sex 0.0088343 0.0013930 6.342 2.27e-10 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Correlation of Fixed Effects:
(Intr) agea sex
agea -0.354
sex -0.253 0.630
agea:sex 0.232 -0.650 -0.942
optimizer (Nelder_Mead) convergence code: 0 (OK)
Model failed to converge with max|grad| = 0.0034667 (tol = 0.002, component 1)
Model is nearly unidentifiable: very large eigenvalue
- Rescale variables?# Create effects plot for age, gender, and their interaction
plot <- ggpredict(model, terms = c("agea", "sex"))Data were 'prettified'. Consider using `terms="agea [all]"` to get smooth plots.# Plot the effects of age on voter turnout
plot(plot)
fivenum(ess_data$agea, na.rm = TRUE)[1] 15 36 52 66 90table(ess_data$sex)
0 1
26499 23020 cor(ess_data$agea, ess_data$sex, use = "complete.obs")[1] -0.03562442# Create a new column centered_age that is the age variable minus its mean
ess_data <-
ess_data %>%
group_by(cntry) %>%
mutate(age_c = agea - mean(agea, na.rm = TRUE))
# Model with interaction effect
model <- glmer(voted ~ age_c * sex + (1|cntry), data = ess_data, family = binomial)Warning: Model is nearly unidentifiable: very large eigenvalue
- Rescale variables?# Summary of the model
summary(model)Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) ['glmerMod']
Family: binomial ( logit )
Formula: voted ~ age_c * sex + (1 | cntry)
Data: ess_data
AIC BIC logLik deviance df.resid
43548.3 43591.8 -21769.1 43538.3 45035
Scaled residuals:
Min 1Q Median 3Q Max
-6.9171 0.2306 0.4156 0.5598 1.1601
Random effects:
Groups Name Variance Std.Dev.
cntry (Intercept) 0.3925 0.6265
Number of obs: 45040, groups: cntry, 29
Fixed effects:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 1.3811387 0.1175004 11.754 < 2e-16 ***
age_c 0.0204300 0.0009174 22.270 < 2e-16 ***
sex 0.0745058 0.0244384 3.049 0.0023 **
age_c:sex 0.0090979 0.0014031 6.484 8.92e-11 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Correlation of Fixed Effects:
(Intr) age_c sex
age_c 0.010
sex -0.092 -0.043
age_c:sex -0.006 -0.652 0.147
optimizer (Nelder_Mead) convergence code: 0 (OK)
Model is nearly unidentifiable: very large eigenvalue
- Rescale variables?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