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---
title: "Untitled"
output: html_document
---
```{r}
library(tidyverse)
library(gtsummary)
library(survey)
library(RColorBrewer)
library(sf)
library(haven)
```
```{r}
consulta_endes <- function(periodo, codigo_modulo, base, guardar = FALSE, ruta = "", codificacion=NULL) {
# Generamos dos objetos temporales: un archivo y una carpeta
temp <- tempfile() ; tempdir <- tempdir()
# Genera una matriz con el número identificador de versiones por cada año
versiones <- matrix(c(2022,786,2021,760,2020, 739, 2019, 691,
2018, 638, 2017,605,2016,548,2015,504,2014,441,
2013,407,2012,323,2011,290,2010,260,
2009,238,2008,209,2007,194,2006,183,
2005,150,2004,120),byrow = T,ncol = 2)
# Extrae el código de la encuesta con la matriz versiones
codigo_encuesta <- versiones[versiones[,1] == periodo,2]
ruta_base <- "http://proyectos.inei.gob.pe/iinei/srienaho/descarga/SPSS/" # La ruta de microdatos INEI
modulo <- paste("-Modulo",codigo_modulo,".zip",sep = "")
url <- paste(ruta_base,codigo_encuesta,modulo,sep = "")
# Descargamos el archivo
utils::download.file(url,temp)
# Listamos los archivos descargados y seleccionamos la base elegida
archivos <- utils::unzip(temp,list = T)
archivos <- archivos[stringr::str_detect(archivos$Name, paste0(base,"\\.")) == TRUE,]
# Elegimos entre guardar los archivos o pasarlos directamente a un objeto
if(guardar == TRUE) {
utils::unzip(temp, files = archivos$Name, exdir = paste(getwd(), "/", ruta, sep = ""))
print(paste("Archivos descargados en: ", getwd(), "/", ruta, sep = ""))
}
else {
endes <- haven::read_sav(
utils::unzip(
temp,
files = archivos$Name[grepl(".sav|.SAV",archivos$Name)],
exdir = tempdir
),
encoding = codificacion
)
nombres <- toupper(colnames(endes))
colnames(endes) <- nombres
endes
}
}
```
# 2022
```{r}
rec43<-consulta_endes(periodo = 2022, codigo_modulo = 1634, base = "REC43", guardar = F)# eda
rech23<-consulta_endes(periodo = 2022, codigo_modulo = 1630, base = "RECH23", guardar = F)# mediador
rec0111<-consulta_endes(periodo = 2022, codigo_modulo = 1631, base = "REC0111", guardar = F)#otras variables
rech0<-consulta_endes(periodo = 2022, codigo_modulo = 1629, base = "RECH0", guardar = F)# meses
```
```{r}
MOV2022<-
rec43 %>%
mutate(
HHID = as.numeric(str_sub(CASEID,1,-3))
) %>%
left_join(
rec0111 %>%
mutate(
HHID = as.numeric(str_sub(CASEID,1,-3))
)
) %>%
left_join(rech0 %>% mutate(HHID=as.numeric(HHID))) %>%
left_join(rech23 %>% mutate(HHID=as.numeric(HHID))) %>%
mutate(
mes = HV008 - ((ID1-1900)*12),
ANIO = 2022
)
```
# 2021
```{r}
rec43<-consulta_endes(periodo = 2021, codigo_modulo = 1634, base = "REC43", guardar = F)# eda
rech23<-consulta_endes(periodo = 2021, codigo_modulo = 1630, base = "RECH23", guardar = F)# mediador
rec0111<-consulta_endes(periodo = 2021, codigo_modulo = 1631, base = "REC0111", guardar = F)#otras variables
rech0<-consulta_endes(periodo = 2021, codigo_modulo = 1629, base = "RECH0", guardar = F)# meses
```
```{r}
MOV2021<-
rec43 %>%
mutate(
HHID = as.numeric(str_sub(CASEID,1,-3))
) %>%
left_join(
rec0111 %>%
mutate(
HHID = as.numeric(str_sub(CASEID,1,-3))
)
) %>%
left_join(rech0 %>% mutate(HHID=as.numeric(HHID))) %>%
left_join(rech23 %>% mutate(HHID=as.numeric(HHID))) %>%
mutate(
mes = HV008 - ((ID1-1900)*12),
ANIO = 2021
)
```
# MOV 2020
```{r}
#NINIO <- read.csv("ENDES/2020/DIT.csv", sep = ";" )
NINIO2 <- read.csv("ENDES/2020/REC41.csv", sep = ";" )
MUJER1 <- read.csv("ENDES/2020/REC42.csv", sep = ";" )
VACUNA1 <- read.csv("ENDES/2020/REC43.csv", sep = ";" )
VACUNA2 <- read.csv("ENDES/2020/REC95.csv", sep = ";" )
HOGAR1 <- read.csv("ENDES/2020/RECH0.csv", sep = ";" )
HOGAR_MADRE <- read.csv("ENDES/2020/RECH1.csv", sep = ";" )
VIVIENDA1 <- read.csv("ENDES/2020/RECH23.csv", sep = ";" )
MUJER2<- read.csv("ENDES/2020/REC0111.csv", sep = ";" )
MUJER3<- read_sav("ENDES/2020/Programas Sociales x Hogar.sav")
NINIO_ANEMIA<- read.csv("ENDES/2020/RECH6.csv", sep = ";" )
region_shape <- st_read("./ENDES/Regiones/DEPARTAMENTOS.shp")
#
# BD principales
## HHID Y HIDX son las variables de union
VACUNA1<- VACUNA1 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)))
VACUNA2 <- VACUNA2 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
HIDX = IDX95)
# Otras BD
## HHID Y HIDX son las variables de union
# NINIO <- NINIO %>% select(CASEID,QI478,BIDX,BORD) %>%
#
# mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
#
# HIDX = BIDX)
NINIO2 <- NINIO2 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
HIDX = MIDX)
MUJER1<- MUJER1 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)))
MUJER2<-MUJER2 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)))
MUJER3<-MUJER3 %>%
mutate(JUNTOS = ifelse(QH95 == 1, 1,0),
HHID = as.numeric(HHID)) %>%
select(-QH95)
HOGAR_MADRE<-HOGAR_MADRE %>%
mutate(HIDX = HVIDX,
HHID = as.integer(HHID))
## BD intermedias
VACUNA3 <- VACUNA1 %>% full_join(VACUNA2, by =c("HHID","HIDX","CASEID")) # Union tomando CASEID para no perder casos
#NINIO_3 <- NINIO %>% left_join(NINIO2, by = c("HHID","HIDX","CASEID"))
MUJER_4 <- MUJER1 %>%
left_join(MUJER2, by = c("HHID","CASEID")) %>%
left_join(MUJER3, by = c("HHID")) %>%
mutate(HIDX = as.numeric(str_sub(CASEID,-2,-1))) %>%
left_join(HOGAR_MADRE, by = c("HHID","HIDX"))
## BD final
MOV2020<- VACUNA3 %>%
left_join(NINIO2, by = c("HHID","HIDX","CASEID")) %>%
left_join(MUJER_4, by = c("HHID","CASEID")) %>%
left_join(VIVIENDA1 %>% mutate(HHID = as.numeric(HHID))) %>%
left_join(HOGAR1 %>% mutate(HHID=as.numeric(HHID))) %>%
mutate(ANIO = 2020,
mes = HV008 - ((ID1-1900)*12))
```
# 2019
```{r}
#NINIO <- haven::read_sav("ENDES/2019/DIT.sav")
NINIO2 <- read_sav("ENDES/2019/REC41.sav")
MUJER1 <- read_sav("ENDES/2019/REC42.sav" )
VACUNA1 <- read_sav("ENDES/2019/REC43.sav")
VACUNA2 <- read_sav("ENDES/2019/REC95.sav")
HOGAR1 <- read_sav("ENDES/2019/RECH0.sav")
HOGAR_MADRE <- read_sav("ENDES/2019/RECH1.sav")
VIVIENDA1 <- read_sav("ENDES/2019/RECH23.sav")
MUJER2<- read_sav("ENDES/2019/REC0111.sav")
MUJER3<- read_sav("ENDES/2019/Programas Sociales x Hogar.sav")
region_shape <- st_read("./ENDES/Regiones/DEPARTAMENTOS.shp")
#
# BD principales
## HHID Y HIDX son las variables de union
VACUNA1<- VACUNA1 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)))
VACUNA2 <- VACUNA2 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
HIDX = IDX95)
# Otras BD
## HHID Y HIDX son las variables de union
# NINIO <- NINIO %>% select(CASEID,QI478,BIDX,BORD) %>%
#
# mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
#
# HIDX = BIDX)
NINIO2 <- NINIO2 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
HIDX = MIDX)
MUJER1<- MUJER1 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)))
MUJER2<-MUJER2 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)))
MUJER3<-MUJER3 %>%
mutate(JUNTOS = ifelse(QH95 == 1, 1,0),
HHID = as.numeric(HHID)) %>%
select(-QH95)
HOGAR_MADRE<-HOGAR_MADRE %>%
mutate(HIDX = HVIDX,
HHID = as.integer(HHID))
## BD intermedias
VACUNA3 <- VACUNA1 %>% full_join(VACUNA2, by =c("HHID","HIDX","CASEID")) # Union tomando CASEID para no perder casos
#NINIO_3 <- NINIO %>% left_join(NINIO2, by = c("HHID","HIDX","CASEID"))
MUJER_4 <- MUJER1 %>%
left_join(MUJER2, by = c("HHID","CASEID")) %>%
left_join(MUJER3, by = c("HHID")) %>%
mutate(HIDX = as.numeric(str_sub(CASEID,-2,-1))) %>%
left_join(HOGAR_MADRE, by = c("HHID","HIDX"))
## BD final
MOV2019<- VACUNA3 %>%
left_join(NINIO2, by = c("HHID","HIDX","CASEID")) %>%
left_join(MUJER_4, by = c("HHID","CASEID")) %>%
left_join(VIVIENDA1 %>% mutate(HHID = as.numeric(HHID))) %>%
left_join(HOGAR1 %>% mutate(HHID=as.numeric(HHID))) %>%
mutate(ANIO = 2019,
mes = HV008 - ((ID1-1900)*12))
```
#2018
```{r}
#NINIO <- haven::read_sav("./ENDES/2018/DIT.sav")
NINIO2 <- read_sav("ENDES/2018/REC41.sav")
MUJER1 <- read_sav("ENDES/2018/REC42.sav" )
VACUNA1 <- read_sav("ENDES/2018/REC43.sav")
VACUNA2 <- read_sav("ENDES/2018/REC95.sav")
HOGAR1 <- read_sav("ENDES/2018/RECH0.sav")
HOGAR_MADRE <- read_sav("ENDES/2018/RECH1.sav")
VIVIENDA1 <- read_sav("ENDES/2018/RECH23.sav")
MUJER2<- read_sav("ENDES/2018/REC0111.sav")
MUJER3<- read_sav("ENDES/2018/Programas Sociales x Hogar.sav")
region_shape <- st_read("./ENDES/Regiones/DEPARTAMENTOS.shp")
#
# BD principales
## HHID Y HIDX son las variables de union
VACUNA1<- VACUNA1 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)))
VACUNA2 <- VACUNA2 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
HIDX = IDX95)
# Otras BD
## HHID Y HIDX son las variables de union
# NINIO <- NINIO %>% select(CASEID,QI478,BIDX,BORD) %>%
#
# mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
#
# HIDX = BIDX)
NINIO2 <- NINIO2 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
HIDX = MIDX)
MUJER1<- MUJER1 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)))
MUJER2<-MUJER2 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)))
MUJER3<-MUJER3 %>%
mutate(JUNTOS = ifelse(QH95 == 1, 1,0),
HHID = as.numeric(HHID)) %>%
select(-QH95)
HOGAR_MADRE<-HOGAR_MADRE %>%
mutate(HIDX = HVIDX,
HHID = as.integer(HHID))
## BD intermedias
VACUNA3 <- VACUNA1 %>% full_join(VACUNA2, by =c("HHID","HIDX","CASEID")) # Union tomando CASEID para no perder casos
#NINIO_3 <- NINIO %>% left_join(NINIO2, by = c("HHID","HIDX","CASEID"))
MUJER_4 <- MUJER1 %>%
left_join(MUJER2, by = c("HHID","CASEID")) %>%
left_join(MUJER3, by = c("HHID")) %>%
mutate(HIDX = as.numeric(str_sub(CASEID,-2,-1))) %>%
left_join(HOGAR_MADRE, by = c("HHID","HIDX"))
## BD final
MOV2018<- VACUNA3 %>%
left_join(NINIO2, by = c("HHID","HIDX","CASEID")) %>%
left_join(MUJER_4, by = c("HHID","CASEID")) %>%
left_join(VIVIENDA1 %>% mutate(HHID = as.numeric(HHID))) %>%
left_join(HOGAR1 %>% mutate(HHID=as.numeric(HHID))) %>%
mutate(ANIO = 2018,
mes = HV008 - ((2018-1900)*12))
```
# 2017
```{r}
NINIO2 <- read_sav("ENDES/2017/REC41.sav")
MUJER1 <- read_sav("ENDES/2017/REC42.sav" )
VACUNA1 <- read_sav("ENDES/2017/REC43.sav")
VACUNA2 <- read_sav("ENDES/2017/REC95.sav")
HOGAR1 <- read_sav("ENDES/2017/RECH0.sav")
HOGAR_MADRE <- read_sav("ENDES/2017/RECH1.sav")
VIVIENDA1 <- read_sav("ENDES/2017/RECH23.sav")
MUJER2<- read_sav("ENDES/2017/REC0111.sav")
MUJER3<- read_sav("ENDES/2017/Programas Sociales x Hogar.sav")
region_shape <- st_read("./ENDES/Regiones/DEPARTAMENTOS.shp")
#
# BD principales
## HHID Y HIDX son las variables de union
VACUNA1<- VACUNA1 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)))
VACUNA2 <- VACUNA2 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
HIDX = IDX95)
# Otras BD
## HHID Y HIDX son las variables de union
# NINIO <- NINIO %>% select(CASEID,QI478,BIDX,BORD) %>%
#
# mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
#
# HIDX = BIDX)
NINIO2 <- NINIO2 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
HIDX = MIDX)
MUJER1<- MUJER1 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)))
MUJER2<-MUJER2 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)))
MUJER3<-MUJER3 %>% select(HHID,QH95) %>%
mutate(JUNTOS = ifelse(QH95 == 1, 1,0),
HHID = as.numeric(HHID)) %>%
select(-QH95)
HOGAR_MADRE<-HOGAR_MADRE %>%
mutate(HIDX = HVIDX,
HHID = as.integer(HHID))
## BD intermedias
VACUNA3 <- VACUNA1 %>% full_join(VACUNA2, by =c("HHID","HIDX","CASEID")) # Union tomando CASEID para no perder casos
#NINIO_3 <- NINIO %>% left_join(NINIO2, by = c("HHID","HIDX","CASEID"))
MUJER_4 <- MUJER1 %>%
left_join(MUJER2, by = c("HHID","CASEID")) %>%
left_join(MUJER3, by = c("HHID")) %>%
mutate(HIDX = as.numeric(str_sub(CASEID,-2,-1))) %>%
left_join(HOGAR_MADRE, by = c("HHID","HIDX"))
## BD final
MOV2017<- VACUNA3 %>%
left_join(NINIO2, by = c("HHID","HIDX","CASEID")) %>%
left_join(MUJER_4, by = c("HHID","CASEID")) %>%
left_join(VIVIENDA1 %>% mutate(HHID = as.numeric(HHID))) %>%
left_join(HOGAR1 %>% mutate(HHID=as.numeric(HHID))) %>%
mutate(ANIO = 2017,
mes = HV008 - ((2017-1900)*12))
```
# 2016
```{r}
#NINIO <- haven::read_sav("ENDES/2016/DIT.sav")
NINIO2 <- read_sav("ENDES/2016/REC41.sav")
MUJER1 <- read_sav("ENDES/2016/REC42.sav" )
VACUNA1 <- read_sav("ENDES/2016/REC43.sav")
VACUNA2 <- read_sav("ENDES/2016/REC95.sav")
HOGAR1 <- read_sav("ENDES/2016/RECH0.sav")
HOGAR_MADRE <- read_sav("ENDES/2016/RECH1.sav")
VIVIENDA1 <- read_sav("ENDES/2016/RECH23.sav")
MUJER2<- read_sav("ENDES/2016/REC0111.sav")
MUJER3<- read_sav("ENDES/2016/Programas Sociales x Hogar.sav")
region_shape <- st_read("./ENDES/Regiones/DEPARTAMENTOS.shp")
#
# BD principales
## HHID Y HIDX son las variables de union
VACUNA1<- VACUNA1 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)))
VACUNA2 <- VACUNA2 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
HIDX = IDX95)
# Otras BD
## HHID Y HIDX son las variables de union
# NINIO <- NINIO %>% select(CASEID,QI478,BIDX,BORD) %>%
#
# mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
#
# HIDX = BIDX)
NINIO2 <- NINIO2 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
HIDX = MIDX)
MUJER1<- MUJER1 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)))
MUJER2<-MUJER2 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
V005 = v005) %>%
select(-v005)
MUJER3<-MUJER3 %>%
mutate(JUNTOS = ifelse(QH95 == 1, 1,0),
HHID = as.numeric(HHID)) %>%
select(-QH95)
HOGAR_MADRE<-HOGAR_MADRE %>%
mutate(HIDX = HVIDX,
HHID = as.integer(HHID))
## BD intermedias
VACUNA3 <- VACUNA1 %>% full_join(VACUNA2, by =c("HHID","HIDX","CASEID")) # Union tomando CASEID para no perder casos
#NINIO_3 <- NINIO %>% left_join(NINIO2, by = c("HHID","HIDX","CASEID"))
MUJER_4 <- MUJER1 %>%
left_join(MUJER2, by = c("HHID","CASEID")) %>%
left_join(MUJER3, by = c("HHID")) %>%
mutate(HIDX = as.numeric(str_sub(CASEID,-2,-1))) %>%
left_join(HOGAR_MADRE, by = c("HHID","HIDX"))
## BD final
MOV2016<- VACUNA3 %>%
left_join(NINIO2, by = c("HHID","HIDX","CASEID")) %>%
left_join(MUJER_4, by = c("HHID","CASEID")) %>%
left_join(VIVIENDA1 %>% mutate(HHID = as.numeric(HHID))) %>%
left_join(HOGAR1 %>% mutate(HHID=as.numeric(HHID))) %>%
mutate(ANIO = 2016,
mes = HV008 - ((2016-1900)*12))
```
# 2015
```{r}
#NINIO <- haven::read_sav("ENDES/2015/DIT.sav")
NINIO2 <- read_sav("ENDES/2015/REC41.sav")
MUJER1 <- read_sav("ENDES/2015/REC42.sav" )
VACUNA1 <- read_sav("ENDES/2015/REC43.sav")
VACUNA2 <- haven::read_sav("ENDES/2015/REC95.sav") # EDAD
HOGAR1 <- read_sav("ENDES/2015/RECH0.sav")
HOGAR_MADRE <- read_sav("ENDES/2015/RECH1.sav")
VIVIENDA1 <- read_sav("ENDES/2015/RECH23.sav")
MUJER2<- read_sav("ENDES/2015/REC0111.sav")
MUJER3<- read_sav("ENDES/2015/Programas Sociales x Hogar.sav")
region_shape <- st_read("./ENDES/Regiones/DEPARTAMENTOS.shp")
#
# BD principales
## HHID Y HIDX son las variables de union
VACUNA1<- VACUNA1 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)))
VACUNA2 <- VACUNA2 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
HIDX = IDX95)
# Otras BD
## HHID Y HIDX son las variables de union
# NINIO <- NINIO %>% select(CASEID,QI478,BIDX,BORD) %>%
#
# mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
#
# HIDX = BIDX)
NINIO2 <- NINIO2 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
HIDX = MIDX)
MUJER1<- MUJER1 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)))
MUJER2<-MUJER2 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)))
MUJER3<-MUJER3 %>%
mutate(JUNTOS = ifelse(QH95 == 1, 1,0),
HHID = as.numeric(HHID)) %>%
select(-QH95)
HOGAR_MADRE<-HOGAR_MADRE %>%
mutate(HIDX = HVIDX,
HHID = as.integer(HHID))
## BD intermedias
VACUNA3 <- VACUNA1 %>% full_join(VACUNA2, by =c("HHID","HIDX","CASEID")) # Union tomando CASEID para no perder casos
#NINIO_3 <- NINIO %>% left_join(NINIO2, by = c("HHID","HIDX","CASEID"))
MUJER_4 <- MUJER1 %>%
left_join(MUJER2, by = c("HHID","CASEID")) %>%
left_join(MUJER3, by = c("HHID")) %>%
mutate(HIDX = as.numeric(str_sub(CASEID,-2,-1))) %>%
left_join(HOGAR_MADRE, by = c("HHID","HIDX"))
## BD final
MOV2015<- VACUNA3 %>%
left_join(NINIO2, by = c("HHID","HIDX","CASEID")) %>%
left_join(MUJER_4, by = c("HHID","CASEID")) %>%
left_join(VIVIENDA1 %>% mutate(HHID = as.numeric(HHID))) %>%
left_join(HOGAR1 %>% mutate(HHID=as.numeric(HHID))) %>%
mutate(ANIO = 2015,
mes = HV008 - ((2015-1900)*12))
```
# 2014
```{r}
#NINIO <- haven::read_sav("ENDES/2014/DIT.sav")
NINIO2 <- read_sav("ENDES/2014/REC41.sav")
MUJER1 <- read_sav("ENDES/2014/REC42.sav" )
VACUNA1 <- read_sav("ENDES/2014/REC43.sav")
VACUNA2 <- read_sav("ENDES/2014/REC95.sav")
HOGAR1 <- read_sav("ENDES/2014/RECH0.sav")
HOGAR_MADRE <- read_sav("ENDES/2014/RECH1.sav")
VIVIENDA1 <- read_sav("ENDES/2014/RECH23.sav")
MUJER2<- read_sav("ENDES/2014/REC0111.sav")
MUJER3<- read_sav("ENDES/2014/Programas Sociales x Hogar.sav")
region_shape <- st_read("./ENDES/Regiones/DEPARTAMENTOS.shp")
#
# BD principales
## HHID Y HIDX son las variables de union
VACUNA1<- VACUNA1 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)))
VACUNA2 <- VACUNA2 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
HIDX = IDX95)
# Otras BD
## HHID Y HIDX son las variables de union
# NINIO <- NINIO %>% select(CASEID,QI478,BIDX,BORD) %>%
#
# mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
#
# HIDX = BIDX)
NINIO2 <- NINIO2 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
HIDX = MIDX)
MUJER1<- MUJER1 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)))
MUJER2<-MUJER2 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
V005 = v005) %>%
select(-v005)
MUJER3<-MUJER3 %>%
mutate(JUNTOS = ifelse(QH95 == 1, 1,0),
HHID = as.numeric(HHID)) %>%
select(-QH95)
HOGAR_MADRE<-HOGAR_MADRE %>%
mutate(HIDX = HVIDX,
HHID = as.integer(HHID))
## BD intermedias
VACUNA3 <- VACUNA1 %>% full_join(VACUNA2, by =c("HHID","HIDX","CASEID")) # Union tomando CASEID para no perder casos
#NINIO_3 <- NINIO %>% left_join(NINIO2, by = c("HHID","HIDX","CASEID"))
MUJER_4 <- MUJER1 %>%
left_join(MUJER2, by = c("HHID","CASEID")) %>%
left_join(MUJER3, by = c("HHID")) %>%
mutate(HIDX = as.numeric(str_sub(CASEID,-2,-1))) %>%
left_join(HOGAR_MADRE, by = c("HHID","HIDX"))
## BD final
MOV2014<- VACUNA3 %>%
left_join(NINIO2, by = c("HHID","HIDX","CASEID")) %>%
left_join(MUJER_4, by = c("HHID","CASEID")) %>%
left_join(VIVIENDA1 %>% mutate(HHID = as.numeric(HHID))) %>%
left_join(HOGAR1 %>% mutate(HHID=as.numeric(HHID))) %>%
mutate(
ANIO = 2014,
mes = HV008 - ((2014-1900)*12))
```
# 2013
```{r}
#NINIO <- haven::read_sav("ENDES/2013/DIT.sav")
NINIO2 <- read_sav("ENDES/2013/REC41.sav")
MUJER1 <- read_sav("ENDES/2013/REC42.sav" )
VACUNA1 <- read_sav("ENDES/2013/REC43.sav")
VACUNA2 <- read_sav("ENDES/2013/REC95.sav")
HOGAR1 <- read_sav("ENDES/2013/RECH0.sav")
HOGAR_MADRE <- read_sav("ENDES/2013/RECH1.sav")
VIVIENDA1 <- read_sav("ENDES/2013/RECH23.sav")
MUJER2<- read_sav("ENDES/2013/REC0111.sav")
MUJER3<- read_sav("ENDES/2013/REC91.sav")
region_shape <- st_read("./ENDES/Regiones/DEPARTAMENTOS.shp")
#
# BD principales
## HHID Y HIDX son las variables de union
VACUNA1<- VACUNA1 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)))
VACUNA2 <- VACUNA2 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
HIDX = IDX95)
# Otras BD
## HHID Y HIDX son las variables de union
# NINIO <- NINIO %>% select(CASEID,QI478,BIDX,BORD) %>%
#
# mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
#
# HIDX = BIDX)
NINIO2 <- NINIO2 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
HIDX = MIDX)
MUJER1<- MUJER1 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
V481X = v481x) %>%
select(-v481x)
MUJER2<-MUJER2 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)))
MUJER3<-MUJER3 %>%
mutate(HHID = as.numeric(str_sub(CASEID,1,-3)),
JUNTOS = ifelse(S484 == 1 | S484 == 2,1,0),
JUNTOS = 0)
HOGAR_MADRE<-HOGAR_MADRE %>%
mutate(HIDX = HVIDX,
HHID = as.integer(HHID))
## BD intermedias
VACUNA3 <- VACUNA1 %>% full_join(VACUNA2, by =c("HHID","HIDX","CASEID")) # Union tomando CASEID para no perder casos
#NINIO_3 <- NINIO %>% left_join(NINIO2, by = c("HHID","HIDX","CASEID"))
MUJER_4 <- MUJER1 %>%
left_join(MUJER2, by = c("HHID","CASEID")) %>%
left_join(MUJER3, by = c("HHID","CASEID")) %>%
mutate(HIDX = as.numeric(str_sub(CASEID,-2,-1))) %>%
left_join(HOGAR_MADRE, by = c("HHID","HIDX"))
## BD final
MOV2013<- VACUNA3 %>%
left_join(NINIO2, by = c("HHID","HIDX","CASEID")) %>%
left_join(MUJER_4, by = c("HHID","CASEID")) %>%
left_join(VIVIENDA1 %>% mutate(HHID = as.numeric(HHID))) %>%
left_join(HOGAR1 %>% mutate(HHID=as.numeric(HHID))) %>%
mutate(
ANIO = 2013,
mes = HV008 - ((2013-1900)*12),)
```