#Cargamos la base de datos:
setwd("C:/Users/MICHELLE/OneDrive/Escritorio/Rstudio_prac") #fijando directorio
#install.packages("tidyverse")
library(tidyverse)## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ──
## ✔ ggplot2 3.3.6 ✔ purrr 0.3.4
## ✔ tibble 3.1.8 ✔ dplyr 1.0.10
## ✔ tidyr 1.2.1 ✔ stringr 1.4.1
## ✔ readr 2.1.2 ✔ forcats 0.5.2
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()library(readxl)
data1 <- read_xlsx("C:/Users/MICHELLE/OneDrive/Escritorio/Rstudio_prac/Data para analizar con R.xlsx")
glimpse(data1)## Rows: 406
## Columns: 484
## $ CountryOfAsylum <chr> "Chile", "Chile", "Chile", "Chile", "…
## $ MonitoringDate <dttm> 2021-06-03, 2021-05-30, 2021-05-26, …
## $ shortCBI <chr> "yesshort", "full", "full", "full", "…
## $ remoteorinperson <chr> "byphone", "byphone", "byphone", "byp…
## $ stafforpartner <chr> "socio", "socio", "socio", "socio", "…
## $ interviewstat <chr> "complete", "complete", "complete", "…
## $ relocationprog <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ nationality <chr> "venezuela", "venezuela", "venezuela"…
## $ crossedborder <chr> "yes", "yes", "yes", "yes", "yes", "y…
## $ leftresidence <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ notsafehere <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ DepartureDate <chr> NA, "2019", "2019", "2017 or earlier"…
## $ ArriveThiscountry <chr> NA, "2020", "2019", "2017 or earlier"…
## $ TransportMethod_boat <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ TransportMethod_bus <dbl> 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ TransportMethod_car <dbl> 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ TransportMethod_hitchHiking <dbl> 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ TransportMethod_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ TransportMethod_plane <dbl> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0…
## $ TransportMethod_taxi <dbl> 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0…
## $ TransportMethod_walk <dbl> 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1…
## $ TransitCountries_Argentina <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ TransitCountries_Bolivia <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0…
## $ TransitCountries_Brazil <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ TransitCountries_Canada <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ TransitCountries_Chile <dbl> 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0…
## $ TransitCountries_Colombia <dbl> 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ TransitCountries_Cuba <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ TransitCountries_Ecuador <dbl> 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1…
## $ TransitCountries_Nicaragua <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ TransitCountries_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ TransitCountries_Panama <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ TransitCountries_Paraguay <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ TransitCountries_Peru <dbl> 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1…
## $ TransitCountries_Uruguay <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ TransitCountries_Venezuela <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0…
## $ intentionmove <chr> "stay", "stay", "stay", "relocate", "…
## $ stayhowlong <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ Intention <chr> NA, NA, NA, "othercountry", NA, NA, N…
## $ reasonsreturn_discrim <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ reasonsreturn_familyleft <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0…
## $ reasonsreturn_houseloss <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ reasonsreturn_jobloss <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ reasonsreturn_nodocs <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ reasonsreturn_nomeds <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ reasonsreturn_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ reasonsreturn_violence <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ intentionspctr <chr> NA, NA, NA, "Mexico", NA, NA, NA, NA,…
## $ groupsize <dbl> 5, NA, 3, 1, 1, 4, 3, 1, 8, 5, 2, 4, …
## $ TotalAdult <dbl> 3, NA, 2, 1, 1, 3, 3, 1, 6, 3, 2, 2, …
## $ TotalAdultFemale <dbl> 1, 2, 1, 1, 1, 2, NA, 1, 4, 2, 1, 1, …
## $ TotalAdultMale <dbl> 2, 2, 1, 0, 0, 1, 1, 0, 2, 1, 1, 1, 1…
## $ TotalMinor <dbl> 2, NA, 1, 0, 0, 1, 0, 0, 2, 2, 0, 2, …
## $ TotalMinorFemale <dbl> 2, 0, 0, NA, NA, 1, NA, NA, 1, 2, NA,…
## $ TotalMinorMale <dbl> 0, 3, 1, NA, NA, 0, NA, NA, 1, 0, NA,…
## $ Childinschool <chr> NA, "yes", "yes", NA, NA, NA, NA, NA,…
## $ Childvirtualed <chr> NA, "no", "yes", NA, NA, NA, NA, NA, …
## $ Childwhynotschool_childwork <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ Childwhynotschool_disability <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ Childwhynotschool_discrimethnic <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ Childwhynotschool_discrimnation <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ Childwhynotschool_disease <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ Childwhynotschool_failedschool <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ Childwhynotschool_fearschool <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ Childwhynotschool_finished <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ Childwhynotschool_helphome <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ Childwhynotschool_intransit <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ Childwhynotschool_nodocs <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ Childwhynotschool_noinfo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ Childwhynotschool_nointerest <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ Childwhynotschool_nolanguage <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ Childwhynotschool_nomoney <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ Childwhynotschool_noschools <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ Childwhynotschool_nospot <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ Childwhynotschool_notransport <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ Childwhynotschool_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ Childwhynotschool_pregnancy <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ Childwhynotschool_recentlyarrive <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ Childwhynotschool_toolate <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ childbirthreg <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ SpecificNeeds_none <dbl> NA, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, …
## $ ethnicity <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ disabilityacc_disabilityserv <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ disabilityacc_docacc <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ disabilityacc_houselimit <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ disabilityacc_none <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ disabilityacc_privins <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ disabilityacc_publicins <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ disabilityacc_pubspaces <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ disabilityacc_transport <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ disabilityacc_worklimit <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ FamiliyLeft <chr> NA, "no", "no", "yes", "yes", "yes", …
## $ householdLeftbehind <dbl> NA, NA, NA, 2, 4, 2, 1, NA, 4, 5, 5, …
## $ reasons_stayed_border_close <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ reasons_stayed_care_property <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ reasons_stayed_caring_dependant <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1…
## $ reasons_stayed_continued <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ reasons_stayed_dont_know <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ reasons_stayed_health_prob <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1…
## $ reasons_stayed_lack_docs <dbl> 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0…
## $ reasons_stayed_lack_funds <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0…
## $ reasons_stayed_notell <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ reasons_stayed_old_age <dbl> 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1…
## $ reasons_stayed_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ reasons_stayed_returned <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ reasons_stayed_security <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0…
## $ reasons_stayed_stayed <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ reasons_stayed_othercountry <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ reasons_stayed_work_study <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ minorsleft <chr> NA, NA, NA, "no", "no", "no", "no", N…
## $ prevdeport_none <dbl> 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1…
## $ prevdeport_yesdeport <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ prevdeport_yesForcedreturn <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ prevdeport_yesRefusedentry <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0…
## $ deportCountry_Argentina <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ deportCountry_Bolivia <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0…
## $ deportCountry_Brazil <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ deportCountry_Chile <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0…
## $ deportCountry_Colombia <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0…
## $ deportCountry_CostaRica <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ deportCountry_Cuba <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ deportCountry_Curacao <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ deportCountry_Ecuador <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0…
## $ deportCountry_Guatemala <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ deportCountry_Honduras <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ deportCountry_Mexico <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ deportCountry_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ deportCountry_Panama <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ deportCountry_Peru <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0…
## $ deportCountry_Suriname <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ deportCountry_USA <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ deportCountry_Venezuela <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0…
## $ RouteIncident <chr> NA, "yes", "yes", "no", "yes", "no", …
## $ RouteIncidentType_abduction <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1…
## $ RouteIncidentType_arrest <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentType_bribery <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1…
## $ RouteIncidentType_confine <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentType_deportation <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentType_despojo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentType_destructProp <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentType_displaced <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentType_eviction <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentType_evictionthreat <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentType_Exploitsex <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentType_Exploitwork <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentType_ForceDisappear <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentType_ForcedRecruit <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentType_fraud <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentType_homicide <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentType_notell <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentType_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0…
## $ RouteIncidentType_physAssault <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1…
## $ RouteIncidentType_sexualAssault <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0…
## $ RouteIncidentType_theft <dbl> 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0…
## $ RouteIncidentType_threat <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1…
## $ RouteIncidentType_torture <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentnotdisplaced <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ RouteIncidentTypenodisp_abduct <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentTypenodisp_arrest <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentTypenodisp_bribery <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentTypenodisp_deportat <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentTypenodisp_destrPro <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentTypenodisp_eviction <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentTypenodisp_evicthr <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentTypenodisp_Explsex <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentTypenodisp_Explwork <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentTypenodisp_fraud <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentTypenodisp_homicide <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentTypenodisp_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentTypenodisp_physAss <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentTypenodisp_sexAss <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentTypenodisp_theft <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RouteIncidentTypenodisp_threat <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ homicide_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ homicide_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ homicide_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ homicide_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ physicalAssault_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ physicalAssault_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ physicalAssault_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ physicalAssault_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1…
## $ sexualAssault_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ sexualAssault_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ sexualAssault_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ sexualAssault_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0…
## $ abductionORkidnapping_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ abductionORkidnapping_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ abductionORkidnapping_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ abductionORkidnapping_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1…
## $ exploitationsex_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ exploitationsex_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ exploitationsex_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ exploitationwork_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ exploitationwork_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ exploitationwork_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ exploitationwork_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ arrestORdetention_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ arrestORdetention_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ arrestORdetention_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ arrestORdetention_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ threat_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ threat_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ threat_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ threat_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1…
## $ fraud_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ fraud_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ fraud_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ fraud_trip <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0…
## $ theft_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ theft_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ theft_othercity <dbl> 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0…
## $ theft_preferNot <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ theft_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0…
## $ eviction_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ eviction_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ eviction_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ eviction_preferNot <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ eviction_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ evictionthreat_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ evictionthreat_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ evictionthreat_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ evictionthreat_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ deportation_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ deportation_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ deportation_preferNot <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ deportation_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ destructionProperty_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ destructionProperty_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ destructionProperty_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ destructionProperty_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ dispossetion_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ dispossetion_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ dispossetion_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ dispossetion_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ forceddisplaced_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ forceddisplaced_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ forceddisplaced_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ forceddisplaced_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ confined_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ confined_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ confined_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RiskYes <chr> NA, "Agree", "Undecided", "Agree", "A…
## $ RiskReturn_armedgroup <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1…
## $ RiskReturn_assaulted <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0…
## $ RiskReturn_extorsion <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1…
## $ RiskReturn_healthrisk <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0…
## $ RiskReturn_insecurity <dbl> 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0…
## $ RiskReturn_lackfood <dbl> 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0…
## $ RiskReturn_medical <dbl> 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0…
## $ RiskReturn_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RiskReturn_recruited <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0…
## $ RiskReturn_riskPreferNot <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RiskReturn_subsistence <dbl> 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0…
## $ RiskReturn_threat <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RiskReturn_violence <dbl> 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1…
## $ RiskYesStay <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ RiskStay_armedgroup <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RiskStay_assaulted <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RiskStay_extorsion <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RiskStay_healthrisk <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RiskStay_insecurity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RiskStay_lackfood <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RiskStay_medical <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RiskStay_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RiskStay_recruited <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RiskStay_subsistence <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RiskStay_threat <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RiskStay_violence <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ documentation_birthcertif <dbl> 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1…
## $ documentation_id <dbl> 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1…
## $ documentation_idexp <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ documentation_none <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ documentation_notell <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ documentation_other <dbl> 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ documentation_passport <dbl> 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1…
## $ documentation_passportexp <dbl> 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0…
## $ RegularEntry <chr> NA, "no", "yes", "yes", "no", "yes", …
## $ AppliedRefugee <chr> NA, "yes", "no", "no", "no", NA, "no"…
## $ Appliedrejected <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ AppliedRefugeeIDP <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ NotAsylum_costs <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ NotAsylum_distance <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ NotAsylum_lack_of_docume <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ NotAsylum_lack_of_inform <dbl> 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0…
## $ NotAsylum_lack_time <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ NotAsylum_not_allowed_in <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ NotAsylum_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0…
## $ docResidence <chr> "irregular", "irregular", "visareside…
## $ medicalAttention <chr> NA, "yes", "yes", "yes", "couldnotgo"…
## $ medicalType_center <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0…
## $ medicalType_clinic <dbl> 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0…
## $ medicalType_hospital <dbl> 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0…
## $ medicalType_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ medicalReceived <chr> NA, "Agree", "Agree", "Agree", NA, "S…
## $ whynotMedical_denied <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0…
## $ whynotMedical_distance <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ whynotMedical_feararrested <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ whynotMedical_noID <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0…
## $ whynotMedical_noinfo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ whynotMedical_noinsurance <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ whynotMedical_nomoney <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ whynotMedical_notavailable <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ whynotMedical_other <dbl> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0…
## $ mentalhealthsymp_couple <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ mentalhealthsymp_famfriend <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ mentalhealthsymp_ngos <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ mentalhealthsymp_none <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ mentalhealthsymp_noOne <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ mentalhealthsymp_notell <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ mentalhealthsymp_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ mentalhealthsymp_religious <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ mentalhealthsymp_stateresource <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ mentalhealthsymp_unorgs <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ pressneeds <chr> "docs", "docs", "none", "none", "cope…
## $ ConsentScore <chr> "yes", "yes", "yes", "yes", "yes", "y…
## $ housingtype <chr> "Rental", "Owned", "RoomRent", "other…
## $ water <chr> "TapNetLess2", "PipedPlot", "TapNetMo…
## $ bathroom <chr> "Private_toilet", "Private_toilet", "…
## $ electricity <chr> "yes", "yes", "yes", "yes", "yes", "y…
## $ mealsperday <chr> "threeOrmore", "threeOrmore", "threeO…
## $ AbleBodied <dbl> 3, 5, 2, 1, 1, 2, 3, 1, 6, 3, 2, 2, 3…
## $ dependencyRatio <chr> "0.6", "0.714285714", "0.666666667", …
## $ dependencyCategory <chr> "low", "low", "low", "low", "low", "a…
## $ jobbefore <chr> NA, "services", "services", "independ…
## $ jobafter <chr> NA, "informal", "informal", "formal",…
## $ employmentOpp <chr> "twothree", "twothree", "fivesix", "a…
## $ incomesoles <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ headof <chr> "other", "other", "other", "yes", "ye…
## $ ageRange <chr> NA, NA, NA, "36-59", "36-59", NA, NA,…
## $ Sex <chr> NA, NA, NA, "female", "female", NA, N…
## $ maritalStatus <chr> NA, NA, NA, NA, "other", NA, NA, "sin…
## $ ageRangeother <chr> "22-35", "36-59", "36-59", NA, NA, "3…
## $ Sexother <chr> "male", "male", "male", NA, NA, "male…
## $ maritalStatusother <chr> "married", "married", "married", NA, …
## $ SocialBenefit_communities <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ SocialBenefit_gvt <dbl> 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0…
## $ SocialBenefit_ngo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ SocialBenefit_none <dbl> 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1…
## $ SocialBenefit_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ SocialBenefit_religious <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ SocialBenefitType_cash <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ SocialBenefitType_education <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ SocialBenefitType_foodbag <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ SocialBenefitType_foodcard <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ SocialBenefitType_foodkit <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ SocialBenefitType_foodration <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ SocialBenefitType_housing <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ SocialBenefitType_hygiene <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ SocialBenefitType_livelihood <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ SocialBenefitType_med <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ SocialBenefitType_medical <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ SocialBenefitType_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ SocialBenefitType_pss <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ SocialBenefitType_psych <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ SocialBenefitType_relocate <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ SocialBenefitGov_auxdoenca <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ SocialBenefitGov_auxilio <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ SocialBenefitGov_bolsa <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ SocialBenefitGov_BPC <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ SocialBenefitGov_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ CopingMechanism1_aidAgency <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1…
## $ CopingMechanism1_aidHost <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1…
## $ CopingMechanism1_borrowMoney <dbl> 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0…
## $ CopingMechanism1_changedShelter <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ CopingMechanism1_familySupport <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ CopingMechanism1_limitAdultFood <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0…
## $ CopingMechanism1_none <dbl> 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0…
## $ CopingMechanism1_notell <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ CopingMechanism1_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ CopingMechanism1_reducedFood <dbl> 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1…
## $ CopingMechanism1_reduceExp <dbl> 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1…
## $ CopingMechanism1_sellAssets <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0…
## $ CopingMechanism1_skippedRent <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1…
## $ CopingMechanism1_useSavings <dbl> 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0…
## $ CopingMechanism1_workFood <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1…
## $ CopingMechanism2_beg <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ CopingMechanism2_childmarriage <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ CopingMechanism2_foodscrap <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ CopingMechanism2_none <dbl> 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1…
## $ CopingMechanism2_notell <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ CopingMechanism2_other <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0…
## $ CopingMechanism2_sendchild <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ CopingMechanism2_survivalsex <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ CopingMechanism2_workchild <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ FeelSafe <chr> "Agree", "StronglyDisagree", "Agree",…
## $ Isolation <chr> "Disagree", "StronglyAgree", "Disagre…
## $ IsoltaionPTA <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ Discriminated <chr> "Disagree", "Disagree", "Disagree", "…
## $ DiscriminatedPTA <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ DiscriminatedReasons_age <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ DiscriminatedReasons_disability <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ DiscriminatedReasons_ethnictiy <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ DiscriminatedReasons_female <dbl> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0…
## $ DiscriminatedReasons_gender <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ DiscriminatedReasons_male <dbl> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0…
## $ DiscriminatedReasons_nationality <dbl> 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0…
## $ DiscriminatedReasons_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ DiscriminatedReasons_religion <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ Interaction <chr> "positive", "positive", "positive", "…
## $ InteractionPTA <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ communication <chr> "veryeasy", "verydifficult", "easy", …
## $ covidimpact_amenaza <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ covidimpact_amenazadesa <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ covidimpact_corteserv <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ covidimpact_desalojo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ covidimpact_deuda <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ covidimpact_educlimitada <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ covidimpact_noneimp <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ covidimpact_otherimp <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ covidimpact_saludfisica <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ covidimpact_saludmental1 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ covidimpact_saludmental2 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ riskeviction <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ razon_riesgo_autoridades <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ razon_riesgo_no_pago <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ razon_riesgo_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ razon_riesgo_propietarioa <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ razon_riesgo_vencio_plazo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ measure_acuerdoarren <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ measure_asistlegal <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ measure_extension <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ measure_mudarhost <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ measure_mudartemp <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ measure_nonem <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ measure_otherm <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ measure_prestamo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ measure_regresopai <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ protarrendatario <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ probconvivencia_cargadomes <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ probconvivencia_conflictos <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ probconvivencia_ninosdif <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ probconvivencia_noseguro <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ probconvivencia_parejadif <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ probconvivencia_sinProblema <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ ViolenciaAumenta <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ RazonViolenciaAumenta_aislamien <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RazonViolenciaAumenta_dependen <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RazonViolenciaAumenta_economi <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RazonViolenciaAumenta_estres <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RazonViolenciaAumenta_justicia <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RazonViolenciaAumenta_otroViol <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RazonViolenciaAumenta_serviciGBV <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ income4basicneeds_actividadeco <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ income4basicneeds_ahorro <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ income4basicneeds_apoyocomm <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ income4basicneeds_apoyohuman <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ income4basicneeds_nosource <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ income4basicneeds_othersource <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ income4basicneeds_remesas <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ income4basicneeds_venderbienes <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ workchanged <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ workchangedhow_aumentoHoras <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ workchangedhow_aumentoTrabajo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ workchangedhow_negocio <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ workchangedhow_otroLaboral <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ timecoverneeds <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ kidscanschool <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ kidscannotschool_noMatCupo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ kidscannotschool_noMatRec <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ kidscannotschool_otroEduc <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ kidscannotschool_sinRecuros <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ kidscanschoolhow_downloadplat <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ kidscanschoolhow_interactplat <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ kidscanschoolhow_materialsdeliv <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ kidscanschoolhow_materialswhats <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ kidscanschoolhow_radioortv <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ internetaccess <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ ICmedicalAttention <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ medicowhat_atenpsicosoc <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ medicowhat_enfercronicas <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ medicowhat_otronoC19 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ medicowhat_prenatalpediatrico <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ medicowhat_pruebaC19 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ medicowhat_tratamientoC19 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RecibioAsistMed <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ RazonFaltaAsistMed_atencionNegad <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RazonFaltaAsistMed_atencionSusp <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RazonFaltaAsistMed_FaltaIF <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RazonFaltaAsistMed_FaltaInfo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RazonFaltaAsistMed_faltaRecursos <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RazonFaltaAsistMed_FaltaSegMed <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ RazonFaltaAsistMed_otroAtMed <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ Weight <dbl> 3.186885e+14, 3.186885e+14, 3.186885e…
## $ ID <dbl> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12…#Cargamos la base de datos:
library(rio)
data=import("Data para analizar con R.xlsx")#Instalar Janitor
#install.packages("janitor")
library(janitor) #para limpieza de data##
## Attaching package: 'janitor'## The following objects are masked from 'package:stats':
##
## chisq.test, fisher.test# Limpiar nombres de columnas
data2 <- clean_names(data1) #limpiar las etiquetas (quitandole comillas, espacios, etc.)
glimpse(data2)## Rows: 406
## Columns: 484
## $ country_of_asylum <chr> "Chile", "Chile", "Chile", "Chile…
## $ monitoring_date <dttm> 2021-06-03, 2021-05-30, 2021-05-…
## $ short_cbi <chr> "yesshort", "full", "full", "full…
## $ remoteorinperson <chr> "byphone", "byphone", "byphone", …
## $ stafforpartner <chr> "socio", "socio", "socio", "socio…
## $ interviewstat <chr> "complete", "complete", "complete…
## $ relocationprog <lgl> NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ nationality <chr> "venezuela", "venezuela", "venezu…
## $ crossedborder <chr> "yes", "yes", "yes", "yes", "yes"…
## $ leftresidence <lgl> NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ notsafehere <lgl> NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ departure_date <chr> NA, "2019", "2019", "2017 or earl…
## $ arrive_thiscountry <chr> NA, "2020", "2019", "2017 or earl…
## $ transport_method_boat <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ transport_method_bus <dbl> 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, …
## $ transport_method_car <dbl> 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, …
## $ transport_method_hitch_hiking <dbl> 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ transport_method_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ transport_method_plane <dbl> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, …
## $ transport_method_taxi <dbl> 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, …
## $ transport_method_walk <dbl> 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, …
## $ transit_countries_argentina <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ transit_countries_bolivia <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, …
## $ transit_countries_brazil <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ transit_countries_canada <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ transit_countries_chile <dbl> 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, …
## $ transit_countries_colombia <dbl> 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, …
## $ transit_countries_cuba <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ transit_countries_ecuador <dbl> 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, …
## $ transit_countries_nicaragua <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ transit_countries_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ transit_countries_panama <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ transit_countries_paraguay <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ transit_countries_peru <dbl> 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, …
## $ transit_countries_uruguay <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ transit_countries_venezuela <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, …
## $ intentionmove <chr> "stay", "stay", "stay", "relocate…
## $ stayhowlong <lgl> NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ intention <chr> NA, NA, NA, "othercountry", NA, N…
## $ reasonsreturn_discrim <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasonsreturn_familyleft <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, …
## $ reasonsreturn_houseloss <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasonsreturn_jobloss <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasonsreturn_nodocs <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasonsreturn_nomeds <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasonsreturn_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasonsreturn_violence <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ intentionspctr <chr> NA, NA, NA, "Mexico", NA, NA, NA,…
## $ groupsize <dbl> 5, NA, 3, 1, 1, 4, 3, 1, 8, 5, 2,…
## $ total_adult <dbl> 3, NA, 2, 1, 1, 3, 3, 1, 6, 3, 2,…
## $ total_adult_female <dbl> 1, 2, 1, 1, 1, 2, NA, 1, 4, 2, 1,…
## $ total_adult_male <dbl> 2, 2, 1, 0, 0, 1, 1, 0, 2, 1, 1, …
## $ total_minor <dbl> 2, NA, 1, 0, 0, 1, 0, 0, 2, 2, 0,…
## $ total_minor_female <dbl> 2, 0, 0, NA, NA, 1, NA, NA, 1, 2,…
## $ total_minor_male <dbl> 0, 3, 1, NA, NA, 0, NA, NA, 1, 0,…
## $ childinschool <chr> NA, "yes", "yes", NA, NA, NA, NA,…
## $ childvirtualed <chr> NA, "no", "yes", NA, NA, NA, NA, …
## $ childwhynotschool_childwork <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_disability <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_discrimethnic <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_discrimnation <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_disease <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_failedschool <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_fearschool <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_finished <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_helphome <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_intransit <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_nodocs <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_noinfo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_nointerest <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_nolanguage <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_nomoney <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_noschools <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_nospot <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_notransport <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_pregnancy <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_recentlyarrive <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_toolate <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childbirthreg <lgl> NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ specific_needs_none <dbl> NA, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0,…
## $ ethnicity <lgl> NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ disabilityacc_disabilityserv <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ disabilityacc_docacc <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ disabilityacc_houselimit <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ disabilityacc_none <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ disabilityacc_privins <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ disabilityacc_publicins <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ disabilityacc_pubspaces <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ disabilityacc_transport <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ disabilityacc_worklimit <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ familiy_left <chr> NA, "no", "no", "yes", "yes", "ye…
## $ household_leftbehind <dbl> NA, NA, NA, 2, 4, 2, 1, NA, 4, 5,…
## $ reasons_stayed_border_close <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasons_stayed_care_property <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasons_stayed_caring_dependant <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasons_stayed_continued <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasons_stayed_dont_know <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasons_stayed_health_prob <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasons_stayed_lack_docs <dbl> 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, …
## $ reasons_stayed_lack_funds <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, …
## $ reasons_stayed_notell <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasons_stayed_old_age <dbl> 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, …
## $ reasons_stayed_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasons_stayed_returned <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasons_stayed_security <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, …
## $ reasons_stayed_stayed <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasons_stayed_othercountry <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasons_stayed_work_study <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ minorsleft <chr> NA, NA, NA, "no", "no", "no", "no…
## $ prevdeport_none <dbl> 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, …
## $ prevdeport_yesdeport <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ prevdeport_yes_forcedreturn <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ prevdeport_yes_refusedentry <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ deport_country_argentina <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deport_country_bolivia <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ deport_country_brazil <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deport_country_chile <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ deport_country_colombia <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ deport_country_costa_rica <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deport_country_cuba <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deport_country_curacao <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deport_country_ecuador <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ deport_country_guatemala <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deport_country_honduras <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deport_country_mexico <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deport_country_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deport_country_panama <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deport_country_peru <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ deport_country_suriname <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deport_country_usa <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deport_country_venezuela <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ route_incident <chr> NA, "yes", "yes", "no", "yes", "n…
## $ route_incident_type_abduction <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_arrest <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_bribery <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_confine <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_deportation <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_despojo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_destruct_prop <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_displaced <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_eviction <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_evictionthreat <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_exploitsex <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_exploitwork <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_force_disappear <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_forced_recruit <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_fraud <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_homicide <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_notell <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_phys_assault <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ route_incident_type_sexual_assault <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, …
## $ route_incident_type_theft <dbl> 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, …
## $ route_incident_type_threat <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ route_incident_type_torture <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incidentnotdisplaced <lgl> NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ route_incident_typenodisp_abduct <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_arrest <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_bribery <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_deportat <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_destr_pro <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_eviction <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_evicthr <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_explsex <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_explwork <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_fraud <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_homicide <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_phys_ass <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_sex_ass <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_theft <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_threat <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ homicide_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ homicide_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ homicide_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ homicide_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ physical_assault_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ physical_assault_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ physical_assault_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ physical_assault_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ sexual_assault_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ sexual_assault_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ sexual_assault_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ sexual_assault_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, …
## $ abduction_o_rkidnapping_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ abduction_o_rkidnapping_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ abduction_o_rkidnapping_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ abduction_o_rkidnapping_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ exploitationsex_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ exploitationsex_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ exploitationsex_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ exploitationwork_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ exploitationwork_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ exploitationwork_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ exploitationwork_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ arrest_o_rdetention_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ arrest_o_rdetention_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ arrest_o_rdetention_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ arrest_o_rdetention_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ threat_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ threat_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ threat_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ threat_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ fraud_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ fraud_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ fraud_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ fraud_trip <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, …
## $ theft_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ theft_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ theft_othercity <dbl> 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, …
## $ theft_prefer_not <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ theft_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, …
## $ eviction_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ eviction_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ eviction_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ eviction_prefer_not <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ eviction_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ evictionthreat_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ evictionthreat_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ evictionthreat_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ evictionthreat_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deportation_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deportation_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deportation_prefer_not <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deportation_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ destruction_property_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ destruction_property_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ destruction_property_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ destruction_property_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ dispossetion_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ dispossetion_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ dispossetion_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ dispossetion_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ forceddisplaced_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ forceddisplaced_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ forceddisplaced_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ forceddisplaced_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ confined_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ confined_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ confined_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_yes <chr> NA, "Agree", "Undecided", "Agree"…
## $ risk_return_armedgroup <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, …
## $ risk_return_assaulted <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, …
## $ risk_return_extorsion <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_return_healthrisk <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, …
## $ risk_return_insecurity <dbl> 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, …
## $ risk_return_lackfood <dbl> 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, …
## $ risk_return_medical <dbl> 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, …
## $ risk_return_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_return_recruited <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, …
## $ risk_return_risk_prefer_not <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_return_subsistence <dbl> 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, …
## $ risk_return_threat <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_return_violence <dbl> 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, …
## $ risk_yes_stay <lgl> NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ risk_stay_armedgroup <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_stay_assaulted <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_stay_extorsion <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_stay_healthrisk <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_stay_insecurity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_stay_lackfood <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_stay_medical <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_stay_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_stay_recruited <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_stay_subsistence <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_stay_threat <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_stay_violence <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ documentation_birthcertif <dbl> 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, …
## $ documentation_id <dbl> 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 0, …
## $ documentation_idexp <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ documentation_none <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ documentation_notell <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ documentation_other <dbl> 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ documentation_passport <dbl> 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, …
## $ documentation_passportexp <dbl> 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, …
## $ regular_entry <chr> NA, "no", "yes", "yes", "no", "ye…
## $ applied_refugee <chr> NA, "yes", "no", "no", "no", NA, …
## $ appliedrejected <chr> NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ applied_refugee_idp <lgl> NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ not_asylum_costs <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ not_asylum_distance <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ not_asylum_lack_of_docume <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ not_asylum_lack_of_inform <dbl> 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, …
## $ not_asylum_lack_time <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ not_asylum_not_allowed_in <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ not_asylum_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, …
## $ doc_residence <chr> "irregular", "irregular", "visare…
## $ medical_attention <chr> NA, "yes", "yes", "yes", "couldno…
## $ medical_type_center <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, …
## $ medical_type_clinic <dbl> 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, …
## $ medical_type_hospital <dbl> 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, …
## $ medical_type_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ medical_received <chr> NA, "Agree", "Agree", "Agree", NA…
## $ whynot_medical_denied <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ whynot_medical_distance <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ whynot_medical_feararrested <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ whynot_medical_no_id <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, …
## $ whynot_medical_noinfo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ whynot_medical_noinsurance <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ whynot_medical_nomoney <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ whynot_medical_notavailable <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ whynot_medical_other <dbl> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, …
## $ mentalhealthsymp_couple <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ mentalhealthsymp_famfriend <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ mentalhealthsymp_ngos <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ mentalhealthsymp_none <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ mentalhealthsymp_no_one <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ mentalhealthsymp_notell <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ mentalhealthsymp_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ mentalhealthsymp_religious <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ mentalhealthsymp_stateresource <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ mentalhealthsymp_unorgs <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ pressneeds <chr> "docs", "docs", "none", "none", "…
## $ consent_score <chr> "yes", "yes", "yes", "yes", "yes"…
## $ housingtype <chr> "Rental", "Owned", "RoomRent", "o…
## $ water <chr> "TapNetLess2", "PipedPlot", "TapN…
## $ bathroom <chr> "Private_toilet", "Private_toilet…
## $ electricity <chr> "yes", "yes", "yes", "yes", "yes"…
## $ mealsperday <chr> "threeOrmore", "threeOrmore", "th…
## $ able_bodied <dbl> 3, 5, 2, 1, 1, 2, 3, 1, 6, 3, 2, …
## $ dependency_ratio <chr> "0.6", "0.714285714", "0.66666666…
## $ dependency_category <chr> "low", "low", "low", "low", "low"…
## $ jobbefore <chr> NA, "services", "services", "inde…
## $ jobafter <chr> NA, "informal", "informal", "form…
## $ employment_opp <chr> "twothree", "twothree", "fivesix"…
## $ incomesoles <lgl> NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ headof <chr> "other", "other", "other", "yes",…
## $ age_range <chr> NA, NA, NA, "36-59", "36-59", NA,…
## $ sex <chr> NA, NA, NA, "female", "female", N…
## $ marital_status <chr> NA, NA, NA, NA, "other", NA, NA, …
## $ age_rangeother <chr> "22-35", "36-59", "36-59", NA, NA…
## $ sexother <chr> "male", "male", "male", NA, NA, "…
## $ marital_statusother <chr> "married", "married", "married", …
## $ social_benefit_communities <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_gvt <dbl> 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, …
## $ social_benefit_ngo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_none <dbl> 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, …
## $ social_benefit_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_religious <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_cash <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_education <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_foodbag <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_foodcard <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_foodkit <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_foodration <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_housing <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_hygiene <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_livelihood <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_med <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_medical <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_pss <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_psych <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_relocate <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_gov_auxdoenca <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_gov_auxilio <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_gov_bolsa <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_gov_bpc <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_gov_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism1_aid_agency <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism1_aid_host <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism1_borrow_money <dbl> 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, …
## $ coping_mechanism1_changed_shelter <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism1_family_support <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism1_limit_adult_food <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, …
## $ coping_mechanism1_none <dbl> 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ coping_mechanism1_notell <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism1_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism1_reduced_food <dbl> 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, …
## $ coping_mechanism1_reduce_exp <dbl> 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, …
## $ coping_mechanism1_sell_assets <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism1_skipped_rent <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, …
## $ coping_mechanism1_use_savings <dbl> 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, …
## $ coping_mechanism1_work_food <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, …
## $ coping_mechanism2_beg <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism2_childmarriage <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism2_foodscrap <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism2_none <dbl> 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, …
## $ coping_mechanism2_notell <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism2_other <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism2_sendchild <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism2_survivalsex <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism2_workchild <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ feel_safe <chr> "Agree", "StronglyDisagree", "Agr…
## $ isolation <chr> "Disagree", "StronglyAgree", "Dis…
## $ isoltaion_pta <lgl> NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ discriminated <chr> "Disagree", "Disagree", "Disagree…
## $ discriminated_pta <lgl> NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ discriminated_reasons_age <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ discriminated_reasons_disability <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ discriminated_reasons_ethnictiy <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ discriminated_reasons_female <dbl> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, …
## $ discriminated_reasons_gender <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ discriminated_reasons_male <dbl> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, …
## $ discriminated_reasons_nationality <dbl> 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, …
## $ discriminated_reasons_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ discriminated_reasons_religion <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ interaction <chr> "positive", "positive", "positive…
## $ interaction_pta <lgl> NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ communication <chr> "veryeasy", "verydifficult", "eas…
## $ covidimpact_amenaza <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ covidimpact_amenazadesa <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ covidimpact_corteserv <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ covidimpact_desalojo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ covidimpact_deuda <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ covidimpact_educlimitada <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ covidimpact_noneimp <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ covidimpact_otherimp <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ covidimpact_saludfisica <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ covidimpact_saludmental1 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ covidimpact_saludmental2 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ riskeviction <lgl> NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ razon_riesgo_autoridades <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_riesgo_no_pago <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_riesgo_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_riesgo_propietarioa <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_riesgo_vencio_plazo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ measure_acuerdoarren <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ measure_asistlegal <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ measure_extension <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ measure_mudarhost <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ measure_mudartemp <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ measure_nonem <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ measure_otherm <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ measure_prestamo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ measure_regresopai <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ protarrendatario <lgl> NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ probconvivencia_cargadomes <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ probconvivencia_conflictos <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ probconvivencia_ninosdif <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ probconvivencia_noseguro <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ probconvivencia_parejadif <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ probconvivencia_sin_problema <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ violencia_aumenta <lgl> NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ razon_violencia_aumenta_aislamien <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_violencia_aumenta_dependen <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_violencia_aumenta_economi <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_violencia_aumenta_estres <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_violencia_aumenta_justicia <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_violencia_aumenta_otro_viol <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_violencia_aumenta_servici_gbv <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ income4basicneeds_actividadeco <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ income4basicneeds_ahorro <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ income4basicneeds_apoyocomm <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ income4basicneeds_apoyohuman <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ income4basicneeds_nosource <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ income4basicneeds_othersource <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ income4basicneeds_remesas <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ income4basicneeds_venderbienes <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ workchanged <lgl> NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ workchangedhow_aumento_horas <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ workchangedhow_aumento_trabajo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ workchangedhow_negocio <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ workchangedhow_otro_laboral <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ timecoverneeds <lgl> NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ kidscanschool <lgl> NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ kidscannotschool_no_mat_cupo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ kidscannotschool_no_mat_rec <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ kidscannotschool_otro_educ <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ kidscannotschool_sin_recuros <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ kidscanschoolhow_downloadplat <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ kidscanschoolhow_interactplat <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ kidscanschoolhow_materialsdeliv <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ kidscanschoolhow_materialswhats <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ kidscanschoolhow_radioortv <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ internetaccess <lgl> NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ i_cmedical_attention <lgl> NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ medicowhat_atenpsicosoc <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ medicowhat_enfercronicas <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ medicowhat_otrono_c19 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ medicowhat_prenatalpediatrico <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ medicowhat_prueba_c19 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ medicowhat_tratamiento_c19 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ recibio_asist_med <lgl> NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ razon_falta_asist_med_atencion_negad <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_falta_asist_med_atencion_susp <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_falta_asist_med_falta_if <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_falta_asist_med_falta_info <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_falta_asist_med_falta_recursos <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_falta_asist_med_falta_seg_med <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_falta_asist_med_otro_at_med <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ weight <dbl> 3.186885e+14, 3.186885e+14, 3.186…
## $ id <dbl> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11…# Eliminar columnas vacias
data3 <- remove_empty(data2, quiet = FALSE) #eliminar variables vacias## value for "which" not specified, defaulting to c("rows", "cols")## No empty rows to remove.## Removing 22 empty columns of 484 columns total (Removed: relocationprog, leftresidence, notsafehere, stayhowlong, childbirthreg, ethnicity, route_incidentnotdisplaced, risk_yes_stay, applied_refugee_idp, incomesoles, isoltaion_pta, discriminated_pta, interaction_pta, riskeviction, protarrendatario, violencia_aumenta, workchanged, timecoverneeds, kidscanschool, internetaccess, i_cmedical_attention, recibio_asist_med).glimpse(data3)## Rows: 406
## Columns: 462
## $ country_of_asylum <chr> "Chile", "Chile", "Chile", "Chile…
## $ monitoring_date <dttm> 2021-06-03, 2021-05-30, 2021-05-…
## $ short_cbi <chr> "yesshort", "full", "full", "full…
## $ remoteorinperson <chr> "byphone", "byphone", "byphone", …
## $ stafforpartner <chr> "socio", "socio", "socio", "socio…
## $ interviewstat <chr> "complete", "complete", "complete…
## $ nationality <chr> "venezuela", "venezuela", "venezu…
## $ crossedborder <chr> "yes", "yes", "yes", "yes", "yes"…
## $ departure_date <chr> NA, "2019", "2019", "2017 or earl…
## $ arrive_thiscountry <chr> NA, "2020", "2019", "2017 or earl…
## $ transport_method_boat <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ transport_method_bus <dbl> 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, …
## $ transport_method_car <dbl> 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, …
## $ transport_method_hitch_hiking <dbl> 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ transport_method_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ transport_method_plane <dbl> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, …
## $ transport_method_taxi <dbl> 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, …
## $ transport_method_walk <dbl> 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, …
## $ transit_countries_argentina <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ transit_countries_bolivia <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, …
## $ transit_countries_brazil <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ transit_countries_canada <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ transit_countries_chile <dbl> 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, …
## $ transit_countries_colombia <dbl> 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, …
## $ transit_countries_cuba <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ transit_countries_ecuador <dbl> 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, …
## $ transit_countries_nicaragua <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ transit_countries_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ transit_countries_panama <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ transit_countries_paraguay <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ transit_countries_peru <dbl> 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, …
## $ transit_countries_uruguay <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ transit_countries_venezuela <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, …
## $ intentionmove <chr> "stay", "stay", "stay", "relocate…
## $ intention <chr> NA, NA, NA, "othercountry", NA, N…
## $ reasonsreturn_discrim <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasonsreturn_familyleft <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, …
## $ reasonsreturn_houseloss <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasonsreturn_jobloss <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasonsreturn_nodocs <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasonsreturn_nomeds <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasonsreturn_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasonsreturn_violence <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ intentionspctr <chr> NA, NA, NA, "Mexico", NA, NA, NA,…
## $ groupsize <dbl> 5, NA, 3, 1, 1, 4, 3, 1, 8, 5, 2,…
## $ total_adult <dbl> 3, NA, 2, 1, 1, 3, 3, 1, 6, 3, 2,…
## $ total_adult_female <dbl> 1, 2, 1, 1, 1, 2, NA, 1, 4, 2, 1,…
## $ total_adult_male <dbl> 2, 2, 1, 0, 0, 1, 1, 0, 2, 1, 1, …
## $ total_minor <dbl> 2, NA, 1, 0, 0, 1, 0, 0, 2, 2, 0,…
## $ total_minor_female <dbl> 2, 0, 0, NA, NA, 1, NA, NA, 1, 2,…
## $ total_minor_male <dbl> 0, 3, 1, NA, NA, 0, NA, NA, 1, 0,…
## $ childinschool <chr> NA, "yes", "yes", NA, NA, NA, NA,…
## $ childvirtualed <chr> NA, "no", "yes", NA, NA, NA, NA, …
## $ childwhynotschool_childwork <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_disability <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_discrimethnic <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_discrimnation <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_disease <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_failedschool <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_fearschool <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_finished <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_helphome <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_intransit <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_nodocs <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_noinfo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_nointerest <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_nolanguage <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_nomoney <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_noschools <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_nospot <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_notransport <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_pregnancy <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_recentlyarrive <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ childwhynotschool_toolate <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ specific_needs_none <dbl> NA, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0,…
## $ disabilityacc_disabilityserv <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ disabilityacc_docacc <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ disabilityacc_houselimit <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ disabilityacc_none <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ disabilityacc_privins <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ disabilityacc_publicins <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ disabilityacc_pubspaces <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ disabilityacc_transport <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ disabilityacc_worklimit <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ familiy_left <chr> NA, "no", "no", "yes", "yes", "ye…
## $ household_leftbehind <dbl> NA, NA, NA, 2, 4, 2, 1, NA, 4, 5,…
## $ reasons_stayed_border_close <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasons_stayed_care_property <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasons_stayed_caring_dependant <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasons_stayed_continued <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasons_stayed_dont_know <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasons_stayed_health_prob <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasons_stayed_lack_docs <dbl> 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, …
## $ reasons_stayed_lack_funds <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, …
## $ reasons_stayed_notell <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasons_stayed_old_age <dbl> 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, …
## $ reasons_stayed_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasons_stayed_returned <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasons_stayed_security <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, …
## $ reasons_stayed_stayed <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasons_stayed_othercountry <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ reasons_stayed_work_study <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ minorsleft <chr> NA, NA, NA, "no", "no", "no", "no…
## $ prevdeport_none <dbl> 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, …
## $ prevdeport_yesdeport <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ prevdeport_yes_forcedreturn <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ prevdeport_yes_refusedentry <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ deport_country_argentina <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deport_country_bolivia <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ deport_country_brazil <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deport_country_chile <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ deport_country_colombia <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ deport_country_costa_rica <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deport_country_cuba <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deport_country_curacao <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deport_country_ecuador <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ deport_country_guatemala <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deport_country_honduras <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deport_country_mexico <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deport_country_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deport_country_panama <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deport_country_peru <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ deport_country_suriname <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deport_country_usa <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deport_country_venezuela <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ route_incident <chr> NA, "yes", "yes", "no", "yes", "n…
## $ route_incident_type_abduction <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_arrest <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_bribery <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_confine <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_deportation <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_despojo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_destruct_prop <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_displaced <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_eviction <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_evictionthreat <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_exploitsex <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_exploitwork <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_force_disappear <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_forced_recruit <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_fraud <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_homicide <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_notell <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_type_phys_assault <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ route_incident_type_sexual_assault <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, …
## $ route_incident_type_theft <dbl> 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, …
## $ route_incident_type_threat <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ route_incident_type_torture <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_abduct <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_arrest <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_bribery <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_deportat <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_destr_pro <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_eviction <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_evicthr <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_explsex <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_explwork <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_fraud <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_homicide <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_phys_ass <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_sex_ass <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_theft <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ route_incident_typenodisp_threat <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ homicide_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ homicide_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ homicide_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ homicide_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ physical_assault_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ physical_assault_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ physical_assault_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ physical_assault_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ sexual_assault_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ sexual_assault_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ sexual_assault_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ sexual_assault_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, …
## $ abduction_o_rkidnapping_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ abduction_o_rkidnapping_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ abduction_o_rkidnapping_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ abduction_o_rkidnapping_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ exploitationsex_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ exploitationsex_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ exploitationsex_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ exploitationwork_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ exploitationwork_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ exploitationwork_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ exploitationwork_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ arrest_o_rdetention_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ arrest_o_rdetention_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ arrest_o_rdetention_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ arrest_o_rdetention_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ threat_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ threat_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ threat_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ threat_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ fraud_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ fraud_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ fraud_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ fraud_trip <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, …
## $ theft_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ theft_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ theft_othercity <dbl> 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, …
## $ theft_prefer_not <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ theft_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, …
## $ eviction_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ eviction_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ eviction_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ eviction_prefer_not <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ eviction_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ evictionthreat_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ evictionthreat_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ evictionthreat_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ evictionthreat_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deportation_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deportation_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deportation_prefer_not <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ deportation_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ destruction_property_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ destruction_property_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ destruction_property_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ destruction_property_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ dispossetion_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ dispossetion_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ dispossetion_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ dispossetion_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ forceddisplaced_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ forceddisplaced_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ forceddisplaced_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ forceddisplaced_trip <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ confined_asylum <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ confined_orgin <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ confined_othercity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_yes <chr> NA, "Agree", "Undecided", "Agree"…
## $ risk_return_armedgroup <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, …
## $ risk_return_assaulted <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, …
## $ risk_return_extorsion <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_return_healthrisk <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, …
## $ risk_return_insecurity <dbl> 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, …
## $ risk_return_lackfood <dbl> 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, …
## $ risk_return_medical <dbl> 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, …
## $ risk_return_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_return_recruited <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, …
## $ risk_return_risk_prefer_not <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_return_subsistence <dbl> 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, …
## $ risk_return_threat <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_return_violence <dbl> 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, …
## $ risk_stay_armedgroup <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_stay_assaulted <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_stay_extorsion <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_stay_healthrisk <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_stay_insecurity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_stay_lackfood <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_stay_medical <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_stay_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_stay_recruited <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_stay_subsistence <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_stay_threat <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ risk_stay_violence <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ documentation_birthcertif <dbl> 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, …
## $ documentation_id <dbl> 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 0, …
## $ documentation_idexp <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ documentation_none <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ documentation_notell <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ documentation_other <dbl> 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ documentation_passport <dbl> 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, …
## $ documentation_passportexp <dbl> 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, …
## $ regular_entry <chr> NA, "no", "yes", "yes", "no", "ye…
## $ applied_refugee <chr> NA, "yes", "no", "no", "no", NA, …
## $ appliedrejected <chr> NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ not_asylum_costs <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ not_asylum_distance <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ not_asylum_lack_of_docume <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ not_asylum_lack_of_inform <dbl> 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, …
## $ not_asylum_lack_time <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ not_asylum_not_allowed_in <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ not_asylum_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, …
## $ doc_residence <chr> "irregular", "irregular", "visare…
## $ medical_attention <chr> NA, "yes", "yes", "yes", "couldno…
## $ medical_type_center <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, …
## $ medical_type_clinic <dbl> 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, …
## $ medical_type_hospital <dbl> 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, …
## $ medical_type_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ medical_received <chr> NA, "Agree", "Agree", "Agree", NA…
## $ whynot_medical_denied <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ whynot_medical_distance <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ whynot_medical_feararrested <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ whynot_medical_no_id <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, …
## $ whynot_medical_noinfo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ whynot_medical_noinsurance <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ whynot_medical_nomoney <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ whynot_medical_notavailable <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ whynot_medical_other <dbl> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, …
## $ mentalhealthsymp_couple <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ mentalhealthsymp_famfriend <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ mentalhealthsymp_ngos <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ mentalhealthsymp_none <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ mentalhealthsymp_no_one <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ mentalhealthsymp_notell <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ mentalhealthsymp_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ mentalhealthsymp_religious <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ mentalhealthsymp_stateresource <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ mentalhealthsymp_unorgs <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ pressneeds <chr> "docs", "docs", "none", "none", "…
## $ consent_score <chr> "yes", "yes", "yes", "yes", "yes"…
## $ housingtype <chr> "Rental", "Owned", "RoomRent", "o…
## $ water <chr> "TapNetLess2", "PipedPlot", "TapN…
## $ bathroom <chr> "Private_toilet", "Private_toilet…
## $ electricity <chr> "yes", "yes", "yes", "yes", "yes"…
## $ mealsperday <chr> "threeOrmore", "threeOrmore", "th…
## $ able_bodied <dbl> 3, 5, 2, 1, 1, 2, 3, 1, 6, 3, 2, …
## $ dependency_ratio <chr> "0.6", "0.714285714", "0.66666666…
## $ dependency_category <chr> "low", "low", "low", "low", "low"…
## $ jobbefore <chr> NA, "services", "services", "inde…
## $ jobafter <chr> NA, "informal", "informal", "form…
## $ employment_opp <chr> "twothree", "twothree", "fivesix"…
## $ headof <chr> "other", "other", "other", "yes",…
## $ age_range <chr> NA, NA, NA, "36-59", "36-59", NA,…
## $ sex <chr> NA, NA, NA, "female", "female", N…
## $ marital_status <chr> NA, NA, NA, NA, "other", NA, NA, …
## $ age_rangeother <chr> "22-35", "36-59", "36-59", NA, NA…
## $ sexother <chr> "male", "male", "male", NA, NA, "…
## $ marital_statusother <chr> "married", "married", "married", …
## $ social_benefit_communities <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_gvt <dbl> 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, …
## $ social_benefit_ngo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_none <dbl> 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, …
## $ social_benefit_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_religious <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_cash <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_education <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_foodbag <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_foodcard <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_foodkit <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_foodration <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_housing <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_hygiene <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_livelihood <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_med <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_medical <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_pss <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_psych <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_type_relocate <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_gov_auxdoenca <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_gov_auxilio <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_gov_bolsa <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_gov_bpc <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ social_benefit_gov_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism1_aid_agency <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism1_aid_host <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism1_borrow_money <dbl> 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, …
## $ coping_mechanism1_changed_shelter <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism1_family_support <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism1_limit_adult_food <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, …
## $ coping_mechanism1_none <dbl> 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, …
## $ coping_mechanism1_notell <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism1_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism1_reduced_food <dbl> 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, …
## $ coping_mechanism1_reduce_exp <dbl> 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, …
## $ coping_mechanism1_sell_assets <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism1_skipped_rent <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, …
## $ coping_mechanism1_use_savings <dbl> 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, …
## $ coping_mechanism1_work_food <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, …
## $ coping_mechanism2_beg <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism2_childmarriage <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism2_foodscrap <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism2_none <dbl> 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, …
## $ coping_mechanism2_notell <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism2_other <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism2_sendchild <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism2_survivalsex <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ coping_mechanism2_workchild <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ feel_safe <chr> "Agree", "StronglyDisagree", "Agr…
## $ isolation <chr> "Disagree", "StronglyAgree", "Dis…
## $ discriminated <chr> "Disagree", "Disagree", "Disagree…
## $ discriminated_reasons_age <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ discriminated_reasons_disability <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ discriminated_reasons_ethnictiy <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ discriminated_reasons_female <dbl> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, …
## $ discriminated_reasons_gender <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ discriminated_reasons_male <dbl> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, …
## $ discriminated_reasons_nationality <dbl> 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, …
## $ discriminated_reasons_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ discriminated_reasons_religion <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ interaction <chr> "positive", "positive", "positive…
## $ communication <chr> "veryeasy", "verydifficult", "eas…
## $ covidimpact_amenaza <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ covidimpact_amenazadesa <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ covidimpact_corteserv <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ covidimpact_desalojo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ covidimpact_deuda <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ covidimpact_educlimitada <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ covidimpact_noneimp <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ covidimpact_otherimp <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ covidimpact_saludfisica <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ covidimpact_saludmental1 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ covidimpact_saludmental2 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_riesgo_autoridades <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_riesgo_no_pago <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_riesgo_other <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_riesgo_propietarioa <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_riesgo_vencio_plazo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ measure_acuerdoarren <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ measure_asistlegal <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ measure_extension <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ measure_mudarhost <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ measure_mudartemp <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ measure_nonem <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ measure_otherm <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ measure_prestamo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ measure_regresopai <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ probconvivencia_cargadomes <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ probconvivencia_conflictos <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ probconvivencia_ninosdif <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ probconvivencia_noseguro <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ probconvivencia_parejadif <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ probconvivencia_sin_problema <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_violencia_aumenta_aislamien <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_violencia_aumenta_dependen <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_violencia_aumenta_economi <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_violencia_aumenta_estres <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_violencia_aumenta_justicia <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_violencia_aumenta_otro_viol <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_violencia_aumenta_servici_gbv <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ income4basicneeds_actividadeco <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ income4basicneeds_ahorro <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ income4basicneeds_apoyocomm <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ income4basicneeds_apoyohuman <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ income4basicneeds_nosource <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ income4basicneeds_othersource <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ income4basicneeds_remesas <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ income4basicneeds_venderbienes <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ workchangedhow_aumento_horas <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ workchangedhow_aumento_trabajo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ workchangedhow_negocio <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ workchangedhow_otro_laboral <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ kidscannotschool_no_mat_cupo <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ kidscannotschool_no_mat_rec <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ kidscannotschool_otro_educ <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ kidscannotschool_sin_recuros <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ kidscanschoolhow_downloadplat <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ kidscanschoolhow_interactplat <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ kidscanschoolhow_materialsdeliv <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ kidscanschoolhow_materialswhats <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ kidscanschoolhow_radioortv <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ medicowhat_atenpsicosoc <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ medicowhat_enfercronicas <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ medicowhat_otrono_c19 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ medicowhat_prenatalpediatrico <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ medicowhat_prueba_c19 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ medicowhat_tratamiento_c19 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_falta_asist_med_atencion_negad <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_falta_asist_med_atencion_susp <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_falta_asist_med_falta_if <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_falta_asist_med_falta_info <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_falta_asist_med_falta_recursos <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_falta_asist_med_falta_seg_med <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ razon_falta_asist_med_otro_at_med <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ weight <dbl> 3.186885e+14, 3.186885e+14, 3.186…
## $ id <dbl> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11…# Eliminar duplicados
library(dplyr)
data4 <- distinct(data3) #eliminar variables duplicadas
data4## # A tibble: 406 × 462
## country…¹ monitoring_date short…² remot…³ staff…⁴ inter…⁵ natio…⁶ cross…⁷
## <chr> <dttm> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 Chile 2021-06-03 00:00:00 yessho… byphone socio comple… venezu… yes
## 2 Chile 2021-05-30 00:00:00 full byphone socio comple… venezu… yes
## 3 Chile 2021-05-26 00:00:00 full byphone socio comple… venezu… yes
## 4 Chile 2021-05-27 00:00:00 full byphone socio comple… venezu… yes
## 5 Chile 2021-05-27 00:00:00 full byphone socio comple… venezu… yes
## 6 Chile 2021-06-05 00:00:00 full byphone socio comple… venezu… yes
## 7 Chile 2021-06-05 00:00:00 full byphone socio comple… venezu… yes
## 8 Chile 2021-06-01 00:00:00 full byphone socio comple… venezu… yes
## 9 Chile 2021-06-01 00:00:00 full byphone socio comple… venezu… yes
## 10 Chile 2021-06-05 00:00:00 full byphone socio comple… venezu… yes
## # … with 396 more rows, 454 more variables: departure_date <chr>,
## # arrive_thiscountry <chr>, transport_method_boat <dbl>,
## # transport_method_bus <dbl>, transport_method_car <dbl>,
## # transport_method_hitch_hiking <dbl>, transport_method_other <dbl>,
## # transport_method_plane <dbl>, transport_method_taxi <dbl>,
## # transport_method_walk <dbl>, transit_countries_argentina <dbl>,
## # transit_countries_bolivia <dbl>, transit_countries_brazil <dbl>, …attach(data4)#Categorias de edad
#age_range
#age_rangeother
library(tidyr)
#StringsAsFactor=F pues la funcion unite de tidyr no remueve los NA de factores
datita <- data.frame(age_range,age_rangeother,stringsAsFactors=F)
datita## age_range age_rangeother
## 1 <NA> 22-35
## 2 <NA> 36-59
## 3 <NA> 36-59
## 4 36-59 <NA>
## 5 36-59 <NA>
## 6 <NA> 36-59
## 7 <NA> 22-35
## 8 <NA> <NA>
## 9 <NA> 36-59
## 10 <NA> 36-59
## 11 <NA> 36-59
## 12 <NA> 22-35
## 13 <NA> 36-59
## 14 36-59 <NA>
## 15 <NA> 22-35
## 16 <NA> <NA>
## 17 <NA> 36-59
## 18 22-35 <NA>
## 19 <NA> 36-59
## 20 <NA> 36-59
## 21 <NA> 22-35
## 22 22-35 <NA>
## 23 <NA> 36-59
## 24 22-35 <NA>
## 25 <NA> 22-35
## 26 36-59 <NA>
## 27 <NA> <NA>
## 28 <NA> 22-35
## 29 <NA> 36-59
## 30 <NA> 22-35
## 31 22-35 <NA>
## 32 <NA> 22-35
## 33 36-59 <NA>
## 34 36-59 <NA>
## 35 <NA> 22-35
## 36 <NA> <NA>
## 37 <NA> 36-59
## 38 22-35 <NA>
## 39 <NA> <NA>
## 40 <NA> 22-35
## 41 <NA> <NA>
## 42 22-35 <NA>
## 43 22-35 <NA>
## 44 36-59 <NA>
## 45 <NA> 36-59
## 46 <NA> 22-35
## 47 36-59 <NA>
## 48 22-35 <NA>
## 49 <NA> 22-35
## 50 <NA> 22-35
## 51 22-35 <NA>
## 52 <NA> 36-59
## 53 <NA> 36-59
## 54 22-35 <NA>
## 55 <NA> <NA>
## 56 22-35 <NA>
## 57 36-59 <NA>
## 58 36-59 <NA>
## 59 22-35 <NA>
## 60 <NA> 22-35
## 61 36-59 <NA>
## 62 <NA> <NA>
## 63 <NA> 22-35
## 64 <NA> 22-35
## 65 <NA> <NA>
## 66 <NA> <NA>
## 67 36-59 <NA>
## 68 36-59 <NA>
## 69 <NA> 36-59
## 70 over60 <NA>
## 71 <NA> 22-35
## 72 <NA> 36-59
## 73 <NA> 18-21
## 74 36-59 <NA>
## 75 22-35 <NA>
## 76 22-35 <NA>
## 77 <NA> 36-59
## 78 36-59 <NA>
## 79 <NA> 36-59
## 80 <NA> <NA>
## 81 36-59 <NA>
## 82 <NA> over60
## 83 <NA> 22-35
## 84 22-35 <NA>
## 85 36-59 <NA>
## 86 <NA> 22-35
## 87 36-59 <NA>
## 88 <NA> 22-35
## 89 22-35 <NA>
## 90 <NA> 22-35
## 91 <NA> 36-59
## 92 <NA> 22-35
## 93 36-59 <NA>
## 94 <NA> 22-35
## 95 22-35 <NA>
## 96 36-59 <NA>
## 97 36-59 <NA>
## 98 36-59 <NA>
## 99 22-35 <NA>
## 100 22-35 <NA>
## 101 <NA> 36-59
## 102 36-59 <NA>
## 103 36-59 <NA>
## 104 <NA> 36-59
## 105 36-59 <NA>
## 106 <NA> 22-35
## 107 36-59 <NA>
## 108 <NA> 22-35
## 109 36-59 <NA>
## 110 36-59 <NA>
## 111 <NA> 22-35
## 112 <NA> 22-35
## 113 <NA> 36-59
## 114 36-59 <NA>
## 115 <NA> <NA>
## 116 <NA> 36-59
## 117 <NA> <NA>
## 118 <NA> 18-21
## 119 <NA> 22-35
## 120 <NA> 36-59
## 121 22-35 <NA>
## 122 <NA> 22-35
## 123 22-35 <NA>
## 124 <NA> 22-35
## 125 36-59 <NA>
## 126 <NA> 36-59
## 127 <NA> 22-35
## 128 36-59 <NA>
## 129 36-59 <NA>
## 130 <NA> 36-59
## 131 36-59 <NA>
## 132 36-59 <NA>
## 133 22-35 <NA>
## 134 <NA> 36-59
## 135 36-59 <NA>
## 136 22-35 <NA>
## 137 22-35 <NA>
## 138 36-59 <NA>
## 139 36-59 <NA>
## 140 <NA> 36-59
## 141 22-35 <NA>
## 142 36-59 <NA>
## 143 36-59 <NA>
## 144 22-35 <NA>
## 145 <NA> 22-35
## 146 <NA> 36-59
## 147 <NA> <NA>
## 148 <NA> 36-59
## 149 <NA> 36-59
## 150 <NA> 22-35
## 151 <NA> 36-59
## 152 over60 <NA>
## 153 <NA> 36-59
## 154 36-59 <NA>
## 155 over60 <NA>
## 156 <NA> 36-59
## 157 18-21 <NA>
## 158 22-35 <NA>
## 159 <NA> 36-59
## 160 36-59 <NA>
## 161 22-35 <NA>
## 162 36-59 <NA>
## 163 18-21 <NA>
## 164 <NA> 36-59
## 165 <NA> 18-21
## 166 22-35 <NA>
## 167 36-59 <NA>
## 168 36-59 <NA>
## 169 36-59 <NA>
## 170 36-59 <NA>
## 171 36-59 <NA>
## 172 <NA> <NA>
## 173 <NA> <NA>
## 174 22-35 <NA>
## 175 36-59 <NA>
## 176 22-35 <NA>
## 177 <NA> 22-35
## 178 22-35 <NA>
## 179 <NA> 22-35
## 180 36-59 <NA>
## 181 <NA> 36-59
## 182 36-59 <NA>
## 183 36-59 <NA>
## 184 22-35 <NA>
## 185 <NA> 22-35
## 186 <NA> 22-35
## 187 22-35 <NA>
## 188 36-59 <NA>
## 189 <NA> <NA>
## 190 <NA> <NA>
## 191 <NA> 36-59
## 192 36-59 <NA>
## 193 22-35 <NA>
## 194 <NA> 36-59
## 195 22-35 <NA>
## 196 36-59 <NA>
## 197 <NA> 22-35
## 198 <NA> <NA>
## 199 36-59 <NA>
## 200 36-59 <NA>
## 201 36-59 <NA>
## 202 <NA> <NA>
## 203 <NA> <NA>
## 204 36-59 <NA>
## 205 <NA> 36-59
## 206 22-35 <NA>
## 207 <NA> <NA>
## 208 36-59 <NA>
## 209 22-35 <NA>
## 210 36-59 <NA>
## 211 <NA> <NA>
## 212 36-59 <NA>
## 213 <NA> 36-59
## 214 <NA> 22-35
## 215 36-59 <NA>
## 216 22-35 <NA>
## 217 <NA> <NA>
## 218 22-35 <NA>
## 219 <NA> <NA>
## 220 36-59 <NA>
## 221 22-35 <NA>
## 222 22-35 <NA>
## 223 36-59 <NA>
## 224 36-59 <NA>
## 225 22-35 <NA>
## 226 36-59 <NA>
## 227 22-35 <NA>
## 228 <NA> 22-35
## 229 22-35 <NA>
## 230 <NA> 22-35
## 231 <NA> 36-59
## 232 <NA> <NA>
## 233 <NA> <NA>
## 234 <NA> 36-59
## 235 <NA> 36-59
## 236 <NA> 22-35
## 237 22-35 <NA>
## 238 36-59 <NA>
## 239 <NA> 22-35
## 240 22-35 <NA>
## 241 <NA> 22-35
## 242 <NA> 22-35
## 243 36-59 <NA>
## 244 <NA> 36-59
## 245 22-35 <NA>
## 246 <NA> <NA>
## 247 <NA> <NA>
## 248 over60 <NA>
## 249 36-59 <NA>
## 250 36-59 <NA>
## 251 18-21 <NA>
## 252 22-35 <NA>
## 253 36-59 <NA>
## 254 <NA> <NA>
## 255 22-35 <NA>
## 256 over60 <NA>
## 257 <NA> 36-59
## 258 36-59 <NA>
## 259 <NA> 22-35
## 260 22-35 <NA>
## 261 <NA> 22-35
## 262 36-59 <NA>
## 263 <NA> 22-35
## 264 <NA> <NA>
## 265 <NA> 22-35
## 266 18-21 <NA>
## 267 36-59 <NA>
## 268 36-59 <NA>
## 269 22-35 <NA>
## 270 <NA> <NA>
## 271 36-59 <NA>
## 272 <NA> 36-59
## 273 22-35 <NA>
## 274 <NA> 36-59
## 275 <NA> 22-35
## 276 36-59 <NA>
## 277 36-59 <NA>
## 278 22-35 <NA>
## 279 36-59 <NA>
## 280 36-59 <NA>
## 281 <NA> 36-59
## 282 36-59 <NA>
## 283 22-35 <NA>
## 284 36-59 <NA>
## 285 36-59 <NA>
## 286 36-59 <NA>
## 287 36-59 <NA>
## 288 22-35 <NA>
## 289 <NA> 22-35
## 290 22-35 <NA>
## 291 22-35 <NA>
## 292 <NA> 36-59
## 293 36-59 <NA>
## 294 <NA> 36-59
## 295 <NA> 22-35
## 296 <NA> over60
## 297 22-35 <NA>
## 298 <NA> 36-59
## 299 <NA> 36-59
## 300 22-35 <NA>
## 301 <NA> <NA>
## 302 36-59 <NA>
## 303 <NA> 22-35
## 304 22-35 <NA>
## 305 22-35 <NA>
## 306 <NA> <NA>
## 307 36-59 <NA>
## 308 36-59 <NA>
## 309 22-35 <NA>
## 310 <NA> 36-59
## 311 <NA> 22-35
## 312 36-59 <NA>
## 313 <NA> 36-59
## 314 36-59 <NA>
## 315 <NA> 36-59
## 316 <NA> 22-35
## 317 36-59 <NA>
## 318 36-59 <NA>
## 319 <NA> 36-59
## 320 <NA> 36-59
## 321 <NA> 36-59
## 322 <NA> 22-35
## 323 18-21 <NA>
## 324 22-35 <NA>
## 325 36-59 <NA>
## 326 <NA> <NA>
## 327 36-59 <NA>
## 328 36-59 <NA>
## 329 22-35 <NA>
## 330 36-59 <NA>
## 331 <NA> 36-59
## 332 22-35 <NA>
## 333 36-59 <NA>
## 334 36-59 <NA>
## 335 <NA> 22-35
## 336 36-59 <NA>
## 337 22-35 <NA>
## 338 22-35 <NA>
## 339 36-59 <NA>
## 340 <NA> 22-35
## 341 22-35 <NA>
## 342 <NA> 36-59
## 343 <NA> 36-59
## 344 36-59 <NA>
## 345 22-35 <NA>
## 346 22-35 <NA>
## 347 <NA> 36-59
## 348 36-59 <NA>
## 349 36-59 <NA>
## 350 36-59 <NA>
## 351 22-35 <NA>
## 352 <NA> 22-35
## 353 <NA> 22-35
## 354 22-35 <NA>
## 355 36-59 <NA>
## 356 22-35 <NA>
## 357 <NA> 36-59
## 358 <NA> 22-35
## 359 22-35 <NA>
## 360 36-59 <NA>
## 361 <NA> 36-59
## 362 <NA> 22-35
## 363 22-35 <NA>
## 364 <NA> 36-59
## 365 22-35 <NA>
## 366 <NA> 36-59
## 367 <NA> 22-35
## 368 <NA> 22-35
## 369 over60 <NA>
## 370 22-35 <NA>
## 371 36-59 <NA>
## 372 <NA> 36-59
## 373 22-35 <NA>
## 374 <NA> <NA>
## 375 22-35 <NA>
## 376 36-59 <NA>
## 377 36-59 <NA>
## 378 36-59 <NA>
## 379 36-59 <NA>
## 380 <NA> 22-35
## 381 <NA> 22-35
## 382 <NA> <NA>
## 383 <NA> <NA>
## 384 <NA> 22-35
## 385 <NA> 22-35
## 386 <NA> 36-59
## 387 <NA> 36-59
## 388 <NA> 22-35
## 389 <NA> 36-59
## 390 <NA> <NA>
## 391 <NA> <NA>
## 392 <NA> 36-59
## 393 36-59 <NA>
## 394 <NA> 22-35
## 395 22-35 <NA>
## 396 22-35 <NA>
## 397 <NA> 22-35
## 398 36-59 <NA>
## 399 22-35 <NA>
## 400 22-35 <NA>
## 401 <NA> 22-35
## 402 <NA> 36-59
## 403 36-59 <NA>
## 404 36-59 <NA>
## 405 <NA> 22-35
## 406 36-59 <NA>datita2 <- datita
# el uso de tidy-select ":" nos permite selecionar un rango de variables, entonces si tienes 100 va. puedes hacer col1:col100 siempre y cuando las variables sean consecutivas
datita2<-datita2%>%unite("AGE",age_range:age_rangeother,sep="",remove=F,na.rm=T)
datita2## AGE age_range age_rangeother
## 1 22-35 <NA> 22-35
## 2 36-59 <NA> 36-59
## 3 36-59 <NA> 36-59
## 4 36-59 36-59 <NA>
## 5 36-59 36-59 <NA>
## 6 36-59 <NA> 36-59
## 7 22-35 <NA> 22-35
## 8 <NA> <NA>
## 9 36-59 <NA> 36-59
## 10 36-59 <NA> 36-59
## 11 36-59 <NA> 36-59
## 12 22-35 <NA> 22-35
## 13 36-59 <NA> 36-59
## 14 36-59 36-59 <NA>
## 15 22-35 <NA> 22-35
## 16 <NA> <NA>
## 17 36-59 <NA> 36-59
## 18 22-35 22-35 <NA>
## 19 36-59 <NA> 36-59
## 20 36-59 <NA> 36-59
## 21 22-35 <NA> 22-35
## 22 22-35 22-35 <NA>
## 23 36-59 <NA> 36-59
## 24 22-35 22-35 <NA>
## 25 22-35 <NA> 22-35
## 26 36-59 36-59 <NA>
## 27 <NA> <NA>
## 28 22-35 <NA> 22-35
## 29 36-59 <NA> 36-59
## 30 22-35 <NA> 22-35
## 31 22-35 22-35 <NA>
## 32 22-35 <NA> 22-35
## 33 36-59 36-59 <NA>
## 34 36-59 36-59 <NA>
## 35 22-35 <NA> 22-35
## 36 <NA> <NA>
## 37 36-59 <NA> 36-59
## 38 22-35 22-35 <NA>
## 39 <NA> <NA>
## 40 22-35 <NA> 22-35
## 41 <NA> <NA>
## 42 22-35 22-35 <NA>
## 43 22-35 22-35 <NA>
## 44 36-59 36-59 <NA>
## 45 36-59 <NA> 36-59
## 46 22-35 <NA> 22-35
## 47 36-59 36-59 <NA>
## 48 22-35 22-35 <NA>
## 49 22-35 <NA> 22-35
## 50 22-35 <NA> 22-35
## 51 22-35 22-35 <NA>
## 52 36-59 <NA> 36-59
## 53 36-59 <NA> 36-59
## 54 22-35 22-35 <NA>
## 55 <NA> <NA>
## 56 22-35 22-35 <NA>
## 57 36-59 36-59 <NA>
## 58 36-59 36-59 <NA>
## 59 22-35 22-35 <NA>
## 60 22-35 <NA> 22-35
## 61 36-59 36-59 <NA>
## 62 <NA> <NA>
## 63 22-35 <NA> 22-35
## 64 22-35 <NA> 22-35
## 65 <NA> <NA>
## 66 <NA> <NA>
## 67 36-59 36-59 <NA>
## 68 36-59 36-59 <NA>
## 69 36-59 <NA> 36-59
## 70 over60 over60 <NA>
## 71 22-35 <NA> 22-35
## 72 36-59 <NA> 36-59
## 73 18-21 <NA> 18-21
## 74 36-59 36-59 <NA>
## 75 22-35 22-35 <NA>
## 76 22-35 22-35 <NA>
## 77 36-59 <NA> 36-59
## 78 36-59 36-59 <NA>
## 79 36-59 <NA> 36-59
## 80 <NA> <NA>
## 81 36-59 36-59 <NA>
## 82 over60 <NA> over60
## 83 22-35 <NA> 22-35
## 84 22-35 22-35 <NA>
## 85 36-59 36-59 <NA>
## 86 22-35 <NA> 22-35
## 87 36-59 36-59 <NA>
## 88 22-35 <NA> 22-35
## 89 22-35 22-35 <NA>
## 90 22-35 <NA> 22-35
## 91 36-59 <NA> 36-59
## 92 22-35 <NA> 22-35
## 93 36-59 36-59 <NA>
## 94 22-35 <NA> 22-35
## 95 22-35 22-35 <NA>
## 96 36-59 36-59 <NA>
## 97 36-59 36-59 <NA>
## 98 36-59 36-59 <NA>
## 99 22-35 22-35 <NA>
## 100 22-35 22-35 <NA>
## 101 36-59 <NA> 36-59
## 102 36-59 36-59 <NA>
## 103 36-59 36-59 <NA>
## 104 36-59 <NA> 36-59
## 105 36-59 36-59 <NA>
## 106 22-35 <NA> 22-35
## 107 36-59 36-59 <NA>
## 108 22-35 <NA> 22-35
## 109 36-59 36-59 <NA>
## 110 36-59 36-59 <NA>
## 111 22-35 <NA> 22-35
## 112 22-35 <NA> 22-35
## 113 36-59 <NA> 36-59
## 114 36-59 36-59 <NA>
## 115 <NA> <NA>
## 116 36-59 <NA> 36-59
## 117 <NA> <NA>
## 118 18-21 <NA> 18-21
## 119 22-35 <NA> 22-35
## 120 36-59 <NA> 36-59
## 121 22-35 22-35 <NA>
## 122 22-35 <NA> 22-35
## 123 22-35 22-35 <NA>
## 124 22-35 <NA> 22-35
## 125 36-59 36-59 <NA>
## 126 36-59 <NA> 36-59
## 127 22-35 <NA> 22-35
## 128 36-59 36-59 <NA>
## 129 36-59 36-59 <NA>
## 130 36-59 <NA> 36-59
## 131 36-59 36-59 <NA>
## 132 36-59 36-59 <NA>
## 133 22-35 22-35 <NA>
## 134 36-59 <NA> 36-59
## 135 36-59 36-59 <NA>
## 136 22-35 22-35 <NA>
## 137 22-35 22-35 <NA>
## 138 36-59 36-59 <NA>
## 139 36-59 36-59 <NA>
## 140 36-59 <NA> 36-59
## 141 22-35 22-35 <NA>
## 142 36-59 36-59 <NA>
## 143 36-59 36-59 <NA>
## 144 22-35 22-35 <NA>
## 145 22-35 <NA> 22-35
## 146 36-59 <NA> 36-59
## 147 <NA> <NA>
## 148 36-59 <NA> 36-59
## 149 36-59 <NA> 36-59
## 150 22-35 <NA> 22-35
## 151 36-59 <NA> 36-59
## 152 over60 over60 <NA>
## 153 36-59 <NA> 36-59
## 154 36-59 36-59 <NA>
## 155 over60 over60 <NA>
## 156 36-59 <NA> 36-59
## 157 18-21 18-21 <NA>
## 158 22-35 22-35 <NA>
## 159 36-59 <NA> 36-59
## 160 36-59 36-59 <NA>
## 161 22-35 22-35 <NA>
## 162 36-59 36-59 <NA>
## 163 18-21 18-21 <NA>
## 164 36-59 <NA> 36-59
## 165 18-21 <NA> 18-21
## 166 22-35 22-35 <NA>
## 167 36-59 36-59 <NA>
## 168 36-59 36-59 <NA>
## 169 36-59 36-59 <NA>
## 170 36-59 36-59 <NA>
## 171 36-59 36-59 <NA>
## 172 <NA> <NA>
## 173 <NA> <NA>
## 174 22-35 22-35 <NA>
## 175 36-59 36-59 <NA>
## 176 22-35 22-35 <NA>
## 177 22-35 <NA> 22-35
## 178 22-35 22-35 <NA>
## 179 22-35 <NA> 22-35
## 180 36-59 36-59 <NA>
## 181 36-59 <NA> 36-59
## 182 36-59 36-59 <NA>
## 183 36-59 36-59 <NA>
## 184 22-35 22-35 <NA>
## 185 22-35 <NA> 22-35
## 186 22-35 <NA> 22-35
## 187 22-35 22-35 <NA>
## 188 36-59 36-59 <NA>
## 189 <NA> <NA>
## 190 <NA> <NA>
## 191 36-59 <NA> 36-59
## 192 36-59 36-59 <NA>
## 193 22-35 22-35 <NA>
## 194 36-59 <NA> 36-59
## 195 22-35 22-35 <NA>
## 196 36-59 36-59 <NA>
## 197 22-35 <NA> 22-35
## 198 <NA> <NA>
## 199 36-59 36-59 <NA>
## 200 36-59 36-59 <NA>
## 201 36-59 36-59 <NA>
## 202 <NA> <NA>
## 203 <NA> <NA>
## 204 36-59 36-59 <NA>
## 205 36-59 <NA> 36-59
## 206 22-35 22-35 <NA>
## 207 <NA> <NA>
## 208 36-59 36-59 <NA>
## 209 22-35 22-35 <NA>
## 210 36-59 36-59 <NA>
## 211 <NA> <NA>
## 212 36-59 36-59 <NA>
## 213 36-59 <NA> 36-59
## 214 22-35 <NA> 22-35
## 215 36-59 36-59 <NA>
## 216 22-35 22-35 <NA>
## 217 <NA> <NA>
## 218 22-35 22-35 <NA>
## 219 <NA> <NA>
## 220 36-59 36-59 <NA>
## 221 22-35 22-35 <NA>
## 222 22-35 22-35 <NA>
## 223 36-59 36-59 <NA>
## 224 36-59 36-59 <NA>
## 225 22-35 22-35 <NA>
## 226 36-59 36-59 <NA>
## 227 22-35 22-35 <NA>
## 228 22-35 <NA> 22-35
## 229 22-35 22-35 <NA>
## 230 22-35 <NA> 22-35
## 231 36-59 <NA> 36-59
## 232 <NA> <NA>
## 233 <NA> <NA>
## 234 36-59 <NA> 36-59
## 235 36-59 <NA> 36-59
## 236 22-35 <NA> 22-35
## 237 22-35 22-35 <NA>
## 238 36-59 36-59 <NA>
## 239 22-35 <NA> 22-35
## 240 22-35 22-35 <NA>
## 241 22-35 <NA> 22-35
## 242 22-35 <NA> 22-35
## 243 36-59 36-59 <NA>
## 244 36-59 <NA> 36-59
## 245 22-35 22-35 <NA>
## 246 <NA> <NA>
## 247 <NA> <NA>
## 248 over60 over60 <NA>
## 249 36-59 36-59 <NA>
## 250 36-59 36-59 <NA>
## 251 18-21 18-21 <NA>
## 252 22-35 22-35 <NA>
## 253 36-59 36-59 <NA>
## 254 <NA> <NA>
## 255 22-35 22-35 <NA>
## 256 over60 over60 <NA>
## 257 36-59 <NA> 36-59
## 258 36-59 36-59 <NA>
## 259 22-35 <NA> 22-35
## 260 22-35 22-35 <NA>
## 261 22-35 <NA> 22-35
## 262 36-59 36-59 <NA>
## 263 22-35 <NA> 22-35
## 264 <NA> <NA>
## 265 22-35 <NA> 22-35
## 266 18-21 18-21 <NA>
## 267 36-59 36-59 <NA>
## 268 36-59 36-59 <NA>
## 269 22-35 22-35 <NA>
## 270 <NA> <NA>
## 271 36-59 36-59 <NA>
## 272 36-59 <NA> 36-59
## 273 22-35 22-35 <NA>
## 274 36-59 <NA> 36-59
## 275 22-35 <NA> 22-35
## 276 36-59 36-59 <NA>
## 277 36-59 36-59 <NA>
## 278 22-35 22-35 <NA>
## 279 36-59 36-59 <NA>
## 280 36-59 36-59 <NA>
## 281 36-59 <NA> 36-59
## 282 36-59 36-59 <NA>
## 283 22-35 22-35 <NA>
## 284 36-59 36-59 <NA>
## 285 36-59 36-59 <NA>
## 286 36-59 36-59 <NA>
## 287 36-59 36-59 <NA>
## 288 22-35 22-35 <NA>
## 289 22-35 <NA> 22-35
## 290 22-35 22-35 <NA>
## 291 22-35 22-35 <NA>
## 292 36-59 <NA> 36-59
## 293 36-59 36-59 <NA>
## 294 36-59 <NA> 36-59
## 295 22-35 <NA> 22-35
## 296 over60 <NA> over60
## 297 22-35 22-35 <NA>
## 298 36-59 <NA> 36-59
## 299 36-59 <NA> 36-59
## 300 22-35 22-35 <NA>
## 301 <NA> <NA>
## 302 36-59 36-59 <NA>
## 303 22-35 <NA> 22-35
## 304 22-35 22-35 <NA>
## 305 22-35 22-35 <NA>
## 306 <NA> <NA>
## 307 36-59 36-59 <NA>
## 308 36-59 36-59 <NA>
## 309 22-35 22-35 <NA>
## 310 36-59 <NA> 36-59
## 311 22-35 <NA> 22-35
## 312 36-59 36-59 <NA>
## 313 36-59 <NA> 36-59
## 314 36-59 36-59 <NA>
## 315 36-59 <NA> 36-59
## 316 22-35 <NA> 22-35
## 317 36-59 36-59 <NA>
## 318 36-59 36-59 <NA>
## 319 36-59 <NA> 36-59
## 320 36-59 <NA> 36-59
## 321 36-59 <NA> 36-59
## 322 22-35 <NA> 22-35
## 323 18-21 18-21 <NA>
## 324 22-35 22-35 <NA>
## 325 36-59 36-59 <NA>
## 326 <NA> <NA>
## 327 36-59 36-59 <NA>
## 328 36-59 36-59 <NA>
## 329 22-35 22-35 <NA>
## 330 36-59 36-59 <NA>
## 331 36-59 <NA> 36-59
## 332 22-35 22-35 <NA>
## 333 36-59 36-59 <NA>
## 334 36-59 36-59 <NA>
## 335 22-35 <NA> 22-35
## 336 36-59 36-59 <NA>
## 337 22-35 22-35 <NA>
## 338 22-35 22-35 <NA>
## 339 36-59 36-59 <NA>
## 340 22-35 <NA> 22-35
## 341 22-35 22-35 <NA>
## 342 36-59 <NA> 36-59
## 343 36-59 <NA> 36-59
## 344 36-59 36-59 <NA>
## 345 22-35 22-35 <NA>
## 346 22-35 22-35 <NA>
## 347 36-59 <NA> 36-59
## 348 36-59 36-59 <NA>
## 349 36-59 36-59 <NA>
## 350 36-59 36-59 <NA>
## 351 22-35 22-35 <NA>
## 352 22-35 <NA> 22-35
## 353 22-35 <NA> 22-35
## 354 22-35 22-35 <NA>
## 355 36-59 36-59 <NA>
## 356 22-35 22-35 <NA>
## 357 36-59 <NA> 36-59
## 358 22-35 <NA> 22-35
## 359 22-35 22-35 <NA>
## 360 36-59 36-59 <NA>
## 361 36-59 <NA> 36-59
## 362 22-35 <NA> 22-35
## 363 22-35 22-35 <NA>
## 364 36-59 <NA> 36-59
## 365 22-35 22-35 <NA>
## 366 36-59 <NA> 36-59
## 367 22-35 <NA> 22-35
## 368 22-35 <NA> 22-35
## 369 over60 over60 <NA>
## 370 22-35 22-35 <NA>
## 371 36-59 36-59 <NA>
## 372 36-59 <NA> 36-59
## 373 22-35 22-35 <NA>
## 374 <NA> <NA>
## 375 22-35 22-35 <NA>
## 376 36-59 36-59 <NA>
## 377 36-59 36-59 <NA>
## 378 36-59 36-59 <NA>
## 379 36-59 36-59 <NA>
## 380 22-35 <NA> 22-35
## 381 22-35 <NA> 22-35
## 382 <NA> <NA>
## 383 <NA> <NA>
## 384 22-35 <NA> 22-35
## 385 22-35 <NA> 22-35
## 386 36-59 <NA> 36-59
## 387 36-59 <NA> 36-59
## 388 22-35 <NA> 22-35
## 389 36-59 <NA> 36-59
## 390 <NA> <NA>
## 391 <NA> <NA>
## 392 36-59 <NA> 36-59
## 393 36-59 36-59 <NA>
## 394 22-35 <NA> 22-35
## 395 22-35 22-35 <NA>
## 396 22-35 22-35 <NA>
## 397 22-35 <NA> 22-35
## 398 36-59 36-59 <NA>
## 399 22-35 22-35 <NA>
## 400 22-35 22-35 <NA>
## 401 22-35 <NA> 22-35
## 402 36-59 <NA> 36-59
## 403 36-59 36-59 <NA>
## 404 36-59 36-59 <NA>
## 405 22-35 <NA> 22-35
## 406 36-59 36-59 <NA>data4 <- cbind(data4,datita2) #juntar la data.frame a la BD
data4$AGE## [1] "22-35" "36-59" "36-59" "36-59" "36-59" "36-59" "22-35" ""
## [9] "36-59" "36-59" "36-59" "22-35" "36-59" "36-59" "22-35" ""
## [17] "36-59" "22-35" "36-59" "36-59" "22-35" "22-35" "36-59" "22-35"
## [25] "22-35" "36-59" "" "22-35" "36-59" "22-35" "22-35" "22-35"
## [33] "36-59" "36-59" "22-35" "" "36-59" "22-35" "" "22-35"
## [41] "" "22-35" "22-35" "36-59" "36-59" "22-35" "36-59" "22-35"
## [49] "22-35" "22-35" "22-35" "36-59" "36-59" "22-35" "" "22-35"
## [57] "36-59" "36-59" "22-35" "22-35" "36-59" "" "22-35" "22-35"
## [65] "" "" "36-59" "36-59" "36-59" "over60" "22-35" "36-59"
## [73] "18-21" "36-59" "22-35" "22-35" "36-59" "36-59" "36-59" ""
## [81] "36-59" "over60" "22-35" "22-35" "36-59" "22-35" "36-59" "22-35"
## [89] "22-35" "22-35" "36-59" "22-35" "36-59" "22-35" "22-35" "36-59"
## [97] "36-59" "36-59" "22-35" "22-35" "36-59" "36-59" "36-59" "36-59"
## [105] "36-59" "22-35" "36-59" "22-35" "36-59" "36-59" "22-35" "22-35"
## [113] "36-59" "36-59" "" "36-59" "" "18-21" "22-35" "36-59"
## [121] "22-35" "22-35" "22-35" "22-35" "36-59" "36-59" "22-35" "36-59"
## [129] "36-59" "36-59" "36-59" "36-59" "22-35" "36-59" "36-59" "22-35"
## [137] "22-35" "36-59" "36-59" "36-59" "22-35" "36-59" "36-59" "22-35"
## [145] "22-35" "36-59" "" "36-59" "36-59" "22-35" "36-59" "over60"
## [153] "36-59" "36-59" "over60" "36-59" "18-21" "22-35" "36-59" "36-59"
## [161] "22-35" "36-59" "18-21" "36-59" "18-21" "22-35" "36-59" "36-59"
## [169] "36-59" "36-59" "36-59" "" "" "22-35" "36-59" "22-35"
## [177] "22-35" "22-35" "22-35" "36-59" "36-59" "36-59" "36-59" "22-35"
## [185] "22-35" "22-35" "22-35" "36-59" "" "" "36-59" "36-59"
## [193] "22-35" "36-59" "22-35" "36-59" "22-35" "" "36-59" "36-59"
## [201] "36-59" "" "" "36-59" "36-59" "22-35" "" "36-59"
## [209] "22-35" "36-59" "" "36-59" "36-59" "22-35" "36-59" "22-35"
## [217] "" "22-35" "" "36-59" "22-35" "22-35" "36-59" "36-59"
## [225] "22-35" "36-59" "22-35" "22-35" "22-35" "22-35" "36-59" ""
## [233] "" "36-59" "36-59" "22-35" "22-35" "36-59" "22-35" "22-35"
## [241] "22-35" "22-35" "36-59" "36-59" "22-35" "" "" "over60"
## [249] "36-59" "36-59" "18-21" "22-35" "36-59" "" "22-35" "over60"
## [257] "36-59" "36-59" "22-35" "22-35" "22-35" "36-59" "22-35" ""
## [265] "22-35" "18-21" "36-59" "36-59" "22-35" "" "36-59" "36-59"
## [273] "22-35" "36-59" "22-35" "36-59" "36-59" "22-35" "36-59" "36-59"
## [281] "36-59" "36-59" "22-35" "36-59" "36-59" "36-59" "36-59" "22-35"
## [289] "22-35" "22-35" "22-35" "36-59" "36-59" "36-59" "22-35" "over60"
## [297] "22-35" "36-59" "36-59" "22-35" "" "36-59" "22-35" "22-35"
## [305] "22-35" "" "36-59" "36-59" "22-35" "36-59" "22-35" "36-59"
## [313] "36-59" "36-59" "36-59" "22-35" "36-59" "36-59" "36-59" "36-59"
## [321] "36-59" "22-35" "18-21" "22-35" "36-59" "" "36-59" "36-59"
## [329] "22-35" "36-59" "36-59" "22-35" "36-59" "36-59" "22-35" "36-59"
## [337] "22-35" "22-35" "36-59" "22-35" "22-35" "36-59" "36-59" "36-59"
## [345] "22-35" "22-35" "36-59" "36-59" "36-59" "36-59" "22-35" "22-35"
## [353] "22-35" "22-35" "36-59" "22-35" "36-59" "22-35" "22-35" "36-59"
## [361] "36-59" "22-35" "22-35" "36-59" "22-35" "36-59" "22-35" "22-35"
## [369] "over60" "22-35" "36-59" "36-59" "22-35" "" "22-35" "36-59"
## [377] "36-59" "36-59" "36-59" "22-35" "22-35" "" "" "22-35"
## [385] "22-35" "36-59" "36-59" "22-35" "36-59" "" "" "36-59"
## [393] "36-59" "22-35" "22-35" "22-35" "22-35" "36-59" "22-35" "22-35"
## [401] "22-35" "36-59" "36-59" "36-59" "22-35" "36-59"# Eliminar casos duplicados
library(dplyr)
data4 <- select(data4,-age_range,-age_rangeother)
#data4 <- distinct(data4) #eliminar variables duplicadas; sin embargo, en este caso no aplica pues el nombre de la columna es distinto
data5 <- as_tibble(data4)
write_csv(data5, "C:/Users/MICHELLE/OneDrive/Escritorio/Rstudio_prac/Data para analizar con R.csv")# sexo
#sex
#sexother
library(tidyr)
#StringsAsFactor=F pues la funcion unite de tidyr no remueve los NA de factores
datota <- data.frame(sex,sexother,stringsAsFactors=F)
datota## sex sexother
## 1 <NA> male
## 2 <NA> male
## 3 <NA> male
## 4 female <NA>
## 5 female <NA>
## 6 <NA> male
## 7 <NA> male
## 8 female <NA>
## 9 <NA> male
## 10 <NA> female
## 11 <NA> female
## 12 <NA> male
## 13 <NA> male
## 14 female <NA>
## 15 <NA> male
## 16 male <NA>
## 17 <NA> male
## 18 female <NA>
## 19 <NA> male
## 20 <NA> male
## 21 <NA> male
## 22 female <NA>
## 23 <NA> male
## 24 female <NA>
## 25 <NA> male
## 26 male <NA>
## 27 male <NA>
## 28 <NA> male
## 29 <NA> male
## 30 <NA> female
## 31 male <NA>
## 32 <NA> male
## 33 female <NA>
## 34 female <NA>
## 35 <NA> male
## 36 male <NA>
## 37 <NA> female
## 38 female <NA>
## 39 <NA> male
## 40 <NA> male
## 41 male <NA>
## 42 male <NA>
## 43 male <NA>
## 44 female <NA>
## 45 <NA> male
## 46 <NA> male
## 47 female <NA>
## 48 <NA> <NA>
## 49 <NA> female
## 50 <NA> male
## 51 female <NA>
## 52 <NA> male
## 53 <NA> male
## 54 male <NA>
## 55 female <NA>
## 56 male <NA>
## 57 female <NA>
## 58 male <NA>
## 59 female <NA>
## 60 <NA> female
## 61 female <NA>
## 62 male <NA>
## 63 <NA> male
## 64 <NA> female
## 65 male <NA>
## 66 male <NA>
## 67 male <NA>
## 68 male <NA>
## 69 <NA> male
## 70 male <NA>
## 71 <NA> male
## 72 <NA> male
## 73 <NA> male
## 74 female <NA>
## 75 male <NA>
## 76 male <NA>
## 77 <NA> male
## 78 male <NA>
## 79 <NA> male
## 80 female <NA>
## 81 <NA> <NA>
## 82 <NA> female
## 83 <NA> male
## 84 female <NA>
## 85 female <NA>
## 86 <NA> male
## 87 female <NA>
## 88 <NA> male
## 89 female <NA>
## 90 <NA> male
## 91 <NA> male
## 92 <NA> male
## 93 female <NA>
## 94 <NA> male
## 95 male <NA>
## 96 female <NA>
## 97 male <NA>
## 98 male <NA>
## 99 female <NA>
## 100 female <NA>
## 101 <NA> male
## 102 female <NA>
## 103 female <NA>
## 104 <NA> female
## 105 male <NA>
## 106 <NA> male
## 107 male <NA>
## 108 <NA> male
## 109 male <NA>
## 110 female <NA>
## 111 <NA> female
## 112 <NA> <NA>
## 113 <NA> female
## 114 male <NA>
## 115 female <NA>
## 116 <NA> male
## 117 male <NA>
## 118 <NA> male
## 119 <NA> female
## 120 <NA> male
## 121 female <NA>
## 122 <NA> male
## 123 female <NA>
## 124 <NA> male
## 125 female <NA>
## 126 <NA> male
## 127 <NA> female
## 128 male <NA>
## 129 female <NA>
## 130 <NA> male
## 131 female <NA>
## 132 female <NA>
## 133 female <NA>
## 134 <NA> male
## 135 male <NA>
## 136 male <NA>
## 137 female <NA>
## 138 male <NA>
## 139 female <NA>
## 140 <NA> <NA>
## 141 <NA> <NA>
## 142 male <NA>
## 143 female <NA>
## 144 female <NA>
## 145 <NA> <NA>
## 146 <NA> male
## 147 <NA> male
## 148 <NA> male
## 149 <NA> male
## 150 <NA> male
## 151 <NA> <NA>
## 152 female <NA>
## 153 <NA> male
## 154 female <NA>
## 155 female <NA>
## 156 <NA> female
## 157 female <NA>
## 158 male <NA>
## 159 <NA> male
## 160 female <NA>
## 161 female <NA>
## 162 female <NA>
## 163 female <NA>
## 164 <NA> male
## 165 <NA> female
## 166 female <NA>
## 167 female <NA>
## 168 female <NA>
## 169 male <NA>
## 170 female <NA>
## 171 male <NA>
## 172 <NA> male
## 173 female <NA>
## 174 female <NA>
## 175 male <NA>
## 176 female <NA>
## 177 <NA> male
## 178 male <NA>
## 179 <NA> male
## 180 female <NA>
## 181 <NA> male
## 182 female <NA>
## 183 female <NA>
## 184 male <NA>
## 185 <NA> male
## 186 <NA> male
## 187 male <NA>
## 188 female <NA>
## 189 <NA> male
## 190 male <NA>
## 191 <NA> male
## 192 female <NA>
## 193 male <NA>
## 194 <NA> male
## 195 female <NA>
## 196 female <NA>
## 197 <NA> male
## 198 <NA> male
## 199 female <NA>
## 200 male <NA>
## 201 female <NA>
## 202 male <NA>
## 203 female <NA>
## 204 female <NA>
## 205 <NA> male
## 206 male <NA>
## 207 female <NA>
## 208 male <NA>
## 209 female <NA>
## 210 female <NA>
## 211 female <NA>
## 212 female <NA>
## 213 <NA> male
## 214 <NA> <NA>
## 215 male <NA>
## 216 male <NA>
## 217 <NA> male
## 218 male <NA>
## 219 female <NA>
## 220 female <NA>
## 221 male <NA>
## 222 female <NA>
## 223 <NA> <NA>
## 224 male <NA>
## 225 female <NA>
## 226 female <NA>
## 227 male <NA>
## 228 <NA> male
## 229 female <NA>
## 230 <NA> male
## 231 <NA> male
## 232 female <NA>
## 233 male <NA>
## 234 <NA> female
## 235 <NA> male
## 236 <NA> male
## 237 male <NA>
## 238 female <NA>
## 239 <NA> male
## 240 male <NA>
## 241 <NA> male
## 242 <NA> male
## 243 female <NA>
## 244 <NA> male
## 245 female <NA>
## 246 female <NA>
## 247 male <NA>
## 248 female <NA>
## 249 <NA> <NA>
## 250 female <NA>
## 251 male <NA>
## 252 female <NA>
## 253 female <NA>
## 254 female <NA>
## 255 male <NA>
## 256 female <NA>
## 257 <NA> male
## 258 male <NA>
## 259 <NA> male
## 260 male <NA>
## 261 <NA> male
## 262 female <NA>
## 263 <NA> male
## 264 female <NA>
## 265 <NA> female
## 266 female <NA>
## 267 female <NA>
## 268 female <NA>
## 269 female <NA>
## 270 male <NA>
## 271 female <NA>
## 272 <NA> male
## 273 male <NA>
## 274 <NA> male
## 275 <NA> male
## 276 female <NA>
## 277 female <NA>
## 278 female <NA>
## 279 female <NA>
## 280 male <NA>
## 281 <NA> male
## 282 male <NA>
## 283 male <NA>
## 284 male <NA>
## 285 female <NA>
## 286 female <NA>
## 287 female <NA>
## 288 female <NA>
## 289 <NA> male
## 290 male <NA>
## 291 male <NA>
## 292 <NA> female
## 293 female <NA>
## 294 <NA> male
## 295 <NA> male
## 296 <NA> male
## 297 male <NA>
## 298 <NA> female
## 299 <NA> male
## 300 male <NA>
## 301 female <NA>
## 302 male <NA>
## 303 <NA> male
## 304 male <NA>
## 305 male <NA>
## 306 male <NA>
## 307 male <NA>
## 308 male <NA>
## 309 male <NA>
## 310 <NA> male
## 311 <NA> female
## 312 female <NA>
## 313 <NA> male
## 314 female <NA>
## 315 <NA> male
## 316 <NA> male
## 317 female <NA>
## 318 male <NA>
## 319 <NA> male
## 320 <NA> male
## 321 <NA> male
## 322 <NA> male
## 323 male <NA>
## 324 male <NA>
## 325 male <NA>
## 326 female <NA>
## 327 female <NA>
## 328 female <NA>
## 329 male <NA>
## 330 <NA> <NA>
## 331 <NA> male
## 332 <NA> <NA>
## 333 female <NA>
## 334 female <NA>
## 335 <NA> male
## 336 female <NA>
## 337 female <NA>
## 338 female <NA>
## 339 male <NA>
## 340 <NA> male
## 341 female <NA>
## 342 <NA> male
## 343 <NA> male
## 344 female <NA>
## 345 female <NA>
## 346 male <NA>
## 347 <NA> male
## 348 female <NA>
## 349 female <NA>
## 350 male <NA>
## 351 male <NA>
## 352 <NA> male
## 353 <NA> male
## 354 female <NA>
## 355 male <NA>
## 356 female <NA>
## 357 <NA> male
## 358 <NA> male
## 359 male <NA>
## 360 male <NA>
## 361 <NA> male
## 362 <NA> male
## 363 female <NA>
## 364 <NA> male
## 365 male <NA>
## 366 <NA> male
## 367 <NA> male
## 368 <NA> male
## 369 female <NA>
## 370 male <NA>
## 371 female <NA>
## 372 <NA> female
## 373 female <NA>
## 374 female <NA>
## 375 male <NA>
## 376 female <NA>
## 377 male <NA>
## 378 male <NA>
## 379 female <NA>
## 380 <NA> male
## 381 <NA> male
## 382 male <NA>
## 383 male <NA>
## 384 <NA> male
## 385 <NA> female
## 386 <NA> male
## 387 <NA> male
## 388 <NA> male
## 389 <NA> male
## 390 male <NA>
## 391 <NA> male
## 392 <NA> male
## 393 female <NA>
## 394 <NA> male
## 395 female <NA>
## 396 female <NA>
## 397 <NA> male
## 398 male <NA>
## 399 female <NA>
## 400 female <NA>
## 401 <NA> male
## 402 <NA> male
## 403 female <NA>
## 404 female <NA>
## 405 <NA> male
## 406 female <NA>datota2 <- datota
# el uso de tidy-select ":" nos permite selecionar un rango de variables, entonces si tienes 100 va. puedes hacer col1:col100 siempre y cuando las variables sean consecutivas
datota2<-datota2%>%unite("SEX",sex:sexother,sep="",remove=F,na.rm=T)
datota2## SEX sex sexother
## 1 male <NA> male
## 2 male <NA> male
## 3 male <NA> male
## 4 female female <NA>
## 5 female female <NA>
## 6 male <NA> male
## 7 male <NA> male
## 8 female female <NA>
## 9 male <NA> male
## 10 female <NA> female
## 11 female <NA> female
## 12 male <NA> male
## 13 male <NA> male
## 14 female female <NA>
## 15 male <NA> male
## 16 male male <NA>
## 17 male <NA> male
## 18 female female <NA>
## 19 male <NA> male
## 20 male <NA> male
## 21 male <NA> male
## 22 female female <NA>
## 23 male <NA> male
## 24 female female <NA>
## 25 male <NA> male
## 26 male male <NA>
## 27 male male <NA>
## 28 male <NA> male
## 29 male <NA> male
## 30 female <NA> female
## 31 male male <NA>
## 32 male <NA> male
## 33 female female <NA>
## 34 female female <NA>
## 35 male <NA> male
## 36 male male <NA>
## 37 female <NA> female
## 38 female female <NA>
## 39 male <NA> male
## 40 male <NA> male
## 41 male male <NA>
## 42 male male <NA>
## 43 male male <NA>
## 44 female female <NA>
## 45 male <NA> male
## 46 male <NA> male
## 47 female female <NA>
## 48 <NA> <NA>
## 49 female <NA> female
## 50 male <NA> male
## 51 female female <NA>
## 52 male <NA> male
## 53 male <NA> male
## 54 male male <NA>
## 55 female female <NA>
## 56 male male <NA>
## 57 female female <NA>
## 58 male male <NA>
## 59 female female <NA>
## 60 female <NA> female
## 61 female female <NA>
## 62 male male <NA>
## 63 male <NA> male
## 64 female <NA> female
## 65 male male <NA>
## 66 male male <NA>
## 67 male male <NA>
## 68 male male <NA>
## 69 male <NA> male
## 70 male male <NA>
## 71 male <NA> male
## 72 male <NA> male
## 73 male <NA> male
## 74 female female <NA>
## 75 male male <NA>
## 76 male male <NA>
## 77 male <NA> male
## 78 male male <NA>
## 79 male <NA> male
## 80 female female <NA>
## 81 <NA> <NA>
## 82 female <NA> female
## 83 male <NA> male
## 84 female female <NA>
## 85 female female <NA>
## 86 male <NA> male
## 87 female female <NA>
## 88 male <NA> male
## 89 female female <NA>
## 90 male <NA> male
## 91 male <NA> male
## 92 male <NA> male
## 93 female female <NA>
## 94 male <NA> male
## 95 male male <NA>
## 96 female female <NA>
## 97 male male <NA>
## 98 male male <NA>
## 99 female female <NA>
## 100 female female <NA>
## 101 male <NA> male
## 102 female female <NA>
## 103 female female <NA>
## 104 female <NA> female
## 105 male male <NA>
## 106 male <NA> male
## 107 male male <NA>
## 108 male <NA> male
## 109 male male <NA>
## 110 female female <NA>
## 111 female <NA> female
## 112 <NA> <NA>
## 113 female <NA> female
## 114 male male <NA>
## 115 female female <NA>
## 116 male <NA> male
## 117 male male <NA>
## 118 male <NA> male
## 119 female <NA> female
## 120 male <NA> male
## 121 female female <NA>
## 122 male <NA> male
## 123 female female <NA>
## 124 male <NA> male
## 125 female female <NA>
## 126 male <NA> male
## 127 female <NA> female
## 128 male male <NA>
## 129 female female <NA>
## 130 male <NA> male
## 131 female female <NA>
## 132 female female <NA>
## 133 female female <NA>
## 134 male <NA> male
## 135 male male <NA>
## 136 male male <NA>
## 137 female female <NA>
## 138 male male <NA>
## 139 female female <NA>
## 140 <NA> <NA>
## 141 <NA> <NA>
## 142 male male <NA>
## 143 female female <NA>
## 144 female female <NA>
## 145 <NA> <NA>
## 146 male <NA> male
## 147 male <NA> male
## 148 male <NA> male
## 149 male <NA> male
## 150 male <NA> male
## 151 <NA> <NA>
## 152 female female <NA>
## 153 male <NA> male
## 154 female female <NA>
## 155 female female <NA>
## 156 female <NA> female
## 157 female female <NA>
## 158 male male <NA>
## 159 male <NA> male
## 160 female female <NA>
## 161 female female <NA>
## 162 female female <NA>
## 163 female female <NA>
## 164 male <NA> male
## 165 female <NA> female
## 166 female female <NA>
## 167 female female <NA>
## 168 female female <NA>
## 169 male male <NA>
## 170 female female <NA>
## 171 male male <NA>
## 172 male <NA> male
## 173 female female <NA>
## 174 female female <NA>
## 175 male male <NA>
## 176 female female <NA>
## 177 male <NA> male
## 178 male male <NA>
## 179 male <NA> male
## 180 female female <NA>
## 181 male <NA> male
## 182 female female <NA>
## 183 female female <NA>
## 184 male male <NA>
## 185 male <NA> male
## 186 male <NA> male
## 187 male male <NA>
## 188 female female <NA>
## 189 male <NA> male
## 190 male male <NA>
## 191 male <NA> male
## 192 female female <NA>
## 193 male male <NA>
## 194 male <NA> male
## 195 female female <NA>
## 196 female female <NA>
## 197 male <NA> male
## 198 male <NA> male
## 199 female female <NA>
## 200 male male <NA>
## 201 female female <NA>
## 202 male male <NA>
## 203 female female <NA>
## 204 female female <NA>
## 205 male <NA> male
## 206 male male <NA>
## 207 female female <NA>
## 208 male male <NA>
## 209 female female <NA>
## 210 female female <NA>
## 211 female female <NA>
## 212 female female <NA>
## 213 male <NA> male
## 214 <NA> <NA>
## 215 male male <NA>
## 216 male male <NA>
## 217 male <NA> male
## 218 male male <NA>
## 219 female female <NA>
## 220 female female <NA>
## 221 male male <NA>
## 222 female female <NA>
## 223 <NA> <NA>
## 224 male male <NA>
## 225 female female <NA>
## 226 female female <NA>
## 227 male male <NA>
## 228 male <NA> male
## 229 female female <NA>
## 230 male <NA> male
## 231 male <NA> male
## 232 female female <NA>
## 233 male male <NA>
## 234 female <NA> female
## 235 male <NA> male
## 236 male <NA> male
## 237 male male <NA>
## 238 female female <NA>
## 239 male <NA> male
## 240 male male <NA>
## 241 male <NA> male
## 242 male <NA> male
## 243 female female <NA>
## 244 male <NA> male
## 245 female female <NA>
## 246 female female <NA>
## 247 male male <NA>
## 248 female female <NA>
## 249 <NA> <NA>
## 250 female female <NA>
## 251 male male <NA>
## 252 female female <NA>
## 253 female female <NA>
## 254 female female <NA>
## 255 male male <NA>
## 256 female female <NA>
## 257 male <NA> male
## 258 male male <NA>
## 259 male <NA> male
## 260 male male <NA>
## 261 male <NA> male
## 262 female female <NA>
## 263 male <NA> male
## 264 female female <NA>
## 265 female <NA> female
## 266 female female <NA>
## 267 female female <NA>
## 268 female female <NA>
## 269 female female <NA>
## 270 male male <NA>
## 271 female female <NA>
## 272 male <NA> male
## 273 male male <NA>
## 274 male <NA> male
## 275 male <NA> male
## 276 female female <NA>
## 277 female female <NA>
## 278 female female <NA>
## 279 female female <NA>
## 280 male male <NA>
## 281 male <NA> male
## 282 male male <NA>
## 283 male male <NA>
## 284 male male <NA>
## 285 female female <NA>
## 286 female female <NA>
## 287 female female <NA>
## 288 female female <NA>
## 289 male <NA> male
## 290 male male <NA>
## 291 male male <NA>
## 292 female <NA> female
## 293 female female <NA>
## 294 male <NA> male
## 295 male <NA> male
## 296 male <NA> male
## 297 male male <NA>
## 298 female <NA> female
## 299 male <NA> male
## 300 male male <NA>
## 301 female female <NA>
## 302 male male <NA>
## 303 male <NA> male
## 304 male male <NA>
## 305 male male <NA>
## 306 male male <NA>
## 307 male male <NA>
## 308 male male <NA>
## 309 male male <NA>
## 310 male <NA> male
## 311 female <NA> female
## 312 female female <NA>
## 313 male <NA> male
## 314 female female <NA>
## 315 male <NA> male
## 316 male <NA> male
## 317 female female <NA>
## 318 male male <NA>
## 319 male <NA> male
## 320 male <NA> male
## 321 male <NA> male
## 322 male <NA> male
## 323 male male <NA>
## 324 male male <NA>
## 325 male male <NA>
## 326 female female <NA>
## 327 female female <NA>
## 328 female female <NA>
## 329 male male <NA>
## 330 <NA> <NA>
## 331 male <NA> male
## 332 <NA> <NA>
## 333 female female <NA>
## 334 female female <NA>
## 335 male <NA> male
## 336 female female <NA>
## 337 female female <NA>
## 338 female female <NA>
## 339 male male <NA>
## 340 male <NA> male
## 341 female female <NA>
## 342 male <NA> male
## 343 male <NA> male
## 344 female female <NA>
## 345 female female <NA>
## 346 male male <NA>
## 347 male <NA> male
## 348 female female <NA>
## 349 female female <NA>
## 350 male male <NA>
## 351 male male <NA>
## 352 male <NA> male
## 353 male <NA> male
## 354 female female <NA>
## 355 male male <NA>
## 356 female female <NA>
## 357 male <NA> male
## 358 male <NA> male
## 359 male male <NA>
## 360 male male <NA>
## 361 male <NA> male
## 362 male <NA> male
## 363 female female <NA>
## 364 male <NA> male
## 365 male male <NA>
## 366 male <NA> male
## 367 male <NA> male
## 368 male <NA> male
## 369 female female <NA>
## 370 male male <NA>
## 371 female female <NA>
## 372 female <NA> female
## 373 female female <NA>
## 374 female female <NA>
## 375 male male <NA>
## 376 female female <NA>
## 377 male male <NA>
## 378 male male <NA>
## 379 female female <NA>
## 380 male <NA> male
## 381 male <NA> male
## 382 male male <NA>
## 383 male male <NA>
## 384 male <NA> male
## 385 female <NA> female
## 386 male <NA> male
## 387 male <NA> male
## 388 male <NA> male
## 389 male <NA> male
## 390 male male <NA>
## 391 male <NA> male
## 392 male <NA> male
## 393 female female <NA>
## 394 male <NA> male
## 395 female female <NA>
## 396 female female <NA>
## 397 male <NA> male
## 398 male male <NA>
## 399 female female <NA>
## 400 female female <NA>
## 401 male <NA> male
## 402 male <NA> male
## 403 female female <NA>
## 404 female female <NA>
## 405 male <NA> male
## 406 female female <NA>data4 <- cbind(data4,datota2) #juntar la data.frame a la BD
data4$SEX## [1] "male" "male" "male" "female" "female" "male" "male" "female"
## [9] "male" "female" "female" "male" "male" "female" "male" "male"
## [17] "male" "female" "male" "male" "male" "female" "male" "female"
## [25] "male" "male" "male" "male" "male" "female" "male" "male"
## [33] "female" "female" "male" "male" "female" "female" "male" "male"
## [41] "male" "male" "male" "female" "male" "male" "female" ""
## [49] "female" "male" "female" "male" "male" "male" "female" "male"
## [57] "female" "male" "female" "female" "female" "male" "male" "female"
## [65] "male" "male" "male" "male" "male" "male" "male" "male"
## [73] "male" "female" "male" "male" "male" "male" "male" "female"
## [81] "" "female" "male" "female" "female" "male" "female" "male"
## [89] "female" "male" "male" "male" "female" "male" "male" "female"
## [97] "male" "male" "female" "female" "male" "female" "female" "female"
## [105] "male" "male" "male" "male" "male" "female" "female" ""
## [113] "female" "male" "female" "male" "male" "male" "female" "male"
## [121] "female" "male" "female" "male" "female" "male" "female" "male"
## [129] "female" "male" "female" "female" "female" "male" "male" "male"
## [137] "female" "male" "female" "" "" "male" "female" "female"
## [145] "" "male" "male" "male" "male" "male" "" "female"
## [153] "male" "female" "female" "female" "female" "male" "male" "female"
## [161] "female" "female" "female" "male" "female" "female" "female" "female"
## [169] "male" "female" "male" "male" "female" "female" "male" "female"
## [177] "male" "male" "male" "female" "male" "female" "female" "male"
## [185] "male" "male" "male" "female" "male" "male" "male" "female"
## [193] "male" "male" "female" "female" "male" "male" "female" "male"
## [201] "female" "male" "female" "female" "male" "male" "female" "male"
## [209] "female" "female" "female" "female" "male" "" "male" "male"
## [217] "male" "male" "female" "female" "male" "female" "" "male"
## [225] "female" "female" "male" "male" "female" "male" "male" "female"
## [233] "male" "female" "male" "male" "male" "female" "male" "male"
## [241] "male" "male" "female" "male" "female" "female" "male" "female"
## [249] "" "female" "male" "female" "female" "female" "male" "female"
## [257] "male" "male" "male" "male" "male" "female" "male" "female"
## [265] "female" "female" "female" "female" "female" "male" "female" "male"
## [273] "male" "male" "male" "female" "female" "female" "female" "male"
## [281] "male" "male" "male" "male" "female" "female" "female" "female"
## [289] "male" "male" "male" "female" "female" "male" "male" "male"
## [297] "male" "female" "male" "male" "female" "male" "male" "male"
## [305] "male" "male" "male" "male" "male" "male" "female" "female"
## [313] "male" "female" "male" "male" "female" "male" "male" "male"
## [321] "male" "male" "male" "male" "male" "female" "female" "female"
## [329] "male" "" "male" "" "female" "female" "male" "female"
## [337] "female" "female" "male" "male" "female" "male" "male" "female"
## [345] "female" "male" "male" "female" "female" "male" "male" "male"
## [353] "male" "female" "male" "female" "male" "male" "male" "male"
## [361] "male" "male" "female" "male" "male" "male" "male" "male"
## [369] "female" "male" "female" "female" "female" "female" "male" "female"
## [377] "male" "male" "female" "male" "male" "male" "male" "male"
## [385] "female" "male" "male" "male" "male" "male" "male" "male"
## [393] "female" "male" "female" "female" "male" "male" "female" "female"
## [401] "male" "male" "female" "female" "male" "female"# Eliminar casos duplicados
library(dplyr)
data4 <- select(data4,-sex,-sexother) #eliminando
#data4 <- distinct(data4) #eliminar variables duplicadas; sin embargo, en este caso no aplica pues el nombre de la columna es distinto
data5 <- as_tibble(data4)
write_csv(data5, "C:/Users/MICHELLE/OneDrive/Escritorio/Rstudio_prac/Data para analizar con R.csv")# output: false
attach(data5)## The following objects are masked from data4:
##
## abduction_o_rkidnapping_asylum, abduction_o_rkidnapping_orgin,
## abduction_o_rkidnapping_othercity, abduction_o_rkidnapping_trip,
## able_bodied, applied_refugee, appliedrejected,
## arrest_o_rdetention_asylum, arrest_o_rdetention_orgin,
## arrest_o_rdetention_othercity, arrest_o_rdetention_trip,
## arrive_thiscountry, bathroom, childinschool, childvirtualed,
## childwhynotschool_childwork, childwhynotschool_disability,
## childwhynotschool_discrimethnic, childwhynotschool_discrimnation,
## childwhynotschool_disease, childwhynotschool_failedschool,
## childwhynotschool_fearschool, childwhynotschool_finished,
## childwhynotschool_helphome, childwhynotschool_intransit,
## childwhynotschool_nodocs, childwhynotschool_noinfo,
## childwhynotschool_nointerest, childwhynotschool_nolanguage,
## childwhynotschool_nomoney, childwhynotschool_noschools,
## childwhynotschool_nospot, childwhynotschool_notransport,
## childwhynotschool_other, childwhynotschool_pregnancy,
## childwhynotschool_recentlyarrive, childwhynotschool_toolate,
## communication, confined_asylum, confined_orgin, confined_othercity,
## consent_score, coping_mechanism1_aid_agency,
## coping_mechanism1_aid_host, coping_mechanism1_borrow_money,
## coping_mechanism1_changed_shelter,
## coping_mechanism1_family_support,
## coping_mechanism1_limit_adult_food, coping_mechanism1_none,
## coping_mechanism1_notell, coping_mechanism1_other,
## coping_mechanism1_reduce_exp, coping_mechanism1_reduced_food,
## coping_mechanism1_sell_assets, coping_mechanism1_skipped_rent,
## coping_mechanism1_use_savings, coping_mechanism1_work_food,
## coping_mechanism2_beg, coping_mechanism2_childmarriage,
## coping_mechanism2_foodscrap, coping_mechanism2_none,
## coping_mechanism2_notell, coping_mechanism2_other,
## coping_mechanism2_sendchild, coping_mechanism2_survivalsex,
## coping_mechanism2_workchild, country_of_asylum,
## covidimpact_amenaza, covidimpact_amenazadesa,
## covidimpact_corteserv, covidimpact_desalojo, covidimpact_deuda,
## covidimpact_educlimitada, covidimpact_noneimp,
## covidimpact_otherimp, covidimpact_saludfisica,
## covidimpact_saludmental1, covidimpact_saludmental2, crossedborder,
## departure_date, dependency_category, dependency_ratio,
## deport_country_argentina, deport_country_bolivia,
## deport_country_brazil, deport_country_chile,
## deport_country_colombia, deport_country_costa_rica,
## deport_country_cuba, deport_country_curacao,
## deport_country_ecuador, deport_country_guatemala,
## deport_country_honduras, deport_country_mexico,
## deport_country_other, deport_country_panama, deport_country_peru,
## deport_country_suriname, deport_country_usa,
## deport_country_venezuela, deportation_asylum, deportation_orgin,
## deportation_prefer_not, deportation_trip,
## destruction_property_asylum, destruction_property_orgin,
## destruction_property_othercity, destruction_property_trip,
## disabilityacc_disabilityserv, disabilityacc_docacc,
## disabilityacc_houselimit, disabilityacc_none,
## disabilityacc_privins, disabilityacc_publicins,
## disabilityacc_pubspaces, disabilityacc_transport,
## disabilityacc_worklimit, discriminated, discriminated_reasons_age,
## discriminated_reasons_disability, discriminated_reasons_ethnictiy,
## discriminated_reasons_female, discriminated_reasons_gender,
## discriminated_reasons_male, discriminated_reasons_nationality,
## discriminated_reasons_other, discriminated_reasons_religion,
## dispossetion_asylum, dispossetion_orgin, dispossetion_othercity,
## dispossetion_trip, doc_residence, documentation_birthcertif,
## documentation_id, documentation_idexp, documentation_none,
## documentation_notell, documentation_other, documentation_passport,
## documentation_passportexp, electricity, employment_opp,
## eviction_asylum, eviction_orgin, eviction_othercity,
## eviction_prefer_not, eviction_trip, evictionthreat_asylum,
## evictionthreat_orgin, evictionthreat_othercity,
## evictionthreat_trip, exploitationsex_asylum, exploitationsex_orgin,
## exploitationsex_othercity, exploitationwork_asylum,
## exploitationwork_orgin, exploitationwork_othercity,
## exploitationwork_trip, familiy_left, feel_safe,
## forceddisplaced_asylum, forceddisplaced_orgin,
## forceddisplaced_othercity, forceddisplaced_trip, fraud_asylum,
## fraud_orgin, fraud_othercity, fraud_trip, groupsize, headof,
## homicide_asylum, homicide_orgin, homicide_othercity, homicide_trip,
## household_leftbehind, housingtype, id,
## income4basicneeds_actividadeco, income4basicneeds_ahorro,
## income4basicneeds_apoyocomm, income4basicneeds_apoyohuman,
## income4basicneeds_nosource, income4basicneeds_othersource,
## income4basicneeds_remesas, income4basicneeds_venderbienes,
## intention, intentionmove, intentionspctr, interaction,
## interviewstat, isolation, jobafter, jobbefore,
## kidscannotschool_no_mat_cupo, kidscannotschool_no_mat_rec,
## kidscannotschool_otro_educ, kidscannotschool_sin_recuros,
## kidscanschoolhow_downloadplat, kidscanschoolhow_interactplat,
## kidscanschoolhow_materialsdeliv, kidscanschoolhow_materialswhats,
## kidscanschoolhow_radioortv, marital_status, marital_statusother,
## mealsperday, measure_acuerdoarren, measure_asistlegal,
## measure_extension, measure_mudarhost, measure_mudartemp,
## measure_nonem, measure_otherm, measure_prestamo,
## measure_regresopai, medical_attention, medical_received,
## medical_type_center, medical_type_clinic, medical_type_hospital,
## medical_type_other, medicowhat_atenpsicosoc,
## medicowhat_enfercronicas, medicowhat_otrono_c19,
## medicowhat_prenatalpediatrico, medicowhat_prueba_c19,
## medicowhat_tratamiento_c19, mentalhealthsymp_couple,
## mentalhealthsymp_famfriend, mentalhealthsymp_ngos,
## mentalhealthsymp_no_one, mentalhealthsymp_none,
## mentalhealthsymp_notell, mentalhealthsymp_other,
## mentalhealthsymp_religious, mentalhealthsymp_stateresource,
## mentalhealthsymp_unorgs, minorsleft, monitoring_date, nationality,
## not_asylum_costs, not_asylum_distance, not_asylum_lack_of_docume,
## not_asylum_lack_of_inform, not_asylum_lack_time,
## not_asylum_not_allowed_in, not_asylum_other,
## physical_assault_asylum, physical_assault_orgin,
## physical_assault_othercity, physical_assault_trip, pressneeds,
## prevdeport_none, prevdeport_yes_forcedreturn,
## prevdeport_yes_refusedentry, prevdeport_yesdeport,
## probconvivencia_cargadomes, probconvivencia_conflictos,
## probconvivencia_ninosdif, probconvivencia_noseguro,
## probconvivencia_parejadif, probconvivencia_sin_problema,
## razon_falta_asist_med_atencion_negad,
## razon_falta_asist_med_atencion_susp,
## razon_falta_asist_med_falta_if, razon_falta_asist_med_falta_info,
## razon_falta_asist_med_falta_recursos,
## razon_falta_asist_med_falta_seg_med,
## razon_falta_asist_med_otro_at_med, razon_riesgo_autoridades,
## razon_riesgo_no_pago, razon_riesgo_other,
## razon_riesgo_propietarioa, razon_riesgo_vencio_plazo,
## razon_violencia_aumenta_aislamien,
## razon_violencia_aumenta_dependen, razon_violencia_aumenta_economi,
## razon_violencia_aumenta_estres, razon_violencia_aumenta_justicia,
## razon_violencia_aumenta_otro_viol,
## razon_violencia_aumenta_servici_gbv, reasons_stayed_border_close,
## reasons_stayed_care_property, reasons_stayed_caring_dependant,
## reasons_stayed_continued, reasons_stayed_dont_know,
## reasons_stayed_health_prob, reasons_stayed_lack_docs,
## reasons_stayed_lack_funds, reasons_stayed_notell,
## reasons_stayed_old_age, reasons_stayed_other,
## reasons_stayed_othercountry, reasons_stayed_returned,
## reasons_stayed_security, reasons_stayed_stayed,
## reasons_stayed_work_study, reasonsreturn_discrim,
## reasonsreturn_familyleft, reasonsreturn_houseloss,
## reasonsreturn_jobloss, reasonsreturn_nodocs, reasonsreturn_nomeds,
## reasonsreturn_other, reasonsreturn_violence, regular_entry,
## remoteorinperson, risk_return_armedgroup, risk_return_assaulted,
## risk_return_extorsion, risk_return_healthrisk,
## risk_return_insecurity, risk_return_lackfood, risk_return_medical,
## risk_return_other, risk_return_recruited,
## risk_return_risk_prefer_not, risk_return_subsistence,
## risk_return_threat, risk_return_violence, risk_stay_armedgroup,
## risk_stay_assaulted, risk_stay_extorsion, risk_stay_healthrisk,
## risk_stay_insecurity, risk_stay_lackfood, risk_stay_medical,
## risk_stay_other, risk_stay_recruited, risk_stay_subsistence,
## risk_stay_threat, risk_stay_violence, risk_yes, route_incident,
## route_incident_type_abduction, route_incident_type_arrest,
## route_incident_type_bribery, route_incident_type_confine,
## route_incident_type_deportation, route_incident_type_despojo,
## route_incident_type_destruct_prop, route_incident_type_displaced,
## route_incident_type_eviction, route_incident_type_evictionthreat,
## route_incident_type_exploitsex, route_incident_type_exploitwork,
## route_incident_type_force_disappear,
## route_incident_type_forced_recruit, route_incident_type_fraud,
## route_incident_type_homicide, route_incident_type_notell,
## route_incident_type_other, route_incident_type_phys_assault,
## route_incident_type_sexual_assault, route_incident_type_theft,
## route_incident_type_threat, route_incident_type_torture,
## route_incident_typenodisp_abduct, route_incident_typenodisp_arrest,
## route_incident_typenodisp_bribery,
## route_incident_typenodisp_deportat,
## route_incident_typenodisp_destr_pro,
## route_incident_typenodisp_evicthr,
## route_incident_typenodisp_eviction,
## route_incident_typenodisp_explsex,
## route_incident_typenodisp_explwork,
## route_incident_typenodisp_fraud,
## route_incident_typenodisp_homicide,
## route_incident_typenodisp_other,
## route_incident_typenodisp_phys_ass,
## route_incident_typenodisp_sex_ass, route_incident_typenodisp_theft,
## route_incident_typenodisp_threat, sexual_assault_asylum,
## sexual_assault_orgin, sexual_assault_othercity,
## sexual_assault_trip, short_cbi, social_benefit_communities,
## social_benefit_gov_auxdoenca, social_benefit_gov_auxilio,
## social_benefit_gov_bolsa, social_benefit_gov_bpc,
## social_benefit_gov_other, social_benefit_gvt, social_benefit_ngo,
## social_benefit_none, social_benefit_other,
## social_benefit_religious, social_benefit_type_cash,
## social_benefit_type_education, social_benefit_type_foodbag,
## social_benefit_type_foodcard, social_benefit_type_foodkit,
## social_benefit_type_foodration, social_benefit_type_housing,
## social_benefit_type_hygiene, social_benefit_type_livelihood,
## social_benefit_type_med, social_benefit_type_medical,
## social_benefit_type_other, social_benefit_type_pss,
## social_benefit_type_psych, social_benefit_type_relocate,
## specific_needs_none, stafforpartner, theft_asylum, theft_orgin,
## theft_othercity, theft_prefer_not, theft_trip, threat_asylum,
## threat_orgin, threat_othercity, threat_trip, total_adult,
## total_adult_female, total_adult_male, total_minor,
## total_minor_female, total_minor_male, transit_countries_argentina,
## transit_countries_bolivia, transit_countries_brazil,
## transit_countries_canada, transit_countries_chile,
## transit_countries_colombia, transit_countries_cuba,
## transit_countries_ecuador, transit_countries_nicaragua,
## transit_countries_other, transit_countries_panama,
## transit_countries_paraguay, transit_countries_peru,
## transit_countries_uruguay, transit_countries_venezuela,
## transport_method_boat, transport_method_bus, transport_method_car,
## transport_method_hitch_hiking, transport_method_other,
## transport_method_plane, transport_method_taxi,
## transport_method_walk, water, weight, whynot_medical_denied,
## whynot_medical_distance, whynot_medical_feararrested,
## whynot_medical_no_id, whynot_medical_noinfo,
## whynot_medical_noinsurance, whynot_medical_nomoney,
## whynot_medical_notavailable, whynot_medical_other,
## workchangedhow_aumento_horas, workchangedhow_aumento_trabajo,
## workchangedhow_negocio, workchangedhow_otro_laboral#install.packages("crosstable")
library(crosstable)##
## Attaching package: 'crosstable'## The following object is masked from 'package:purrr':
##
## compactlibrary(flextable)##
## Attaching package: 'flextable'## The following object is masked from 'package:purrr':
##
## composelibrary(labelled)##
## Attaching package: 'labelled'## The following object is masked from 'package:crosstable':
##
## remove_labelslibrary(stringr)
var_label(data5$AGE) <- "Grupo_etario"
var_label(data5$SEX) <- "Genero"
tabulado <- function(pregunta) {crosstable(data5, c(AGE, SEX), by = pregunta, total = "both",
percent_digits = 1, percent_pattern = "{p_row}") %>% as_flextable(label = TRUE)}
tab_edad <- function(pregunta) {crosstable(data5, AGE, by = pregunta, total = "both", percent_digits = 1, percent_pattern = "{p_row}") %>% as_flextable(label = TRUE, keep_id = FALSE)}
tab_genero <- function(pregunta) {crosstable(data5, SEX, by = pregunta, total = "both", percent_digits = 1, percent_pattern = "{p_row}") %>% as_flextable(label = TRUE, keep_id = FALSE)}
attach(data5)## The following objects are masked from data5 (pos = 6):
##
## abduction_o_rkidnapping_asylum, abduction_o_rkidnapping_orgin,
## abduction_o_rkidnapping_othercity, abduction_o_rkidnapping_trip,
## able_bodied, AGE, applied_refugee, appliedrejected,
## arrest_o_rdetention_asylum, arrest_o_rdetention_orgin,
## arrest_o_rdetention_othercity, arrest_o_rdetention_trip,
## arrive_thiscountry, bathroom, childinschool, childvirtualed,
## childwhynotschool_childwork, childwhynotschool_disability,
## childwhynotschool_discrimethnic, childwhynotschool_discrimnation,
## childwhynotschool_disease, childwhynotschool_failedschool,
## childwhynotschool_fearschool, childwhynotschool_finished,
## childwhynotschool_helphome, childwhynotschool_intransit,
## childwhynotschool_nodocs, childwhynotschool_noinfo,
## childwhynotschool_nointerest, childwhynotschool_nolanguage,
## childwhynotschool_nomoney, childwhynotschool_noschools,
## childwhynotschool_nospot, childwhynotschool_notransport,
## childwhynotschool_other, childwhynotschool_pregnancy,
## childwhynotschool_recentlyarrive, childwhynotschool_toolate,
## communication, confined_asylum, confined_orgin, confined_othercity,
## consent_score, coping_mechanism1_aid_agency,
## coping_mechanism1_aid_host, coping_mechanism1_borrow_money,
## coping_mechanism1_changed_shelter,
## coping_mechanism1_family_support,
## coping_mechanism1_limit_adult_food, coping_mechanism1_none,
## coping_mechanism1_notell, coping_mechanism1_other,
## coping_mechanism1_reduce_exp, coping_mechanism1_reduced_food,
## coping_mechanism1_sell_assets, coping_mechanism1_skipped_rent,
## coping_mechanism1_use_savings, coping_mechanism1_work_food,
## coping_mechanism2_beg, coping_mechanism2_childmarriage,
## coping_mechanism2_foodscrap, coping_mechanism2_none,
## coping_mechanism2_notell, coping_mechanism2_other,
## coping_mechanism2_sendchild, coping_mechanism2_survivalsex,
## coping_mechanism2_workchild, country_of_asylum,
## covidimpact_amenaza, covidimpact_amenazadesa,
## covidimpact_corteserv, covidimpact_desalojo, covidimpact_deuda,
## covidimpact_educlimitada, covidimpact_noneimp,
## covidimpact_otherimp, covidimpact_saludfisica,
## covidimpact_saludmental1, covidimpact_saludmental2, crossedborder,
## departure_date, dependency_category, dependency_ratio,
## deport_country_argentina, deport_country_bolivia,
## deport_country_brazil, deport_country_chile,
## deport_country_colombia, deport_country_costa_rica,
## deport_country_cuba, deport_country_curacao,
## deport_country_ecuador, deport_country_guatemala,
## deport_country_honduras, deport_country_mexico,
## deport_country_other, deport_country_panama, deport_country_peru,
## deport_country_suriname, deport_country_usa,
## deport_country_venezuela, deportation_asylum, deportation_orgin,
## deportation_prefer_not, deportation_trip,
## destruction_property_asylum, destruction_property_orgin,
## destruction_property_othercity, destruction_property_trip,
## disabilityacc_disabilityserv, disabilityacc_docacc,
## disabilityacc_houselimit, disabilityacc_none,
## disabilityacc_privins, disabilityacc_publicins,
## disabilityacc_pubspaces, disabilityacc_transport,
## disabilityacc_worklimit, discriminated, discriminated_reasons_age,
## discriminated_reasons_disability, discriminated_reasons_ethnictiy,
## discriminated_reasons_female, discriminated_reasons_gender,
## discriminated_reasons_male, discriminated_reasons_nationality,
## discriminated_reasons_other, discriminated_reasons_religion,
## dispossetion_asylum, dispossetion_orgin, dispossetion_othercity,
## dispossetion_trip, doc_residence, documentation_birthcertif,
## documentation_id, documentation_idexp, documentation_none,
## documentation_notell, documentation_other, documentation_passport,
## documentation_passportexp, electricity, employment_opp,
## eviction_asylum, eviction_orgin, eviction_othercity,
## eviction_prefer_not, eviction_trip, evictionthreat_asylum,
## evictionthreat_orgin, evictionthreat_othercity,
## evictionthreat_trip, exploitationsex_asylum, exploitationsex_orgin,
## exploitationsex_othercity, exploitationwork_asylum,
## exploitationwork_orgin, exploitationwork_othercity,
## exploitationwork_trip, familiy_left, feel_safe,
## forceddisplaced_asylum, forceddisplaced_orgin,
## forceddisplaced_othercity, forceddisplaced_trip, fraud_asylum,
## fraud_orgin, fraud_othercity, fraud_trip, groupsize, headof,
## homicide_asylum, homicide_orgin, homicide_othercity, homicide_trip,
## household_leftbehind, housingtype, id,
## income4basicneeds_actividadeco, income4basicneeds_ahorro,
## income4basicneeds_apoyocomm, income4basicneeds_apoyohuman,
## income4basicneeds_nosource, income4basicneeds_othersource,
## income4basicneeds_remesas, income4basicneeds_venderbienes,
## intention, intentionmove, intentionspctr, interaction,
## interviewstat, isolation, jobafter, jobbefore,
## kidscannotschool_no_mat_cupo, kidscannotschool_no_mat_rec,
## kidscannotschool_otro_educ, kidscannotschool_sin_recuros,
## kidscanschoolhow_downloadplat, kidscanschoolhow_interactplat,
## kidscanschoolhow_materialsdeliv, kidscanschoolhow_materialswhats,
## kidscanschoolhow_radioortv, marital_status, marital_statusother,
## mealsperday, measure_acuerdoarren, measure_asistlegal,
## measure_extension, measure_mudarhost, measure_mudartemp,
## measure_nonem, measure_otherm, measure_prestamo,
## measure_regresopai, medical_attention, medical_received,
## medical_type_center, medical_type_clinic, medical_type_hospital,
## medical_type_other, medicowhat_atenpsicosoc,
## medicowhat_enfercronicas, medicowhat_otrono_c19,
## medicowhat_prenatalpediatrico, medicowhat_prueba_c19,
## medicowhat_tratamiento_c19, mentalhealthsymp_couple,
## mentalhealthsymp_famfriend, mentalhealthsymp_ngos,
## mentalhealthsymp_no_one, mentalhealthsymp_none,
## mentalhealthsymp_notell, mentalhealthsymp_other,
## mentalhealthsymp_religious, mentalhealthsymp_stateresource,
## mentalhealthsymp_unorgs, minorsleft, monitoring_date, nationality,
## not_asylum_costs, not_asylum_distance, not_asylum_lack_of_docume,
## not_asylum_lack_of_inform, not_asylum_lack_time,
## not_asylum_not_allowed_in, not_asylum_other,
## physical_assault_asylum, physical_assault_orgin,
## physical_assault_othercity, physical_assault_trip, pressneeds,
## prevdeport_none, prevdeport_yes_forcedreturn,
## prevdeport_yes_refusedentry, prevdeport_yesdeport,
## probconvivencia_cargadomes, probconvivencia_conflictos,
## probconvivencia_ninosdif, probconvivencia_noseguro,
## probconvivencia_parejadif, probconvivencia_sin_problema,
## razon_falta_asist_med_atencion_negad,
## razon_falta_asist_med_atencion_susp,
## razon_falta_asist_med_falta_if, razon_falta_asist_med_falta_info,
## razon_falta_asist_med_falta_recursos,
## razon_falta_asist_med_falta_seg_med,
## razon_falta_asist_med_otro_at_med, razon_riesgo_autoridades,
## razon_riesgo_no_pago, razon_riesgo_other,
## razon_riesgo_propietarioa, razon_riesgo_vencio_plazo,
## razon_violencia_aumenta_aislamien,
## razon_violencia_aumenta_dependen, razon_violencia_aumenta_economi,
## razon_violencia_aumenta_estres, razon_violencia_aumenta_justicia,
## razon_violencia_aumenta_otro_viol,
## razon_violencia_aumenta_servici_gbv, reasons_stayed_border_close,
## reasons_stayed_care_property, reasons_stayed_caring_dependant,
## reasons_stayed_continued, reasons_stayed_dont_know,
## reasons_stayed_health_prob, reasons_stayed_lack_docs,
## reasons_stayed_lack_funds, reasons_stayed_notell,
## reasons_stayed_old_age, reasons_stayed_other,
## reasons_stayed_othercountry, reasons_stayed_returned,
## reasons_stayed_security, reasons_stayed_stayed,
## reasons_stayed_work_study, reasonsreturn_discrim,
## reasonsreturn_familyleft, reasonsreturn_houseloss,
## reasonsreturn_jobloss, reasonsreturn_nodocs, reasonsreturn_nomeds,
## reasonsreturn_other, reasonsreturn_violence, regular_entry,
## remoteorinperson, risk_return_armedgroup, risk_return_assaulted,
## risk_return_extorsion, risk_return_healthrisk,
## risk_return_insecurity, risk_return_lackfood, risk_return_medical,
## risk_return_other, risk_return_recruited,
## risk_return_risk_prefer_not, risk_return_subsistence,
## risk_return_threat, risk_return_violence, risk_stay_armedgroup,
## risk_stay_assaulted, risk_stay_extorsion, risk_stay_healthrisk,
## risk_stay_insecurity, risk_stay_lackfood, risk_stay_medical,
## risk_stay_other, risk_stay_recruited, risk_stay_subsistence,
## risk_stay_threat, risk_stay_violence, risk_yes, route_incident,
## route_incident_type_abduction, route_incident_type_arrest,
## route_incident_type_bribery, route_incident_type_confine,
## route_incident_type_deportation, route_incident_type_despojo,
## route_incident_type_destruct_prop, route_incident_type_displaced,
## route_incident_type_eviction, route_incident_type_evictionthreat,
## route_incident_type_exploitsex, route_incident_type_exploitwork,
## route_incident_type_force_disappear,
## route_incident_type_forced_recruit, route_incident_type_fraud,
## route_incident_type_homicide, route_incident_type_notell,
## route_incident_type_other, route_incident_type_phys_assault,
## route_incident_type_sexual_assault, route_incident_type_theft,
## route_incident_type_threat, route_incident_type_torture,
## route_incident_typenodisp_abduct, route_incident_typenodisp_arrest,
## route_incident_typenodisp_bribery,
## route_incident_typenodisp_deportat,
## route_incident_typenodisp_destr_pro,
## route_incident_typenodisp_evicthr,
## route_incident_typenodisp_eviction,
## route_incident_typenodisp_explsex,
## route_incident_typenodisp_explwork,
## route_incident_typenodisp_fraud,
## route_incident_typenodisp_homicide,
## route_incident_typenodisp_other,
## route_incident_typenodisp_phys_ass,
## route_incident_typenodisp_sex_ass, route_incident_typenodisp_theft,
## route_incident_typenodisp_threat, SEX, sexual_assault_asylum,
## sexual_assault_orgin, sexual_assault_othercity,
## sexual_assault_trip, short_cbi, social_benefit_communities,
## social_benefit_gov_auxdoenca, social_benefit_gov_auxilio,
## social_benefit_gov_bolsa, social_benefit_gov_bpc,
## social_benefit_gov_other, social_benefit_gvt, social_benefit_ngo,
## social_benefit_none, social_benefit_other,
## social_benefit_religious, social_benefit_type_cash,
## social_benefit_type_education, social_benefit_type_foodbag,
## social_benefit_type_foodcard, social_benefit_type_foodkit,
## social_benefit_type_foodration, social_benefit_type_housing,
## social_benefit_type_hygiene, social_benefit_type_livelihood,
## social_benefit_type_med, social_benefit_type_medical,
## social_benefit_type_other, social_benefit_type_pss,
## social_benefit_type_psych, social_benefit_type_relocate,
## specific_needs_none, stafforpartner, theft_asylum, theft_orgin,
## theft_othercity, theft_prefer_not, theft_trip, threat_asylum,
## threat_orgin, threat_othercity, threat_trip, total_adult,
## total_adult_female, total_adult_male, total_minor,
## total_minor_female, total_minor_male, transit_countries_argentina,
## transit_countries_bolivia, transit_countries_brazil,
## transit_countries_canada, transit_countries_chile,
## transit_countries_colombia, transit_countries_cuba,
## transit_countries_ecuador, transit_countries_nicaragua,
## transit_countries_other, transit_countries_panama,
## transit_countries_paraguay, transit_countries_peru,
## transit_countries_uruguay, transit_countries_venezuela,
## transport_method_boat, transport_method_bus, transport_method_car,
## transport_method_hitch_hiking, transport_method_other,
## transport_method_plane, transport_method_taxi,
## transport_method_walk, water, weight, whynot_medical_denied,
## whynot_medical_distance, whynot_medical_feararrested,
## whynot_medical_no_id, whynot_medical_noinfo,
## whynot_medical_noinsurance, whynot_medical_nomoney,
## whynot_medical_notavailable, whynot_medical_other,
## workchangedhow_aumento_horas, workchangedhow_aumento_trabajo,
## workchangedhow_negocio, workchangedhow_otro_laboral## The following objects are masked from data4:
##
## abduction_o_rkidnapping_asylum, abduction_o_rkidnapping_orgin,
## abduction_o_rkidnapping_othercity, abduction_o_rkidnapping_trip,
## able_bodied, applied_refugee, appliedrejected,
## arrest_o_rdetention_asylum, arrest_o_rdetention_orgin,
## arrest_o_rdetention_othercity, arrest_o_rdetention_trip,
## arrive_thiscountry, bathroom, childinschool, childvirtualed,
## childwhynotschool_childwork, childwhynotschool_disability,
## childwhynotschool_discrimethnic, childwhynotschool_discrimnation,
## childwhynotschool_disease, childwhynotschool_failedschool,
## childwhynotschool_fearschool, childwhynotschool_finished,
## childwhynotschool_helphome, childwhynotschool_intransit,
## childwhynotschool_nodocs, childwhynotschool_noinfo,
## childwhynotschool_nointerest, childwhynotschool_nolanguage,
## childwhynotschool_nomoney, childwhynotschool_noschools,
## childwhynotschool_nospot, childwhynotschool_notransport,
## childwhynotschool_other, childwhynotschool_pregnancy,
## childwhynotschool_recentlyarrive, childwhynotschool_toolate,
## communication, confined_asylum, confined_orgin, confined_othercity,
## consent_score, coping_mechanism1_aid_agency,
## coping_mechanism1_aid_host, coping_mechanism1_borrow_money,
## coping_mechanism1_changed_shelter,
## coping_mechanism1_family_support,
## coping_mechanism1_limit_adult_food, coping_mechanism1_none,
## coping_mechanism1_notell, coping_mechanism1_other,
## coping_mechanism1_reduce_exp, coping_mechanism1_reduced_food,
## coping_mechanism1_sell_assets, coping_mechanism1_skipped_rent,
## coping_mechanism1_use_savings, coping_mechanism1_work_food,
## coping_mechanism2_beg, coping_mechanism2_childmarriage,
## coping_mechanism2_foodscrap, coping_mechanism2_none,
## coping_mechanism2_notell, coping_mechanism2_other,
## coping_mechanism2_sendchild, coping_mechanism2_survivalsex,
## coping_mechanism2_workchild, country_of_asylum,
## covidimpact_amenaza, covidimpact_amenazadesa,
## covidimpact_corteserv, covidimpact_desalojo, covidimpact_deuda,
## covidimpact_educlimitada, covidimpact_noneimp,
## covidimpact_otherimp, covidimpact_saludfisica,
## covidimpact_saludmental1, covidimpact_saludmental2, crossedborder,
## departure_date, dependency_category, dependency_ratio,
## deport_country_argentina, deport_country_bolivia,
## deport_country_brazil, deport_country_chile,
## deport_country_colombia, deport_country_costa_rica,
## deport_country_cuba, deport_country_curacao,
## deport_country_ecuador, deport_country_guatemala,
## deport_country_honduras, deport_country_mexico,
## deport_country_other, deport_country_panama, deport_country_peru,
## deport_country_suriname, deport_country_usa,
## deport_country_venezuela, deportation_asylum, deportation_orgin,
## deportation_prefer_not, deportation_trip,
## destruction_property_asylum, destruction_property_orgin,
## destruction_property_othercity, destruction_property_trip,
## disabilityacc_disabilityserv, disabilityacc_docacc,
## disabilityacc_houselimit, disabilityacc_none,
## disabilityacc_privins, disabilityacc_publicins,
## disabilityacc_pubspaces, disabilityacc_transport,
## disabilityacc_worklimit, discriminated, discriminated_reasons_age,
## discriminated_reasons_disability, discriminated_reasons_ethnictiy,
## discriminated_reasons_female, discriminated_reasons_gender,
## discriminated_reasons_male, discriminated_reasons_nationality,
## discriminated_reasons_other, discriminated_reasons_religion,
## dispossetion_asylum, dispossetion_orgin, dispossetion_othercity,
## dispossetion_trip, doc_residence, documentation_birthcertif,
## documentation_id, documentation_idexp, documentation_none,
## documentation_notell, documentation_other, documentation_passport,
## documentation_passportexp, electricity, employment_opp,
## eviction_asylum, eviction_orgin, eviction_othercity,
## eviction_prefer_not, eviction_trip, evictionthreat_asylum,
## evictionthreat_orgin, evictionthreat_othercity,
## evictionthreat_trip, exploitationsex_asylum, exploitationsex_orgin,
## exploitationsex_othercity, exploitationwork_asylum,
## exploitationwork_orgin, exploitationwork_othercity,
## exploitationwork_trip, familiy_left, feel_safe,
## forceddisplaced_asylum, forceddisplaced_orgin,
## forceddisplaced_othercity, forceddisplaced_trip, fraud_asylum,
## fraud_orgin, fraud_othercity, fraud_trip, groupsize, headof,
## homicide_asylum, homicide_orgin, homicide_othercity, homicide_trip,
## household_leftbehind, housingtype, id,
## income4basicneeds_actividadeco, income4basicneeds_ahorro,
## income4basicneeds_apoyocomm, income4basicneeds_apoyohuman,
## income4basicneeds_nosource, income4basicneeds_othersource,
## income4basicneeds_remesas, income4basicneeds_venderbienes,
## intention, intentionmove, intentionspctr, interaction,
## interviewstat, isolation, jobafter, jobbefore,
## kidscannotschool_no_mat_cupo, kidscannotschool_no_mat_rec,
## kidscannotschool_otro_educ, kidscannotschool_sin_recuros,
## kidscanschoolhow_downloadplat, kidscanschoolhow_interactplat,
## kidscanschoolhow_materialsdeliv, kidscanschoolhow_materialswhats,
## kidscanschoolhow_radioortv, marital_status, marital_statusother,
## mealsperday, measure_acuerdoarren, measure_asistlegal,
## measure_extension, measure_mudarhost, measure_mudartemp,
## measure_nonem, measure_otherm, measure_prestamo,
## measure_regresopai, medical_attention, medical_received,
## medical_type_center, medical_type_clinic, medical_type_hospital,
## medical_type_other, medicowhat_atenpsicosoc,
## medicowhat_enfercronicas, medicowhat_otrono_c19,
## medicowhat_prenatalpediatrico, medicowhat_prueba_c19,
## medicowhat_tratamiento_c19, mentalhealthsymp_couple,
## mentalhealthsymp_famfriend, mentalhealthsymp_ngos,
## mentalhealthsymp_no_one, mentalhealthsymp_none,
## mentalhealthsymp_notell, mentalhealthsymp_other,
## mentalhealthsymp_religious, mentalhealthsymp_stateresource,
## mentalhealthsymp_unorgs, minorsleft, monitoring_date, nationality,
## not_asylum_costs, not_asylum_distance, not_asylum_lack_of_docume,
## not_asylum_lack_of_inform, not_asylum_lack_time,
## not_asylum_not_allowed_in, not_asylum_other,
## physical_assault_asylum, physical_assault_orgin,
## physical_assault_othercity, physical_assault_trip, pressneeds,
## prevdeport_none, prevdeport_yes_forcedreturn,
## prevdeport_yes_refusedentry, prevdeport_yesdeport,
## probconvivencia_cargadomes, probconvivencia_conflictos,
## probconvivencia_ninosdif, probconvivencia_noseguro,
## probconvivencia_parejadif, probconvivencia_sin_problema,
## razon_falta_asist_med_atencion_negad,
## razon_falta_asist_med_atencion_susp,
## razon_falta_asist_med_falta_if, razon_falta_asist_med_falta_info,
## razon_falta_asist_med_falta_recursos,
## razon_falta_asist_med_falta_seg_med,
## razon_falta_asist_med_otro_at_med, razon_riesgo_autoridades,
## razon_riesgo_no_pago, razon_riesgo_other,
## razon_riesgo_propietarioa, razon_riesgo_vencio_plazo,
## razon_violencia_aumenta_aislamien,
## razon_violencia_aumenta_dependen, razon_violencia_aumenta_economi,
## razon_violencia_aumenta_estres, razon_violencia_aumenta_justicia,
## razon_violencia_aumenta_otro_viol,
## razon_violencia_aumenta_servici_gbv, reasons_stayed_border_close,
## reasons_stayed_care_property, reasons_stayed_caring_dependant,
## reasons_stayed_continued, reasons_stayed_dont_know,
## reasons_stayed_health_prob, reasons_stayed_lack_docs,
## reasons_stayed_lack_funds, reasons_stayed_notell,
## reasons_stayed_old_age, reasons_stayed_other,
## reasons_stayed_othercountry, reasons_stayed_returned,
## reasons_stayed_security, reasons_stayed_stayed,
## reasons_stayed_work_study, reasonsreturn_discrim,
## reasonsreturn_familyleft, reasonsreturn_houseloss,
## reasonsreturn_jobloss, reasonsreturn_nodocs, reasonsreturn_nomeds,
## reasonsreturn_other, reasonsreturn_violence, regular_entry,
## remoteorinperson, risk_return_armedgroup, risk_return_assaulted,
## risk_return_extorsion, risk_return_healthrisk,
## risk_return_insecurity, risk_return_lackfood, risk_return_medical,
## risk_return_other, risk_return_recruited,
## risk_return_risk_prefer_not, risk_return_subsistence,
## risk_return_threat, risk_return_violence, risk_stay_armedgroup,
## risk_stay_assaulted, risk_stay_extorsion, risk_stay_healthrisk,
## risk_stay_insecurity, risk_stay_lackfood, risk_stay_medical,
## risk_stay_other, risk_stay_recruited, risk_stay_subsistence,
## risk_stay_threat, risk_stay_violence, risk_yes, route_incident,
## route_incident_type_abduction, route_incident_type_arrest,
## route_incident_type_bribery, route_incident_type_confine,
## route_incident_type_deportation, route_incident_type_despojo,
## route_incident_type_destruct_prop, route_incident_type_displaced,
## route_incident_type_eviction, route_incident_type_evictionthreat,
## route_incident_type_exploitsex, route_incident_type_exploitwork,
## route_incident_type_force_disappear,
## route_incident_type_forced_recruit, route_incident_type_fraud,
## route_incident_type_homicide, route_incident_type_notell,
## route_incident_type_other, route_incident_type_phys_assault,
## route_incident_type_sexual_assault, route_incident_type_theft,
## route_incident_type_threat, route_incident_type_torture,
## route_incident_typenodisp_abduct, route_incident_typenodisp_arrest,
## route_incident_typenodisp_bribery,
## route_incident_typenodisp_deportat,
## route_incident_typenodisp_destr_pro,
## route_incident_typenodisp_evicthr,
## route_incident_typenodisp_eviction,
## route_incident_typenodisp_explsex,
## route_incident_typenodisp_explwork,
## route_incident_typenodisp_fraud,
## route_incident_typenodisp_homicide,
## route_incident_typenodisp_other,
## route_incident_typenodisp_phys_ass,
## route_incident_typenodisp_sex_ass, route_incident_typenodisp_theft,
## route_incident_typenodisp_threat, sexual_assault_asylum,
## sexual_assault_orgin, sexual_assault_othercity,
## sexual_assault_trip, short_cbi, social_benefit_communities,
## social_benefit_gov_auxdoenca, social_benefit_gov_auxilio,
## social_benefit_gov_bolsa, social_benefit_gov_bpc,
## social_benefit_gov_other, social_benefit_gvt, social_benefit_ngo,
## social_benefit_none, social_benefit_other,
## social_benefit_religious, social_benefit_type_cash,
## social_benefit_type_education, social_benefit_type_foodbag,
## social_benefit_type_foodcard, social_benefit_type_foodkit,
## social_benefit_type_foodration, social_benefit_type_housing,
## social_benefit_type_hygiene, social_benefit_type_livelihood,
## social_benefit_type_med, social_benefit_type_medical,
## social_benefit_type_other, social_benefit_type_pss,
## social_benefit_type_psych, social_benefit_type_relocate,
## specific_needs_none, stafforpartner, theft_asylum, theft_orgin,
## theft_othercity, theft_prefer_not, theft_trip, threat_asylum,
## threat_orgin, threat_othercity, threat_trip, total_adult,
## total_adult_female, total_adult_male, total_minor,
## total_minor_female, total_minor_male, transit_countries_argentina,
## transit_countries_bolivia, transit_countries_brazil,
## transit_countries_canada, transit_countries_chile,
## transit_countries_colombia, transit_countries_cuba,
## transit_countries_ecuador, transit_countries_nicaragua,
## transit_countries_other, transit_countries_panama,
## transit_countries_paraguay, transit_countries_peru,
## transit_countries_uruguay, transit_countries_venezuela,
## transport_method_boat, transport_method_bus, transport_method_car,
## transport_method_hitch_hiking, transport_method_other,
## transport_method_plane, transport_method_taxi,
## transport_method_walk, water, weight, whynot_medical_denied,
## whynot_medical_distance, whynot_medical_feararrested,
## whynot_medical_no_id, whynot_medical_noinfo,
## whynot_medical_noinsurance, whynot_medical_nomoney,
## whynot_medical_notavailable, whynot_medical_other,
## workchangedhow_aumento_horas, workchangedhow_aumento_trabajo,
## workchangedhow_negocio, workchangedhow_otro_laboraltabulado("route_incident")## Note: Using an external vector in selections is ambiguous.
## ℹ Use `all_of(pregunta)` instead of `pregunta` to silence this message.
## ℹ See <https://tidyselect.r-lib.org/reference/faq-external-vector.html>.
## This message is displayed once per session.label | variable | route_incident | Total | |||
dontknow | no | yes | NA | |||
Grupo_etario | 0% | 62.5% | 37.5% | 0 | 40 (9.9%) | |
18-21 | 0% | 75.0% | 25.0% | 0 | 8 (2.0%) | |
22-35 | 0% | 59.9% | 40.1% | 1 | 158 (38.9%) | |
36-59 | 0.5% | 63.4% | 36.1% | 1 | 192 (47.3%) | |
over60 | 0% | 100.0% | 0% | 0 | 8 (2.0%) | |
Total | 1 (0.2%) | 254 (62.9%) | 149 (36.9%) | 2 | 406 (100.0%) | |
Genero | 0% | 83.3% | 16.7% | 0 | 12 (3.0%) | |
female | 0% | 66.0% | 34.0% | 0 | 162 (39.9%) | |
male | 0.4% | 59.6% | 40.0% | 2 | 232 (57.1%) | |
Total | 1 (0.2%) | 254 (62.9%) | 149 (36.9%) | 2 | 406 (100.0%) | |
tab_genero("route_incident")label | variable | route_incident | Total | |||
dontknow | no | yes | NA | |||
Genero | 0% | 83.3% | 16.7% | 0 | 12 (3.0%) | |
female | 0% | 66.0% | 34.0% | 0 | 162 (39.9%) | |
male | 0.4% | 59.6% | 40.0% | 2 | 232 (57.1%) | |
Total | 1 (0.2%) | 254 (62.9%) | 149 (36.9%) | 2 | 406 (100.0%) | |
tab_edad("route_incident")label | variable | route_incident | Total | |||
dontknow | no | yes | NA | |||
Grupo_etario | 0% | 62.5% | 37.5% | 0 | 40 (9.9%) | |
18-21 | 0% | 75.0% | 25.0% | 0 | 8 (2.0%) | |
22-35 | 0% | 59.9% | 40.1% | 1 | 158 (38.9%) | |
36-59 | 0.5% | 63.4% | 36.1% | 1 | 192 (47.3%) | |
over60 | 0% | 100.0% | 0% | 0 | 8 (2.0%) | |
Total | 1 (0.2%) | 254 (62.9%) | 149 (36.9%) | 2 | 406 (100.0%) | |