R Notebook

library(psych)
library(tidyverse)

Registered S3 methods overwritten by 'dbplyr':
  method         from
  print.tbl_lazy     
  print.tbl_sql      
-- Attaching packages --------------------------------------- tidyverse 1.3.0 --
v ggplot2 3.3.2     v purrr   0.3.4
v tibble  3.0.3     v dplyr   1.0.2
v tidyr   1.1.1     v stringr 1.4.0
v readr   1.3.1     v forcats 0.5.0
-- Conflicts ------------------------------------------ tidyverse_conflicts() --
x ggplot2::%+%()   masks psych::%+%()
x ggplot2::alpha() masks psych::alpha()
x tidyr::expand()  masks Matrix::expand()
x dplyr::filter()  masks stats::filter()
x dplyr::lag()     masks stats::lag()
x tidyr::pack()    masks Matrix::pack()
x tidyr::unpack()  masks Matrix::unpack()

nci.clean <- NCI_merged_17_19 %>%
  rename(.,
         mood_disorder = DXMIPDMD13,
          anxiety_disorder = DXMIPDAD13,
          psychotic_disorder = DXMIPDPD13,
          other_mh = DXMIPDOTH13,
          behavior_dx = DXMIPDBC13,
       self_injury = SELFINJ08,
       disruptive = DISBEH08,
       destructive = UNCPBEH08) 

nci.mh <- filter(nci.clean, (mood_disorder==2 | anxiety_disorder==2 | psychotic_disorder==2 | other_mh==2) &  (behavior_dx==1 & self_injury==1 &  disruptive==1 & destructive==1)) 

nci.beh <- filter(nci.clean, (behavior_dx==2 | self_injury==2 | self_injury==3 | disruptive==2 | disruptive==3 | destructive==2 | destructive==3) & (mood_disorder==1 & anxiety_disorder==1 & psychotic_disorder==1))

nci.none <- filter(nci.clean, mood_disorder==1 & anxiety_disorder==1 & psychotic_disorder==1 & other_mh==1 & behavior_dx==1 & self_injury==1 &  disruptive==1 & destructive==1)

nci.both <- filter(nci.clean, (mood_disorder==2 | anxiety_disorder==2 | psychotic_disorder==2 | other_mh==2) & (behavior_dx==2 | self_injury==2 | self_injury==3 | disruptive==2 | disruptive==3 | destructive==2 | destructive==3)) 

glimpse(nci.beh)

Rows: 936
Columns: 455
$ STATUS              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
$ STATUS_SPECIFY      <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ SLANGUAGE           <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
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$ VA_TRNDISCH         <dbl> 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1...
$ METROCAT            <chr> "Metropolitan", "Metropolitan", "Metropo...
$ MEDINCOMECAT        <dbl> 13, 8, 9, 12, 8, 5, 11, 11, 12, 7, 4, 10...
$ DOB                 <date> 1962-05-01, 1981-08-01, 1967-02-01, 195...
$ GENDER              <dbl> 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1...
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$ psychotic_disorder  <dbl> 1, 2, 1, NA, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
$ other_mh            <dbl> 1, 1, 1, NA, 1, 1, 1, 1, 1, 1, 1, 2, 1, ...
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$ self_injury         <dbl> 3, 1, 1, 2, 1, 1, 1, 3, 1, 2, 2, 1, 1, 1...
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$ WHYSEEFRNDSDKNRUR16 <dbl> 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, 1...
$ FRNDSCOMM16         <dbl> 2, 2, NA, NA, 2, 2, 2, NA, 2, 2, 2, 2, 2...
$ CANDATE15           <dbl> 3, 2, 2, 2, 2, 2, 2, NA, 3, 3, NA, 2, 2,...
$ LONELY15            <dbl> 1, 3, 2, 1, 1, 1, 1, NA, 1, 1, 2, 2, 1, ...
$ SEEFAMLY15          <dbl> 2, 1, 1, 2, 2, 1, 2, NA, 2, 2, 3, 3, 2, ...
$ GOOUT15             <dbl> 2, 2, 2, 2, 2, 2, 3, NA, 2, 2, 2, 2, 2, ...
$ GOOUTENOUGH15       <dbl> 2, 2, 1, 2, NA, 2, 2, NA, 2, 2, 1, NA, 2...
$ HOMETODO15          <dbl> 2, 2, 1, 2, 2, 2, 2, NA, 2, 2, 2, 2, 2, ...
$ MAILOPEN15          <dbl> 1, 1, 1, 1, 1, 1, 1, NA, NA, 1, 2, NA, 1...
$ ALONEGST15          <dbl> 2, 2, 2, 2, 1, 2, 2, 99, 1, 2, 1, 99, 2,...
$ VISITRULES15        <dbl> 1, 1, NA, 1, 2, 1, 2, NA, 2, 2, 1, NA, 1...
$ USEPHONE15          <dbl> 2, 2, 2, NA, 2, 2, 2, NA, 2, 2, 1, 2, 2,...
$ KNOWSCM15           <dbl> 2, 2, 2, NA, 2, 2, 2, NA, 2, 2, NA, NA, ...
$ ASKIMPOR15          <dbl> 2, 2, 2, NA, NA, 2, 2, NA, 2, 2, 2, NA, ...
$ VA_ACS_WORKCOMM     <dbl> 2, 97, 1, NA, 2, 97, 2, NA, 97, 2, 1, NA...
$ VA_ACS_LIVEHOME     <dbl> 1, 2, 1, NA, NA, 2, 2, NA, 2, 3, 1, 3, 3...
$ GETSBACK15          <dbl> 3, 2, 2, 2, 3, 2, 2, NA, 1, 2, 1, NA, 2,...
$ VA_ACS_TALKTO       <dbl> 2, 2, 1, 3, 2, 2, 2, NA, 2, 2, 1, NA, 2,...
$ SPLAN15             <dbl> 2, 2, NA, 2, 2, 2, 2, NA, 2, 2, NA, NA, ...
$ MSPLAN15            <dbl> 2, 2, NA, 2, 2, 2, 2, NA, 2, 2, NA, NA, ...
$ PLANUNDRSTND15      <dbl> 2, 2, NA, 3, 2, 2, 3, NA, 3, 3, NA, NA, ...
$ PLANCHOOSE15        <dbl> 2, 2, NA, NA, 2, 2, 2, NA, 2, 3, NA, NA,...
$ STAFHELP15          <dbl> 2, 2, 2, 2, 2, 2, 2, NA, 2, 2, 1, 2, 2, ...
$ STAF15              <dbl> 2, 2, 2, 2, 2, 2, 3, NA, 2, 2, NA, 2, 2,...
$ SWORKCOME15         <dbl> 2, 2, 2, 2, 2, 2, 3, NA, 2, 2, NA, NA, 2...
$ TRANSPORT15         <dbl> 2, 2, 2, 2, 2, 2, 2, NA, 2, 2, 1, 2, 2, ...
$ GETPLACES15         <dbl> 2, 2, NA, 2, 2, 2, 2, NA, 2, 2, NA, NA, ...
$ GOODLIFE15          <dbl> 2, 2, 3, 2, 2, 2, 2, NA, 2, 2, NA, NA, 2...
$ SURVEYORSECI        <dbl> 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 1, 1, 2, 2...
$ R_SHOPPING15        <dbl> 1, 1, 3, 1, 3, 1, 2, 2, 2, 1, 3, 3, 3, 3...
$ SHOPPING15          <dbl> 4, 2, 3, 2, 4, 2, 3, 2, 3, 4, 4, 4, 3, 3...
$ SHOPNA              <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ SHOPALONE           <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ SHOPFRND            <dbl> 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 1...
$ SHOPFAM             <dbl> 2, 1, 1, 1, 2, 1, 2, 1, 2, 2, 1, 1, 2, 1...
$ SHOPHM11            <dbl> 2, 1, 2, 1, 2, 1, 1, 1, 1, 1, 2, 2, 2, 1...
$ SHOPSTAFF           <dbl> 2, 2, 2, 1, 2, 2, 1, 2, 1, 2, 2, 2, 2, 2...
$ SHOPOTH             <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ SHOPDKNOW           <dbl> 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ R_ERRANDS15         <dbl> 1, 1, 3, 1, 3, 1, 2, 2, 2, 2, 3, 3, 3, 3...
$ ERRANDS15           <dbl> 2, 2, 3, NA, 4, 2, 3, 2, 3, 2, 2, 4, 4, ...
$ ERRANDSNA           <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ ERRALONE            <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1...
$ ERRFRND             <dbl> 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1...
$ ERRFAM              <dbl> 1, 1, 1, 1, 1, 1, 2, 1, 2, 2, 1, 1, 2, 1...
$ ERRHM11             <dbl> 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 2, 2, 2, 1...
$ ERRSTAFF            <dbl> 2, 2, 2, 1, 2, 2, 1, 2, 1, 2, 2, 2, 2, 2...
$ ERROTH              <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ ERRDKNOW            <dbl> 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ R_COMMGROUP16       <dbl> 1, 1, 3, 1, 1, 1, 2, 2, 2, 2, 3, 3, 1, 3...
$ COMMGROUP16         <dbl> 2, 1, 1, NA, 1, 1, 2, 2, 1, 2, 1, 2, 1, ...
$ COMMGROUPNA         <dbl> 1, 2, 2, 1, 2, 2, 1, 1, 2, 1, 2, 1, 2, 1...
$ COMMGROUPALONE      <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ COMMGROUPFRND       <dbl> 2, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 2, 1, 1...
$ COMMGROUPFAM        <dbl> 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ COMMGROUPHMCW       <dbl> 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1...
$ COMMGROUPSTAF       <dbl> 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, 2...
$ COMMGROUPOTH        <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ COMMGROUPDKNRUR     <dbl> 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ R_ENTERTAIN15       <dbl> 1, 1, 3, 1, 3, 1, 1, 2, 2, 2, 3, 3, 1, 3...
$ ENTERTAIN15         <dbl> 4, 4, 2, 2, 2, 2, 2, 3, 2, 2, 3, 3, 4, 2...
$ ENTNA               <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ ENTALONE            <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ ENTFRND             <dbl> 2, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 1...
$ ENTFAM              <dbl> 2, 1, 1, 1, 1, 1, 2, 1, 2, 2, 1, 1, 2, 1...
$ ENTHM11             <dbl> 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 2, 1, 2, 1...
$ ENTSTAFF            <dbl> 2, 2, 2, 1, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2...
$ ENTOTH              <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ ENTDKNOW            <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ R_EATOUT15          <dbl> 1, 1, 3, 1, 3, 1, 1, 2, 2, 1, 3, 3, 3, 3...
$ EATOUT15            <dbl> 4, 2, 2, 2, 4, 2, 4, 2, 3, 3, 4, 4, 4, 2...
$ EATNA               <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ EATALONE            <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1...
$ EATFRND             <dbl> 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ EATFAM              <dbl> 2, 1, 1, 1, 2, 1, 2, 1, 2, 2, 1, 2, 2, 1...
$ EATHM11             <dbl> 2, 2, 2, 2, 2, 1, 1, 2, 1, 1, 2, 2, 2, 1...
$ EATSTAFF            <dbl> 2, 2, 2, 1, 2, 2, 1, 1, 1, 2, 2, 2, 2, 2...
$ EATOTH              <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ EATDKNOW            <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ R_RELIGION15        <dbl> 1, 1, 1, 1, 3, 1, 1, 2, 2, 2, 1, 3, 1, 1...
$ RELIGION15          <dbl> 2, 1, 1, NA, 1, 4, 2, 1, 1, 1, 2, 1, 1, ...
$ RELNA               <dbl> 1, 2, 2, 1, 2, 1, 1, 2, 2, 2, 1, 2, 2, 2...
$ RELALONE            <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ RELFRND             <dbl> 2, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1...
$ RELFAM              <dbl> 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ RELHM11             <dbl> 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1...
$ RELSTAFF            <dbl> 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1...
$ RELOTH              <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ RELDKNOW            <dbl> 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ R_VACATION15        <dbl> 1, 1, 1, 1, 3, 1, 1, 2, 1, 1, 1, 1, 1, 3...
$ VACATION15          <dbl> 2, 1, 2, 2, 1, 2, 2, 1, 2, 1, 2, 2, 2, 1...
$ VACANA              <dbl> 1, 2, 1, 1, 2, 1, 1, 2, 1, 2, 1, 1, 1, 2...
$ VACAALONE           <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ VACAFRND            <dbl> 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1...
$ VACAFAM             <dbl> 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1...
$ VACAHM11            <dbl> 1, 1, 2, 2, 1, 2, 1, 1, 1, 1, 2, 1, 2, 1...
$ VACASTAFF           <dbl> 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 2, 2, 2, 1...
$ VACAOTH             <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ VACADKNOW           <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ R_CHOSHOME15        <dbl> 1, 1, 3, 3, 3, 1, NA, 2, NA, NA, 1, 3, 1...
$ CHOSHOME15          <dbl> 3, 3, 3, 3, 3, 2, NA, 1, NA, NA, 2, 3, 2...
$ R_HOUSEMATES15      <dbl> 1, 1, 3, 3, 3, 1, NA, 2, NA, NA, 1, 3, 1...
$ HOUSEMATES15        <dbl> 3, 1, 1, 2, 1, 1, NA, 3, NA, NA, NA, 3, ...
$ R_SCHEDULE15        <dbl> 1, 1, 1, 1, 3, 1, 1, 2, 1, 1, 3, 3, 1, 3...
$ SCHEDULE15          <dbl> 2, 2, 2, 3, 2, 2, 2, 1, 3, 3, NA, 2, 2, ...
$ R_FREETIME15        <dbl> 1, 1, 3, 1, 1, 1, 1, 2, 1, 1, 3, 3, 1, 3...
$ FREETIME15          <dbl> 2, 2, 2, 3, 2, 2, 2, 2, 3, 2, NA, 3, 2, ...
$ R_CHOSJOB15         <dbl> 1, 1, NA, 1, 1, 1, 1, 2, 1, 1, NA, 3, 1,...
$ CHOSJOB15           <dbl> 3, 3, NA, NA, NA, 3, 3, NA, 3, NA, NA, 2...
$ R_CHOOSDAY15        <dbl> 1, 1, 3, 1, 3, 1, 1, 2, 1, 1, 1, 3, NA, ...
$ CHOOSDAY15          <dbl> 3, 3, 3, NA, 3, 1, NA, 1, 3, 2, 2, 3, NA...
$ CHOOSBUY15          <dbl> 2, 3, 2, 3, 3, 2, 3, 1, 3, 2, 2, 2, 2, 1...
$ R_CHANGECM16        <dbl> 1, 1, 1, 1, 1, NA, 2, 2, 1, 1, 3, 1, 1, ...
$ CHANGECM16          <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, NA, 2, 1, 2, ...
$ R_CHOOSSTAF15       <dbl> 1, 1, 1, 3, 3, 1, 1, 2, 1, 1, 1, 3, 1, 3...
$ CHOOSSTAF15         <dbl> 3, 1, 1, 3, 1, 1, 3, 3, 1, NA, 2, 2, 3, ...
$ R_KEY16             <dbl> 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 3, 3, 1, 3...
$ KEY16               <dbl> 1, 2, 1, 2, 1, 1, 2, 1, 2, 1, 1, 2, 2, 1...
$ R_LOCK15            <dbl> 1, 1, 1, 1, 3, 1, 1, 2, 1, 2, 3, 3, 1, 3...
$ LOCK15              <dbl> 2, 2, 2, 3, 2, 2, 2, 1, 2, 1, 2, 2, 2, 2...
$ R_SELFADVO15        <dbl> 1, 1, 3, 1, 1, 1, 2, 2, 2, 2, 1, 3, 1, 3...
$ SELFADVO15          <dbl> 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, NA, NA, 1,...
$ R_VOTE15            <dbl> 1, 1, 3, 1, 3, 1, 2, 2, 1, 2, 1, 3, 1, 1...
$ VOTE15              <dbl> 2, 1, 2, 2, 3, 2, 2, 1, 2, 1, NA, 3, 2, ...
$ R_ADDSERVED15       <dbl> 1, 1, 1, 1, 3, 1, 2, 2, 2, 2, 3, 3, 3, N...
$ ADDSERVEDNA         <dbl> 1, 2, 1, NA, 2, 2, 2, 1, 1, 2, 2, 2, 2, ...
$ ADDSERVEDSCCM       <dbl> 1, 1, 1, NA, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
$ ADDSERVEDRESFAM     <dbl> 1, 1, 1, NA, 1, 1, 1, 1, 2, 1, 1, 1, 1, ...
$ ADDSERVEDTR         <dbl> 1, 1, 1, NA, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
$ ADDSERVEDJOBS13     <dbl> 1, 1, 1, NA, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
$ ADDSERVEDDAY        <dbl> 1, 1, 1, NA, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
$ ADDSERVEDEDU        <dbl> 1, 1, 1, NA, 1, 1, 1, 1, 2, 1, 1, 1, 1, ...
$ ADDSERVEDHC         <dbl> 1, 1, 1, NA, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
$ ADDSERVEDDC13       <dbl> 1, 1, 2, NA, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
$ ADDSERVEDHOUS       <dbl> 1, 1, 2, NA, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
$ ADDSERVEDRES        <dbl> 1, 1, 1, NA, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
$ ADDSERVEDSOC        <dbl> 1, 1, 2, NA, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
$ ADDSERVEDCOMM       <dbl> 2, 1, 1, NA, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
$ ADDSERVEDENV        <dbl> 1, 1, 1, NA, 1, 1, 1, 2, 1, 1, 1, 1, 1, ...
$ ADDSERVEDBENE       <dbl> 1, 1, 1, NA, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
$ ADDSERVEDOTH        <dbl> 2, 1, 1, NA, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
$ R_STFTRN15          <dbl> 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 3...
$ STFTRN15            <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, NA, 1, 2, ...
$ R_HEALTH13          <dbl> 1, 1, 1, 1, 3, 1, 2, 2, 1, 2, 3, 3, 1, 1...
$ HEALTH13            <dbl> 1, 2, 2, 2, 3, 2, 2, 3, 2, 3, 2, 4, 2, 2...
$ R_PHYSACT17         <dbl> NA, 1, 1, 1, 3, 1, 1, 2, 1, 1, 3, 3, 3, ...
$ PHYSACT17           <dbl> 4, 4, 1, 2, 1, 4, 4, 4, 2, NA, 3, 2, 2, ...
$ R_MUSCLEACT         <dbl> 1, 1, 1, 1, 3, 1, 1, 2, 1, 2, 3, 3, 1, 3...
$ MUSCLEACT           <dbl> 1, 2, 1, NA, 1, 4, 1, 2, 2, 1, 1, 1, 2, ...
$ S_II_SDSUPPORTS     <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ R_HIRESTAFF16       <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ HIRESTAFF16         <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ R_CHANGBUDG15       <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ CHANGBUDG15         <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ R_ENUFHELP15        <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ ENUFHELP15          <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ R_ENUFINFO15        <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ ENUFINFO15          <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ R_INFOUNDERST15     <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ INFOUNDERST15       <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ R_HOWOFTENINFO16    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ HOWOFTENINFO16      <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ SEC2INDIV           <dbl> 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2...
$ SEC2ADVO            <dbl> 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1...
$ SEC2HMST            <dbl> 1, 1, 2, 2, 2, 1, 1, 1, 1, 2, 2, 2, 2, 2...
$ SEC2DYST            <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ SEC2OTHR            <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ INTHOURS            <dbl> 1, NA, NA, 0, 1, 1, 1, NA, 1, 0, NA, 1, ...
$ INTMIN              <dbl> 0, 35, 30, 30, 10, 0, 10, 40, 5, 45, 40,...
$ TOTHRS              <dbl> 4, NA, 1, 2, 4, 2, 2, 3, 0, 4, 3, 4, 4, ...
$ TOTMIN              <dbl> 0, 50, 30, 15, 0, 45, 55, 15, 45, 0, 50,...
$ PROBQUES            <dbl> 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ PQPROB2_NUM         <dbl> 12, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ PQPROB3_NUM         <dbl> 15, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ ILANGUAGE           <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ ILANGUAGE_SPECIFY   <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ IHELD_1             <dbl> 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2...
$ IHELD_2             <dbl> 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1...
$ IHELD_3             <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ IHELD_4             <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ IHELD_5             <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ ITITLE_1            <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ ITITLE_2            <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ ITITLE_3            <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2...
$ ITITLE_4            <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ ITITLE_5            <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ ITITLE_6            <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ ITITLE_7            <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ ITITLE_8            <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ ITITLE_SPECIFY      <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ IKNOW               <dbl> 2, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ IAMOUNT             <dbl> 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ IDATE               <date> 2018-02-08, 2018-05-15, 2017-12-01, 201...
$ IADMINPA            <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2...
$ IADMINWIFI          <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ IADMINOTH           <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
$ IADMIN_SPECIFY      <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ IHOWRESPOND17       <dbl> 1, 1, 2, 1, 2, 1, 2, NA, 2, 2, 3, 2, 2, ...
$ age                 <dbl> 56, 36, 51, 61, 39, 27, 45, 41, 23, 30, ...
$ TYPEHOME18          <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ ALONEGST18          <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ CHOOSBUY18          <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ PCP_CANSTAY         <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ alonegst15_rec      <dbl> 2, 2, 2, 2, 1, 2, 2, NA, 1, 2, 1, NA, 2,...
$ alonegst18_rec      <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
$ alonegst            <dbl> 2, 2, 2, 2, 1, 2, 2, NA, 1, 2, 1, NA, 2,...
$ typehome16_rec      <dbl> 7, 7, 6, 7, 7, 7, 10, 7, 10, 10, 7, 6, 7...
$ typehome18_rec      <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
$ typehome            <dbl> 7, 7, 6, 7, 7, 7, 10, 7, 10, 10, 7, 6, 7...
$ mailopen_rec        <dbl> 2, 2, 2, 2, 2, 2, 2, NA, NA, 2, 1, NA, 2...
$ visitrules_rec      <dbl> 2, 2, NA, 2, 1, 2, 1, NA, 1, 1, 2, NA, 2...
$ key_rec             <dbl> 2, 1, 2, 1, 2, 2, 1, 2, 1, 2, 2, 1, 1, 2...
$ lock_rec            <dbl> 1, 1, 1, 2, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1...
$ SELFADVO_rec        <dbl> 2, 2, 2, 1, 1, 2, 2, 2, 2, 2, NA, NA, 2,...
$ amerin              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
$ asian               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
$ hawaiian            <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
$ latino              <dbl> 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0...
$ other               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
$ dunno               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
$ white               <dbl> 2, 0, 0, 2, 2, 0, 2, 2, 2, 0, 0, 2, 2, 2...
$ black               <dbl> 0, 3, 3, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0...
$ poc_nonblack        <dbl> 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0...
$ poc_dummy           <dbl> 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0...
$ race_triad          <dbl> 2, 3, 3, 3, 2, 1, 2, 2, 2, 1, 3, 2, 2, 2...
$ race_dummy          <dbl> 2, 3, 3, 3, 2, 1, 2, 2, 2, 1, 3, 2, 2, 2...
$ age_cat             <dbl> 3, 2, 3, 4, 2, 1, 3, 2, 1, 2, 4, 4, 3, 4...
$ vote_rec            <dbl> 2, 1, 2, 2, 2, 2, 2, 1, 2, 1, NA, 2, 2, ...
$ lonely_rec          <dbl> 1, 2, 2, 1, 1, 1, 1, NA, 1, 1, 2, 2, 1, ...
$ friends_rec         <dbl> 2, 2, 1, 2, 2, 2, 1, NA, 1, 2, 2, 2, 2, ...
$ family_rec          <dbl> 2, 1, 1, 2, 2, 1, 2, NA, 2, 2, 2, 2, 2, ...
$ comm_dic            <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1...
$ mobility_ind        <dbl> 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1...
$ mobility_aid        <dbl> 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0...
$ mobility_assist     <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
$ ID_mild             <dbl> 1, 1, 0, 0, 0, 1, 1, 0, NA, 0, 0, 1, 1, ...
$ ID_mod              <dbl> 0, 0, 1, 1, 1, 0, 0, 0, NA, 1, 0, 0, 0, ...
$ ID_sev              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, NA, 0, 0, 0, 0, ...
$ ID_pro              <dbl> 0, 0, 0, 0, 0, 0, 0, 1, NA, 0, 0, 0, 0, ...
$ ID_unknown          <dbl> 0, 0, 0, 0, 0, 0, 0, 0, NA, 0, 1, 0, 0, ...
$ guardian_dic        <dbl> 2, 1, 1, 1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1...
$ region              <dbl> 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, NA, 4, 4, ...
$ disbeh_rec          <dbl> 2, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2...
$ selfinj_rec         <dbl> 2, 1, 1, 2, 1, 1, 1, 2, 1, 2, 2, 1, 1, 1...
$ destbeh_rec         <dbl> 1, 1, 2, 2, 1, 2, 1, 2, 2, 2, 1, 2, 2, 1...
$ seefrnds_rec        <dbl> 2, 2, NA, 2, 2, 2, 2, NA, 2, 2, 2, NA, 2...
$ goout_rec           <dbl> 2, 2, 2, 2, 2, 2, 2, NA, 2, 2, 2, 2, 2, ...
$ transport_rec       <dbl> 2, 2, 2, 2, 2, 2, 2, NA, 2, 2, 1, 2, 2, ...
$ getplaces_rec       <dbl> 2, 2, NA, 2, 2, 2, 2, NA, 2, 2, NA, NA, ...
$ shopping_rec        <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2...
$ errands_rec         <dbl> 2, 2, 2, NA, 2, 2, 2, 2, 2, 2, 2, 2, 2, ...
$ entertain_rec       <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2...
$ eatout_rec          <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2...
$ religion_rec        <dbl> 2, 1, 1, NA, 1, 2, 2, 1, 1, 1, 2, 1, 1, ...
$ choshome_rec        <dbl> 2, 2, 2, 2, 2, 2, NA, 1, NA, NA, 2, 2, 2...
$ housemates_rec      <dbl> 2, 1, 1, 2, 1, 1, NA, 2, NA, NA, NA, 2, ...
$ schedule_rec        <dbl> 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, NA, 2, 2, ...
$ freetime_rec        <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, NA, 2, 2, ...
$ chosjob_rec         <dbl> 2, 2, NA, NA, NA, 2, 2, NA, 2, NA, NA, 2...
$ choosday_rec        <dbl> 2, 2, 2, NA, 2, 1, NA, 1, 2, 2, 2, 2, NA...
$ choosstaf_rec       <dbl> 2, 1, 1, 2, 1, 1, 2, 2, 1, NA, 2, 2, 2, ...
$ choosbuy15_rec      <dbl> 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1...
$ choosbuy18_rec      <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
$ choosbuy_rec        <dbl> 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1...
$ typehome_cat        <dbl> 3, 3, 2, 3, 3, 3, 6, 3, 6, 6, 3, 2, 3, 3...
$ metro_dic           <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, NA, 2, 2, ...
$ id_level            <dbl> 1, 1, 2, 2, 2, 1, 1, 4, NA, 2, NA, 1, 1,...
$ express_dic         <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1...
$ lglstat_rec         <dbl> 2, 1, 1, 1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1...
$ hasfrnds_rec        <dbl> 2, 2, 1, 2, 2, 2, 1, NA, 1, 2, 2, 2, 2, ...
$ seefamly_rec        <dbl> 2, 1, 1, 2, 2, 1, 2, NA, 2, 2, 2, 2, 2, ...