AE
11/01/2018
En RStudio podemos tener varias ventanas que nos permiten tener más control de nuestro "ambiente", el historial, los "scripts" o códigos que escribimos y por supuesto, tenemos nuestra consola, que también tiene el símbolo ">" con R. Podemos pedir operaciones básicas
2+5## [1] 75*3## [1] 15#Para escribir comentarios y que no los lea como operaciones ponemos el símbolo de gato
# Lo podemos hacer para un comentario en una línea o la par de una instrucción
1:5 # Secuencia 1-5## [1] 1 2 3 4 5seq(1, 10, 0.5) # Secuencia con incrementos diferentes a 1## [1] 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5
## [15] 8.0 8.5 9.0 9.5 10.0c('a','b','c') # Vector con caracteres## [1] "a" "b" "c"1:7 # Entero## [1] 1 2 3 4 5 6 740<80 # Valor logico## [1] TRUE2+2 == 5 # Valor logico## [1] FALSET == TRUE # T expresion corta de verdadero## [1] TRUER es un lenguaje de programación por objetos. Por lo cual vamos a tener objetos a los que se les asigna su contenido. Si usamos una flechita "<-" o "->" le estamos asignando algo al objeto que apunta la felcha.
x <- 24 # Asignacion de valor 24 a la variable x para su uso posterior (OBJETO)
x/2 # Uso posterior de variable u objeto x## [1] 12x # Imprime en pantalla el valor de la variable u objeto## [1] 24x <- TRUE # Asigna el valor logico TRUE a la variable x OJO: x toma el ultimo valor que se le asigna
x## [1] TRUELos vectores son uno de los objetos más usados en R.
y <- c(2,4,6) # Vector numerico
y <- c('Primaria', 'Secundaria') # Vector caracteresDado que poseen elementos, podemos también observar y hacer operaciones con sus elementos, usando "[ ]" para acceder a ellos
y[2] # Acceder al segundo valor del vector y## [1] "Secundaria"y[3] <- 'Preparatoria y más' # Asigna valor a la tercera componente del vector
sex <-1:2 # Asigna a la variable sex los valores 1 y 2
names(sex) <- c("Femenino", "Masculino") # Asigna nombres al vector de elementos sexo
sex[2] # Segundo elemento del vector sex## Masculino
## 2Las matrices son muy importantes, porque nos permiten hacer operaciones y casi todas nuestras bases de datos tendran un aspecto de matriz.
m <- matrix (nrow=2, ncol=3, 1:6, byrow = TRUE) # Matrices Ejemplo 1
m## [,1] [,2] [,3]
## [1,] 1 2 3
## [2,] 4 5 6m <- matrix (nrow=2, ncol=3, 1:6, byrow = FALSE) # Matrices Ejemplo 1
m## [,1] [,2] [,3]
## [1,] 1 3 5
## [2,] 2 4 6dim(m)## [1] 2 3attributes(m)## $dim
## [1] 2 3n <- 1:6 # Matrices Ejemplo 2
dim(n) <- c(2,3)
n## [,1] [,2] [,3]
## [1,] 1 3 5
## [2,] 2 4 6xx <-10:12 # Matrices Ejemplo 3
yy<-14:16
cbind(xx,yy) # Une vectores por Columnas## xx yy
## [1,] 10 14
## [2,] 11 15
## [3,] 12 16rbind(xx,yy) # Une vectores por Renglones## [,1] [,2] [,3]
## xx 10 11 12
## yy 14 15 16mi_matrix<-cbind(xx,yy) # este resultado lo puedo asignar a un objetoAlgunas funciones básicas son las siguientes. Vamos a ir viendo más funciones, pero para entender cómo funcionan, haremos unos ejemplos y cómo pedir ayuda sobre ellas.
sum (10,20,30) # Función suma## [1] 60rep('R', times=3) # Repite la letra R el numero de veces que se indica## [1] "R" "R" "R"sqrt(9) # Raiz cuadrada de 9## [1] 3Pedir ayuda es indispensable para aprender a escribir nuestros códigos. A prueba y error, es el mejor sistema para aprender. Podemos usar la función help, example y ?
help(sum) # Ayuda sobre función sum
example(sum) # Ejemplo de función sum##
## sum> ## Pass a vector to sum, and it will add the elements together.
## sum> sum(1:5)
## [1] 15
##
## sum> ## Pass several numbers to sum, and it also adds the elements.
## sum> sum(1, 2, 3, 4, 5)
## [1] 15
##
## sum> ## In fact, you can pass vectors into several arguments, and everything gets added.
## sum> sum(1:2, 3:5)
## [1] 15
##
## sum> ## If there are missing values, the sum is unknown, i.e., also missing, ....
## sum> sum(1:5, NA)
## [1] NA
##
## sum> ## ... unless we exclude missing values explicitly:
## sum> sum(1:5, NA, na.rm = TRUE)
## [1] 15Todos los objetos que hemos declarado hasta ahora son parte de nuestro "ambiente" (enviroment). Para saber qué está en nuestro ambiente usamos el comando
ls()## [1] "m" "mi_matrix" "n" "sex" "x" "xx"
## [7] "y" "yy"gc() # Garbage collection, reporta memoria en uso## used (Mb) gc trigger (Mb) limit (Mb) max used (Mb)
## Ncells 482197 25.8 1062410 56.8 NA 630591 33.7
## Vcells 942004 7.2 8388608 64.0 16384 1767245 13.5Para borrar todos nuestros objetos, usamos el siguiente comando, que equivale a usar la escobita de la venta de environment
rm(list=ls()) # Borrar objetos actualesEs muy útil saber dónde estamos trabajando y donde queremos trabajar. Por eso podemos utilizar los siguientes comandos para saberlo
Ojo, checa, si estás desdes una PC, cómo cambian las "" por "/" o por "\"
getwd() # Directorio actual## [1] "/Users/anaescoto/Dropbox/SFP"setwd("/Users/anaescoto/Dropbox/SFP")# Cambio de directorio
list.files() # Lista de archivos en ese directorio## [1] "2014_employment.dta"
## [2] "Administrativo"
## [3] "Bases de datos"
## [4] "Curso"
## [5] "Día 3.pptx"
## [6] "Día 4.pptx"
## [7] "Día 5.pptx"
## [8] "Día 6.pptx"
## [9] "Día1.pptx"
## [10] "Día2.pptx"
## [11] "dummy.R"
## [12] "envipe0.png"
## [13] "envipe1.png"
## [14] "envipe3.png"
## [15] "envipe4.png"
## [16] "EnviromentD3.RData"
## [17] "Excel_2014_IMCO.xlsx"
## [18] "Excel_2016_IMCO.xlsx"
## [19] "fd_envipe2018.pdf"
## [20] "kupdf.net_estadiacutestica-aplicada-basica-david-s-moore.pdf"
## [21] "lca_2014.sav"
## [22] "mi_exportación.dta"
## [23] "mi_exportacion.sav"
## [24] "Mi_Exportación.xlsx"
## [25] "P3.pptx"
## [26] "paired.xlsx"
## [27] "Practica 5.R"
## [28] "Practica 6.R"
## [29] "Práctica 7.R"
## [30] "Práctica 9.R"
## [31] "Práctica Día 1.Rmd"
## [32] "Práctica Día 2.Rmd"
## [33] "Práctica intermedia.Rmd"
## [34] "Práctica_Día_1.md"
## [35] "Práctica_Día_1.Rmd"
## [36] "Práctica_Día_1.tex"
## [37] "Práctica_intermedia.md"
## [38] "Práctica10.Rmd"
## [39] "Práctica2.md"
## [40] "Práctica2.Rmd"
## [41] "Práctica3_files"
## [42] "Práctica3.md"
## [43] "Práctica3.Rmd"
## [44] "Práctica4_files"
## [45] "Práctica4.md"
## [46] "Práctica4.Rmd"
## [47] "Práctica5 continuación.R"
## [48] "Práctica5_files"
## [49] "Práctica5.md"
## [50] "Práctica5.Rmd"
## [51] "Práctica6_files"
## [52] "Práctica6.md"
## [53] "Práctica6.Rmd"
## [54] "Práctica7_files"
## [55] "Práctica7.md"
## [56] "Práctica7.Rmd"
## [57] "Práctica8.md"
## [58] "Práctica8.Rmd"
## [59] "Práctica9_files"
## [60] "Práctica9.md"
## [61] "Práctica9.Rmd"
## [62] "Programa.docx"
## [63] "rsconnect"
## [64] "THogar.dbf"
## [65] "TMod_Vic.dbf"
## [66] "TPer_Vic1_mod.dbf"
## [67] "TPer_Vic1.dbf"
## [68] "TSDem.dbf"
## [69] "TVivienda.dbf"Checar que esto también se puede hacer desde el menú
Las librerías son útiles para realizar funciones especiales. La especialización de paquetes es más rápida en R que en otros programas por ser un software libre.
Vamos a instalar el paquete "foreign", como su nombre lo indica, nos permite leer elementos "extranjeros" en R. Es sumamente útil porque nos permite leer casi todos los formatos, sin necesidad de usar paquetes especializados como StatTransfer.
Para instalar las paqueterías usamos el siguiente comando "install.packages()" Checa que adentro del paréntesis va el nombre de la librería, con comillas. Si estamos trabajando en la computadora no es necesario poner la opción repos = "http://cran.us.r-project.org"."
Con la opción "dependencies = TRUE" R nos instalará no sólo la librería o paquete que estamos pidiendo, sino todo aquellos paquetes que necesite la librería en cuestión. Muchas veces los diseños de los paquetes implican el uso de algún otro anterior. Por lo que poner esta sentencia nos puede ahorrar errores cuando estemos usando el paquete. Piensa que esto es similar a cuando enciendes tu computadora y tu sistema operativo te pide que mantengas las actualizaciones.
Vamos a instalar dos librerías que nos permiten importar formatos.
install.packages("foreign", repos = "http://cran.us.r-project.org", dependencies = TRUE)##
## The downloaded binary packages are in
## /var/folders/fr/mw1x21js54367mjdhqsjfwqm0000gn/T//Rtmpqdq9qQ/downloaded_packagesinstall.packages("haven", repos = "http://cran.us.r-project.org", dependencies = TRUE)##
## The downloaded binary packages are in
## /var/folders/fr/mw1x21js54367mjdhqsjfwqm0000gn/T//Rtmpqdq9qQ/downloaded_packagesEste proceso no hay que hacerlo siempre. Si no sólo la primera vez. Una vez instalado un paquete de librería, la llamamos con el comando "library"
library(foreign)Hoy vamos llamar el archivo. Este archivo es justo como se puede descargar desde Inegi. Inegi tiene muchos formatos de publicación. No obstante, el que es común a todos es el dbf.
Vamos a trabajar con la "Encuesta Nacional de Victimización y Percepción sobre Seguridad Pública (ENVIPE) 2018".
En realidad con una sola "tabla". Al objeto TPer_Vic118 se le asignará lo que leemos de archivo dbf. Actualmente la base se encuesta en este link link
Una vez que descargues la base, colocala en la carpeta de trabajo para que sea más sencillo de revisar.
TPer_Vic118 <- read.dbf("TPer_Vic1.dbf")Si no tenemos la base en nuestro directorio seguramente nos dará error. Si no se quiere utilizar esta carpeta, abrá que poner toda la ruta en el argumento de read.dbf:
TPer_Vic118 <- read.dbf("/Users/anaescoto/Dropbox/SFP/TPer_Vic1.dbf")[Recuerda checar las diagonales de la ruta]
Vamos a ver nuestra base de datos. Esto es como la "vista de datos" de SPSS o bien lo que veríamos con el "browse" en STATA
#View(TPer_Vic1)También con "head, vemos las primeras 6 líneas de la base de datos
head(TPer_Vic118)## ID_VIV ID_HOG ID_PER UPM VIV_SEL HOGAR RESUL_H
## 1 0100008.01 0100008.01.01 0100008.01.01.04 0100008 01 01 B
## 2 0100008.02 0100008.02.01 0100008.02.01.01 0100008 02 01 B
## 3 0100008.04 0100008.04.01 0100008.04.01.02 0100008 04 01 B
## 4 0100008.05 0100008.05.01 0100008.05.01.01 0100008 05 01 B
## 5 0100022.02 0100022.02.01 0100022.02.01.01 0100022 02 01 A
## 6 0100022.03 0100022.03.01 0100022.03.01.02 0100022 03 01 A
## R_SEL SEXO EDAD AREAM CVE_ENT NOM_ENT CVE_MUN NOM_MUN
## 1 04 2 37 14 01 Aguascalientes 001 Aguascalientes
## 2 01 1 68 14 01 Aguascalientes 001 Aguascalientes
## 3 02 1 25 14 01 Aguascalientes 001 Aguascalientes
## 4 01 2 56 14 01 Aguascalientes 001 Aguascalientes
## 5 01 2 41 14 01 Aguascalientes 001 Aguascalientes
## 6 02 1 39 14 01 Aguascalientes 001 Aguascalientes
## AP4_1 AP4_2_01 AP4_2_02 AP4_2_03 AP4_2_04 AP4_2_05 AP4_2_06 AP4_2_07
## 1 3 0 1 0 0 0 0 0
## 2 3 0 1 0 0 1 0 0
## 3 3 0 1 0 1 0 0 0
## 4 3 1 1 0 1 0 0 0
## 5 1 0 1 0 0 1 0 0
## 6 3 1 0 0 0 0 0 1
## AP4_2_08 AP4_2_09 AP4_2_10 AP4_2_11 AP4_2_12 AP4_2_99 AP4_3_1 AP4_3_2
## 1 0 1 0 1 0 0 1 1
## 2 1 0 0 0 0 0 2 2
## 3 0 1 0 0 0 0 1 1
## 4 0 0 0 0 0 0 1 2
## 5 1 0 0 0 0 0 2 2
## 6 0 0 0 1 0 0 2 2
## AP4_3_3 AP4_4_01 AP4_4_02 AP4_4_03 AP4_4_04 AP4_4_05 AP4_4_06 AP4_4_07
## 1 1 1 3 1 3 1 1 3
## 2 2 2 3 1 3 1 3 3
## 3 1 1 1 1 3 1 1 1
## 4 2 1 2 1 3 2 2 2
## 5 2 2 3 2 3 2 2 2
## 6 2 2 2 2 3 2 2 2
## AP4_4_08 AP4_4_09 AP4_4_10 AP4_4_11 AP4_4_12 AP4_5_01 AP4_5_02 AP4_5_03
## 1 2 2 1 1 3 0 0 0
## 2 3 2 3 3 3 0 0 0
## 3 1 3 1 1 3 0 0 0
## 4 2 2 1 1 3 0 0 0
## 5 2 3 2 2 2 1 1 0
## 6 3 2 3 3 2 0 0 0
## AP4_5_04 AP4_5_05 AP4_5_06 AP4_5_07 AP4_5_08 AP4_5_09 AP4_5_10 AP4_5_11
## 1 1 0 1 0 1 0 1 0
## 2 0 0 0 0 0 0 0 0
## 3 0 0 0 0 1 0 0 0
## 4 0 0 0 0 0 0 0 0
## 5 0 1 1 1 0 1 0 0
## 6 0 0 0 0 1 0 0 0
## AP4_5_12 AP4_5_13 AP4_5_14 AP4_5_15 AP4_5_16 AP4_5_99 AP4_6_1 AP4_6_2
## 1 0 0 0 0 0 0 2 2
## 2 0 0 0 0 1 0 2 2
## 3 0 0 0 0 0 0 2 2
## 4 0 0 0 0 1 0 1 2
## 5 0 0 1 1 0 0 1 2
## 6 0 0 0 0 0 0 1 1
## AP4_6_3 AP4_7_1 AP4_7_2 AP4_7_3 AP4_8_1 AP4_9_1 AP4_8_2 AP4_9_2 AP4_8_3
## 1 2 1 1 1 2 <NA> 1 1 1
## 2 2 3 1 1 1 1 2 <NA> 2
## 3 2 2 2 4 1 2 1 2 1
## 4 2 2 2 3 1 2 1 2 1
## 5 1 4 4 4 1 1 1 1 1
## 6 1 3 3 3 1 9 1 2 2
## AP4_9_3 AP4_8_4 AP4_9_4 AP4_8_5 AP4_9_5 AP4_8_6 AP4_9_6 AP4_10_01
## 1 2 2 <NA> 2 <NA> 2 <NA> 2
## 2 <NA> 2 <NA> 2 <NA> 3 <NA> 1
## 3 2 2 <NA> 2 <NA> 1 2 2
## 4 2 2 <NA> 1 2 3 <NA> 2
## 5 2 1 1 1 1 3 <NA> 1
## 6 <NA> 2 <NA> 1 2 1 2 1
## AP4_10_02 AP4_10_03 AP4_10_04 AP4_10_05 AP4_10_06 AP4_10_07 AP4_10_08
## 1 3 2 2 2 2 3 2
## 2 3 1 2 2 2 3 3
## 3 3 2 3 3 1 3 2
## 4 3 2 2 2 2 3 3
## 5 1 1 3 3 1 3 2
## 6 1 1 2 2 1 3 3
## AP4_10_09 AP4_10_10 AP4_10_11 AP4_10_12 AP4_10_13 AP4_10_14 AP4_10_15
## 1 2 2 2 2 3 2 2
## 2 2 3 2 3 3 3 2
## 3 2 2 2 2 3 2 2
## 4 2 2 3 2 2 2 1
## 5 2 1 2 1 3 2 1
## 6 2 3 2 1 3 1 1
## AP4_11_01 AP4_11_02 AP4_11_03 AP4_11_04 AP4_11_05 AP4_11_06 AP4_11_07
## 1 2 2 2 2 2 1 2
## 2 2 2 2 2 2 2 2
## 3 2 2 2 2 2 2 2
## 4 1 1 2 2 2 2 2
## 5 1 1 1 2 2 1 2
## 6 1 1 1 2 2 2 1
## AP4_11_08 AP4_11_09 AP4_11_10 AP4_11_11 AP4_12 AP5_1_01 AP5_1_02
## 1 2 2 2 9 9999999 3 3
## 2 2 2 2 9 <NA> 1 3
## 3 2 2 2 9 <NA> 1 3
## 4 2 2 2 9 0010000 2 2
## 5 2 2 2 9 0010000 1 3
## 6 2 2 2 9 0030000 1 1
## AP5_1_03 AP5_1_04 AP5_1_05 AP5_1_06 AP5_1_07 AP5_1_08 AP5_1_09 AP5_1_10
## 1 3 3 3 3 3 3 3 1
## 2 2 2 2 3 2 2 2 2
## 3 3 3 2 3 3 1 3 2
## 4 2 2 2 2 2 1 2 1
## 5 3 3 3 3 3 3 1 1
## 6 3 1 1 3 2 1 2 3
## AP5_1_11 AP5_1_12 AP5_1_13 AP5_2_1 AP5_2_2 AP5_2_3 AP5_2_4 AP5_3_01
## 1 2 2 3 1 5 1 1 1
## 2 2 2 9 3 5 3 3 2
## 3 1 1 9 2 2 1 1 1
## 4 1 1 3 1 4 1 5 1
## 5 3 3 9 2 5 2 2 1
## 6 1 1 9 3 3 1 3 1
## AP5_4_01 AP5_4_01_C AP5_5_01 AP5_6_01 AP5_7_1 AP5_3_02 AP5_4_02
## 1 2 2 1 3 2 1 2
## 2 <NA> <NA> <NA> <NA> <NA> 1 4
## 3 3 3 1 4 2 1 3
## 4 1 2 2 3 1 1 2
## 5 4 1 1 1 1 1 4
## 6 3 3 1 3 2 1 3
## AP5_4_02_C AP5_5_02 AP5_6_02 AP5_7_2 AP5_3_03 AP5_4_03 AP5_4_03_C
## 1 3 1 2 1 1 2 2
## 2 2 2 2 2 1 4 1
## 3 2 1 3 2 1 1 3
## 4 4 1 2 1 1 3 1
## 5 4 1 4 1 1 4 9
## 6 1 1 2 1 1 3 2
## AP5_5_03 AP5_6_03 AP5_7_3 AP5_3_04 AP5_4_04 AP5_4_04_C AP5_5_04 AP5_6_04
## 1 1 2 1 1 2 2 1 2
## 2 2 9 2 2 <NA> <NA> <NA> <NA>
## 3 2 1 1 1 3 4 1 3
## 4 9 1 1 2 <NA> <NA> <NA> <NA>
## 5 1 1 1 1 1 1 2 1
## 6 1 2 1 1 2 2 1 2
## AP5_7_4 AP5_3_05 AP5_4_05 AP5_4_05_C AP5_5_05 AP5_6_05 AP5_3_06 AP5_4_06
## 1 1 2 <NA> <NA> <NA> <NA> 1 2
## 2 <NA> 2 <NA> <NA> <NA> <NA> 2 <NA>
## 3 2 2 <NA> <NA> <NA> <NA> 1 2
## 4 <NA> 1 1 1 2 1 2 <NA>
## 5 1 1 4 2 1 4 1 4
## 6 1 1 3 9 1 2 1 3
## AP5_4_06_C AP5_5_06 AP5_6_06 AP5_3_07 AP5_4_07 AP5_4_07_C AP5_5_07
## 1 3 1 2 2 <NA> <NA> <NA>
## 2 <NA> <NA> <NA> 2 <NA> <NA> <NA>
## 3 3 1 3 1 4 3 1
## 4 <NA> <NA> <NA> 2 <NA> <NA> <NA>
## 5 4 1 4 1 4 2 1
## 6 4 1 3 1 3 2 1
## AP5_6_07 AP5_3_08 AP5_4_08 AP5_4_08_C AP5_5_08 AP5_6_08 AP5_3_09
## 1 <NA> 1 1 1 2 2 1
## 2 <NA> 1 2 1 2 1 2
## 3 3 1 4 1 1 1 1
## 4 <NA> 1 1 1 2 1 1
## 5 4 1 1 1 2 1 1
## 6 2 1 4 1 1 1 2
## AP5_4_09 AP5_4_09_C AP5_5_09 AP5_6_09 AP5_3_10 AP5_4_10 AP5_4_10_C
## 1 1 2 1 2 2 <NA> <NA>
## 2 <NA> <NA> <NA> <NA> 2 <NA> <NA>
## 3 4 3 1 3 1 2 2
## 4 1 1 2 1 2 <NA> <NA>
## 5 1 1 2 1 2 <NA> <NA>
## 6 <NA> <NA> <NA> <NA> 1 3 3
## AP5_5_10 AP5_6_10 AP5_8 FAC_HOG FAC_ELE FAC_HOG_AM FAC_ELE_AM DOMINIO
## 1 <NA> <NA> 3 000226 000903 000226 000903 U
## 2 <NA> <NA> 9 000226 000226 000226 000226 U
## 3 2 2 3 000226 000452 000226 000452 U
## 4 <NA> <NA> 4 000226 000677 000226 000677 U
## 5 <NA> <NA> 4 000215 000215 000215 000215 U
## 6 1 2 3 000215 000429 000215 000429 U
## ESTRATO EST_DIS UPM_DIS
## 1 4 003 00001
## 2 4 003 00001
## 3 4 003 00001
## 4 4 003 00001
## 5 3 002 00002
## 6 3 002 00002También con "tail", vemos las últimas 6 líneas de la base de datos
tail(TPer_Vic118)## ID_VIV ID_HOG ID_PER UPM VIV_SEL HOGAR
## 91536 3260801.12 3260801.12.01 3260801.12.01.02 3260801 12 01
## 91537 3260801.13 3260801.13.01 3260801.13.01.01 3260801 13 01
## 91538 3260801.15 3260801.15.01 3260801.15.01.02 3260801 15 01
## 91539 3260801.16 3260801.16.01 3260801.16.01.01 3260801 16 01
## 91540 3260801.17 3260801.17.01 3260801.17.01.01 3260801 17 01
## 91541 3260801.19 3260801.19.01 3260801.19.01.02 3260801 19 01
## RESUL_H R_SEL SEXO EDAD AREAM CVE_ENT NOM_ENT CVE_MUN
## 91536 B 02 1 25 <NA> 32 Zacatecas 058
## 91537 B 01 1 35 <NA> 32 Zacatecas 058
## 91538 A 02 2 65 <NA> 32 Zacatecas 058
## 91539 A 01 2 61 <NA> 32 Zacatecas 058
## 91540 B 01 1 60 <NA> 32 Zacatecas 058
## 91541 B 02 2 70 <NA> 32 Zacatecas 058
## NOM_MUN AP4_1 AP4_2_01 AP4_2_02 AP4_2_03 AP4_2_04
## 91536 Santa María de la Paz 3 0 0 0 1
## 91537 Santa María de la Paz 3 1 1 0 0
## 91538 Santa María de la Paz 3 1 1 0 0
## 91539 Santa María de la Paz 3 0 0 0 1
## 91540 Santa María de la Paz 3 0 0 0 1
## 91541 Santa María de la Paz 3 0 0 0 1
## AP4_2_05 AP4_2_06 AP4_2_07 AP4_2_08 AP4_2_09 AP4_2_10 AP4_2_11
## 91536 0 0 0 1 0 0 1
## 91537 0 0 0 0 1 0 0
## 91538 0 0 0 0 0 1 0
## 91539 1 0 0 0 1 0 0
## 91540 1 0 0 0 1 0 0
## 91541 0 0 0 0 0 1 1
## AP4_2_12 AP4_2_99 AP4_3_1 AP4_3_2 AP4_3_3 AP4_4_01 AP4_4_02 AP4_4_03
## 91536 0 0 1 1 1 1 1 1
## 91537 0 0 1 1 2 1 1 1
## 91538 0 0 2 2 2 2 3 2
## 91539 0 0 2 2 2 1 2 2
## 91540 0 0 2 2 2 1 1 1
## 91541 0 0 1 1 2 1 3 1
## AP4_4_04 AP4_4_05 AP4_4_06 AP4_4_07 AP4_4_08 AP4_4_09 AP4_4_10
## 91536 3 3 3 1 1 1 1
## 91537 3 3 3 3 3 1 1
## 91538 3 2 3 2 2 2 2
## 91539 3 1 3 1 1 1 1
## 91540 3 2 3 2 2 3 1
## 91541 3 3 3 3 3 1 3
## AP4_4_11 AP4_4_12 AP4_5_01 AP4_5_02 AP4_5_03 AP4_5_04 AP4_5_05
## 91536 1 1 1 0 0 0 0
## 91537 2 1 1 0 1 0 1
## 91538 2 3 1 0 1 0 1
## 91539 1 1 1 0 0 0 1
## 91540 1 3 1 0 0 0 0
## 91541 2 3 0 0 0 0 0
## AP4_5_06 AP4_5_07 AP4_5_08 AP4_5_09 AP4_5_10 AP4_5_11 AP4_5_12
## 91536 0 0 0 0 0 0 0
## 91537 0 0 1 1 0 0 0
## 91538 0 0 1 0 1 0 0
## 91539 0 0 0 1 0 0 0
## 91540 0 0 1 1 1 0 1
## 91541 0 0 0 0 0 0 0
## AP4_5_13 AP4_5_14 AP4_5_15 AP4_5_16 AP4_5_99 AP4_6_1 AP4_6_2 AP4_6_3
## 91536 0 0 1 0 0 2 1 1
## 91537 0 0 1 0 0 2 2 2
## 91538 1 1 0 0 0 9 9 9
## 91539 0 0 0 0 0 2 2 2
## 91540 1 0 0 0 0 1 2 1
## 91541 0 0 0 1 0 2 2 2
## AP4_7_1 AP4_7_2 AP4_7_3 AP4_8_1 AP4_9_1 AP4_8_2 AP4_9_2 AP4_8_3
## 91536 2 3 3 2 <NA> 2 <NA> 2
## 91537 2 3 3 2 <NA> 2 <NA> 2
## 91538 4 4 4 1 2 2 <NA> 2
## 91539 3 4 4 2 <NA> 2 <NA> 1
## 91540 3 4 4 2 <NA> 2 <NA> 2
## 91541 9 9 9 2 <NA> 2 <NA> 2
## AP4_9_3 AP4_8_4 AP4_9_4 AP4_8_5 AP4_9_5 AP4_8_6 AP4_9_6 AP4_10_01
## 91536 <NA> 2 <NA> 1 2 2 <NA> 1
## 91537 <NA> 2 <NA> 2 <NA> 2 <NA> 2
## 91538 <NA> 2 <NA> 2 <NA> 2 <NA> 2
## 91539 2 2 <NA> 1 2 2 <NA> 1
## 91540 <NA> 2 <NA> 2 <NA> 2 <NA> 2
## 91541 <NA> 2 <NA> 2 <NA> 2 <NA> 2
## AP4_10_02 AP4_10_03 AP4_10_04 AP4_10_05 AP4_10_06 AP4_10_07
## 91536 3 2 3 3 2 3
## 91537 1 2 3 2 2 3
## 91538 3 2 2 2 2 3
## 91539 3 2 2 2 1 3
## 91540 3 1 2 2 1 3
## 91541 3 2 3 2 2 3
## AP4_10_08 AP4_10_09 AP4_10_10 AP4_10_11 AP4_10_12 AP4_10_13
## 91536 3 2 3 2 3 3
## 91537 3 2 3 2 3 2
## 91538 3 2 3 3 3 3
## 91539 3 2 1 2 2 3
## 91540 3 1 3 1 3 3
## 91541 3 2 3 3 3 3
## AP4_10_14 AP4_10_15 AP4_11_01 AP4_11_02 AP4_11_03 AP4_11_04
## 91536 3 2 2 2 2 2
## 91537 3 2 2 2 2 2
## 91538 3 2 2 2 2 2
## 91539 2 2 1 1 1 1
## 91540 2 2 2 2 2 2
## 91541 3 3 2 2 2 2
## AP4_11_05 AP4_11_06 AP4_11_07 AP4_11_08 AP4_11_09 AP4_11_10
## 91536 2 2 2 2 2 2
## 91537 2 2 2 2 2 2
## 91538 2 2 2 2 2 2
## 91539 2 1 2 2 2 2
## 91540 2 2 2 2 2 2
## 91541 2 2 2 2 2 2
## AP4_11_11 AP4_12 AP5_1_01 AP5_1_02 AP5_1_03 AP5_1_04 AP5_1_05
## 91536 9 <NA> 1 1 1 2 1
## 91537 9 <NA> 1 1 1 1 1
## 91538 9 <NA> 1 1 3 3 3
## 91539 9 0005500 1 1 1 1 1
## 91540 9 <NA> 1 3 3 1 3
## 91541 9 <NA> 2 2 1 2 2
## AP5_1_06 AP5_1_07 AP5_1_08 AP5_1_09 AP5_1_10 AP5_1_11 AP5_1_12
## 91536 3 3 3 2 2 2 2
## 91537 3 3 3 1 1 1 1
## 91538 3 3 1 3 3 3 3
## 91539 3 3 1 1 3 3 3
## 91540 2 2 2 2 2 3 3
## 91541 3 3 2 2 2 2 2
## AP5_1_13 AP5_2_1 AP5_2_2 AP5_2_3 AP5_2_4 AP5_3_01 AP5_4_01
## 91536 9 2 1 2 2 2 <NA>
## 91537 3 2 1 1 1 2 <NA>
## 91538 9 3 5 1 5 2 <NA>
## 91539 9 1 5 1 1 2 <NA>
## 91540 9 3 5 1 1 2 <NA>
## 91541 9 2 5 2 5 2 <NA>
## AP5_4_01_C AP5_5_01 AP5_6_01 AP5_7_1 AP5_3_02 AP5_4_02 AP5_4_02_C
## 91536 <NA> <NA> <NA> <NA> 1 2 3
## 91537 <NA> <NA> <NA> <NA> 1 1 1
## 91538 <NA> <NA> <NA> <NA> 1 2 4
## 91539 <NA> <NA> <NA> <NA> 1 2 1
## 91540 <NA> <NA> <NA> <NA> 1 2 2
## 91541 <NA> <NA> <NA> <NA> 2 <NA> <NA>
## AP5_5_02 AP5_6_02 AP5_7_2 AP5_3_03 AP5_4_03 AP5_4_03_C AP5_5_03
## 91536 2 2 2 1 1 3 2
## 91537 2 1 1 1 2 3 2
## 91538 2 4 2 2 <NA> <NA> <NA>
## 91539 2 2 1 2 <NA> <NA> <NA>
## 91540 2 2 1 2 <NA> <NA> <NA>
## 91541 <NA> <NA> <NA> 2 <NA> <NA> <NA>
## AP5_6_03 AP5_7_3 AP5_3_04 AP5_4_04 AP5_4_04_C AP5_5_04 AP5_6_04
## 91536 1 1 1 1 1 2 1
## 91537 2 1 1 2 2 2 2
## 91538 <NA> <NA> 2 <NA> <NA> <NA> <NA>
## 91539 <NA> <NA> 2 <NA> <NA> <NA> <NA>
## 91540 <NA> <NA> 2 <NA> <NA> <NA> <NA>
## 91541 <NA> <NA> 2 <NA> <NA> <NA> <NA>
## AP5_7_4 AP5_3_05 AP5_4_05 AP5_4_05_C AP5_5_05 AP5_6_05 AP5_3_06
## 91536 1 1 1 1 2 1 2
## 91537 1 1 2 3 2 2 1
## 91538 <NA> 2 <NA> <NA> <NA> <NA> 2
## 91539 <NA> 1 9 2 2 2 1
## 91540 <NA> 2 <NA> <NA> <NA> <NA> 2
## 91541 <NA> 2 <NA> <NA> <NA> <NA> 2
## AP5_4_06 AP5_4_06_C AP5_5_06 AP5_6_06 AP5_3_07 AP5_4_07 AP5_4_07_C
## 91536 <NA> <NA> <NA> <NA> 2 <NA> <NA>
## 91537 2 2 2 2 1 2 2
## 91538 <NA> <NA> <NA> <NA> 2 <NA> <NA>
## 91539 2 2 2 2 2 <NA> <NA>
## 91540 <NA> <NA> <NA> <NA> 2 <NA> <NA>
## 91541 <NA> <NA> <NA> <NA> 2 <NA> <NA>
## AP5_5_07 AP5_6_07 AP5_3_08 AP5_4_08 AP5_4_08_C AP5_5_08 AP5_6_08
## 91536 <NA> <NA> 1 1 1 2 1
## 91537 2 2 1 1 1 2 1
## 91538 <NA> <NA> 1 1 1 2 1
## 91539 <NA> <NA> 1 1 1 2 1
## 91540 <NA> <NA> 2 <NA> <NA> <NA> <NA>
## 91541 <NA> <NA> 2 <NA> <NA> <NA> <NA>
## AP5_3_09 AP5_4_09 AP5_4_09_C AP5_5_09 AP5_6_09 AP5_3_10 AP5_4_10
## 91536 1 1 9 2 1 2 <NA>
## 91537 1 1 1 2 1 1 2
## 91538 2 <NA> <NA> <NA> <NA> 2 <NA>
## 91539 2 <NA> <NA> <NA> <NA> 2 <NA>
## 91540 2 <NA> <NA> <NA> <NA> 2 <NA>
## 91541 2 <NA> <NA> <NA> <NA> 2 <NA>
## AP5_4_10_C AP5_5_10 AP5_6_10 AP5_8 FAC_HOG FAC_ELE FAC_HOG_AM
## 91536 <NA> <NA> <NA> 3 000199 000399 <NA>
## 91537 2 2 2 4 000199 000399 <NA>
## 91538 <NA> <NA> <NA> 4 000199 000399 <NA>
## 91539 <NA> <NA> <NA> 3 000199 000199 <NA>
## 91540 <NA> <NA> <NA> 4 000199 000399 <NA>
## 91541 <NA> <NA> <NA> 9 000199 000598 <NA>
## FAC_ELE_AM DOMINIO ESTRATO EST_DIS UPM_DIS
## 91536 <NA> R 2 595 13208
## 91537 <NA> R 2 595 13208
## 91538 <NA> R 2 595 13208
## 91539 <NA> R 2 595 13208
## 91540 <NA> R 2 595 13208
## 91541 <NA> R 2 595 13208Ver los nombres de las variables
names(TPer_Vic118)## [1] "ID_VIV" "ID_HOG" "ID_PER" "UPM" "VIV_SEL"
## [6] "HOGAR" "RESUL_H" "R_SEL" "SEXO" "EDAD"
## [11] "AREAM" "CVE_ENT" "NOM_ENT" "CVE_MUN" "NOM_MUN"
## [16] "AP4_1" "AP4_2_01" "AP4_2_02" "AP4_2_03" "AP4_2_04"
## [21] "AP4_2_05" "AP4_2_06" "AP4_2_07" "AP4_2_08" "AP4_2_09"
## [26] "AP4_2_10" "AP4_2_11" "AP4_2_12" "AP4_2_99" "AP4_3_1"
## [31] "AP4_3_2" "AP4_3_3" "AP4_4_01" "AP4_4_02" "AP4_4_03"
## [36] "AP4_4_04" "AP4_4_05" "AP4_4_06" "AP4_4_07" "AP4_4_08"
## [41] "AP4_4_09" "AP4_4_10" "AP4_4_11" "AP4_4_12" "AP4_5_01"
## [46] "AP4_5_02" "AP4_5_03" "AP4_5_04" "AP4_5_05" "AP4_5_06"
## [51] "AP4_5_07" "AP4_5_08" "AP4_5_09" "AP4_5_10" "AP4_5_11"
## [56] "AP4_5_12" "AP4_5_13" "AP4_5_14" "AP4_5_15" "AP4_5_16"
## [61] "AP4_5_99" "AP4_6_1" "AP4_6_2" "AP4_6_3" "AP4_7_1"
## [66] "AP4_7_2" "AP4_7_3" "AP4_8_1" "AP4_9_1" "AP4_8_2"
## [71] "AP4_9_2" "AP4_8_3" "AP4_9_3" "AP4_8_4" "AP4_9_4"
## [76] "AP4_8_5" "AP4_9_5" "AP4_8_6" "AP4_9_6" "AP4_10_01"
## [81] "AP4_10_02" "AP4_10_03" "AP4_10_04" "AP4_10_05" "AP4_10_06"
## [86] "AP4_10_07" "AP4_10_08" "AP4_10_09" "AP4_10_10" "AP4_10_11"
## [91] "AP4_10_12" "AP4_10_13" "AP4_10_14" "AP4_10_15" "AP4_11_01"
## [96] "AP4_11_02" "AP4_11_03" "AP4_11_04" "AP4_11_05" "AP4_11_06"
## [101] "AP4_11_07" "AP4_11_08" "AP4_11_09" "AP4_11_10" "AP4_11_11"
## [106] "AP4_12" "AP5_1_01" "AP5_1_02" "AP5_1_03" "AP5_1_04"
## [111] "AP5_1_05" "AP5_1_06" "AP5_1_07" "AP5_1_08" "AP5_1_09"
## [116] "AP5_1_10" "AP5_1_11" "AP5_1_12" "AP5_1_13" "AP5_2_1"
## [121] "AP5_2_2" "AP5_2_3" "AP5_2_4" "AP5_3_01" "AP5_4_01"
## [126] "AP5_4_01_C" "AP5_5_01" "AP5_6_01" "AP5_7_1" "AP5_3_02"
## [131] "AP5_4_02" "AP5_4_02_C" "AP5_5_02" "AP5_6_02" "AP5_7_2"
## [136] "AP5_3_03" "AP5_4_03" "AP5_4_03_C" "AP5_5_03" "AP5_6_03"
## [141] "AP5_7_3" "AP5_3_04" "AP5_4_04" "AP5_4_04_C" "AP5_5_04"
## [146] "AP5_6_04" "AP5_7_4" "AP5_3_05" "AP5_4_05" "AP5_4_05_C"
## [151] "AP5_5_05" "AP5_6_05" "AP5_3_06" "AP5_4_06" "AP5_4_06_C"
## [156] "AP5_5_06" "AP5_6_06" "AP5_3_07" "AP5_4_07" "AP5_4_07_C"
## [161] "AP5_5_07" "AP5_6_07" "AP5_3_08" "AP5_4_08" "AP5_4_08_C"
## [166] "AP5_5_08" "AP5_6_08" "AP5_3_09" "AP5_4_09" "AP5_4_09_C"
## [171] "AP5_5_09" "AP5_6_09" "AP5_3_10" "AP5_4_10" "AP5_4_10_C"
## [176] "AP5_5_10" "AP5_6_10" "AP5_8" "FAC_HOG" "FAC_ELE"
## [181] "FAC_HOG_AM" "FAC_ELE_AM" "DOMINIO" "ESTRATO" "EST_DIS"
## [186] "UPM_DIS"Revisar la estructura de la base de datos
str(TPer_Vic118)## 'data.frame': 91541 obs. of 186 variables:
## $ ID_VIV : Factor w/ 89572 levels "0100008.01","0100008.02",..: 1 2 3 4 5 6 7 8 9 10 ...
## $ ID_HOG : Factor w/ 91541 levels "0100008.01.01",..: 1 2 3 4 5 6 7 8 9 10 ...
## $ ID_PER : Factor w/ 91541 levels "0100008.01.01.04",..: 1 2 3 4 5 6 7 8 9 10 ...
## $ UPM : Factor w/ 13191 levels "0100008","0100022",..: 1 1 1 1 2 2 2 2 3 3 ...
## $ VIV_SEL : Factor w/ 26 levels "01","02","03",..: 1 2 4 5 2 3 4 5 1 3 ...
## $ HOGAR : Factor w/ 6 levels "01","02","03",..: 1 1 1 1 1 1 1 1 1 1 ...
## $ RESUL_H : Factor w/ 2 levels "A","B": 2 2 2 2 1 1 2 1 2 1 ...
## $ R_SEL : Factor w/ 15 levels "01","02","03",..: 4 1 2 1 1 2 2 1 2 1 ...
## $ SEXO : Factor w/ 2 levels "1","2": 2 1 1 2 2 1 2 2 2 1 ...
## $ EDAD : Factor w/ 81 levels "18","19","20",..: 20 51 8 39 24 22 58 53 43 10 ...
## $ AREAM : Factor w/ 33 levels "01","02","03",..: 13 13 13 13 13 13 13 13 13 13 ...
## $ CVE_ENT : Factor w/ 32 levels "01","02","03",..: 1 1 1 1 1 1 1 1 1 1 ...
## $ NOM_ENT : Factor w/ 32 levels "Aguascalientes",..: 1 1 1 1 1 1 1 1 1 1 ...
## $ CVE_MUN : Factor w/ 242 levels "001","002","003",..: 1 1 1 1 1 1 1 1 1 1 ...
## $ NOM_MUN : Factor w/ 1078 levels "Abalá","Abasolo",..: 23 23 23 23 23 23 23 23 23 23 ...
## $ AP4_1 : Factor w/ 4 levels "1","2","3","9": 3 3 3 3 1 3 3 3 3 3 ...
## $ AP4_2_01 : Factor w/ 2 levels "0","1": 1 1 1 2 1 2 2 2 1 1 ...
## $ AP4_2_02 : Factor w/ 2 levels "0","1": 2 2 2 2 2 1 1 1 1 1 ...
## $ AP4_2_03 : Factor w/ 2 levels "0","1": 1 1 1 1 1 1 2 2 1 2 ...
## $ AP4_2_04 : Factor w/ 2 levels "0","1": 1 1 2 2 1 1 1 1 2 2 ...
## $ AP4_2_05 : Factor w/ 2 levels "0","1": 1 2 1 1 2 1 2 1 2 1 ...
## $ AP4_2_06 : Factor w/ 2 levels "0","1": 1 1 1 1 1 1 1 1 1 1 ...
## $ AP4_2_07 : Factor w/ 2 levels "0","1": 1 1 1 1 1 2 1 1 2 1 ...
## $ AP4_2_08 : Factor w/ 2 levels "0","1": 1 2 1 1 2 1 1 1 1 1 ...
## $ AP4_2_09 : Factor w/ 2 levels "0","1": 2 1 2 1 1 1 1 2 1 1 ...
## $ AP4_2_10 : Factor w/ 2 levels "0","1": 1 1 1 1 1 1 1 1 1 1 ...
## $ AP4_2_11 : Factor w/ 2 levels "0","1": 2 1 1 1 1 2 1 1 1 2 ...
## $ AP4_2_12 : Factor w/ 2 levels "0","1": 1 1 1 1 1 1 1 1 1 1 ...
## $ AP4_2_99 : Factor w/ 2 levels "0","1": 1 1 1 1 1 1 1 1 1 1 ...
## $ AP4_3_1 : Factor w/ 3 levels "1","2","9": 1 2 1 1 2 2 1 1 2 2 ...
## $ AP4_3_2 : Factor w/ 3 levels "1","2","9": 1 2 1 2 2 2 2 1 2 2 ...
## $ AP4_3_3 : Factor w/ 3 levels "1","2","9": 1 2 1 2 2 2 2 1 2 2 ...
## $ AP4_4_01 : Factor w/ 4 levels "1","2","3","9": 1 2 1 1 2 2 1 1 2 1 ...
## $ AP4_4_02 : Factor w/ 4 levels "1","2","3","9": 3 3 1 2 3 2 3 3 3 1 ...
## $ AP4_4_03 : Factor w/ 4 levels "1","2","3","9": 1 1 1 1 2 2 2 1 1 1 ...
## $ AP4_4_04 : Factor w/ 4 levels "1","2","3","9": 3 3 3 3 3 3 3 3 3 3 ...
## $ AP4_4_05 : Factor w/ 4 levels "1","2","3","9": 1 1 1 2 2 2 2 1 1 1 ...
## $ AP4_4_06 : Factor w/ 4 levels "1","2","3","9": 1 3 1 2 2 2 2 1 3 1 ...
## $ AP4_4_07 : Factor w/ 4 levels "1","2","3","9": 3 3 1 2 2 2 3 3 3 3 ...
## $ AP4_4_08 : Factor w/ 4 levels "1","2","3","9": 2 3 1 2 2 3 3 1 3 3 ...
## $ AP4_4_09 : Factor w/ 4 levels "1","2","3","9": 2 2 3 2 3 2 3 1 1 3 ...
## $ AP4_4_10 : Factor w/ 4 levels "1","2","3","9": 1 3 1 1 2 3 2 1 3 1 ...
## $ AP4_4_11 : Factor w/ 4 levels "1","2","3","9": 1 3 1 1 2 3 2 2 3 1 ...
## $ AP4_4_12 : Factor w/ 4 levels "1","2","3","9": 3 3 3 3 2 2 3 3 3 3 ...
## $ AP4_5_01 : Factor w/ 2 levels "0","1": 1 1 1 1 2 1 1 1 2 2 ...
## $ AP4_5_02 : Factor w/ 2 levels "0","1": 1 1 1 1 2 1 1 1 1 2 ...
## $ AP4_5_03 : Factor w/ 2 levels "0","1": 1 1 1 1 1 1 1 1 1 1 ...
## $ AP4_5_04 : Factor w/ 2 levels "0","1": 2 1 1 1 1 1 1 1 1 1 ...
## $ AP4_5_05 : Factor w/ 2 levels "0","1": 1 1 1 1 2 1 1 1 1 1 ...
## $ AP4_5_06 : Factor w/ 2 levels "0","1": 2 1 1 1 2 1 1 1 1 2 ...
## $ AP4_5_07 : Factor w/ 2 levels "0","1": 1 1 1 1 2 1 1 1 1 1 ...
## $ AP4_5_08 : Factor w/ 2 levels "0","1": 2 1 2 1 1 2 1 1 1 2 ...
## $ AP4_5_09 : Factor w/ 2 levels "0","1": 1 1 1 1 2 1 2 1 1 2 ...
## $ AP4_5_10 : Factor w/ 2 levels "0","1": 2 1 1 1 1 1 1 1 1 2 ...
## $ AP4_5_11 : Factor w/ 2 levels "0","1": 1 1 1 1 1 1 1 1 1 1 ...
## $ AP4_5_12 : Factor w/ 2 levels "0","1": 1 1 1 1 1 1 1 1 1 1 ...
## $ AP4_5_13 : Factor w/ 2 levels "0","1": 1 1 1 1 1 1 1 1 1 2 ...
## $ AP4_5_14 : Factor w/ 2 levels "0","1": 1 1 1 1 2 1 1 1 1 2 ...
## $ AP4_5_15 : Factor w/ 2 levels "0","1": 1 1 1 1 2 1 1 1 1 1 ...
## $ AP4_5_16 : Factor w/ 2 levels "0","1": 1 2 1 2 1 1 1 2 1 1 ...
## $ AP4_5_99 : Factor w/ 2 levels "0","1": 1 1 1 1 1 1 1 1 1 1 ...
## $ AP4_6_1 : Factor w/ 4 levels "1","2","3","9": 2 2 2 1 1 1 1 2 1 1 ...
## $ AP4_6_2 : Factor w/ 4 levels "1","2","3","9": 2 2 2 2 2 1 2 2 2 2 ...
## $ AP4_6_3 : Factor w/ 4 levels "1","2","3","9": 2 2 2 2 1 1 1 2 2 2 ...
## $ AP4_7_1 : Factor w/ 5 levels "1","2","3","4",..: 1 3 2 2 4 3 4 2 3 4 ...
## $ AP4_7_2 : Factor w/ 5 levels "1","2","3","4",..: 1 1 2 2 4 3 4 2 3 4 ...
## $ AP4_7_3 : Factor w/ 5 levels "1","2","3","4",..: 1 1 4 3 4 3 4 5 3 4 ...
## $ AP4_8_1 : Factor w/ 4 levels "1","2","3","9": 2 1 1 1 1 1 2 2 2 2 ...
## $ AP4_9_1 : Factor w/ 3 levels "1","2","9": NA 1 2 2 1 3 NA NA NA NA ...
## $ AP4_8_2 : Factor w/ 4 levels "1","2","3","9": 1 2 1 1 1 1 1 2 1 2 ...
## $ AP4_9_2 : Factor w/ 3 levels "1","2","9": 1 NA 2 2 1 2 2 NA 2 NA ...
## $ AP4_8_3 : Factor w/ 4 levels "1","2","3","9": 1 2 1 1 1 2 2 2 2 2 ...
## $ AP4_9_3 : Factor w/ 3 levels "1","2","9": 2 NA 2 2 2 NA NA NA NA NA ...
## $ AP4_8_4 : Factor w/ 4 levels "1","2","3","9": 2 2 2 2 1 2 2 2 2 1 ...
## $ AP4_9_4 : Factor w/ 3 levels "1","2","9": NA NA NA NA 1 NA NA NA NA 2 ...
## $ AP4_8_5 : Factor w/ 4 levels "1","2","3","9": 2 2 2 1 1 1 1 2 2 1 ...
## $ AP4_9_5 : Factor w/ 3 levels "1","2","9": NA NA NA 2 1 2 2 NA NA 2 ...
## $ AP4_8_6 : Factor w/ 4 levels "1","2","3","9": 2 3 1 3 3 1 3 2 2 3 ...
## $ AP4_9_6 : Factor w/ 3 levels "1","2","9": NA NA 2 NA NA 2 NA NA NA NA ...
## $ AP4_10_01 : Factor w/ 4 levels "1","2","3","9": 2 1 2 2 1 1 2 3 2 2 ...
## $ AP4_10_02 : Factor w/ 4 levels "1","2","3","9": 3 3 3 3 1 1 2 3 3 3 ...
## $ AP4_10_03 : Factor w/ 4 levels "1","2","3","9": 2 1 2 2 1 1 2 3 2 2 ...
## $ AP4_10_04 : Factor w/ 4 levels "1","2","3","9": 2 2 3 2 3 2 2 3 2 2 ...
## $ AP4_10_05 : Factor w/ 4 levels "1","2","3","9": 2 2 3 2 3 2 2 3 2 2 ...
## $ AP4_10_06 : Factor w/ 4 levels "1","2","3","9": 2 2 1 2 1 1 2 2 3 2 ...
## $ AP4_10_07 : Factor w/ 4 levels "1","2","3","9": 3 3 3 3 3 3 3 3 3 3 ...
## $ AP4_10_08 : Factor w/ 4 levels "1","2","3","9": 2 3 2 3 2 3 2 2 3 2 ...
## $ AP4_10_09 : Factor w/ 4 levels "1","2","3","9": 2 2 2 2 2 2 2 2 3 2 ...
## $ AP4_10_10 : Factor w/ 4 levels "1","2","3","9": 2 3 2 2 1 3 2 3 3 2 ...
## $ AP4_10_11 : Factor w/ 4 levels "1","2","3","9": 2 2 2 3 2 2 2 3 3 2 ...
## $ AP4_10_12 : Factor w/ 4 levels "1","2","3","9": 2 3 2 2 1 1 3 3 3 3 ...
## $ AP4_10_13 : Factor w/ 4 levels "1","2","3","9": 3 3 3 2 3 3 3 3 3 3 ...
## $ AP4_10_14 : Factor w/ 4 levels "1","2","3","9": 2 3 2 2 2 1 2 2 3 2 ...
## $ AP4_10_15 : Factor w/ 4 levels "1","2","3","9": 2 2 2 1 1 1 2 3 3 2 ...
## $ AP4_11_01 : Factor w/ 3 levels "1","2","9": 2 2 2 1 1 1 2 2 2 1 ...
## $ AP4_11_02 : Factor w/ 3 levels "1","2","9": 2 2 2 1 1 1 2 2 2 1 ...
## $ AP4_11_03 : Factor w/ 3 levels "1","2","9": 2 2 2 2 1 1 2 2 2 2 ...
## $ AP4_11_04 : Factor w/ 3 levels "1","2","9": 2 2 2 2 2 2 2 2 2 2 ...
## $ AP4_11_05 : Factor w/ 3 levels "1","2","9": 2 2 2 2 2 2 2 2 2 2 ...
## [list output truncated]
## - attr(*, "data_types")= chr "C" "C" "C" "C" ...Otro comando que hace algo similar, en el universo tidy, tydiverse https://www.tidyverse.org/, con la librería dplyr y el comando glimpse
install.packages("tidyverse", repos = "http://cran.us.r-project.org", dependencies = TRUE)##
## The downloaded binary packages are in
## /var/folders/fr/mw1x21js54367mjdhqsjfwqm0000gn/T//Rtmpqdq9qQ/downloaded_packageslibrary(dplyr)##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unionglimpse(TPer_Vic118)## Observations: 91,541
## Variables: 186
## $ ID_VIV <fct> 0100008.01, 0100008.02, 0100008.04, 0100008.05, 01000…
## $ ID_HOG <fct> 0100008.01.01, 0100008.02.01, 0100008.04.01, 0100008.…
## $ ID_PER <fct> 0100008.01.01.04, 0100008.02.01.01, 0100008.04.01.02,…
## $ UPM <fct> 0100008, 0100008, 0100008, 0100008, 0100022, 0100022,…
## $ VIV_SEL <fct> 01, 02, 04, 05, 02, 03, 04, 05, 01, 03, 04, 01, 01, 0…
## $ HOGAR <fct> 01, 01, 01, 01, 01, 01, 01, 01, 01, 01, 01, 01, 02, 0…
## $ RESUL_H <fct> B, B, B, B, A, A, B, A, B, A, B, A, B, B, A, B, A, A,…
## $ R_SEL <fct> 04, 01, 02, 01, 01, 02, 02, 01, 02, 01, 03, 02, 01, 0…
## $ SEXO <fct> 2, 1, 1, 2, 2, 1, 2, 2, 2, 1, 2, 2, 1, 2, 2, 2, 1, 2,…
## $ EDAD <fct> 37, 68, 25, 56, 41, 39, 75, 70, 60, 27, 34, 23, 63, 5…
## $ AREAM <fct> 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 1…
## $ CVE_ENT <fct> 01, 01, 01, 01, 01, 01, 01, 01, 01, 01, 01, 01, 01, 0…
## $ NOM_ENT <fct> Aguascalientes, Aguascalientes, Aguascalientes, Aguas…
## $ CVE_MUN <fct> 001, 001, 001, 001, 001, 001, 001, 001, 001, 001, 001…
## $ NOM_MUN <fct> Aguascalientes, Aguascalientes, Aguascalientes, Aguas…
## $ AP4_1 <fct> 3, 3, 3, 3, 1, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,…
## $ AP4_2_01 <fct> 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0,…
## $ AP4_2_02 <fct> 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1,…
## $ AP4_2_03 <fct> 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0,…
## $ AP4_2_04 <fct> 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0,…
## $ AP4_2_05 <fct> 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1,…
## $ AP4_2_06 <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
## $ AP4_2_07 <fct> 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
## $ AP4_2_08 <fct> 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0,…
## $ AP4_2_09 <fct> 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0,…
## $ AP4_2_10 <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1,…
## $ AP4_2_11 <fct> 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0,…
## $ AP4_2_12 <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
## $ AP4_2_99 <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
## $ AP4_3_1 <fct> 1, 2, 1, 1, 2, 2, 1, 1, 2, 2, 1, 2, 2, 1, 2, 2, 2, 2,…
## $ AP4_3_2 <fct> 1, 2, 1, 2, 2, 2, 2, 1, 2, 2, 1, 2, 2, 2, 2, 2, 1, 1,…
## $ AP4_3_3 <fct> 1, 2, 1, 2, 2, 2, 2, 1, 2, 2, 1, 2, 2, 2, 2, 2, 1, 1,…
## $ AP4_4_01 <fct> 1, 2, 1, 1, 2, 2, 1, 1, 2, 1, 1, 2, 2, 1, 1, 1, 1, 1,…
## $ AP4_4_02 <fct> 3, 3, 1, 2, 3, 2, 3, 3, 3, 1, 3, 1, 2, 3, 1, 3, 1, 1,…
## $ AP4_4_03 <fct> 1, 1, 1, 1, 2, 2, 2, 1, 1, 1, 1, 2, 2, 2, 2, 2, 1, 2,…
## $ AP4_4_04 <fct> 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,…
## $ AP4_4_05 <fct> 1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1, 2, 2, 2, 2, 3, 1, 1,…
## $ AP4_4_06 <fct> 1, 3, 1, 2, 2, 2, 2, 1, 3, 1, 1, 1, 2, 1, 1, 3, 1, 1,…
## $ AP4_4_07 <fct> 3, 3, 1, 2, 2, 2, 3, 3, 3, 3, 2, 3, 3, 3, 1, 2, 1, 3,…
## $ AP4_4_08 <fct> 2, 3, 1, 2, 2, 3, 3, 1, 3, 3, 2, 3, 2, 3, 2, 2, 2, 1,…
## $ AP4_4_09 <fct> 2, 2, 3, 2, 3, 2, 3, 1, 1, 3, 1, 2, 3, 2, 3, 3, 3, 3,…
## $ AP4_4_10 <fct> 1, 3, 1, 1, 2, 3, 2, 1, 3, 1, 1, 1, 2, 1, 1, 2, 1, 3,…
## $ AP4_4_11 <fct> 1, 3, 1, 1, 2, 3, 2, 2, 3, 1, 1, 1, 2, 2, 1, 2, 1, 3,…
## $ AP4_4_12 <fct> 3, 3, 3, 3, 2, 2, 3, 3, 3, 3, 3, 1, 3, 3, 3, 3, 3, 3,…
## $ AP4_5_01 <fct> 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1,…
## $ AP4_5_02 <fct> 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1,…
## $ AP4_5_03 <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1,…
## $ AP4_5_04 <fct> 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1,…
## $ AP4_5_05 <fct> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0,…
## $ AP4_5_06 <fct> 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1,…
## $ AP4_5_07 <fct> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1,…
## $ AP4_5_08 <fct> 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1,…
## $ AP4_5_09 <fct> 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1,…
## $ AP4_5_10 <fct> 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0,…
## $ AP4_5_11 <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0,…
## $ AP4_5_12 <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1,…
## $ AP4_5_13 <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0,…
## $ AP4_5_14 <fct> 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0,…
## $ AP4_5_15 <fct> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0,…
## $ AP4_5_16 <fct> 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
## $ AP4_5_99 <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
## $ AP4_6_1 <fct> 2, 2, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1,…
## $ AP4_6_2 <fct> 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1,…
## $ AP4_6_3 <fct> 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 1, 1, 2, 2, 1, 2, 2, 1,…
## $ AP4_7_1 <fct> 1, 3, 2, 2, 4, 3, 4, 2, 3, 4, 1, 4, 1, 3, 4, 3, 1, 3,…
## $ AP4_7_2 <fct> 1, 1, 2, 2, 4, 3, 4, 2, 3, 4, 2, 1, 1, 4, 3, 3, 1, 1,…
## $ AP4_7_3 <fct> 1, 1, 4, 3, 4, 3, 4, 9, 3, 4, 4, 3, 4, 4, 3, 3, 1, 4,…
## $ AP4_8_1 <fct> 2, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2,…
## $ AP4_9_1 <fct> NA, 1, 2, 2, 1, 9, NA, NA, NA, NA, NA, 2, NA, NA, NA,…
## $ AP4_8_2 <fct> 1, 2, 1, 1, 1, 1, 1, 2, 1, 2, 2, 1, 2, 2, 2, 2, 2, 2,…
## $ AP4_9_2 <fct> 1, NA, 2, 2, 1, 2, 2, NA, 2, NA, NA, 2, NA, NA, NA, N…
## $ AP4_8_3 <fct> 1, 2, 1, 1, 1, 2, 2, 2, 2, 2, 1, 2, 2, 1, 2, 1, 1, 2,…
## $ AP4_9_3 <fct> 2, NA, 2, 2, 2, NA, NA, NA, NA, NA, 2, NA, NA, 1, NA,…
## $ AP4_8_4 <fct> 2, 2, 2, 2, 1, 2, 2, 2, 2, 1, 2, 1, 2, 1, 1, 1, 1, 1,…
## $ AP4_9_4 <fct> NA, NA, NA, NA, 1, NA, NA, NA, NA, 2, NA, 2, NA, 2, 2…
## $ AP4_8_5 <fct> 2, 2, 2, 1, 1, 1, 1, 2, 2, 1, 1, 1, 2, 1, 1, 1, 2, 2,…
## $ AP4_9_5 <fct> NA, NA, NA, 2, 1, 2, 2, NA, NA, 2, 2, 2, NA, 2, 2, 9,…
## $ AP4_8_6 <fct> 2, 3, 1, 3, 3, 1, 3, 2, 2, 3, 1, 2, 3, 2, 1, 1, 2, 3,…
## $ AP4_9_6 <fct> NA, NA, 2, NA, NA, 2, NA, NA, NA, NA, 2, NA, NA, NA, …
## $ AP4_10_01 <fct> 2, 1, 2, 2, 1, 1, 2, 3, 2, 2, 2, 2, 1, 1, 1, 1, 2, 1,…
## $ AP4_10_02 <fct> 3, 3, 3, 3, 1, 1, 2, 3, 3, 3, 1, 1, 3, 3, 3, 1, 1, 3,…
## $ AP4_10_03 <fct> 2, 1, 2, 2, 1, 1, 2, 3, 2, 2, 2, 2, 1, 2, 2, 1, 2, 1,…
## $ AP4_10_04 <fct> 2, 2, 3, 2, 3, 2, 2, 3, 2, 2, 2, 2, 3, 2, 2, 2, 2, 1,…
## $ AP4_10_05 <fct> 2, 2, 3, 2, 3, 2, 2, 3, 2, 2, 2, 2, 3, 2, 2, 2, 2, 1,…
## $ AP4_10_06 <fct> 2, 2, 1, 2, 1, 1, 2, 2, 3, 2, 2, 1, 1, 2, 1, 2, 2, 1,…
## $ AP4_10_07 <fct> 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,…
## $ AP4_10_08 <fct> 2, 3, 2, 3, 2, 3, 2, 2, 3, 2, 2, 2, 3, 3, 2, 3, 2, 2,…
## $ AP4_10_09 <fct> 2, 2, 2, 2, 2, 2, 2, 2, 3, 2, 2, 2, 2, 1, 1, 1, 2, 2,…
## $ AP4_10_10 <fct> 2, 3, 2, 2, 1, 3, 2, 3, 3, 2, 3, 1, 2, 2, 1, 1, 1, 3,…
## $ AP4_10_11 <fct> 2, 2, 2, 3, 2, 2, 2, 3, 3, 2, 2, 2, 2, 2, 2, 1, 2, 2,…
## $ AP4_10_12 <fct> 2, 3, 2, 2, 1, 1, 3, 3, 3, 3, 2, 3, 2, 3, 1, 2, 2, 2,…
## $ AP4_10_13 <fct> 3, 3, 3, 2, 3, 3, 3, 3, 3, 3, 2, 3, 3, 3, 3, 3, 2, 3,…
## $ AP4_10_14 <fct> 2, 3, 2, 2, 2, 1, 2, 2, 3, 2, 2, 2, 1, 2, 2, 3, 2, 1,…
## $ AP4_10_15 <fct> 2, 2, 2, 1, 1, 1, 2, 3, 3, 2, 2, 2, 1, 2, 1, 2, 2, 1,…
## $ AP4_11_01 <fct> 2, 2, 2, 1, 1, 1, 2, 2, 2, 1, 2, 1, 2, 2, 2, 2, 2, 1,…
## $ AP4_11_02 <fct> 2, 2, 2, 1, 1, 1, 2, 2, 2, 1, 2, 1, 2, 1, 1, 2, 2, 2,…
## $ AP4_11_03 <fct> 2, 2, 2, 2, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,…
## $ AP4_11_04 <fct> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,…
## $ AP4_11_05 <fct> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,…
## $ AP4_11_06 <fct> 1, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2,…
## $ AP4_11_07 <fct> 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2,…
## $ AP4_11_08 <fct> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2,…
## $ AP4_11_09 <fct> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,…
## $ AP4_11_10 <fct> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,…
## $ AP4_11_11 <fct> 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9,…
## $ AP4_12 <fct> 9999999, NA, NA, 0010000, 0010000, 0030000, NA, NA, N…
## $ AP5_1_01 <fct> 3, 1, 1, 2, 1, 1, 1, 1, 3, 3, 3, 1, 3, 3, 1, 3, 1, 2,…
## $ AP5_1_02 <fct> 3, 3, 3, 2, 3, 1, 3, 3, 3, 3, 3, 3, 3, 3, 1, 3, 1, 1,…
## $ AP5_1_03 <fct> 3, 2, 3, 2, 3, 3, 3, 2, 2, 3, 3, 3, 1, 3, 3, 2, 1, 3,…
## $ AP5_1_04 <fct> 3, 2, 3, 2, 3, 1, 3, 1, 2, 1, 3, 3, 1, 3, 3, 2, 1, 3,…
## $ AP5_1_05 <fct> 3, 2, 2, 2, 3, 1, 2, 1, 2, 3, 3, 3, 3, 3, 3, 3, 3, 1,…
## $ AP5_1_06 <fct> 3, 3, 3, 2, 3, 3, 3, 3, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3,…
## $ AP5_1_07 <fct> 3, 2, 3, 2, 3, 2, 3, 3, 2, 3, 3, 1, 3, 3, 3, 3, 3, 3,…
## $ AP5_1_08 <fct> 3, 2, 1, 1, 3, 1, 1, 1, 2, 3, 1, 3, 3, 3, 3, 3, 1, 1,…
## $ AP5_1_09 <fct> 3, 2, 3, 2, 1, 2, 3, 1, 2, 3, 3, 3, 3, 1, 3, 2, 1, 3,…
## $ AP5_1_10 <fct> 1, 2, 2, 1, 1, 3, 3, 3, 3, 3, 3, 1, 3, 3, 3, 3, 1, 3,…
## $ AP5_1_11 <fct> 2, 2, 1, 1, 3, 1, 1, 1, 2, 3, 1, 3, 3, 3, 3, 3, 1, 3,…
## $ AP5_1_12 <fct> 2, 2, 1, 1, 3, 1, 1, 1, 2, 3, 1, 3, 3, 3, 3, 3, 1, 3,…
## $ AP5_1_13 <fct> 3, 9, 9, 3, 9, 9, 3, 9, 9, 9, 9, 9, 3, 9, 9, 9, 9, 9,…
## $ AP5_2_1 <fct> 1, 3, 2, 1, 2, 3, 1, 1, 1, 1, 1, 3, 1, 1, 3, 1, 2, 3,…
## $ AP5_2_2 <fct> 5, 5, 2, 4, 5, 3, 5, 5, 5, 1, 5, 1, 1, 5, 3, 5, 1, 2,…
## $ AP5_2_3 <fct> 1, 3, 1, 1, 2, 1, 1, 1, 5, 1, 1, 1, 1, 1, 1, 1, 1, 1,…
## $ AP5_2_4 <fct> 1, 3, 1, 5, 2, 3, 5, 5, 5, 2, 1, 1, 1, 1, 1, 1, 1, 2,…
## $ AP5_3_01 <fct> 1, 2, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 1,…
## $ AP5_4_01 <fct> 2, NA, 3, 1, 4, 3, NA, 2, NA, 3, 2, 2, 3, 3, 4, NA, 2…
## $ AP5_4_01_C <fct> 2, NA, 3, 2, 1, 3, NA, 1, NA, 9, 2, 2, 9, 2, 2, NA, 3…
## $ AP5_5_01 <fct> 1, NA, 1, 2, 1, 1, NA, 2, NA, 1, 1, 1, 1, 1, 1, NA, 1…
## $ AP5_6_01 <fct> 3, NA, 4, 3, 1, 3, NA, 1, NA, 9, 2, 2, 4, 2, 2, NA, 2…
## $ AP5_7_1 <fct> 2, NA, 2, 1, 1, 2, NA, 1, NA, 2, 1, 1, 2, 2, 2, NA, 1…
## $ AP5_3_02 <fct> 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1,…
## $ AP5_4_02 <fct> 2, 4, 3, 2, 4, 3, NA, 2, 9, 4, 2, 2, NA, 4, 2, 4, 2, …
## $ AP5_4_02_C <fct> 3, 2, 2, 4, 4, 1, NA, 2, 3, 2, 3, 2, NA, 4, 1, 3, 4, …
## $ AP5_5_02 <fct> 1, 2, 1, 1, 1, 1, NA, 9, 1, 1, 1, 1, NA, 1, 1, 9, 1, …
## $ AP5_6_02 <fct> 2, 2, 3, 2, 4, 2, NA, 2, 3, 2, 2, 2, NA, 4, 2, 3, 2, …
## $ AP5_7_2 <fct> 1, 2, 2, 1, 1, 1, NA, 1, 9, 2, 1, 1, NA, 2, 2, 2, 2, …
## $ AP5_3_03 <fct> 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1,…
## $ AP5_4_03 <fct> 2, 4, 1, 3, 4, 3, NA, 2, 4, 4, 2, 3, NA, 2, 2, NA, 1,…
## $ AP5_4_03_C <fct> 2, 1, 3, 1, 9, 2, NA, 2, 9, 2, 2, 1, NA, 1, 3, NA, 1,…
## $ AP5_5_03 <fct> 1, 2, 2, 9, 1, 1, NA, 2, 9, 1, 1, 1, NA, 1, 2, NA, 2,…
## $ AP5_6_03 <fct> 2, 9, 1, 1, 1, 2, NA, 1, 9, 2, 2, 1, NA, 2, 2, NA, 1,…
## $ AP5_7_3 <fct> 1, 2, 1, 1, 1, 1, NA, 1, 9, 2, 1, 9, NA, 1, 2, NA, 1,…
## $ AP5_3_04 <fct> 1, 2, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1,…
## $ AP5_4_04 <fct> 2, NA, 3, NA, 1, 2, NA, 9, 9, 4, 2, 2, NA, 2, 2, NA, …
## $ AP5_4_04_C <fct> 2, NA, 4, NA, 1, 2, NA, 3, 9, 3, 2, 1, NA, 1, 1, NA, …
## $ AP5_5_04 <fct> 1, NA, 1, NA, 2, 1, NA, 9, 9, 1, 1, 2, NA, 1, 2, NA, …
## $ AP5_6_04 <fct> 2, NA, 3, NA, 1, 2, NA, 1, 9, 2, 2, 1, NA, 1, 2, NA, …
## $ AP5_7_4 <fct> 1, NA, 2, NA, 1, 1, NA, 1, 9, 2, 1, 9, NA, 1, 1, NA, …
## $ AP5_3_05 <fct> 2, 2, 2, 1, 1, 1, 2, 1, 2, 2, 2, 1, 2, 2, 1, 2, 2, 1,…
## $ AP5_4_05 <fct> NA, NA, NA, 1, 4, 3, NA, 2, NA, NA, NA, 2, NA, NA, 2,…
## $ AP5_4_05_C <fct> NA, NA, NA, 1, 2, 9, NA, 9, NA, NA, NA, 2, NA, NA, 2,…
## $ AP5_5_05 <fct> NA, NA, NA, 2, 1, 1, NA, 9, NA, NA, NA, 2, NA, NA, 2,…
## $ AP5_6_05 <fct> NA, NA, NA, 1, 4, 2, NA, 9, NA, NA, NA, 2, NA, NA, 2,…
## $ AP5_3_06 <fct> 1, 2, 1, 2, 1, 1, 2, 1, 2, 1, 1, 1, 2, 1, 1, 2, 1, 2,…
## $ AP5_4_06 <fct> 2, NA, 2, NA, 4, 3, NA, 9, NA, 4, 2, 3, NA, 4, 2, NA,…
## $ AP5_4_06_C <fct> 3, NA, 3, NA, 4, 4, NA, 9, NA, 3, 2, 3, NA, 2, 3, NA,…
## $ AP5_5_06 <fct> 1, NA, 1, NA, 1, 1, NA, 9, NA, 1, 1, 1, NA, 1, 2, NA,…
## $ AP5_6_06 <fct> 2, NA, 3, NA, 4, 3, NA, 9, NA, 2, 2, 3, NA, 2, 2, NA,…
## $ AP5_3_07 <fct> 2, 2, 1, 2, 1, 1, 2, 1, 2, 1, 1, 1, 2, 1, 1, 2, 1, 2,…
## $ AP5_4_07 <fct> NA, NA, 4, NA, 4, 3, NA, 9, NA, 9, 3, 2, NA, 2, 2, NA…
## $ AP5_4_07_C <fct> NA, NA, 3, NA, 2, 2, NA, 1, NA, 2, 3, 2, NA, 2, 1, NA…
## $ AP5_5_07 <fct> NA, NA, 1, NA, 1, 1, NA, 9, NA, 1, 1, 2, NA, 1, 2, NA…
## $ AP5_6_07 <fct> NA, NA, 3, NA, 4, 2, NA, 9, NA, 2, 2, 3, NA, 2, 2, NA…
## $ AP5_3_08 <fct> 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,…
## $ AP5_4_08 <fct> 1, 2, 4, 1, 1, 4, NA, 1, 2, 2, 1, 1, 1, 1, 2, 9, 1, 2…
## $ AP5_4_08_C <fct> 1, 1, 1, 1, 1, 1, NA, 1, 1, 1, 1, 1, 1, 2, 2, 9, 1, 3…
## $ AP5_5_08 <fct> 2, 2, 1, 2, 2, 1, NA, 2, 2, 2, 2, 2, 2, 1, 2, 1, 2, 2…
## $ AP5_6_08 <fct> 2, 1, 1, 1, 1, 1, NA, 1, 2, 1, 1, 1, 1, 2, 2, 9, 1, 1…
## $ AP5_3_09 <fct> 1, 2, 1, 1, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 1, 2, 1, 1,…
## $ AP5_4_09 <fct> 1, NA, 4, 1, 1, NA, NA, NA, NA, NA, NA, 1, NA, NA, 2,…
## $ AP5_4_09_C <fct> 2, NA, 3, 1, 1, NA, NA, NA, NA, NA, NA, 1, NA, NA, 2,…
## $ AP5_5_09 <fct> 1, NA, 1, 2, 2, NA, NA, NA, NA, NA, NA, 2, NA, NA, 2,…
## $ AP5_6_09 <fct> 2, NA, 3, 1, 1, NA, NA, NA, NA, NA, NA, 1, NA, NA, 2,…
## $ AP5_3_10 <fct> 2, 2, 1, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2,…
## $ AP5_4_10 <fct> NA, NA, 2, NA, NA, 3, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ AP5_4_10_C <fct> NA, NA, 2, NA, NA, 3, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ AP5_5_10 <fct> NA, NA, 2, NA, NA, 1, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ AP5_6_10 <fct> NA, NA, 2, NA, NA, 2, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ AP5_8 <fct> 3, 9, 3, 4, 4, 3, 3, 9, 4, 4, 1, 3, 4, 4, 3, 4, 2, 3,…
## $ FAC_HOG <fct> 000226, 000226, 000226, 000226, 000215, 000215, 00021…
## $ FAC_ELE <fct> 000903, 000226, 000452, 000677, 000215, 000429, 00042…
## $ FAC_HOG_AM <fct> 000226, 000226, 000226, 000226, 000215, 000215, 00021…
## $ FAC_ELE_AM <fct> 000903, 000226, 000452, 000677, 000215, 000429, 00042…
## $ DOMINIO <fct> U, U, U, U, U, U, U, U, U, U, U, U, U, U, U, U, U, U,…
## $ ESTRATO <fct> 4, 4, 4, 4, 3, 3, 3, 3, 3, 3, 3, 2, 2, 2, 2, 2, 2, 2,…
## $ EST_DIS <fct> 003, 003, 003, 003, 002, 002, 002, 002, 002, 002, 002…
## $ UPM_DIS <fct> 00001, 00001, 00001, 00001, 00002, 00002, 00002, 0000…Si queremos ver los niveles de una variable, tenemos que usar el formato basedatos$var. Esto nos llevará a la variable dentro del objeto que tenemos que es una base de datos. Esto nos permite tener varias bases de datos cargadas en un mismo ambiente.
levels(TPer_Vic118$SEXO)## [1] "1" "2"También podemos pedir una tabla de una variable.
table(TPer_Vic118$SEXO)##
## 1 2
## 42293 49248table(TPer_Vic118$EDAD)##
## 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32
## 1934 1735 1855 1703 1999 2008 2033 1985 1927 1941 2033 1868 2256 1738 2190
## 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47
## 2050 1988 2221 2005 2050 2215 1909 2360 1533 2152 1962 1590 1904 1532 1733
## 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62
## 1672 1456 1792 1128 1495 1307 1372 1345 1203 1205 1241 1070 1383 819 1002
## 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77
## 1002 886 1044 768 856 711 614 788 458 609 559 527 551 422 419
## 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92
## 448 284 374 202 271 227 184 204 149 136 124 79 74 56 43
## 93 94 95 96 97 98
## 22 22 16 25 29 459Para ver las dimensiones de cualquier objeto, en este caso nos dirá el número de observaciones y variables
dim(TPer_Vic118)## [1] 91541 186Si queremos saber el tipo o clase de un objeto (numeric, matrix, data frame, etc)
class(TPer_Vic118)## [1] "data.frame"summary(TPer_Vic118)## ID_VIV ID_HOG ID_PER
## 1901580.01: 6 0100008.01.01: 1 0100008.01.01.04: 1
## 0505918.18: 5 0100008.02.01: 1 0100008.02.01.01: 1
## 0915314.03: 5 0100008.04.01: 1 0100008.04.01.02: 1
## 1102577.01: 5 0100008.05.01: 1 0100008.05.01.01: 1
## 1103347.02: 5 0100022.02.01: 1 0100022.02.01.01: 1
## 1301492.19: 5 0100022.03.01: 1 0100022.03.01.02: 1
## (Other) :91510 (Other) :91535 (Other) :91535
## UPM VIV_SEL HOGAR RESUL_H R_SEL
## 0360082: 33 01 :11765 01:89541 A:26572 01 :46496
## 0601331: 28 02 :11716 02: 1677 B:64969 02 :30776
## 2202410: 26 03 :11706 03: 269 03 : 9035
## 2107426: 25 05 :11668 04: 43 04 : 3420
## 0505918: 24 04 :11653 05: 10 05 : 1096
## 0601379: 24 09 : 2239 06: 1 06 : 431
## (Other):91381 (Other):30794 (Other): 287
## SEXO EDAD AREAM CVE_ENT
## 1:42293 40 : 2360 01 : 7371 09 : 5694
## 2:49248 30 : 2256 03 : 2147 16 : 3797
## 35 : 2221 06 : 1786 28 : 3752
## 38 : 2215 08 : 1534 25 : 3713
## 32 : 2190 02 : 1404 07 : 3652
## 42 : 2152 (Other):21217 21 : 3605
## (Other):78147 NA's :56082 (Other):67328
## NOM_ENT CVE_MUN NOM_MUN
## Ciudad de México : 5694 005 : 4347 Juárez : 2021
## Michoacán de Ocampo: 3797 001 : 4029 Benito Juárez : 1685
## Tamaulipas : 3752 007 : 3820 Mérida : 1359
## Sinaloa : 3713 002 : 3806 Aguascalientes: 1243
## Chiapas : 3652 004 : 3797 Tijuana : 1233
## Puebla : 3605 003 : 3081 Querétaro : 1230
## (Other) :67328 (Other):68661 (Other) :82770
## AP4_1 AP4_2_01 AP4_2_02 AP4_2_03 AP4_2_04 AP4_2_05 AP4_2_06
## 1: 3779 0:65262 0:60803 0:73900 0:57864 0:34649 0:86554
## 2: 3504 1:26279 1:30738 1:17641 1:33677 1:56892 1: 4987
## 3:84221
## 9: 37
##
##
##
## AP4_2_07 AP4_2_08 AP4_2_09 AP4_2_10 AP4_2_11 AP4_2_12 AP4_2_99
## 0:77994 0:65198 0:73734 0:67306 0:72409 0:91220 0:91190
## 1:13547 1:26343 1:17807 1:24235 1:19132 1: 321 1: 351
##
##
##
##
##
## AP4_3_1 AP4_3_2 AP4_3_3 AP4_4_01 AP4_4_02 AP4_4_03 AP4_4_04
## 1:48686 1:28969 1:20744 1:68843 1:42269 1:30342 1: 5183
## 2:42555 2:61481 2:69010 2:22620 2:19540 2:60101 2: 2877
## 9: 300 9: 1091 9: 1787 3: 17 3:29654 3: 1004 3:83360
## 9: 61 9: 78 9: 94 9: 121
##
##
##
## AP4_4_05 AP4_4_06 AP4_4_07 AP4_4_08 AP4_4_09 AP4_4_10 AP4_4_11
## 1:32079 1:38578 1:20734 1:13037 1:25594 1:39297 1:30670
## 2:45791 2:38338 2:47399 2:51929 2:47699 2:32628 2:53800
## 3:13530 3:14484 3:23315 3:26475 3:18144 3:19491 3: 6881
## 9: 141 9: 141 9: 93 9: 100 9: 104 9: 125 9: 190
##
##
##
## AP4_4_12 AP4_5_01 AP4_5_02 AP4_5_03 AP4_5_04 AP4_5_05 AP4_5_06
## 1:32725 0:33005 0:63929 0:71855 0:73462 0:73656 0:77448
## 2:38349 1:58536 1:27612 1:19686 1:18079 1:17885 1:14093
## 3:20254
## 9: 213
##
##
##
## AP4_5_07 AP4_5_08 AP4_5_09 AP4_5_10 AP4_5_11 AP4_5_12 AP4_5_13
## 0:79175 0:47726 0:48549 0:62217 0:67800 0:83626 0:80317
## 1:12366 1:43815 1:42992 1:29324 1:23741 1: 7915 1:11224
##
##
##
##
##
## AP4_5_14 AP4_5_15 AP4_5_16 AP4_5_99 AP4_6_1 AP4_6_2 AP4_6_3
## 0:71213 0:78893 0:80158 0:91166 1:64463 1:51108 1:41658
## 1:20328 1:12648 1:11383 1: 375 2:25483 2:38907 2:47949
## 3: 470 3: 385 3: 492
## 9: 1125 9: 1141 9: 1442
##
##
##
## AP4_7_1 AP4_7_2 AP4_7_3 AP4_8_1 AP4_9_1 AP4_8_2
## 1:19365 1:18011 1:15089 1:44887 1 :19582 1:36998
## 2:17401 2: 8675 2: 4666 2:46363 2 :24447 2:54097
## 3:28752 3:31610 3:29344 3: 118 9 : 858 3: 343
## 4:23633 4:29801 4:38527 9: 173 NA's:46654 9: 103
## 9: 2390 9: 3444 9: 3915
##
##
## AP4_9_2 AP4_8_3 AP4_9_3 AP4_8_4 AP4_9_4 AP4_8_5
## 1 :16301 1:42813 1 :16218 1:19781 1 : 5213 1:49937
## 2 :20201 2:47936 2 :25681 2:71078 2 :14192 2:41015
## 9 : 496 3: 552 9 : 914 3: 62 9 : 376 3: 28
## NA's:54543 9: 240 NA's:48728 9: 620 NA's:71760 9: 561
##
##
##
## AP4_9_5 AP4_8_6 AP4_9_6 AP4_10_01 AP4_10_02 AP4_10_03
## 1 :16051 1:23717 1 : 8320 1:42247 1:34809 1:27553
## 2 :32921 2:56564 2 :14124 2:42529 2:16309 2:60835
## 9 : 965 3: 2992 9 : 1273 3: 6728 3:40299 3: 3125
## NA's:41604 9: 8268 NA's:67824 9: 37 9: 124 9: 28
##
##
##
## AP4_10_04 AP4_10_05 AP4_10_06 AP4_10_07 AP4_10_08 AP4_10_09 AP4_10_10
## 1:19857 1:12955 1:40727 1: 428 1:10930 1:24783 1:28431
## 2:44959 2:60029 2:47930 2: 8736 2:33996 2:53025 2:22613
## 3:26626 3:18475 3: 2849 3:82308 3:46532 3:13702 3:40420
## 9: 99 9: 82 9: 35 9: 69 9: 83 9: 31 9: 77
##
##
##
## AP4_10_11 AP4_10_12 AP4_10_13 AP4_10_14 AP4_10_15 AP4_11_01 AP4_11_02
## 1:18700 1:18158 1: 5787 1:11442 1:16110 1:21499 1:26070
## 2:57269 2:36856 2:21798 2:62336 2:63404 2:69833 2:65256
## 3:15548 3:36476 3:63894 3:17727 3:11980 9: 209 9: 215
## 9: 24 9: 51 9: 62 9: 36 9: 47
##
##
##
## AP4_11_03 AP4_11_04 AP4_11_05 AP4_11_06 AP4_11_07 AP4_11_08 AP4_11_09
## 1:14761 1: 3717 1: 2127 1:11139 1: 1477 1: 4412 1: 674
## 2:76558 2:87555 2:89032 2:79941 2:89743 2:86862 2:90682
## 9: 222 9: 269 9: 382 9: 461 9: 321 9: 267 9: 185
##
##
##
##
## AP4_11_10 AP4_11_11 AP4_12 AP5_1_01 AP5_1_02 AP5_1_03
## 1: 835 1: 111 9999999: 3623 1:41763 1:46693 1:16910
## 2:89948 2:56033 0000000: 3054 2:20052 2:12812 2:27820
## 9: 758 9:35397 0005000: 2453 3:29541 3:31881 3:46447
## 0002000: 2199 9: 185 9: 155 9: 364
## 0003000: 2112
## (Other):25002
## NA's :53098
## AP5_1_04 AP5_1_05 AP5_1_06 AP5_1_07 AP5_1_08 AP5_1_09 AP5_1_10
## 1:19322 1:16533 1: 5487 1: 8678 1:27454 1:20239 1:38424
## 2:27521 2:31459 2:23152 2:21809 2:21289 2:28807 2:11904
## 3:44350 3:43136 3:62719 3:60873 3:42613 3:42267 3:41048
## 9: 348 9: 413 9: 183 9: 181 9: 185 9: 228 9: 165
##
##
##
## AP5_1_11 AP5_1_12 AP5_1_13 AP5_2_1 AP5_2_2 AP5_2_3 AP5_2_4
## 1: 9811 1:11447 1: 53 1:37896 1:28222 1:73799 1:44068
## 2:32661 2:31677 2:21522 2:23238 2:15281 2: 9356 2:18975
## 3:48795 3:48113 3:22986 3:21419 3:12268 3: 6508 3:17120
## 9: 274 9: 304 9:46980 4: 8343 4: 3542 4: 1387 4: 5661
## 5: 364 5:31976 5: 427 5: 5569
## 9: 281 9: 252 9: 64 9: 148
##
## AP5_3_01 AP5_4_01 AP5_4_01_C AP5_5_01 AP5_6_01
## 1:60063 1 : 3733 1 : 5281 1 :45197 1 : 3456
## 2:28873 2 :23337 2 :15942 2 :11404 2 :22011
## 3: 2304 3 :17860 3 :24690 9 : 3462 3 :23828
## 9: 301 4 :14443 4 :13622 NA's:31478 4 :10040
## 9 : 690 9 : 528 9 : 728
## NA's:31478 NA's:31478 NA's:31478
##
## AP5_7_1 AP5_3_02 AP5_4_02 AP5_4_02_C AP5_5_02
## 1 :28091 1:58548 1 : 4208 1 : 5555 1 :39196
## 2 :29349 2:26924 2 :25777 2 :16883 2 :14933
## 9 : 2623 3: 5694 3 :15911 3 :24204 9 : 4419
## NA's:31478 9: 375 4 :12158 4 :11487 NA's:32993
## 9 : 494 9 : 419
## NA's:32993 NA's:32993
##
## AP5_6_02 AP5_7_2 AP5_3_03 AP5_4_03 AP5_4_03_C
## 1 : 3674 1 :34581 1:59884 1 : 5451 1 : 7658
## 2 :23039 2 :22131 2:31503 2 :28498 2 :19706
## 3 :21953 9 : 1836 9: 154 3 :14561 3 :22382
## 4 : 9115 NA's:32993 4 :10503 4 : 9363
## 9 : 767 9 : 871 9 : 775
## NA's:32993 NA's:31657 NA's:31657
##
## AP5_5_03 AP5_6_03 AP5_7_3 AP5_3_04 AP5_4_04
## 1 :38090 1 : 5289 1 :38438 1:56739 1 : 9202
## 2 :17143 2 :26569 2 :19122 2:34649 2 :28547
## 9 : 4651 3 :19391 9 : 2324 9: 153 3 :10754
## NA's:31657 4 : 7568 NA's:31657 4 : 7269
## 9 : 1067 9 : 967
## NA's:31657 NA's:34802
##
## AP5_4_04_C AP5_5_04 AP5_6_04 AP5_7_4 AP5_3_05
## 1 :12104 1 :32376 1 : 9005 1 :39949 1:33623
## 2 :20349 2 :20232 2 :27404 2 :14422 2:57740
## 3 :16620 9 : 4131 3 :14117 9 : 2368 9: 178
## 4 : 6668 NA's:34802 4 : 5172 NA's:34802
## 9 : 998 9 : 1041
## NA's:34802 NA's:34802
##
## AP5_4_05 AP5_4_05_C AP5_5_05 AP5_6_05 AP5_3_06
## 1 : 3847 1 : 4677 1 :21256 1 : 3741 1:32672
## 2 :14557 2 :10266 2 :10053 2 :14340 2:58697
## 3 : 7600 3 :11358 9 : 2314 3 : 9864 9: 172
## 4 : 6983 4 : 6689 NA's:57918 4 : 4962
## 9 : 636 9 : 633 9 : 716
## NA's:57918 NA's:57918 NA's:57918
##
## AP5_4_06 AP5_4_06_C AP5_5_06 AP5_6_06 AP5_3_07
## 1 : 3417 1 : 4322 1 :20819 1 : 3241 1:29955
## 2 :14954 2 :10313 2 : 9709 2 :13864 2:61400
## 3 : 7540 3 :11517 9 : 2144 3 : 9974 9: 186
## 4 : 6138 4 : 5877 NA's:58869 4 : 4963
## 9 : 623 9 : 643 9 : 630
## NA's:58869 NA's:58869 NA's:58869
##
## AP5_4_07 AP5_4_07_C AP5_5_07 AP5_6_07 AP5_3_08
## 1 : 3484 1 : 4920 1 :18363 1 : 3417 1:77784
## 2 :14365 2 :10166 2 : 9321 2 :13488 2:13648
## 3 : 6378 3 : 9646 9 : 2271 3 : 8539 9: 109
## 4 : 4943 4 : 4464 NA's:61586 4 : 3810
## 9 : 785 9 : 759 9 : 701
## NA's:61586 NA's:61586 NA's:61586
##
## AP5_4_08 AP5_4_08_C AP5_5_08 AP5_6_08 AP5_3_09
## 1 :32110 1 :37927 1 :21201 1 :32659 1:58716
## 2 :33495 2 :23239 2 :50439 2 :32548 2:32685
## 3 : 6941 3 :11611 9 : 6144 3 : 8656 9: 140
## 4 : 4117 4 : 3940 NA's:13757 4 : 2571
## 9 : 1121 9 : 1067 9 : 1350
## NA's:13757 NA's:13757 NA's:13757
##
## AP5_4_09 AP5_4_09_C AP5_5_09 AP5_6_09 AP5_3_10
## 1 :28393 1 :31841 1 :12447 1 :28361 1:20024
## 2 :23443 2 :16652 2 :41920 2 :22408 2:71301
## 3 : 3439 3 : 6750 9 : 4349 3 : 5091 9: 216
## 4 : 2034 4 : 1864 NA's:32825 4 : 1526
## 9 : 1407 9 : 1609 9 : 1330
## NA's:32825 NA's:32825 NA's:32825
##
## AP5_4_10 AP5_4_10_C AP5_5_10 AP5_6_10 AP5_8
## 1 : 2733 1 : 3231 1 :13013 1 : 2660 1: 4367
## 2 : 8845 2 : 6509 2 : 5862 2 : 8857 2:14109
## 3 : 4411 3 : 6611 9 : 1149 3 : 5475 3:25236
## 4 : 3570 4 : 3238 NA's:71517 4 : 2615 4:39383
## 9 : 465 9 : 435 9 : 417 5: 379
## NA's:71517 NA's:71517 NA's:71517 9: 8067
##
## FAC_HOG FAC_ELE FAC_HOG_AM FAC_ELE_AM DOMINIO
## 000204 : 450 000378 : 179 000200 : 174 000352 : 68 C:23005
## 000189 : 436 000463 : 170 000212 : 170 000407 : 68 R:21038
## 000212 : 434 000383 : 168 000494 : 170 000376 : 65 U:47498
## 000195 : 423 000376 : 160 000204 : 169 000400 : 64
## 000211 : 414 000407 : 157 000196 : 165 000417 : 64
## 000196 : 389 000392 : 155 (Other):34611 (Other):35130
## (Other):88995 (Other):90552 NA's :56082 NA's :56082
## ESTRATO EST_DIS UPM_DIS
## 1:17146 148 : 2550 01096 : 33
## 2:46918 147 : 2043 02357 : 28
## 3:19473 123 : 1573 09243 : 26
## 4: 8004 352 : 1299 08861 : 25
## 566 : 1098 01874 : 24
## 210 : 1008 02368 : 24
## (Other):81970 (Other):91381