Taller 2020 MSP3010 https://rpubs.com/alvaropassi/Taller2020_MSP3010
24/09/2020
Encuesta Nacional de Salud, Chile 2003-2010-2017
Bases de datos
http://epi.minsal.cl/condiciones-de-uso/ http://epi.minsal.cl/bases-de-datos/
Bases de datos formato dta
En la web http://epi.minsal.cl/bases-de-datos/ ENS2017 está en formato sav
Por algún motivo solo permite abrir en SPSS y no permite exportar a dta, csv…
Puedes acceder a la base ENS2017 en formato dta en la web del curso
Cuestionarios y Manuales
Requerimientos
R y RStudio instalados
Ideal si tienes cuenta en Rpubs
Paquetes/librerias R requeridos para el taller
- library(dplyr) #dplyr: a grammar of data manipulation#
- library(rio) #To import and export data#
- library(survey) #to use survey design
- library(srvyr) #survey design with grammar
Instalar/Abrir librerias
# install.packages("rio")
Puedes activar el código borrando el # antes del texto
Puedes cambiar el “nombre del paquete” a instalar
Comillas son importantes
library(rio) #To import and export data# library(reshape2) #Modifiy data set shape design with grammar library(dplyr) #dplyr: a grammar of data manipulation#
## ## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats': ## ## filter, lag
## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union
library(ggplot2) #plot your results library(survey) #Analise using survey design
## Loading required package: grid
## Loading required package: Matrix
## Loading required package: survival
## ## Attaching package: 'survey'
## The following object is masked from 'package:graphics': ## ## dotchart
library(srvyr) #Analise using survey design with grammar
## ## Attaching package: 'srvyr'
## The following object is masked from 'package:stats': ## ## filter
library(survey)
https://cran.r-project.org/web/packages/survey/survey.pdf
• Describing survey designs: svydesign()
• Replicate weights: svrepdesign(), as.svrepdesign
• Summary statistics: mean, total, quantiles, design effect
• Tables of summary statistics, domain estimation.
• Graphics: histograms, hexbin scatterplots, smoothers.
• Regression modelling: svyglm()
• Calibration of weights: postStratify(), calibrate()
Importar base de datos
# getwd()
# Dejar todos los archivos en la misma carpeta de trabajo
df0<- import('F1_F2_EX_V9_20AUG18AP5.dta')
df0<- rio::import('F1_F2_EX_V9_20AUG18AP5.dta')
# names(df0)
# namesdf0<-names(df0)
rio:: lo utilizas cuando no has cargado la librería “rio” o para asegurar que usas la función “import” del paquete “rio” y no de “otro paquete”.
# View(namesdf0) summary(df0)
## IdEncuesta FechaInicioF1 Region Zona ## Min. :20006 Min. :2016-08-04 Min. : 1.000 Min. :1.000 ## 1st Qu.:22684 1st Qu.:2016-10-14 1st Qu.: 5.000 1st Qu.:1.000 ## Median :25698 Median :2016-11-06 Median : 7.000 Median :1.000 ## Mean :25764 Mean :2016-11-07 Mean : 7.851 Mean :1.159 ## 3rd Qu.:28501 3rd Qu.:2016-11-28 3rd Qu.:11.000 3rd Qu.:1.000 ## Max. :70000 Max. :2017-02-23 Max. :15.000 Max. :2.000 ## ## IdSegmento IdPersona_1 Ident7 Edad ## Min. : 1101101 Min. : 1.0 Min. :1918-11-26 Min. :15.00 ## 1st Qu.: 5109123 1st Qu.: 40.0 1st Qu.:1952-04-23 1st Qu.:33.00 ## Median : 8301107 Median : 82.0 Median :1966-10-30 Median :50.00 ## Mean : 8503764 Mean :106.6 Mean :1967-06-20 Mean :48.91 ## 3rd Qu.:13101108 3rd Qu.:146.0 3rd Qu.:1983-07-25 3rd Qu.:64.00 ## Max. :15101204 Max. :590.0 Max. :2002-01-19 Max. :98.00 ## ## Edad_Codificada Sexo c1 c1_esp ## Min. :1.000 Min. :1.000 Min. :1.000 Length:6233 ## 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:1.000 Class :character ## Median :3.000 Median :2.000 Median :1.000 Mode :character ## Mean :2.684 Mean :1.629 Mean :1.024 ## 3rd Qu.:3.000 3rd Qu.:2.000 3rd Qu.:1.000 ## Max. :4.000 Max. :2.000 Max. :2.000 ## ## c2 c2a c2b c3 ## Min. : 6.0 Min. : 0.00 Min. : 0.000 Min. : 0.0 ## 1st Qu.: 48.0 1st Qu.: 4.00 1st Qu.: 0.000 1st Qu.: 264.0 ## Median : 96.0 Median : 8.00 Median : 0.000 Median : 480.0 ## Mean :133.4 Mean :10.94 Mean : 2.126 Mean : 479.1 ## 3rd Qu.:180.0 3rd Qu.:15.00 3rd Qu.: 4.000 3rd Qu.: 683.0 ## Max. :732.0 Max. :61.00 Max. :11.000 Max. :1176.0 ## NA's :6082 NA's :6082 NA's :6082 ## c3a c3b c3c c5 ## Min. : 0.0 Min. : 0.000 Min. :0.0000 Min. : 1.000 ## 1st Qu.:22.0 1st Qu.: 0.000 1st Qu.:0.0000 1st Qu.: 1.000 ## Median :40.0 Median : 0.000 Median :0.0000 Median : 1.000 ## Mean :39.8 Mean : 1.569 Mean :0.3215 Mean : 1.013 ## 3rd Qu.:56.0 3rd Qu.: 1.000 3rd Qu.:0.0000 3rd Qu.: 1.000 ## Max. :98.0 Max. :11.000 Max. :3.0000 Max. :10.000 ## ## c5_otro c5b c6 c7_0_nino ## Length:6233 Min. :1 Min. : 1.000 Min. :1 ## Class :character 1st Qu.:1 1st Qu.:10.000 1st Qu.:1 ## Mode :character Median :1 Median :10.000 Median :1 ## Mean :1 Mean : 9.268 Mean :1 ## 3rd Qu.:1 3rd Qu.:10.000 3rd Qu.:1 ## Max. :1 Max. :10.000 Max. :1 ## NA's :6216 NA's :5115 ## c7_1_nino c7_1_cuidador c7_2_nino c7_2_cuidador ## Min. : 2.00 Min. : 1.0 Min. : 6.00 Min. : 4.0 ## 1st Qu.: 41.25 1st Qu.: 39.0 1st Qu.: 49.75 1st Qu.: 45.5 ## Median : 81.00 Median : 79.0 Median : 82.00 Median : 79.0 ## Mean :106.04 Mean :104.0 Mean :115.73 Mean :112.7 ## 3rd Qu.:144.75 3rd Qu.:142.8 3rd Qu.:157.75 3rd Qu.:155.5 ## Max. :554.00 Max. :552.0 Max. :485.00 Max. :479.0 ## NA's :5115 NA's :5115 NA's :6073 NA's :6073 ## c7_3_nino c7_3_cuidador c7_4_nino c7_4_cuidador ## Min. : 10.00 Min. : 6.00 Min. : 11.0 Min. : 7.00 ## 1st Qu.: 38.75 1st Qu.: 34.25 1st Qu.: 76.5 1st Qu.: 71.75 ## Median :160.50 Median :156.00 Median :142.0 Median :136.50 ## Mean :146.20 Mean :141.50 Mean :142.0 Mean :136.50 ## 3rd Qu.:211.25 3rd Qu.:205.75 3rd Qu.:207.5 3rd Qu.:201.25 ## Max. :350.00 Max. :344.00 Max. :273.0 Max. :266.00 ## NA's :6223 NA's :6223 NA's :6231 NA's :6231 ## c7_5_nino c7_5_cuidador e1 e2a ## Min. :274 Min. :266 Min. :-9999.000 Min. :-9999 ## 1st Qu.:274 1st Qu.:266 1st Qu.: 2.000 1st Qu.: 6 ## Median :274 Median :266 Median : 2.000 Median : 14 ## Mean :274 Mean :266 Mean : -2.409 Mean : -501 ## 3rd Qu.:274 3rd Qu.:266 3rd Qu.: 3.000 3rd Qu.: 22 ## Max. :274 Max. :266 Max. : 5.000 Max. : 31 ## NA's :6232 NA's :6232 NA's :4202 NA's :4202 ## e2b e2c e2d e3_1 ## Min. :-9999.0 Min. :-9999 Min. :-9999.0 Min. :1.000 ## 1st Qu.: 10.0 1st Qu.: 2016 1st Qu.: 2.0 1st Qu.:1.000 ## Median : 10.0 Median : 2016 Median : 4.0 Median :1.000 ## Mean : -195.3 Mean : 1608 Mean : -171.2 Mean :1.026 ## 3rd Qu.: 11.0 3rd Qu.: 2016 3rd Qu.: 5.0 3rd Qu.:1.000 ## Max. : 12.0 Max. : 2017 Max. : 7.0 Max. :2.000 ## NA's :4202 NA's :4202 NA's :4202 NA's :4202 ## e3_2 e3_3 e4_1 e4_2 ## Min. :1.000 Min. :1.000 Min. :-9999.0 Min. :-9999.0 ## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.: 5.0 1st Qu.: 4.0 ## Median :1.000 Median :1.000 Median : 9.0 Median : 7.0 ## Mean :1.036 Mean :1.043 Mean : -240.3 Mean : -263.4 ## 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.: 9.0 3rd Qu.: 7.0 ## Max. :2.000 Max. :2.000 Max. : 10.0 Max. : 10.0 ## NA's :4202 NA's :4202 NA's :4202 NA's :4202 ## e4_3 e4_4 e4_5 e5_1 ## Min. :-9999.0 Min. :-9999 Min. :-9999 Min. :1.00 ## 1st Qu.: 5.0 1st Qu.: 3 1st Qu.: 1 1st Qu.:1.00 ## Median : 5.0 Median : 3 Median : 1 Median :1.00 ## Mean : -337.3 Mean : -572 Mean :-1088 Mean :1.05 ## 3rd Qu.: 5.0 3rd Qu.: 4 3rd Qu.: 3 3rd Qu.:1.00 ## Max. : 11.0 Max. : 12 Max. : 11 Max. :2.00 ## NA's :4202 NA's :4202 NA's :4202 NA's :4202 ## e5_2 e5_3 e6_1 e6_2 e6_3 ## Min. :1.000 Min. :1.00 Min. :1.000 Min. :1.000 Min. :1.000 ## 1st Qu.:1.000 1st Qu.:1.00 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 ## Median :1.000 Median :1.00 Median :1.000 Median :1.000 Median :1.000 ## Mean :1.036 Mean :1.05 Mean :1.138 Mean :1.212 Mean :1.275 ## 3rd Qu.:1.000 3rd Qu.:1.00 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:2.000 ## Max. :2.000 Max. :2.00 Max. :2.000 Max. :2.000 Max. :2.000 ## NA's :4202 NA's :4202 NA's :4202 NA's :4202 NA's :4202 ## e7 t9 t9_2 t10a ## Min. :1.000 Min. :1.000 Min. :14.00 Min. :0.000 ## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:45.00 1st Qu.:0.000 ## Median :1.000 Median :1.000 Median :54.50 Median :0.000 ## Mean :1.075 Mean :1.597 Mean :54.01 Mean :0.991 ## 3rd Qu.:1.000 3rd Qu.:3.000 3rd Qu.:65.00 3rd Qu.:2.000 ## Max. :2.000 Max. :3.000 Max. :85.00 Max. :3.000 ## NA's :4202 NA's :5928 NA's :6021 NA's :6021 ## t10b t10c t10d t10e t10f ## Min. :0.000 Min. :0.00 Min. :0.000 Min. :0.000 Min. :0.000 ## 1st Qu.:0.000 1st Qu.:0.00 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 ## Median :1.000 Median :0.00 Median :1.000 Median :0.000 Median :0.000 ## Mean :1.354 Mean :0.91 Mean :1.302 Mean :1.024 Mean :0.958 ## 3rd Qu.:3.000 3rd Qu.:2.00 3rd Qu.:3.000 3rd Qu.:2.000 3rd Qu.:2.000 ## Max. :3.000 Max. :3.00 Max. :3.000 Max. :3.000 Max. :3.000 ## NA's :6021 NA's :6021 NA's :6021 NA's :6021 NA's :6021 ## t10g t10h t10i t10j ## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000 ## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 ## Median :1.000 Median :1.000 Median :0.000 Median :0.000 ## Mean :1.302 Mean :1.335 Mean :1.028 Mean :0.476 ## 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:2.000 3rd Qu.:1.000 ## Max. :3.000 Max. :3.000 Max. :3.000 Max. :3.000 ## NA's :6021 NA's :6021 NA's :6021 NA's :6021 ## t10k cd1 cd2 cd3 cd4 ## Min. :0.000 Min. :1.000 Min. :1.0 Min. :1.000 Min. :1.000 ## 1st Qu.:0.000 1st Qu.:5.000 1st Qu.:2.0 1st Qu.:1.000 1st Qu.:1.000 ## Median :0.000 Median :6.000 Median :2.0 Median :1.000 Median :1.000 ## Mean :0.656 Mean :5.631 Mean :2.5 Mean :1.238 Mean :1.057 ## 3rd Qu.:1.000 3rd Qu.:6.000 3rd Qu.:3.0 3rd Qu.:1.000 3rd Qu.:1.000 ## Max. :3.000 Max. :7.000 Max. :5.0 Max. :3.000 Max. :3.000 ## NA's :6021 ## cd5 cd6 cd7 cd8 ## Min. :1.000 Min. :1.000 Min. :1.000 Min. : 0.0 ## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.: 40.0 ## Median :1.000 Median :2.000 Median :1.000 Median : 70.0 ## Mean :1.143 Mean :1.645 Mean :1.351 Mean : 59.1 ## 3rd Qu.:1.000 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.: 85.0 ## Max. :3.000 Max. :3.000 Max. :3.000 Max. :100.0 ## ## cd8_corr cd9a_1 cd9a_2 cd9a_3 ## Min. : 0.00 Min. :-9999.000 Min. :1.000 Min. :-9999.00 ## 1st Qu.: 50.00 1st Qu.: 1.000 1st Qu.:1.000 1st Qu.: 1.00 ## Median : 70.00 Median : 2.000 Median :1.000 Median : 1.00 ## Mean : 64.78 Mean : -0.871 Mean :1.289 Mean : -1.53 ## 3rd Qu.: 90.00 3rd Qu.: 3.000 3rd Qu.:1.000 3rd Qu.: 2.00 ## Max. :100.00 Max. : 5.000 Max. :5.000 Max. : 5.00 ## NA's :8 ## cd9a_4 cd9a_5 cd9a_6 cd9a_7 ## Min. :-9999.000 Min. :-9999.000 Min. :-9999.0 Min. :-9999.000 ## 1st Qu.: 1.000 1st Qu.: 1.000 1st Qu.: 1.0 1st Qu.: 1.000 ## Median : 1.000 Median : 1.000 Median : 1.0 Median : 1.000 ## Mean : -1.584 Mean : -0.484 Mean : -0.5 Mean : -0.532 ## 3rd Qu.: 2.000 3rd Qu.: 1.000 3rd Qu.: 1.0 3rd Qu.: 1.000 ## Max. : 5.000 Max. : 5.000 Max. : 5.0 Max. : 5.000 ## ## cd9a_8 cd9a_9 cd9a_10 cd9a_11 ## Min. :-9999.000 Min. :1.000 Min. :-9999.000 Min. :-9999.000 ## 1st Qu.: 1.000 1st Qu.:1.000 1st Qu.: 1.000 1st Qu.: 1.000 ## Median : 1.000 Median :1.000 Median : 1.000 Median : 1.000 ## Mean : -0.537 Mean :1.163 Mean : -3.422 Mean : -3.403 ## 3rd Qu.: 1.000 3rd Qu.:1.000 3rd Qu.: 1.000 3rd Qu.: 1.000 ## Max. : 5.000 Max. :5.000 Max. : 5.000 Max. : 5.000 ## ## cd9a_12 cd9a_13 cd9a_14 cd9a_15 ## Min. :-9999.000 Min. :-8888.000 Min. :1.00 Min. :-9999.000 ## 1st Qu.: 1.000 1st Qu.: 1.000 1st Qu.:1.00 1st Qu.: 1.000 ## Median : 1.000 Median : 1.000 Median :1.00 Median : 1.000 ## Mean : -1.837 Mean : 0.143 Mean :1.23 Mean : -1.816 ## 3rd Qu.: 1.000 3rd Qu.: 2.000 3rd Qu.:1.00 3rd Qu.: 1.000 ## Max. : 5.000 Max. : 5.000 Max. :5.00 Max. : 5.000 ## ## cd9a_16 cd9a_17 cd9a_18 cd9a_19 ## Min. :-9999.00 Min. :-9999.00 Min. :-9999.00 Min. :-9999.00 ## 1st Qu.: 1.00 1st Qu.: 1.00 1st Qu.: 1.00 1st Qu.: 1.00 ## Median : 1.00 Median : 1.00 Median : 1.00 Median : 1.00 ## Mean : -32.47 Mean : -96.69 Mean : -7.61 Mean : -15.02 ## 3rd Qu.: 1.00 3rd Qu.: 1.00 3rd Qu.: 2.00 3rd Qu.: 2.00 ## Max. : 5.00 Max. : 5.00 Max. : 5.00 Max. : 5.00 ## ## cd9a_20 cd9a_21 cd9a_22 cd9a_23 ## Min. :-9999.000 Min. :-9999.00 Min. :-9999.000 Min. :-9999 ## 1st Qu.: 1.000 1st Qu.: 1.00 1st Qu.: 1.000 1st Qu.:-7777 ## Median : 1.000 Median : 1.00 Median : 2.000 Median : 1 ## Mean : -8.131 Mean : -14.13 Mean : -3.951 Mean :-2503 ## 3rd Qu.: 1.000 3rd Qu.: 1.00 3rd Qu.: 3.000 3rd Qu.: 1 ## Max. : 5.000 Max. : 5.00 Max. : 5.000 Max. : 5 ## ## cd9a_24 a1 a2 a3a ## Min. :-9999 Min. :1.000 Min. :-9999.0 Min. :-8888.00 ## 1st Qu.:-7777 1st Qu.:2.000 1st Qu.: 3.0 1st Qu.: 2.00 ## Median :-7777 Median :2.000 Median : 5.0 Median : 4.00 ## Mean :-5627 Mean :1.864 Mean : -213.8 Mean : -16.38 ## 3rd Qu.: 1 3rd Qu.:2.000 3rd Qu.: 6.0 3rd Qu.: 8.00 ## Max. : 5 Max. :2.000 Max. : 7.0 Max. : 20.00 ## NA's :5384 NA's :5384 ## a3b a4 a5 a6a ## Min. :-8888.000 Min. :1.000 Min. :-9999.00 Min. :-9999.00 ## 1st Qu.: 0.000 1st Qu.:1.000 1st Qu.: 4.00 1st Qu.: 1.00 ## Median : 0.000 Median :2.000 Median : 5.00 Median : 3.00 ## Mean : -6.435 Mean :1.734 Mean : -59.21 Mean : -8.02 ## 3rd Qu.: 0.000 3rd Qu.:2.000 3rd Qu.: 7.00 3rd Qu.: 6.00 ## Max. : 59.000 Max. :2.000 Max. : 7.00 Max. : 23.00 ## NA's :5384 NA's :4573 NA's :4573 ## a6b a7 a8 a9a ## Min. :-9999.000 Min. :1.000 Min. :-9999.00 Min. :-9999.00 ## 1st Qu.: 0.000 1st Qu.:1.000 1st Qu.: 5.00 1st Qu.: 0.00 ## Median : 0.000 Median :1.000 Median : 6.00 Median : 1.00 ## Mean : -7.942 Mean :1.359 Mean : -19.43 Mean : -30.46 ## 3rd Qu.: 0.000 3rd Qu.:2.000 3rd Qu.: 7.00 3rd Qu.: 2.00 ## Max. : 45.000 Max. :2.000 Max. : 7.00 Max. : 20.00 ## NA's :4573 NA's :2239 NA's :2239 ## a9b a10 a11 a12a ## Min. :-9999.00 Min. :0.0000 Min. : 0.0000 Min. :-9999.000 ## 1st Qu.: 0.00 1st Qu.:0.0000 1st Qu.: 0.0000 1st Qu.: 1.000 ## Median : 10.00 Median :0.0000 Median : 0.0000 Median : 1.000 ## Mean : -10.21 Mean :0.1687 Mean : 0.1549 Mean : -9.295 ## 3rd Qu.: 30.00 3rd Qu.:0.0000 3rd Qu.: 0.0000 3rd Qu.: 2.000 ## Max. : 59.00 Max. :3.0000 Max. :11.0000 Max. : 10.000 ## NA's :2239 NA's :719 NA's :719 NA's :5298 ## a12b a13 a14 a15a ## Min. : 0.000 Min. :1.000 Min. :-9999.00 Min. : 0.000 ## 1st Qu.: 0.000 1st Qu.:2.000 1st Qu.: 2.00 1st Qu.: 0.000 ## Median : 0.000 Median :2.000 Median : 3.00 Median : 1.000 ## Mean : 8.617 Mean :1.852 Mean : -47.05 Mean : 1.303 ## 3rd Qu.:20.000 3rd Qu.:2.000 3rd Qu.: 5.00 3rd Qu.: 2.000 ## Max. :59.000 Max. :2.000 Max. : 7.00 Max. :23.000 ## NA's :5299 NA's :5310 NA's :5310 ## a15b a16a a16b a17 ## Min. : 0.0 Min. :-9999.00 Min. :-9999.000 Min. :1.00 ## 1st Qu.: 0.0 1st Qu.: 1.00 1st Qu.: 0.000 1st Qu.:4.00 ## Median : 0.0 Median : 2.00 Median : 0.000 Median :4.00 ## Mean :10.4 Mean : -13.29 Mean : -9.605 Mean :3.47 ## 3rd Qu.:30.0 3rd Qu.: 4.00 3rd Qu.: 0.000 3rd Qu.:4.00 ## Max. :58.0 Max. : 23.00 Max. : 59.000 Max. :4.00 ## NA's :5310 NA's :3 ## a18 a18_esp a18_esp_sinCodificar a19 ## Min. :-9999.00 Length:6233 Length:6233 Min. :-9999.000 ## 1st Qu.: 2.00 Class :character Class :character 1st Qu.: 2.000 ## Median : 4.00 Mode :character Mode :character Median : 2.000 ## Mean : -63.55 Mean : -7.611 ## 3rd Qu.: 4.00 3rd Qu.: 2.000 ## Max. : 7.00 Max. : 4.000 ## ## d1_F1 d2_F1 d3_1 d3_2 ## Min. :-9999.00 Min. :-8888.00 Min. :1 Min. :2 ## 1st Qu.: 2.00 1st Qu.: 42.00 1st Qu.:1 1st Qu.:2 ## Median : 2.00 Median : 55.00 Median :1 Median :2 ## Mean : -39.77 Mean : -95.97 Mean :1 Mean :2 ## 3rd Qu.: 2.00 3rd Qu.: 66.00 3rd Qu.:1 3rd Qu.:2 ## Max. : 2.00 Max. : 86.00 Max. :1 Max. :2 ## NA's :5932 NA's :6175 NA's :6192 ## d3_3 d3_4 d3_5 d3_6 ## Min. :3 Min. :4 Min. :-8888 Min. :-9999 ## 1st Qu.:3 1st Qu.:4 1st Qu.:-8888 1st Qu.:-9999 ## Median :3 Median :4 Median :-8888 Median :-9999 ## Mean :3 Mean :4 Mean :-8888 Mean :-9999 ## 3rd Qu.:3 3rd Qu.:4 3rd Qu.:-8888 3rd Qu.:-9999 ## Max. :3 Max. :4 Max. :-8888 Max. :-9999 ## NA's :6051 NA's :276 NA's :6216 NA's :6221 ## d4 d5 d6 d7 ## Min. :-9999.00 Min. :-8888.00 Min. :-9999.00 Min. :-9999.00 ## 1st Qu.: 2.00 1st Qu.: 43.00 1st Qu.: 4.00 1st Qu.: 2.00 ## Median : 2.00 Median : 58.00 Median : 4.00 Median : 2.00 ## Mean : -58.11 Mean : -37.54 Mean : -43.49 Mean : -80.96 ## 3rd Qu.: 2.00 3rd Qu.: 70.00 3rd Qu.: 4.00 3rd Qu.: 2.00 ## Max. : 2.00 Max. : 88.00 Max. : 4.00 Max. : 2.00 ## NA's :6040 ## v1 v2 v3 v4 ## Min. :1.000 Min. :1.00 Min. :1.000 Min. :-8888.00 ## 1st Qu.:1.000 1st Qu.:1.00 1st Qu.:2.000 1st Qu.: 2.00 ## Median :1.000 Median :2.00 Median :4.000 Median : 2.00 ## Mean :1.449 Mean :1.63 Mean :3.159 Mean : -77.96 ## 3rd Qu.:2.000 3rd Qu.:2.00 3rd Qu.:4.000 3rd Qu.: 2.00 ## Max. :2.000 Max. :4.00 Max. :6.000 Max. : 2.00 ## NA's :2801 ## v5 v6 v7 v8_1 ## Min. :-8888.00 Min. :-8888.0 Min. :-8888.0 Min. :1 ## 1st Qu.: 53.00 1st Qu.: 2.0 1st Qu.: 45.5 1st Qu.:1 ## Median : 65.00 Median : 2.0 Median : 58.0 Median :1 ## Mean : -52.01 Mean : -132.1 Mean : -101.1 Mean :1 ## 3rd Qu.: 73.00 3rd Qu.: 2.0 3rd Qu.: 69.0 3rd Qu.:1 ## Max. : 92.00 Max. : 2.0 Max. : 92.0 Max. :1 ## NA's :5675 NA's :6063 NA's :5919 ## v8_2 v8_3 v8_4 v8_5 v8_6 ## Min. :2 Min. :3 Min. :4 Min. :5 Min. :-8888 ## 1st Qu.:2 1st Qu.:3 1st Qu.:4 1st Qu.:5 1st Qu.:-8888 ## Median :2 Median :3 Median :4 Median :5 Median :-8888 ## Mean :2 Mean :3 Mean :4 Mean :5 Mean :-8888 ## 3rd Qu.:2 3rd Qu.:3 3rd Qu.:4 3rd Qu.:5 3rd Qu.:-8888 ## Max. :2 Max. :3 Max. :4 Max. :5 Max. :-8888 ## NA's :6133 NA's :5539 NA's :6160 NA's :1262 NA's :6064 ## v8_7 au1_F1 au2_F1 au3_F1 au4_F1 ## Min. :-9999 Min. :1.000 Min. :1.00 Min. :1.000 Min. :1.000 ## 1st Qu.:-9999 1st Qu.:1.000 1st Qu.:1.00 1st Qu.:1.000 1st Qu.:1.000 ## Median :-9999 Median :1.000 Median :1.00 Median :1.000 Median :2.000 ## Mean :-9999 Mean :1.209 Mean :1.13 Mean :1.086 Mean :1.665 ## 3rd Qu.:-9999 3rd Qu.:1.000 3rd Qu.:1.00 3rd Qu.:1.000 3rd Qu.:2.000 ## Max. :-9999 Max. :2.000 Max. :2.00 Max. :2.000 Max. :2.000 ## NA's :6221 NA's :4680 ## au5_F1 au6_F1 au7_F1 sm1 ## Min. :1.000 Min. :1.000 Min. :1.00 Min. :-9999.00 ## 1st Qu.:1.000 1st Qu.:2.000 1st Qu.:1.00 1st Qu.: 2.00 ## Median :2.000 Median :2.000 Median :2.00 Median : 2.00 ## Mean :1.642 Mean :1.903 Mean :2.06 Mean : -24.41 ## 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:3.00 3rd Qu.: 2.00 ## Max. :2.000 Max. :2.000 Max. :4.00 Max. : 3.00 ## NA's :5713 NA's :4680 NA's :6082 ## sm2_1 sm2_2 sm2_3 sm2_4 sm2_5 ## Min. :1.000 Min. :1.000 Min. :1.00 Min. :1.000 Min. :1.00 ## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.00 1st Qu.:1.000 1st Qu.:1.00 ## Median :1.000 Median :1.000 Median :1.00 Median :2.000 Median :1.00 ## Mean :1.699 Mean :1.515 Mean :1.67 Mean :2.318 Mean :2.07 ## 3rd Qu.:2.000 3rd Qu.:1.000 3rd Qu.:2.00 3rd Qu.:4.000 3rd Qu.:4.00 ## Max. :4.000 Max. :4.000 Max. :4.00 Max. :4.000 Max. :4.00 ## NA's :4917 NA's :4917 NA's :4917 NA's :4917 NA's :4917 ## sm2_6 sm2_7 sm2_8 sm2_9 sm2_10 ## Min. :1.000 Min. :1.000 Min. :1.00 Min. :1.000 Min. :1.000 ## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.00 1st Qu.:1.000 1st Qu.:1.000 ## Median :1.000 Median :1.000 Median :1.00 Median :1.000 Median :1.000 ## Mean :1.964 Mean :1.886 Mean :1.84 Mean :1.875 Mean :1.884 ## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:3.00 3rd Qu.:4.000 3rd Qu.:4.000 ## Max. :4.000 Max. :4.000 Max. :4.00 Max. :4.000 Max. :4.000 ## NA's :4917 NA's :4917 NA's :4917 NA's :4917 NA's :4917 ## sm2_11 sm2_12 sm2_13 sm2_14 ## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 ## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 ## Median :1.000 Median :1.000 Median :1.000 Median :1.000 ## Mean :1.872 Mean :1.879 Mean :1.849 Mean :1.856 ## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:3.000 3rd Qu.:4.000 ## Max. :4.000 Max. :4.000 Max. :4.000 Max. :4.000 ## NA's :4917 NA's :4917 NA's :4917 NA's :4917 ## sm2_15 sm2_16 sm3 sm4 ## Min. :1.000 Min. :1.000 Min. :-9999 Min. :1.000 ## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.: 2 1st Qu.:1.000 ## Median :1.000 Median :1.000 Median : 2 Median :2.000 ## Mean :1.831 Mean :1.825 Mean : -71 Mean :1.619 ## 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.: 2 3rd Qu.:2.000 ## Max. :4.000 Max. :4.000 Max. : 3 Max. :2.000 ## NA's :4917 NA's :4917 ## sm5a sm5b sm5c sm6_1 ## Min. :-9999.00 Min. :-9999.0 Min. :-9999.0 Min. :-9999.00 ## 1st Qu.: 0.00 1st Qu.: 0.0 1st Qu.: 0.0 1st Qu.: 0.00 ## Median : 2.00 Median : 0.0 Median : 0.0 Median : 0.00 ## Mean : -67.63 Mean : -117.1 Mean : -124.6 Mean : -86.97 ## 3rd Qu.: 6.00 3rd Qu.: 2.0 3rd Qu.: 0.0 3rd Qu.: 0.00 ## Max. : 88.00 Max. : 11.0 Max. : 29.0 Max. : 3.00 ## NA's :3860 NA's :3860 NA's :3860 NA's :3860 ## sm6_2 sm6_3 sm6_4 sm6_5 ## Min. :-9999.00 Min. :-9999.00 Min. :-9999.00 Min. :-9999.00 ## 1st Qu.: 0.00 1st Qu.: 0.00 1st Qu.: 0.00 1st Qu.: 0.00 ## Median : 0.00 Median : 0.00 Median : 0.00 Median : 0.00 ## Mean : -71.72 Mean : -86.65 Mean : -90.58 Mean : -52.43 ## 3rd Qu.: 2.00 3rd Qu.: 3.00 3rd Qu.: 3.00 3rd Qu.: 0.00 ## Max. : 3.00 Max. : 3.00 Max. : 3.00 Max. : 3.00 ## NA's :3860 NA's :3860 NA's :3860 NA's :3860 ## sm6_6 sm6_7 sm6_8 sm6_9 ## Min. :-9999.00 Min. :-9999.00 Min. :-9999.00 Min. :-9999.00 ## 1st Qu.: 0.00 1st Qu.: 0.00 1st Qu.: 0.00 1st Qu.: 0.00 ## Median : 0.00 Median : 0.00 Median : 0.00 Median : 1.00 ## Mean : -38.95 Mean : -35.05 Mean : -48.37 Mean : -60.02 ## 3rd Qu.: 2.00 3rd Qu.: 3.00 3rd Qu.: 2.00 3rd Qu.: 3.00 ## Max. : 3.00 Max. : 3.00 Max. : 3.00 Max. : 3.00 ## NA's :3860 NA's :3860 NA's :3860 NA's :3860 ## sm6_10 sm6_11 sm6_12 sm7 ## Min. :-9999.00 Min. :-9999.00 Min. :-9999.0 Min. :-9999.00 ## 1st Qu.: 0.00 1st Qu.: 0.00 1st Qu.: 0.0 1st Qu.: 4.00 ## Median : 0.00 Median : 0.00 Median : 0.0 Median : 7.00 ## Mean : -60.53 Mean : -65.58 Mean : -218.5 Mean : -39.58 ## 3rd Qu.: 2.00 3rd Qu.: 0.00 3rd Qu.: 0.0 3rd Qu.: 9.00 ## Max. : 3.00 Max. : 3.00 Max. : 3.0 Max. : 12.00 ## NA's :3860 NA's :3860 NA's :3860 NA's :3889 ## sm8 sm9 sd1_F1 sd2_F1 ## Min. :-8888.0 Min. :-9999.00 Min. :1.000 Min. :1.000 ## 1st Qu.: 1.0 1st Qu.: 5.00 1st Qu.:1.000 1st Qu.:1.000 ## Median : 2.0 Median : 7.00 Median :2.000 Median :2.000 ## Mean : -218.2 Mean : -43.59 Mean :1.672 Mean :2.444 ## 3rd Qu.: 2.0 3rd Qu.: 8.00 3rd Qu.:2.000 3rd Qu.:3.000 ## Max. : 2.0 Max. : 10.00 Max. :3.000 Max. :4.000 ## NA's :3889 NA's :3889 NA's :4155 ## sd3_F1 sd4_F1 sd5_F1 sd6_F1 ## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 ## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:2.000 ## Median :2.000 Median :1.000 Median :1.000 Median :2.000 ## Mean :1.707 Mean :1.197 Mean :1.084 Mean :2.437 ## 3rd Qu.:2.000 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:4.000 ## Max. :3.000 Max. :2.000 Max. :2.000 Max. :5.000 ## NA's :5140 NA's :5278 NA's :5278 NA's :5278 ## sd7_F1 sd8_F1 sd9_F1 sd10_F1 ## Min. : 1.000 Min. :1.000 Min. :1.000 Min. :1.000 ## 1st Qu.: 3.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 ## Median : 5.000 Median :1.000 Median :1.000 Median :2.000 ## Mean : 6.596 Mean :1.492 Mean :1.271 Mean :1.661 ## 3rd Qu.: 8.000 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:2.000 ## Max. :80.000 Max. :2.000 Max. :2.000 Max. :3.000 ## NA's :5595 NA's :5595 NA's :5278 NA's :5537 ## sd11_F1 sd12_F1 sd13_F1 sd14_F1 ## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 ## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:2.000 ## Median :1.000 Median :1.000 Median :1.000 Median :2.000 ## Mean :1.241 Mean :1.357 Mean :1.475 Mean :1.887 ## 3rd Qu.:1.000 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:2.000 ## Max. :2.000 Max. :2.000 Max. :2.000 Max. :3.000 ## NA's :5278 NA's :5278 NA's :5278 NA's :955 ## sd15_F1 sd16_F1 sd17_F1 sd18_F1 ## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 ## 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:1.000 ## Median :3.000 Median :2.000 Median :1.000 Median :2.000 ## Mean :2.638 Mean :2.012 Mean :1.077 Mean :2.475 ## 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:1.000 3rd Qu.:4.000 ## Max. :4.000 Max. :3.000 Max. :2.000 Max. :4.000 ## NA's :5614 NA's :5987 NA's :6050 NA's :6050 ## sd19_F1 sd20_F1 sd21_F1 sd22_F1 ## Min. : 1.000 Min. :1.000 Min. :1.000 Min. :1.00 ## 1st Qu.: 3.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.00 ## Median : 5.000 Median :1.000 Median :1.000 Median :2.00 ## Mean : 5.842 Mean :1.439 Mean :1.246 Mean :1.71 ## 3rd Qu.: 7.000 3rd Qu.:2.000 3rd Qu.:1.000 3rd Qu.:2.00 ## Max. :25.000 Max. :2.000 Max. :2.000 Max. :3.00 ## NA's :6119 NA's :6119 NA's :6050 NA's :6095 ## sd23_F1 sd24_F1 sd25_F1 sd26a ## Min. :1.000 Min. :1.000 Min. :1.000 Min. :-9999.0 ## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.: 2016.0 ## Median :1.000 Median :1.000 Median :2.000 Median : 2016.0 ## Mean :1.208 Mean :1.322 Mean :1.525 Mean : 950.1 ## 3rd Qu.:1.000 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.: 2016.0 ## Max. :2.000 Max. :2.000 Max. :2.000 Max. : 2016.0 ## NA's :6050 NA's :6050 NA's :6050 NA's :5137 ## sd26b sd27_F1 sd28_F1 sd29_F1 ## Min. :-9999 Min. :1.000 Min. :-9999.00 Min. :-9999.00 ## 1st Qu.: 6 1st Qu.:1.000 1st Qu.: 2.00 1st Qu.: 25.00 ## Median : 9 Median :2.000 Median : 2.00 Median : 38.00 ## Mean : -396 Mean :1.818 Mean : -72.56 Mean : -90.76 ## 3rd Qu.: 10 3rd Qu.:2.000 3rd Qu.: 2.00 3rd Qu.: 53.00 ## Max. : 12 Max. :4.000 Max. : 2.00 Max. : 89.00 ## NA's :5137 NA's :5137 NA's :4920 ## sd30 sd31 o1 o2 ## Min. :-9999.00 Min. :-9999.00 Min. :-8888.00 Min. :-9999.00 ## 1st Qu.: 2.00 1st Qu.: 2.00 1st Qu.: 2.00 1st Qu.: 1.00 ## Median : 2.00 Median : 2.00 Median : 2.00 Median : 1.00 ## Mean : -52.21 Mean : -32.12 Mean : -27.53 Mean : -86.23 ## 3rd Qu.: 2.00 3rd Qu.: 2.00 3rd Qu.: 2.00 3rd Qu.: 1.00 ## Max. : 2.00 Max. : 2.00 Max. : 2.00 Max. : 11.00 ## NA's :478 NA's :5193 ## o2_esp o3a_1 o3b_1 o3b_1_esp ## Min. :20.0 Min. :-9999.0 Min. :-9999.0 Length:6233 ## 1st Qu.:20.5 1st Qu.: 26.0 1st Qu.: 1.0 Class :character ## Median :21.0 Median : 38.0 Median : 1.0 Mode :character ## Mean :21.0 Mean : -141.8 Mean : -105.1 ## 3rd Qu.:21.5 3rd Qu.: 54.0 3rd Qu.: 2.0 ## Max. :22.0 Max. : 92.0 Max. : 4.0 ## NA's :6231 NA's :5203 NA's :5203 ## o3b_1_esp_sinCodificar o3c_1 o3c_1_esp ## Length:6233 Min. :-9999.00 Length:6233 ## Class :character 1st Qu.: 2.00 Class :character ## Mode :character Median : 5.00 Mode :character ## Mean : -50.73 ## 3rd Qu.: 5.00 ## Max. : 5.00 ## NA's :5210 ## o3c_1_esp_sinCodificar o3a_2 o3b_2 o3b_2_esp ## Length:6233 Min. :-9999.0 Min. :-9999.0 Length:6233 ## Class :character 1st Qu.: 27.5 1st Qu.: 1.0 Class :character ## Mode :character Median : 42.0 Median : 1.0 Mode :character ## Mean : -698.0 Mean : -321.8 ## 3rd Qu.: 58.5 3rd Qu.: 3.0 ## Max. : 93.0 Max. : 4.0 ## NA's :6002 NA's :6003 ## o3b_2_esp_sinCodificar o3c_2 o3c_2_esp ## Length:6233 Min. :-9999 Length:6233 ## Class :character 1st Qu.: 1 Class :character ## Mode :character Median : 4 Mode :character ## Mean : -319 ## 3rd Qu.: 5 ## Max. : 5 ## NA's :6002 ## o3c_2_esp_sinCodificar o3a_3 o3b_3 o3b_3_esp ## Length:6233 Min. :-9999 Min. :-9999 Length:6233 ## Class :character 1st Qu.: 23 1st Qu.: 1 Class :character ## Mode :character Median : 37 Median : 1 Mode :character ## Mean :-1650 Mean :-1027 ## 3rd Qu.: 53 3rd Qu.: 3 ## Max. : 88 Max. : 4 ## NA's :6152 NA's :6152 ## o3b_3_esp_sinCodificar o3c_3 o3c_3_esp ## Length:6233 Min. :-9999.0 Length:6233 ## Class :character 1st Qu.: 1.0 Class :character ## Mode :character Median : 5.0 Mode :character ## Mean : -939.1 ## 3rd Qu.: 5.0 ## Max. : 5.0 ## NA's :6154 ## o3c_3_esp_sinCodificar o3a_4 o3b_4 o3b_4_esp ## Length:6233 Min. :-9999.00 Min. :-9999 Length:6233 ## Class :character 1st Qu.:-8888.00 1st Qu.:-2221 Class :character ## Mode :character Median : 24.50 Median : 1 Mode :character ## Mean :-3555.97 Mean :-2344 ## 3rd Qu.: 39.25 3rd Qu.: 3 ## Max. : 89.00 Max. : 4 ## NA's :6197 NA's :6197 ## o3b_4_esp_sinCodificar o3c_4 o3c_4_esp ## Length:6233 Min. :-9999 Length:6233 ## Class :character 1st Qu.: 1 Class :character ## Mode :character Median : 5 Mode :character ## Mean :-2065 ## 3rd Qu.: 5 ## Max. : 5 ## NA's :6197 ## o3c_4_esp_sinCodificar o3a_5 o3b_5 o3b_5_esp ## Length:6233 Min. :-9999.0 Min. :-9999 Length:6233 ## Class :character 1st Qu.:-8888.0 1st Qu.: 1 Class :character ## Mode :character Median : 26.5 Median : 1 Mode :character ## Mean :-3054.9 Mean :-2035 ## 3rd Qu.: 57.0 3rd Qu.: 3 ## Max. : 89.0 Max. : 4 ## NA's :6215 NA's :6215 ## o3c_5 o3c_5_esp o3c_5_esp_sinCodificar o3a_6 ## Min. :-9999 Length:6233 Length:6233 Min. :-9999 ## 1st Qu.: 1 Class :character Class :character 1st Qu.:-8888 ## Median : 2 Mode :character Mode :character Median : 25 ## Mean :-2034 Mean :-3058 ## 3rd Qu.: 5 3rd Qu.: 40 ## Max. : 5 Max. : 77 ## NA's :6215 NA's :6224 ## o3b_6 o3b_6_esp o3b_6_esp_sinCodificar o3c_6 ## Min. :-9999 Length:6233 Length:6233 Min. :-9999.0 ## 1st Qu.: 1 Class :character Class :character 1st Qu.:-2221.2 ## Median : 1 Mode :character Mode :character Median : 1.5 ## Mean :-2097 Mean :-2358.5 ## 3rd Qu.: 3 3rd Qu.: 5.0 ## Max. : 3 Max. : 5.0 ## NA's :6224 NA's :6225 ## o3c_6_esp o3c_6_esp_sinCodificar o3a_7 o3b_7 ## Length:6233 Length:6233 Min. :-8888.0 Min. :-8888.00 ## Class :character Class :character 1st Qu.:-6660.8 1st Qu.:-6665.75 ## Mode :character Mode :character Median : 30.5 Median : 2.00 ## Mean :-2934.5 Mean :-2960.67 ## 3rd Qu.: 47.5 3rd Qu.: 3.75 ## Max. : 58.0 Max. : 4.00 ## NA's :6227 NA's :6227 ## o3b_7_esp o3b_7_esp_sinCodificar o3c_7 o3c_7_esp ## Length:6233 Length:6233 Min. :-8888 Length:6233 ## Class :character Class :character 1st Qu.:-6666 Class :character ## Mode :character Mode :character Median : 3 Mode :character ## Mean :-2960 ## 3rd Qu.: 5 ## Max. : 5 ## NA's :6227 ## o3c_7_esp_sinCodificar o3a_8 o3b_8 o3c_8 ## Length:6233 Min. :-8888 Min. :-8888 Min. :-8888 ## Class :character 1st Qu.:-8888 1st Qu.:-8888 1st Qu.:-8888 ## Mode :character Median :-4425 Median :-4442 Median :-4444 ## Mean :-4420 Mean :-4442 Mean :-4442 ## 3rd Qu.: 43 3rd Qu.: 3 3rd Qu.: 2 ## Max. : 58 Max. : 3 Max. : 5 ## NA's :6229 NA's :6229 NA's :6229 ## o3c_8_esp o3c_8_esp_sinCodificar o3a_9 o3b_9 ## Length:6233 Length:6233 Min. :-8888.00 Min. :-8888 ## Class :character Class :character 1st Qu.:-8888.00 1st Qu.:-8888 ## Mode :character Mode :character Median :-4431.50 Median :-4442 ## Mean :-4423.25 Mean :-4442 ## 3rd Qu.: 33.25 3rd Qu.: 3 ## Max. : 58.00 Max. : 3 ## NA's :6229 NA's :6229 ## o3c_9 o3c_9_esp o3c_9_esp_sinCodificar o3a_10 ## Min. :-8888.0 Length:6233 Length:6233 Min. :-8888 ## 1st Qu.:-8888.0 Class :character Class :character 1st Qu.:-8888 ## Median :-4442.5 Mode :character Mode :character Median :-4429 ## Mean :-4442.0 Mean :-4422 ## 3rd Qu.: 3.5 3rd Qu.: 37 ## Max. : 5.0 Max. : 58 ## NA's :6229 NA's :6229 ## o3b_10 o3c_10 o3c_10_esp o4 ## Min. :-8888 Min. :-8888.00 Min. : NA Min. :-9999.0 ## 1st Qu.:-8888 1st Qu.:-8888.00 1st Qu.: NA 1st Qu.: 0.0 ## Median :-4442 Median :-4443.50 Median : NA Median : 0.0 ## Mean :-4442 Mean :-4442.75 Mean :NaN Mean : -98.6 ## 3rd Qu.: 3 3rd Qu.: 1.75 3rd Qu.: NA 3rd Qu.: 1.0 ## Max. : 3 Max. : 4.00 Max. : NA Max. : 192.0 ## NA's :6229 NA's :6229 NA's :6233 NA's :478 ## o5 o6 o7 o7_esp ## Min. :1.000 Min. :1.000 Min. :1.000 Length:6233 ## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:2.000 Class :character ## Median :2.000 Median :1.000 Median :3.000 Mode :character ## Mean :1.728 Mean :1.423 Mean :3.389 ## 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:5.000 ## Max. :2.000 Max. :2.000 Max. :6.000 ## NA's :478 NA's :478 NA's :478 ## o7_esp_sinCodificar n1 n2 n3 ## Length:6233 Min. :1.00 Min. :-9999.00 Min. :-9999.00 ## Class :character 1st Qu.:2.00 1st Qu.: 2.00 1st Qu.: 1.00 ## Mode :character Median :3.00 Median : 3.00 Median : 2.00 ## Mean :2.57 Mean : -92.15 Mean : -98.98 ## 3rd Qu.:3.00 3rd Qu.: 3.00 3rd Qu.: 2.00 ## Max. :4.00 Max. : 4.00 Max. : 2.00 ## ## n4_1 n4_2 n4_3 n4_4 n4_5 ## Min. :1 Min. :1 Min. :1 Min. :1 Min. :1 ## 1st Qu.:1 1st Qu.:1 1st Qu.:1 1st Qu.:1 1st Qu.:1 ## Median :1 Median :1 Median :1 Median :1 Median :1 ## Mean :1 Mean :1 Mean :1 Mean :1 Mean :1 ## 3rd Qu.:1 3rd Qu.:1 3rd Qu.:1 3rd Qu.:1 3rd Qu.:1 ## Max. :1 Max. :1 Max. :1 Max. :1 Max. :1 ## NA's :5126 NA's :5640 NA's :6211 NA's :6185 NA's :6082 ## n4_6 n4_6_esp n4_6_esp_sinCodificar n4_7 ## Min. :1 Length:6233 Length:6233 Min. :2 ## 1st Qu.:1 Class :character Class :character 1st Qu.:2 ## Median :1 Mode :character Mode :character Median :2 ## Mean :1 Mean :2 ## 3rd Qu.:1 3rd Qu.:2 ## Max. :1 Max. :2 ## NA's :6232 NA's :1643 ## die1a die1aesp die1b die2 die3 ## Min. :1.000 Min. :-9999 Min. :1.00 Min. :1.000 Min. :1.000 ## 1st Qu.:2.000 1st Qu.: 2 1st Qu.:1.00 1st Qu.:3.000 1st Qu.:1.000 ## Median :3.000 Median : 2 Median :2.00 Median :4.000 Median :2.000 ## Mean :2.822 Mean : -229 Mean :1.64 Mean :3.851 Mean :1.549 ## 3rd Qu.:4.000 3rd Qu.: 3 3rd Qu.:2.00 3rd Qu.:5.000 3rd Qu.:2.000 ## Max. :4.000 Max. : 7 Max. :2.00 Max. :7.000 Max. :2.000 ## NA's :5614 NA's :1302 NA's :508 ## die4 die5 die6 die7 ## Min. :1.000 Min. :1.000 Min. :0.000 Min. : 1.000 ## 1st Qu.:4.000 1st Qu.:1.000 1st Qu.:2.000 1st Qu.: 1.000 ## Median :6.000 Median :2.000 Median :4.000 Median : 2.000 ## Mean :4.768 Mean :2.096 Mean :4.341 Mean : 2.042 ## 3rd Qu.:6.000 3rd Qu.:2.000 3rd Qu.:7.000 3rd Qu.: 2.000 ## Max. :6.000 Max. :4.000 Max. :7.000 Max. :62.500 ## NA's :424 ## die8 die9 die10_a die10_b ## Min. :0.000 Min. : 0.500 Min. :1.000 Min. :1.000 ## 1st Qu.:4.000 1st Qu.: 1.000 1st Qu.:2.000 1st Qu.:2.000 ## Median :7.000 Median : 2.000 Median :4.000 Median :4.000 ## Mean :5.434 Mean : 1.883 Mean :3.503 Mean :3.541 ## 3rd Qu.:7.000 3rd Qu.: 2.000 3rd Qu.:5.000 3rd Qu.:5.000 ## Max. :7.000 Max. :54.000 Max. :5.000 Max. :5.000 ## NA's :156 ## die10_c die10_d die10_e die10_f ## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 ## 1st Qu.:1.000 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:1.000 ## Median :4.000 Median :4.000 Median :3.000 Median :2.000 ## Mean :3.212 Mean :3.457 Mean :3.047 Mean :2.721 ## 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000 ## Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000 ## ## die11 die12_cantidad die12_unidad die12e ## Min. :-8888.000 Min. : 1.000 Min. :1.000 Min. :-9999.000 ## 1st Qu.: 2.000 1st Qu.: 1.000 1st Qu.:2.000 1st Qu.: 1.000 ## Median : 4.000 Median : 2.000 Median :3.000 Median : 2.000 ## Mean : -2.991 Mean : 2.702 Mean :2.691 Mean : -7.517 ## 3rd Qu.: 6.000 3rd Qu.: 3.000 3rd Qu.:4.000 3rd Qu.: 3.000 ## Max. : 40.000 Max. :35.000 Max. :4.000 Max. : 120.000 ## NA's :2539 NA's :2539 ## die13_cantidad die13_unidad die13e die14 ## Min. : 1.000 Min. :1.000 Min. :-8888.000 Min. :0.000 ## 1st Qu.: 1.000 1st Qu.:2.000 1st Qu.: 1.000 1st Qu.:1.000 ## Median : 2.000 Median :4.000 Median : 2.000 Median :1.000 ## Mean : 2.897 Mean :2.928 Mean : -6.954 Mean :1.121 ## 3rd Qu.: 3.000 3rd Qu.:4.000 3rd Qu.: 2.000 3rd Qu.:1.000 ## Max. :283.000 Max. :4.000 Max. : 90.000 Max. :6.000 ## NA's :3372 NA's :3372 ## die14_esp die14_esp_sinCodificar ts1 ts2 ## Length:6233 Length:6233 Min. :-8888.0 Min. :-8888 ## Class :character Class :character 1st Qu.: 1.0 1st Qu.: 2 ## Mode :character Mode :character Median : 1.0 Median : 2 ## Mean : -265.2 Mean : -466 ## 3rd Qu.: 2.0 3rd Qu.: 2 ## Max. : 2.0 Max. : 2 ## ## ts3 ts4 ts5 ts5_aux ## Min. :1.000 Min. :1.000 Min. : 2.000 Min. : 1.000 ## 1st Qu.:2.000 1st Qu.:1.000 1st Qu.: 6.000 1st Qu.: 6.000 ## Median :2.000 Median :2.000 Median : 7.000 Median : 7.000 ## Mean :1.816 Mean :1.668 Mean : 7.178 Mean : 7.161 ## 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.: 8.000 3rd Qu.: 8.000 ## Max. :2.000 Max. :2.000 Max. :23.000 Max. :23.000 ## ## ts6 ts6_aux ts7 ts8 ## Min. : 1.000 Min. : 1.000 Min. :-9999.0 Min. :-9999.00 ## 1st Qu.: 7.000 1st Qu.: 7.000 1st Qu.: 1.0 1st Qu.: 1.00 ## Median : 8.000 Median : 8.000 Median : 1.0 Median : 1.00 ## Mean : 7.796 Mean : 7.834 Mean : -304.8 Mean : -51.54 ## 3rd Qu.: 9.000 3rd Qu.: 9.000 3rd Qu.: 1.0 3rd Qu.: 2.00 ## Max. :23.000 Max. :23.000 Max. : 4.0 Max. : 5.00 ## ## ts9_1 ts9_2 ts9_3 ts9_4 ## Min. :0.0000 Min. :0.000 Min. :0.0000 Min. :0.0000 ## 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.0000 1st Qu.:0.0000 ## Median :0.0000 Median :0.000 Median :0.0000 Median :0.0000 ## Mean :0.6273 Mean :0.793 Mean :0.2567 Mean :0.5514 ## 3rd Qu.:1.0000 3rd Qu.:1.000 3rd Qu.:0.0000 3rd Qu.:1.0000 ## Max. :4.0000 Max. :4.000 Max. :4.0000 Max. :4.0000 ## ## ts9_5 ts9_6 ts9_7 ts9_8 ## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.000 ## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.000 ## Median :1.0000 Median :0.0000 Median :0.0000 Median :0.000 ## Mean :0.8715 Mean :0.1426 Mean :0.6058 Mean :1.487 ## 3rd Qu.:2.0000 3rd Qu.:0.0000 3rd Qu.:1.0000 3rd Qu.:4.000 ## Max. :4.0000 Max. :4.0000 Max. :4.0000 Max. :4.000 ## ## ts10 ta1 ta2 ta3 ## Min. :-7777 Min. :-9999 Min. :-9999.00 Min. :1.000 ## 1st Qu.:-7777 1st Qu.: 1 1st Qu.: 1.00 1st Qu.:2.000 ## Median : 2 Median : 1 Median : 2.00 Median :3.000 ## Mean :-3303 Mean : -102 Mean : -94.69 Mean :2.989 ## 3rd Qu.: 2 3rd Qu.: 2 3rd Qu.: 2.00 3rd Qu.:4.000 ## Max. : 2 Max. : 3 Max. : 2.00 Max. :4.000 ## ## ta4 ta5 ta6 ta7 ## Min. :-5555.00 Min. :1.000 Min. :-8888.00 Min. :1.000 ## 1st Qu.: 4.00 1st Qu.:4.000 1st Qu.: 15.00 1st Qu.:1.000 ## Median : 7.00 Median :4.000 Median : 17.00 Median :2.000 ## Mean : -41.28 Mean :3.515 Mean : -56.65 Mean :1.522 ## 3rd Qu.: 15.00 3rd Qu.:4.000 3rd Qu.: 20.00 3rd Qu.:2.000 ## Max. : 90.00 Max. :4.000 Max. : 63.00 Max. :2.000 ## NA's :4906 NA's :4473 NA's :3017 NA's :4473 ## ta8 ta9 ta10_1 ta10_1_esp ## Min. :1.000 Min. :1.000 Min. :-9999.0 Length:6233 ## 1st Qu.:1.000 1st Qu.:4.000 1st Qu.: 4.0 Class :character ## Median :2.000 Median :4.000 Median : 4.0 Mode :character ## Mean :1.718 Mean :3.929 Mean : -113.5 ## 3rd Qu.:2.000 3rd Qu.:4.000 3rd Qu.: 5.0 ## Max. :3.000 Max. :5.000 Max. : 10.0 ## NA's :4473 NA's :4777 NA's :4784 ## ta10_1_esp_sinCodificar ta10_2 ta10_2_esp ## Length:6233 Min. :-9999 Length:6233 ## Class :character 1st Qu.:-8888 Class :character ## Mode :character Median : 4 Mode :character ## Mean :-2685 ## 3rd Qu.: 5 ## Max. : 10 ## NA's :4934 ## ta10_2_esp_sinCodificar ta10_3 ta10_3_esp ## Length:6233 Min. :-9999 Length:6233 ## Class :character 1st Qu.:-9999 Class :character ## Mode :character Median :-8888 Mode :character ## Mean :-5124 ## 3rd Qu.: 5 ## Max. : 10 ## NA's :5064 ## ta10_3_esp_sinCodificar ta11_1 ta11_2 ta12_1 ## Length:6233 Min. : 0.000 Min. : 0.000 Min. : 0.0000 ## Class :character 1st Qu.: 0.000 1st Qu.: 0.000 1st Qu.: 0.0000 ## Mode :character Median : 0.000 Median : 0.000 Median : 0.0000 ## Mean : 0.355 Mean : 0.396 Mean : 0.3988 ## 3rd Qu.: 0.000 3rd Qu.: 0.000 3rd Qu.: 0.0000 ## Max. :24.000 Max. :24.000 Max. :24.0000 ## ## ta12_2 ta13_1 ta13_2 ta14_1a ## Min. : 0.000 Min. : 0.0000 Min. : 0.0000 Min. :1.000 ## 1st Qu.: 0.000 1st Qu.: 0.0000 1st Qu.: 0.0000 1st Qu.:1.000 ## Median : 0.000 Median : 0.0000 Median : 0.0000 Median :1.000 ## Mean : 0.352 Mean : 0.3161 Mean : 0.3469 Mean :1.214 ## 3rd Qu.: 0.000 3rd Qu.: 0.0000 3rd Qu.: 0.0000 3rd Qu.:1.000 ## Max. :24.000 Max. :24.0000 Max. :24.0000 Max. :2.000 ## NA's :4473 ## ta14_1b ta14_2a ta14_2b ta14_3a ## Min. : 0.000 Min. :1.000 Min. : 0.000 Min. :1.000 ## 1st Qu.: 2.000 1st Qu.:1.000 1st Qu.: 0.000 1st Qu.:1.000 ## Median : 4.000 Median :1.000 Median : 0.000 Median :1.000 ## Mean : 6.951 Mean :1.174 Mean : 0.447 Mean :1.164 ## 3rd Qu.: 10.000 3rd Qu.:1.000 3rd Qu.: 0.000 3rd Qu.:1.000 ## Max. :140.000 Max. :2.000 Max. :100.000 Max. :2.000 ## NA's :4473 NA's :4473 NA's :4473 NA's :4473 ## ta14_3b ta14_4a ta14_4b ta14_5 ## Min. : 0.000 Min. :1.00 Min. : 0.000 Min. :-9999.00 ## 1st Qu.: 0.000 1st Qu.:1.00 1st Qu.: 0.000 1st Qu.: 0.00 ## Median : 0.000 Median :1.00 Median : 0.000 Median : 0.00 ## Mean : 0.111 Mean :1.17 Mean : 0.044 Mean : -81.51 ## 3rd Qu.: 0.000 3rd Qu.:1.00 3rd Qu.: 0.000 3rd Qu.: 0.00 ## Max. :105.000 Max. :2.00 Max. :15.000 Max. : 5.00 ## NA's :4473 NA's :4473 NA's :4473 NA's :4612 ## ta14_6a ta14_6b ta14_7a ta14_7b ## Min. :1.000 Min. : 0.00 Min. :1.000 Min. : 0.000 ## 1st Qu.:1.000 1st Qu.: 0.00 1st Qu.:1.000 1st Qu.: 0.000 ## Median :1.000 Median : 0.00 Median :1.000 Median : 0.000 ## Mean :1.174 Mean : 0.02 Mean :1.164 Mean : 0.343 ## 3rd Qu.:1.000 3rd Qu.: 0.00 3rd Qu.:1.000 3rd Qu.: 0.000 ## Max. :2.000 Max. :10.00 Max. :2.000 Max. :20.000 ## NA's :4473 NA's :4473 NA's :4474 NA's :4543 ## ta14_7c ta14_7c_sinCodificar ta14a ta14b ## Length:6233 Length:6233 Min. :1.000 Min. :1.000 ## Class :character Class :character 1st Qu.:1.000 1st Qu.:1.000 ## Mode :character Mode :character Median :2.000 Median :2.000 ## Mean :1.649 Mean :1.564 ## 3rd Qu.:2.000 3rd Qu.:2.000 ## Max. :2.000 Max. :2.000 ## NA's :4582 NA's :4582 ## ta15 ta16_1 ta16_2 ta16_3 ta16_4 ## Min. :-9999.0 Min. :1 Min. :2 Min. :3 Min. :4 ## 1st Qu.: 2.0 1st Qu.:1 1st Qu.:2 1st Qu.:3 1st Qu.:4 ## Median : 2.0 Median :1 Median :2 Median :3 Median :4 ## Mean : -121.9 Mean :1 Mean :2 Mean :3 Mean :4 ## 3rd Qu.: 3.0 3rd Qu.:1 3rd Qu.:2 3rd Qu.:3 3rd Qu.:4 ## Max. : 3.0 Max. :1 Max. :2 Max. :3 Max. :4 ## NA's :4969 NA's :5396 NA's :5900 NA's :5700 ## ta16_5 ta16_6 ta16_7 ta17 ta18 ## Min. :5 Min. :6 Min. :7 Min. :1.000 Min. :1.000 ## 1st Qu.:5 1st Qu.:6 1st Qu.:7 1st Qu.:1.000 1st Qu.:2.000 ## Median :5 Median :6 Median :7 Median :1.000 Median :2.000 ## Mean :5 Mean :6 Mean :7 Mean :1.291 Mean :1.852 ## 3rd Qu.:5 3rd Qu.:6 3rd Qu.:7 3rd Qu.:1.000 3rd Qu.:2.000 ## Max. :5 Max. :6 Max. :7 Max. :4.000 Max. :2.000 ## NA's :4550 NA's :4670 NA's :4636 ## ta18_esp sb1 sb2 sb3 sb4 ## Min. :1.000 Min. :1.00 Min. :1.000 Min. :-9999 Min. :1.000 ## 1st Qu.:1.000 1st Qu.:2.00 1st Qu.:1.000 1st Qu.: 1 1st Qu.:1.000 ## Median :1.000 Median :3.00 Median :3.000 Median : 2 Median :4.000 ## Mean :1.526 Mean :2.69 Mean :2.946 Mean : -476 Mean :3.345 ## 3rd Qu.:2.000 3rd Qu.:3.00 3rd Qu.:4.000 3rd Qu.: 3 3rd Qu.:5.000 ## Max. :7.000 Max. :5.00 Max. :6.000 Max. : 3 Max. :5.000 ## NA's :5311 NA's :219 NA's :258 ## sb5_1 sb5_2 sb5_3 sb5_4 sb5_5 ## Min. :1.00 Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 ## 1st Qu.:1.00 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 ## Median :1.00 Median :1.000 Median :1.000 Median :1.000 Median :1.000 ## Mean :1.36 Mean :1.434 Mean :1.472 Mean :1.237 Mean :1.252 ## 3rd Qu.:1.00 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:1.000 ## Max. :5.00 Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000 ## ## h1a h1b h2 h3 ## Min. :-9999.0 Min. :-9999 Min. :1.000 Min. :-9999.0 ## 1st Qu.: 2015.0 1st Qu.: 2 1st Qu.:2.000 1st Qu.: 35.0 ## Median : 2016.0 Median : 8 Median :3.000 Median : 50.0 ## Mean : 968.4 Mean :-1311 Mean :2.593 Mean : -339.4 ## 3rd Qu.: 2016.0 3rd Qu.: 10 3rd Qu.:3.000 3rd Qu.: 60.0 ## Max. : 2017.0 Max. : 12 Max. :4.000 Max. : 87.0 ## NA's :4 NA's :4221 ## h4 h5 h6 h7 h8 ## Min. :-9999 Min. :1.000 Min. :1.000 Min. :1.00 Min. :1.000 ## 1st Qu.: 1 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:1.00 1st Qu.:1.000 ## Median : 2 Median :2.000 Median :1.000 Median :1.00 Median :1.000 ## Mean : -130 Mean :1.761 Mean :1.274 Mean :1.78 Mean :1.277 ## 3rd Qu.: 2 3rd Qu.:2.000 3rd Qu.:1.000 3rd Qu.:2.00 3rd Qu.:1.000 ## Max. : 2 Max. :2.000 Max. :3.000 Max. :5.00 Max. :5.000 ## NA's :10 NA's :10 NA's :4748 NA's :4748 NA's :4748 ## h8_esp h8_esp_sinCodificar h9_1 h9_2 ## Length:6233 Length:6233 Min. :-9999.0 Min. :-9999.0 ## Class :character Class :character 1st Qu.: 1.0 1st Qu.: 0.0 ## Mode :character Mode :character Median : 1.0 Median : 1.0 ## Mean : -397.6 Mean : -443.1 ## 3rd Qu.: 3.0 3rd Qu.: 2.0 ## Max. : 24.0 Max. : 24.0 ## NA's :4774 NA's :4772 ## h9_3 h10_1 h10_1_esp h10_1_esp_sinCodificar ## Min. :-9999.0 Min. :-9999 Length:6233 Length:6233 ## 1st Qu.: 0.0 1st Qu.: 1 Class :character Class :character ## Median : 1.0 Median : 1 Mode :character Mode :character ## Mean : -469.7 Mean :-1695 ## 3rd Qu.: 1.0 3rd Qu.: 2 ## Max. : 24.0 Max. : 3 ## NA's :4772 NA's :6083 ## h10a_1 h10b_1 h10b_1_esp h10b_1_esp_sinCodificar ## Min. :1.000 Min. :1.000 Length:6233 Length:6233 ## 1st Qu.:1.000 1st Qu.:1.000 Class :character Class :character ## Median :1.000 Median :5.000 Mode :character Mode :character ## Mean :1.764 Mean :4.469 ## 3rd Qu.:3.000 3rd Qu.:8.000 ## Max. :6.000 Max. :9.000 ## NA's :6178 NA's :6184 ## h10_2 h10_2_esp h10_2_esp_sinCodificar h10a_2 ## Min. :-9999 Length:6233 Length:6233 Min. :1.000 ## 1st Qu.:-8888 Class :character Class :character 1st Qu.:1.000 ## Median : 1 Mode :character Mode :character Median :1.000 ## Mean :-2432 Mean :1.302 ## 3rd Qu.: 3 3rd Qu.:1.000 ## Max. : 3 Max. :3.000 ## NA's :5892 NA's :6137 ## h10b_2 h10b_2_esp h10b_2_esp_sinCodificar h10_3 ## Min. : 1.000 Length:6233 Length:6233 Min. :-9999 ## 1st Qu.: 1.000 Class :character Class :character 1st Qu.:-8888 ## Median : 5.000 Mode :character Mode :character Median : 1 ## Mean : 5.016 Mean :-2283 ## 3rd Qu.: 8.000 3rd Qu.: 2 ## Max. :10.000 Max. : 3 ## NA's :6172 NA's :5646 ## h10_3_esp h10_3_esp_sinCodificar h10a_3 h10b_3 ## Length:6233 Length:6233 Min. :1.000 Min. :-8888.0 ## Class :character Class :character 1st Qu.:1.000 1st Qu.: 1.0 ## Mode :character Mode :character Median :1.000 Median : 8.0 ## Mean :1.286 Mean : -141.4 ## 3rd Qu.:1.000 3rd Qu.: 8.0 ## Max. :7.000 Max. : 10.0 ## NA's :6037 NA's :6112 ## h10b_3_esp h10b_3_esp_sinCodificar h11 di1 ## Length:6233 Length:6233 Min. :1.000 Min. :1.000 ## Class :character Class :character 1st Qu.:2.000 1st Qu.:1.000 ## Mode :character Mode :character Median :2.000 Median :1.000 ## Mean :2.016 Mean :1.498 ## 3rd Qu.:2.000 3rd Qu.:2.000 ## Max. :4.000 Max. :3.000 ## NA's :2338 ## di2a di2b di3 di3a ## Min. :-9999 Min. :-9999 Min. :1.000 Min. :-8888.0 ## 1st Qu.: 2015 1st Qu.: 3 1st Qu.:2.000 1st Qu.: 40.0 ## Median : 2016 Median : 8 Median :2.000 Median : 50.0 ## Mean : 1536 Mean :-1318 Mean :1.866 Mean : -181.8 ## 3rd Qu.: 2016 3rd Qu.: 10 3rd Qu.:2.000 3rd Qu.: 60.0 ## Max. : 2017 Max. : 12 Max. :3.000 Max. : 85.0 ## NA's :2987 NA's :2987 NA's :5347 ## di4 di5 di6 di7_1 di7_2 ## Min. :1.00 Min. :-9999.0 Min. :1.000 Min. :1 Min. :2 ## 1st Qu.:2.00 1st Qu.: 2.0 1st Qu.:2.000 1st Qu.:1 1st Qu.:2 ## Median :2.00 Median : 2.0 Median :2.000 Median :1 Median :2 ## Mean :1.98 Mean : -107.8 Mean :1.871 Mean :1 Mean :2 ## 3rd Qu.:2.00 3rd Qu.: 2.0 3rd Qu.:2.000 3rd Qu.:1 3rd Qu.:2 ## Max. :4.00 Max. : 2.0 Max. :2.000 Max. :1 Max. :2 ## NA's :5596 NA's :5592 NA's :6094 ## di7_3 di8 di9 di10 ## Min. :3 Min. :-9999.0 Min. :-8888.00 Min. :1.000 ## 1st Qu.:3 1st Qu.: 46.5 1st Qu.: 2.00 1st Qu.:5.000 ## Median :3 Median : 60.0 Median : 2.00 Median :5.000 ## Mean :3 Mean : -274.1 Mean : -55.07 Mean :4.385 ## 3rd Qu.:3 3rd Qu.: 66.5 3rd Qu.: 2.00 3rd Qu.:5.000 ## Max. :3 Max. : 88.0 Max. : 2.00 Max. :5.000 ## NA's :5984 NA's :6094 ## di11 di12 di13 di14 ## Min. :1.000 Min. :-9999.0 Min. :1.000 Min. :1.000 ## 1st Qu.:1.000 1st Qu.: 2.0 1st Qu.:1.000 1st Qu.:1.000 ## Median :3.000 Median : 2.0 Median :1.000 Median :1.000 ## Mean :3.153 Mean : -241.4 Mean :1.591 Mean :1.491 ## 3rd Qu.:5.000 3rd Qu.: 2.0 3rd Qu.:2.000 3rd Qu.:2.000 ## Max. :5.000 Max. : 2.0 Max. :5.000 Max. :5.000 ## NA's :5178 NA's :5178 ## di14_esp di14_esp_sinCodificar di15_1 di15_2 ## Length:6233 Length:6233 Min. :-9999.0 Min. :-9999.0 ## Class :character Class :character 1st Qu.: 1.0 1st Qu.: 0.0 ## Mode :character Mode :character Median : 1.0 Median : 1.0 ## Mean : -473.7 Mean : -569.2 ## 3rd Qu.: 3.0 3rd Qu.: 2.0 ## Max. : 24.0 Max. : 24.0 ## NA's :5245 NA's :5242 ## di15_3 di16_1 di16_1_esp di16_1_esp_sinCodificar ## Min. :-9999.0 Min. :-9999 Length:6233 Length:6233 ## 1st Qu.: 0.0 1st Qu.: 1 Class :character Class :character ## Median : 1.0 Median : 2 Mode :character Mode :character ## Mean : -588.1 Mean :-1607 ## 3rd Qu.: 1.0 3rd Qu.: 3 ## Max. : 24.0 Max. : 3 ## NA's :5241 NA's :6032 ## di16a_1 di16b_1 di16b_1_esp di16b_1_esp_sinCodificar ## Min. :1.000 Min. : 1.000 Length:6233 Length:6233 ## 1st Qu.:1.000 1st Qu.: 1.000 Class :character Class :character ## Median :1.000 Median : 2.000 Mode :character Mode :character ## Mean :1.328 Mean : 4.077 ## 3rd Qu.:1.000 3rd Qu.: 8.000 ## Max. :5.000 Max. :10.000 ## NA's :6172 NA's :6194 ## di16_2 di16_2_esp di16_2_esp_sinCodificar di16a_2 ## Min. :-9999 Length:6233 Length:6233 Min. :1.000 ## 1st Qu.:-8888 Class :character Class :character 1st Qu.:1.000 ## Median : 1 Mode :character Mode :character Median :1.000 ## Mean :-2933 Mean :1.146 ## 3rd Qu.: 3 3rd Qu.:1.000 ## Max. : 3 Max. :3.000 ## NA's :5924 NA's :6144 ## di16b_2 di16b_2_esp di16b_2_esp_sinCodificar di16_3 ## Min. : 1.000 Length:6233 Length:6233 Min. :-9999 ## 1st Qu.: 1.000 Class :character Class :character 1st Qu.:-8888 ## Median : 2.000 Mode :character Mode :character Median : 1 ## Mean : 3.323 Mean :-2582 ## 3rd Qu.: 5.500 3rd Qu.: 3 ## Max. :10.000 Max. : 3 ## NA's :6202 NA's :5843 ## di16_3_esp di16_3_esp_sinCodificar di16a_3 di16b_3 ## Length:6233 Length:6233 Min. :1.000 Min. : 1.00 ## Class :character Class :character 1st Qu.:1.000 1st Qu.: 1.00 ## Mode :character Mode :character Median :1.000 Median : 3.00 ## Mean :1.167 Mean : 4.32 ## 3rd Qu.:1.000 3rd Qu.: 8.00 ## Max. :7.000 Max. :10.00 ## NA's :6107 NA's :6183 ## di16b_3_esp di16b_3_esp_sinCodificar dis2 dis3 ## Length:6233 Length:6233 Min. :1.000 Min. :-9999.0 ## Class :character Class :character 1st Qu.:3.000 1st Qu.: 40.0 ## Mode :character Mode :character Median :3.000 Median : 50.0 ## Mean :2.671 Mean : -259.8 ## 3rd Qu.:3.000 3rd Qu.: 61.0 ## Max. :4.000 Max. : 94.0 ## NA's :4706 ## dis4 dis5 dis6 af1a ## Min. :-9999.0 Min. :1.000 Min. :1.000 Min. :-8888.0 ## 1st Qu.: 2.0 1st Qu.:2.000 1st Qu.:1.000 1st Qu.: 1.0 ## Median : 2.0 Median :2.000 Median :1.000 Median : 2.0 ## Mean : -238.1 Mean :1.854 Mean :1.577 Mean : -443.4 ## 3rd Qu.: 2.0 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.: 2.0 ## Max. : 2.0 Max. :2.000 Max. :3.000 Max. : 2.0 ## NA's :5326 ## af1b af1c af1d af1e ## Min. :-8888.0 Min. :-8888.0 Min. :-8888.0 Min. :-8888.0 ## 1st Qu.: 1.0 1st Qu.: 1.0 1st Qu.: 2.0 1st Qu.: 2.0 ## Median : 2.0 Median : 2.0 Median : 2.0 Median : 2.0 ## Mean : -347.8 Mean : -742.8 Mean : -338.9 Mean : -360.3 ## 3rd Qu.: 2.0 3rd Qu.: 2.0 3rd Qu.: 2.0 3rd Qu.: 2.0 ## Max. : 2.0 Max. : 2.0 Max. : 2.0 Max. : 2.0 ## ## af1f af1g af1h af1i ## Min. :-8888.0 Min. :-8888.0 Min. :-8888.0 Min. :-8888.0 ## 1st Qu.: 2.0 1st Qu.: 2.0 1st Qu.: 2.0 1st Qu.: 2.0 ## Median : 2.0 Median : 2.0 Median : 2.0 Median : 2.0 ## Mean : -337.6 Mean : -353.2 Mean : -366.1 Mean : -333.3 ## 3rd Qu.: 2.0 3rd Qu.: 2.0 3rd Qu.: 2.0 3rd Qu.: 2.0 ## Max. : 2.0 Max. : 2.0 Max. : 2.0 Max. : 2.0 ## NA's :1 ## ps1 ps2_F1 ps3_F1 ps4_F1 ## Min. :-9999.0 Min. :-9999.00 Min. :-9999.00 Min. :-9999.00 ## 1st Qu.: 2.0 1st Qu.: 1.00 1st Qu.: 1.00 1st Qu.: 1.00 ## Median : 4.0 Median : 2.00 Median : 1.00 Median : 1.00 ## Mean : -122.9 Mean : -91.52 Mean : -52.04 Mean : -84.25 ## 3rd Qu.: 4.0 3rd Qu.: 4.00 3rd Qu.: 2.00 3rd Qu.: 2.00 ## Max. : 4.0 Max. : 4.00 Max. : 5.00 Max. : 5.00 ## ## ps5_F1 ps6_F1 ps6a ps7_F1 ## Min. :1.00 Min. :-9999.0 Min. :1.000 Min. :1.000 ## 1st Qu.:2.00 1st Qu.: 1.0 1st Qu.:1.000 1st Qu.:1.000 ## Median :4.00 Median : 3.0 Median :1.000 Median :2.000 ## Mean :3.31 Mean : -165.7 Mean :1.529 Mean :1.859 ## 3rd Qu.:4.00 3rd Qu.: 3.0 3rd Qu.:2.000 3rd Qu.:2.000 ## Max. :5.00 Max. : 3.0 Max. :4.000 Max. :4.000 ## NA's :4217 ## ps8 ps9_F1 ps10_F1 as3_1 ## Min. :-9999.0 Min. :-9999.00 Min. :1.000 Min. : 1.000 ## 1st Qu.: 1.0 1st Qu.: 2.00 1st Qu.:1.000 1st Qu.: 1.000 ## Median : 2.0 Median : 3.00 Median :1.000 Median : 1.000 ## Mean : -119.8 Mean : -76.98 Mean :1.839 Mean : 2.039 ## 3rd Qu.: 2.0 3rd Qu.: 3.00 3rd Qu.:2.000 3rd Qu.: 2.000 ## Max. : 3.0 Max. : 3.00 Max. :5.000 Max. :15.000 ## ## as4_1 as5_1 as5_esp_1 as5_esp_sinCodificar_1 ## Min. :-9999.00 Min. :-8888.0 Length:6233 Length:6233 ## 1st Qu.: 1.00 1st Qu.: 1.0 Class :character Class :character ## Median : 5.00 Median : 2.0 Mode :character Mode :character ## Mean : -27.66 Mean : -103.7 ## 3rd Qu.: 8.00 3rd Qu.: 5.0 ## Max. : 8.00 Max. : 9.0 ## ## as6_1 as7_1 as7_corr_1 as8_1 ## Min. :-8888.00 Min. :-9999.00 Min. :-9999.00 Min. :1.000 ## 1st Qu.: 3.00 1st Qu.: 7.00 1st Qu.: 7.00 1st Qu.:3.000 ## Median : 3.00 Median : 9.00 Median : 9.00 Median :4.000 ## Mean : -51.38 Mean : -82.99 Mean : -82.99 Mean :4.166 ## 3rd Qu.: 3.00 3rd Qu.: 11.00 3rd Qu.: 11.00 3rd Qu.:5.000 ## Max. : 3.00 Max. : 14.00 Max. : 14.00 Max. :8.000 ## NA's :220 ## as8_corr_1 NEDU1 as9_1 as9_corr_1 ## Min. :1.000 Min. :1.000 Min. :-8888.00 Min. :1.000 ## 1st Qu.:3.000 1st Qu.:2.000 1st Qu.: 1.00 1st Qu.:1.000 ## Median :4.000 Median :2.000 Median : 1.00 Median :1.000 ## Mean :3.996 Mean :1.983 Mean : -71.19 Mean :1.413 ## 3rd Qu.:5.000 3rd Qu.:2.000 3rd Qu.: 1.00 3rd Qu.:2.000 ## Max. :8.000 Max. :3.000 Max. : 2.00 Max. :2.000 ## NA's :220 NA's :59 NA's :220 NA's :220 ## as10_1 as10_esp_1 as10_esp_sinCodificar_1 as11_1 ## Min. :-9999.0 Length:6233 Length:6233 Min. :1.000 ## 1st Qu.: 1.0 Class :character Class :character 1st Qu.:2.000 ## Median : 3.0 Mode :character Mode :character Median :2.000 ## Mean : -29.4 Mean :1.934 ## 3rd Qu.: 7.0 3rd Qu.:2.000 ## Max. : 11.0 Max. :3.000 ## NA's :2 ## as13_1 as14_1 as15_1 as16_1 ## Min. :1.000 Min. :1.00 Min. :-9999.0 Min. :-9999.0 ## 1st Qu.:1.000 1st Qu.:2.00 1st Qu.: 2.0 1st Qu.: 1.0 ## Median :2.000 Median :2.00 Median : 5.0 Median : 3.0 ## Mean :1.631 Mean :1.97 Mean : -114.6 Mean : -316.8 ## 3rd Qu.:2.000 3rd Qu.:2.00 3rd Qu.: 5.0 3rd Qu.: 5.0 ## Max. :2.000 Max. :2.00 Max. : 9.0 Max. : 6.0 ## NA's :2303 NA's :3812 NA's :3812 ## as17_1 as17_sinCodificar_1 as18_1 as18_sinCodificar_1 ## Min. : 110 Length:6233 Min. :1110 Length:6233 ## 1st Qu.:3473 Class :character 1st Qu.:5000 Class :character ## Median :5230 Mode :character Median :6310 Mode :character ## Mean :5907 Mean :6627 ## 3rd Qu.:8322 3rd Qu.:9310 ## Max. :9999 Max. :9999 ## NA's :3824 NA's :3823 ## as19_1 as19_esp_1 as19_esp_sinCodificar_1 as20_1 ## Min. :-9999.00 Length:6233 Length:6233 Min. :1.000 ## 1st Qu.: 3.00 Class :character Class :character 1st Qu.:1.000 ## Median : 3.00 Mode :character Mode :character Median :1.000 ## Mean : -20.95 Mean :1.865 ## 3rd Qu.: 6.00 3rd Qu.:3.000 ## Max. : 8.00 Max. :4.000 ## NA's :3812 NA's :3812 ## as21_1 as22_1 as22_esp_1 as22_esp_sinCodificar_1 ## Min. :-9999.0 Min. :-9999.0 Length:6233 Length:6233 ## 1st Qu.: 1.0 1st Qu.: 1.0 Class :character Class :character ## Median : 2.0 Median : 1.0 Mode :character Mode :character ## Mean : -274.8 Mean : -175.1 ## 3rd Qu.: 3.0 3rd Qu.: 7.0 ## Max. : 3.0 Max. : 8.0 ## NA's :3811 NA's :3812 ## IdPersona_2 IdSexo_2 Edad_2 as3_2 ## Min. : 1.0 Min. :1.000 Min. :20.00 Min. :1 ## 1st Qu.: 41.0 1st Qu.:1.000 1st Qu.:43.00 1st Qu.:1 ## Median : 81.0 Median :1.000 Median :53.00 Median :1 ## Mean :107.5 Mean :1.281 Mean :53.29 Mean :1 ## 3rd Qu.:147.0 3rd Qu.:2.000 3rd Qu.:63.00 3rd Qu.:1 ## Max. :587.0 Max. :2.000 Max. :93.00 Max. :1 ## NA's :4137 NA's :4137 NA's :4137 NA's :4137 ## as4_2 as5_2 as5_esp_2 as5_esp_sinCodificar_2 ## Min. :-9999.00 Min. :-8888.0 Length:6233 Length:6233 ## 1st Qu.: 1.00 1st Qu.: 2.0 Class :character Class :character ## Median : 1.00 Median : 3.0 Mode :character Mode :character ## Mean : -19.58 Mean : -242.5 ## 3rd Qu.: 5.00 3rd Qu.: 5.0 ## Max. : 8.00 Max. : 8.0 ## NA's :4137 NA's :4137 ## as6_2 as7_2 as7_corr_2 as8_2 ## Min. :-8888.0 Min. :-9999.0 Min. :-9999.0 Min. :1.000 ## 1st Qu.: 3.0 1st Qu.: 7.0 1st Qu.: 7.0 1st Qu.:3.000 ## Median : 3.0 Median : 9.0 Median : 9.0 Median :4.000 ## Mean : -243.3 Mean : -203.3 Mean : -203.3 Mean :4.376 ## 3rd Qu.: 3.0 3rd Qu.: 11.0 3rd Qu.: 11.0 3rd Qu.:5.000 ## Max. : 3.0 Max. : 14.0 Max. : 14.0 Max. :8.000 ## NA's :4137 NA's :4137 NA's :4137 NA's :4227 ## as8_corr_2 as9_2 as9_corr_2 as10_2 ## Min. :1.000 Min. :-8888.0 Min. :1.000 Min. :-9999.00 ## 1st Qu.:3.000 1st Qu.: 1.0 1st Qu.:1.000 1st Qu.: 1.00 ## Median :4.000 Median : 1.0 Median :1.000 Median : 1.00 ## Mean :4.229 Mean : -105.2 Mean :1.371 Mean : -82.51 ## 3rd Qu.:5.000 3rd Qu.: 1.0 3rd Qu.:2.000 3rd Qu.: 6.00 ## Max. :8.000 Max. : 2.0 Max. :2.000 Max. : 11.00 ## NA's :4227 NA's :4227 NA's :4227 NA's :4137 ## as10_esp_2 as10_esp_sinCodificar_2 as11_2 as13_2 ## Length:6233 Length:6233 Min. :1.000 Min. :1.000 ## Class :character Class :character 1st Qu.:2.000 1st Qu.:1.000 ## Mode :character Mode :character Median :2.000 Median :1.000 ## Mean :1.889 Mean :1.491 ## 3rd Qu.:2.000 3rd Qu.:2.000 ## Max. :3.000 Max. :2.000 ## NA's :4137 NA's :4137 ## as14_2 as15_2 as16_2 as17_2 ## Min. :1.000 Min. :-9999.0 Min. :-9999.0 Min. : 110 ## 1st Qu.:2.000 1st Qu.: 2.0 1st Qu.: 1.0 1st Qu.:4132 ## Median :2.000 Median : 5.0 Median : 3.0 Median :7122 ## Mean :1.963 Mean : -172.4 Mean : -903.5 Mean :6159 ## 3rd Qu.:2.000 3rd Qu.: 5.0 3rd Qu.: 5.0 3rd Qu.:8322 ## Max. :2.000 Max. : 9.0 Max. : 6.0 Max. :9999 ## NA's :5203 NA's :5130 NA's :5130 NA's :5133 ## as17_sinCodificar_2 as18_2 as18_sinCodificar_2 as19_2 ## Length:6233 Min. : 910 Length:6233 Min. :-9999.000 ## Class :character 1st Qu.:5000 Class :character 1st Qu.: 3.000 ## Mode :character Median :6200 Mode :character Median : 3.000 ## Mean :6190 Mean : -4.992 ## 3rd Qu.:9100 3rd Qu.: 6.000 ## Max. :9999 Max. : 8.000 ## NA's :5132 NA's :5130 ## as19_esp_2 as19_esp_sinCodificar_2 as20_2 as21_2 ## Length:6233 Length:6233 Min. :1.000 Min. :-9999.0 ## Class :character Class :character 1st Qu.:1.000 1st Qu.: 1.0 ## Mode :character Mode :character Median :1.000 Median : 1.0 ## Mean :1.743 Mean : -613.8 ## 3rd Qu.:3.000 3rd Qu.: 3.0 ## Max. :4.000 Max. : 3.0 ## NA's :5130 NA's :5130 ## as22_2 as22_esp_2 as22_esp_sinCodificar_2 IdPersona_3 ## Min. :-9999.0 Length:6233 Length:6233 Min. : 1.00 ## 1st Qu.: 1.0 Class :character Class :character 1st Qu.: 35.25 ## Median : 1.0 Mode :character Mode :character Median : 77.00 ## Mean : -452.6 Mean :102.01 ## 3rd Qu.: 7.0 3rd Qu.:143.00 ## Max. : 8.0 Max. :580.00 ## NA's :5130 NA's :4515 ## IdSexo_3 Edad_3 as3_3 as4_3 ## Min. :1.00 Min. :18.00 Min. :2.000 Min. :-9999.000 ## 1st Qu.:2.00 1st Qu.:39.00 1st Qu.:2.000 1st Qu.: 1.000 ## Median :2.00 Median :50.00 Median :2.000 Median : 1.000 ## Mean :1.81 Mean :49.85 Mean :2.008 Mean : -9.334 ## 3rd Qu.:2.00 3rd Qu.:60.00 3rd Qu.:2.000 3rd Qu.: 2.000 ## Max. :2.00 Max. :96.00 Max. :3.000 Max. : 8.000 ## NA's :4515 NA's :4515 NA's :4515 NA's :4515 ## as5_3 as5_esp_3 as5_esp_sinCodificar_3 as6_3 ## Min. :-8888.0 Length:6233 Length:6233 Min. :-8888.0 ## 1st Qu.: 2.0 Class :character Class :character 1st Qu.: 3.0 ## Median : 3.0 Mode :character Mode :character Median : 3.0 ## Mean : -198.3 Mean : -152.5 ## 3rd Qu.: 5.0 3rd Qu.: 3.0 ## Max. : 8.0 Max. : 3.0 ## NA's :4515 NA's :4515 ## as7_3 as7_corr_3 as8_3 as8_corr_3 ## Min. :-9999.0 Min. :-9999.0 Min. :1.000 Min. :1.000 ## 1st Qu.: 7.0 1st Qu.: 7.0 1st Qu.:3.000 1st Qu.:3.000 ## Median : 9.0 Median : 9.0 Median :4.000 Median :4.000 ## Mean : -226.5 Mean : -226.5 Mean :4.264 Mean :4.146 ## 3rd Qu.: 11.0 3rd Qu.: 11.0 3rd Qu.:5.000 3rd Qu.:5.000 ## Max. : 14.0 Max. : 14.0 Max. :8.000 Max. :8.000 ## NA's :4515 NA's :4515 NA's :4587 NA's :4587 ## as9_3 as9_corr_3 as10_3 as10_esp_3 ## Min. :-8888.00 Min. :1.000 Min. :-9999.0 Length:6233 ## 1st Qu.: 1.00 1st Qu.:1.000 1st Qu.: 1.0 Class :character ## Median : 1.00 Median :1.000 Median : 6.0 Mode :character ## Mean : -63.64 Mean :1.368 Mean : -111.1 ## 3rd Qu.: 1.00 3rd Qu.:2.000 3rd Qu.: 6.0 ## Max. : 2.00 Max. :2.000 Max. : 11.0 ## NA's :4587 NA's :4587 NA's :4515 ## as10_esp_sinCodificar_3 as11_3 as13_3 as14_3 ## Length:6233 Min. :1.000 Min. :1.000 Min. :1.000 ## Class :character 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:2.000 ## Mode :character Median :2.000 Median :2.000 Median :2.000 ## Mean :1.966 Mean :1.656 Mean :1.972 ## 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:2.000 ## Max. :3.000 Max. :2.000 Max. :2.000 ## NA's :4516 NA's :4515 NA's :5106 ## as15_3 as16_3 as17_3 as17_sinCodificar_3 ## Min. :-9999.00 Min. :-9999.0 Min. : 110 Length:6233 ## 1st Qu.: 2.00 1st Qu.: 1.0 1st Qu.:3429 Class :character ## Median : 5.00 Median : 3.0 Median :5141 Mode :character ## Mean : -86.91 Mean : -631.6 Mean :5499 ## 3rd Qu.: 5.00 3rd Qu.: 5.0 3rd Qu.:7436 ## Max. : 9.00 Max. : 6.0 Max. :9999 ## NA's :5610 NA's :5610 NA's :5617 ## as18_3 as18_sinCodificar_3 as19_3 as19_esp_3 ## Min. : 110 Length:6233 Min. :1.000 Length:6233 ## 1st Qu.:6200 Class :character 1st Qu.:3.000 Class :character ## Median :7112 Mode :character Median :3.000 Mode :character ## Mean :6887 Mean :3.592 ## 3rd Qu.:9310 3rd Qu.:4.000 ## Max. :9999 Max. :8.000 ## NA's :5616 NA's :5610 ## as19_esp_sinCodificar_3 as20_3 as21_3 as22_3 ## Length:6233 Min. :1.000 Min. :-9999.0 Min. :-9999.0 ## Class :character 1st Qu.:1.000 1st Qu.: 1.0 1st Qu.: 1.0 ## Mode :character Median :1.000 Median : 1.0 Median : 1.0 ## Mean :1.785 Mean : -702.8 Mean : -416.2 ## 3rd Qu.:3.000 3rd Qu.: 3.0 3rd Qu.: 7.0 ## Max. :4.000 Max. : 3.0 Max. : 8.0 ## NA's :5610 NA's :5610 NA's :5610 ## as27 as28 as29 as29_esp ## Min. : -9999 Min. :-9999 Min. :-9999.000 Length:6233 ## 1st Qu.: 120000 1st Qu.: 3 1st Qu.: 1.000 Class :character ## Median : 280000 Median : 5 Median : 1.000 Mode :character ## Mean : 387934 Mean :-1513 Mean : -7.939 ## 3rd Qu.: 500000 3rd Qu.: 7 3rd Qu.: 1.000 ## Max. :16000000 Max. : 11 Max. : 7.000 ## ## as29_esp_sinCodificar as30 as31 as32 ## Length:6233 Min. :-9999.000 Min. :-9999.00 Min. :1.000 ## Class :character 1st Qu.: 1.000 1st Qu.: 1.00 1st Qu.:1.000 ## Mode :character Median : 1.000 Median : 1.00 Median :1.000 ## Mean : -9.487 Mean : -13.96 Mean :1.062 ## 3rd Qu.: 1.000 3rd Qu.: 1.00 3rd Qu.:1.000 ## Max. : 3.000 Max. : 8.00 Max. :7.000 ## ## as32_esp as32_esp_sinCodificar as33 as34 ## Length:6233 Length:6233 Min. :-9999.00 Min. :-9999.00 ## Class :character Class :character 1st Qu.: 1.00 1st Qu.: 1.00 ## Mode :character Mode :character Median : 1.00 Median : 3.00 ## Mean : -3.45 Mean : -24.18 ## 3rd Qu.: 1.00 3rd Qu.: 3.00 ## Max. : 8.00 Max. : 8.00 ## ## as35_1 as35_2 as36 as37 ## Min. : 0.000 Min. : 0.000 Min. : 1.000 Min. :-9999.0 ## 1st Qu.: 2.000 1st Qu.: 1.000 1st Qu.: 1.000 1st Qu.: 2.0 ## Median : 3.000 Median : 1.000 Median : 2.000 Median : 3.0 ## Mean : 2.762 Mean : 1.213 Mean : 1.897 Mean : -131.9 ## 3rd Qu.: 3.000 3rd Qu.: 1.000 3rd Qu.: 2.000 3rd Qu.: 3.0 ## Max. :15.000 Max. :15.000 Max. :10.000 Max. : 8.0 ## ## as38 as39 as22_esp_3 ## Min. :-9999.00 Min. :-9999.00 Length:6233 ## 1st Qu.: 2.00 1st Qu.: 1.00 Class :character ## Median : 2.00 Median : 2.00 Mode :character ## Mean : -82.05 Mean : -71.73 ## 3rd Qu.: 3.00 3rd Qu.: 2.00 ## Max. : 6.00 Max. : 6.00 ## ## as22_esp_sinCodificar_3 n_per h6_v7 h7_v7 ## Length:6233 Min. : 1.000 Min. :1.000 Min. :1.000 ## Class :character 1st Qu.: 1.000 1st Qu.:1.000 1st Qu.:1.000 ## Mode :character Median : 2.000 Median :1.000 Median :1.000 ## Mean : 2.767 Mean :1.491 Mean :1.617 ## 3rd Qu.: 4.000 3rd Qu.:2.000 3rd Qu.:2.000 ## Max. :15.000 Max. :3.000 Max. :5.000 ## NA's :4009 NA's :3993 ## h8_v7 h8_esp_v7 h8_esp_sinCodificar_v7 h9_1_v7 ## Min. :1.000 Length:6233 Length:6233 Min. :-9999.0 ## 1st Qu.:1.000 Class :character Class :character 1st Qu.: 1.0 ## Median :1.000 Mode :character Mode :character Median : 1.0 ## Mean :1.518 Mean : -709.5 ## 3rd Qu.:2.000 3rd Qu.: 2.0 ## Max. :5.000 Max. : 24.0 ## NA's :3993 NA's :4201 ## h9_2_v7 h9_3_v7 h10_1_v7 h10_1_esp_v7 ## Min. :-9999.0 Min. :-9999.0 Min. :-9999 Length:6233 ## 1st Qu.: 0.0 1st Qu.: 0.0 1st Qu.: 1 Class :character ## Median : 1.0 Median : 0.0 Median : 1 Mode :character ## Mean : -751.8 Mean : -775.3 Mean :-1835 ## 3rd Qu.: 2.0 3rd Qu.: 1.0 3rd Qu.: 2 ## Max. : 24.0 Max. : 24.0 Max. : 3 ## NA's :4199 NA's :4199 NA's :5720 ## h10_1_esp_sinCodificar_v7 h10a_1_v7 h10b_1_v7 ## Length:6233 Min. :-8888.00 Min. : 1.000 ## Class :character 1st Qu.: 1.00 1st Qu.: 1.000 ## Mode :character Median : 1.00 Median : 3.000 ## Mean : -71.83 Mean : 3.941 ## 3rd Qu.: 1.00 3rd Qu.: 7.000 ## Max. : 7.00 Max. :10.000 ## NA's :5990 NA's :6115 ## h10b_1_esp_v7 h10b_1_esp_sinCodificar_v7 h10_2_v7 ## Length:6233 Length:6233 Min. :-9999 ## Class :character Class :character 1st Qu.:-8888 ## Mode :character Mode :character Median : 1 ## Mean :-2565 ## 3rd Qu.: 2 ## Max. : 3 ## NA's :5630 ## h10_2_esp_v7 h10_2_esp_sinCodificar_v7 h10a_2_v7 h10b_2_v7 ## Length:6233 Length:6233 Min. :1.00 Min. : 1.000 ## Class :character Class :character 1st Qu.:1.00 1st Qu.: 1.000 ## Mode :character Mode :character Median :1.00 Median : 5.000 ## Mean :1.25 Mean : 4.726 ## 3rd Qu.:1.00 3rd Qu.: 8.000 ## Max. :7.00 Max. :10.000 ## NA's :6021 NA's :6138 ## h10b_2_esp_v7 h10b_2_esp_sinCodificar_v7 h10_3_v7 ## Length:6233 Length:6233 Min. :-9999 ## Class :character Class :character 1st Qu.:-8888 ## Mode :character Mode :character Median : 1 ## Mean :-2543 ## 3rd Qu.: 2 ## Max. : 3 ## NA's :5292 ## h10_3_esp_v7 h10_3_esp_sinCodificar_v7 h10a_3_v7 h10b_3_v7 ## Length:6233 Length:6233 Min. :1.000 Min. :-8888.0 ## Class :character Class :character 1st Qu.:1.000 1st Qu.: 1.0 ## Mode :character Mode :character Median :1.000 Median : 7.0 ## Mean :1.202 Mean : -100.7 ## 3rd Qu.:1.000 3rd Qu.: 8.0 ## Max. :7.000 Max. : 10.0 ## NA's :5887 NA's :6065 ## h10b_3_esp_v7 h10b_3_esp_sinCodificar_v7 FechaInicioF2 ## Length:6233 Length:6233 Min. :2016-09-07 ## Class :character Class :character 1st Qu.:2016-10-21 ## Mode :character Mode :character Median :2016-11-15 ## Mean :2016-11-16 ## 3rd Qu.:2016-12-09 ## Max. :2017-03-20 ## NA's :713 ## m1p0 m1p1 m1p2 m1p3_1 ## Min. :1.00 Min. :1.000 Min. :1.000 Min. :-9999.0 ## 1st Qu.:1.00 1st Qu.:1.000 1st Qu.:1.000 1st Qu.: 1.0 ## Median :1.00 Median :1.000 Median :1.000 Median : 1.0 ## Mean :1.13 Mean :1.205 Mean :1.658 Mean : -104.4 ## 3rd Qu.:1.00 3rd Qu.:1.000 3rd Qu.:3.000 3rd Qu.: 1.0 ## Max. :2.00 Max. :3.000 Max. :3.000 Max. : 2.0 ## NA's :5994 NA's :5159 NA's :713 NA's :5095 ## m1p3_2 m1p3_2_esp m1p3_2_esp_sinCodificar m1p4 ## Min. :1.000 Length:6233 Length:6233 Min. :1.000 ## 1st Qu.:1.000 Class :character Class :character 1st Qu.:2.000 ## Median :1.000 Mode :character Mode :character Median :2.000 ## Mean :1.143 Mean :1.891 ## 3rd Qu.:1.000 3rd Qu.:2.000 ## Max. :2.000 Max. :2.000 ## NA's :5153 NA's :5309 ## m1p5 m1p6 m1p7 m1p8 ## Min. :1.000 Min. :1.0 Min. :1.000 Min. :1.000 ## 1st Qu.:2.000 1st Qu.:2.0 1st Qu.:2.000 1st Qu.:1.000 ## Median :2.000 Median :2.0 Median :2.000 Median :1.000 ## Mean :1.976 Mean :1.9 Mean :1.992 Mean :1.992 ## 3rd Qu.:2.000 3rd Qu.:2.0 3rd Qu.:2.000 3rd Qu.:3.000 ## Max. :2.000 Max. :2.0 Max. :2.000 Max. :7.000 ## NA's :5430 NA's :5430 NA's :5511 NA's :5095 ## m2p1 m2p2 m2p3 m2p3_1 ## Min. :-8888.000 Min. :1.000 Min. :18000 Min. :-8888 ## 1st Qu.: 1.000 1st Qu.:2.000 1st Qu.:25200 1st Qu.:-7777 ## Median : 2.000 Median :2.000 Median :28800 Median :-7777 ## Mean : -7.942 Mean :2.237 Mean :28753 Mean :-7233 ## 3rd Qu.: 2.000 3rd Qu.:3.000 3rd Qu.:32400 3rd Qu.:-6666 ## Max. : 2.000 Max. :3.000 Max. :43920 Max. : 12 ## NA's :713 NA's :4691 NA's :6048 NA's :713 ## m2p3_2 m2p4 m2p5_1 m2p5_2 ## Min. :-8888 Min. :1.000 Min. :2016-09-06 Min. :-8888.000 ## 1st Qu.:-7777 1st Qu.:3.000 1st Qu.:2016-10-20 1st Qu.: 2.000 ## Median :-7777 Median :3.000 Median :2016-11-14 Median : 2.000 ## Mean :-7225 Mean :2.946 Mean :2016-11-15 Mean : 0.461 ## 3rd Qu.:-6666 3rd Qu.:3.000 3rd Qu.:2016-12-07 3rd Qu.: 2.000 ## Max. : 50 Max. :3.000 Max. :2017-02-27 Max. : 3.000 ## NA's :713 NA's :713 NA's :713 NA's :713 ## m2p5_3 m2p6 m2p7 m2p7_1 ## Min. :1.000 Min. :-8888.00 Length:6233 Min. :10.00 ## 1st Qu.:2.000 1st Qu.: 2.00 Class :character 1st Qu.:26.00 ## Median :2.000 Median : 2.00 Mode :character Median :28.00 ## Mean :2.041 Mean : -57.74 Mean :28.29 ## 3rd Qu.:2.000 3rd Qu.: 2.00 3rd Qu.:30.00 ## Max. :3.000 Max. : 2.00 Max. :63.00 ## NA's :713 NA's :713 NA's :713 ## m2p7_2 m2p7a m2p8_1 m2p8_2 ## Min. :0.000 Min. :1 Min. :-9999.0 Min. :-9999.00 ## 1st Qu.:0.000 1st Qu.:1 1st Qu.: 113.0 1st Qu.: 67.00 ## Median :2.000 Median :1 Median : 124.0 Median : 74.00 ## Mean :2.933 Mean :1 Mean : 123.9 Mean : 70.18 ## 3rd Qu.:5.000 3rd Qu.:1 3rd Qu.: 141.0 3rd Qu.: 82.00 ## Max. :9.000 Max. :1 Max. : 237.0 Max. : 134.00 ## NA's :713 NA's :5083 NA's :714 NA's :714 ## m2p8_3 m2p9_1 m2p9_2 m2p9_3 ## Min. :-9999.00 Min. :-9999.0 Min. :-9999.00 Min. :-9999.00 ## 1st Qu.: 61.00 1st Qu.: 111.0 1st Qu.: 67.00 1st Qu.: 61.00 ## Median : 68.00 Median : 122.0 Median : 74.00 Median : 67.00 ## Mean : 63.42 Mean : 121.7 Mean : 69.57 Mean : 63.24 ## 3rd Qu.: 75.00 3rd Qu.: 138.0 3rd Qu.: 81.00 3rd Qu.: 75.00 ## Max. : 131.00 Max. : 235.0 Max. : 131.00 Max. : 131.00 ## NA's :714 NA's :714 NA's :714 NA's :714 ## m2p10_1 m2p10_2 m2p10_3 m2p11a_PAS ## Min. :-9999.0 Min. :-9999.00 Min. :-9999.00 Min. :-9999.0 ## 1st Qu.: 111.0 1st Qu.: 67.00 1st Qu.: 61.00 1st Qu.: 112.0 ## Median : 122.0 Median : 74.00 Median : 67.00 Median : 122.7 ## Mean : 121.3 Mean : 69.41 Mean : 63.24 Mean : 122.3 ## 3rd Qu.: 138.0 3rd Qu.: 81.00 3rd Qu.: 74.00 3rd Qu.: 138.7 ## Max. : 235.0 Max. : 129.00 Max. : 130.00 Max. : 234.3 ## NA's :714 NA's :714 NA's :714 NA's :714 ## m2p11a_PAD mgstp1 mgstp1_esp mgstp1_esp_sinCodificar ## Min. :-9999.00 Min. :1.000 Length:6233 Length:6233 ## 1st Qu.: 67.33 1st Qu.:1.000 Class :character Class :character ## Median : 74.00 Median :1.000 Mode :character Mode :character ## Mean : 69.72 Mean :1.106 ## 3rd Qu.: 81.00 3rd Qu.:1.000 ## Max. : 131.00 Max. :2.000 ## NA's :714 NA's :5960 ## mgstp2 mgstp2_esp mgstp3 mgstp4 ## Min. :1.000 Length:6233 Min. :1.000 Min. : 0.0 ## 1st Qu.:2.000 Class :character 1st Qu.:2.000 1st Qu.:14.0 ## Median :2.000 Mode :character Median :2.000 Median :20.0 ## Mean :1.955 Mean :2.004 Mean :23.3 ## 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:30.0 ## Max. :2.000 Max. :3.000 Max. :80.0 ## NA's :5989 NA's :5989 NA's :5995 ## mgstp5 mgstp6 mgstp7 mgstp8 ## Min. : 0.00 Min. : 0.00 Min. : 2.00 Min. : 2.00 ## 1st Qu.:16.00 1st Qu.:14.25 1st Qu.:13.25 1st Qu.:12.50 ## Median :20.00 Median :20.00 Median :14.50 Median :16.00 ## Mean :23.74 Mean :23.34 Mean :13.83 Mean :14.83 ## 3rd Qu.:30.00 3rd Qu.:28.00 3rd Qu.:18.00 3rd Qu.:19.50 ## Max. :82.00 Max. :90.00 Max. :20.00 Max. :23.00 ## NA's :5995 NA's :5995 NA's :6227 NA's :6227 ## mgstp9 m3p1 m3p2 m3p3 ## Min. : 2.00 Min. :-9999.00 Min. :1.000 Min. :1.000 ## 1st Qu.:13.00 1st Qu.: 85.00 1st Qu.:1.000 1st Qu.:1.000 ## Median :17.00 Median : 92.00 Median :2.000 Median :1.000 ## Mean :15.33 Mean : 15.31 Mean :1.711 Mean :1.033 ## 3rd Qu.:21.00 3rd Qu.: 102.00 3rd Qu.:2.000 3rd Qu.:1.000 ## Max. :22.00 Max. : 497.00 Max. :3.000 Max. :3.000 ## NA's :6227 NA's :717 NA's :717 NA's :717 ## m3p3_esp m3p3_esp_sinCodificar m3p4 m3p4a ## Length:6233 Length:6233 Min. :18120 Min. :1 ## Class :character Class :character 1st Qu.:28260 1st Qu.:1 ## Mode :character Mode :character Median :31920 Median :1 ## Mean :32028 Mean :1 ## 3rd Qu.:35280 3rd Qu.:1 ## Max. :54420 Max. :1 ## NA's :848 NA's :848 ## m3p5 m3p5_esp m3p5_esp_sinCodificar m3p6 ## Min. :1.000 Length:6233 Length:6233 Min. :1.000 ## 1st Qu.:1.000 Class :character Class :character 1st Qu.:1.000 ## Median :1.000 Mode :character Mode :character Median :1.000 ## Mean :1.076 Mean :1.053 ## 3rd Qu.:1.000 3rd Qu.:1.000 ## Max. :3.000 Max. :3.000 ## NA's :851 NA's :5420 ## m3p6_esp m3p6_esp_sinCodificar m3p6_1_esp ## Length:6233 Length:6233 Length:6233 ## Class :character Class :character Class :character ## Mode :character Mode :character Mode :character ## ## ## ## ## m3p6_1_esp_sinCodificar m3p6_1 m3p7 m3p7_esp ## Length:6233 Min. :1.000 Min. :1.00 Length:6233 ## Class :character 1st Qu.:1.000 1st Qu.:1.00 Class :character ## Mode :character Median :1.000 Median :2.00 Mode :character ## Mean :1.051 Mean :1.76 ## 3rd Qu.:1.000 3rd Qu.:2.00 ## Max. :3.000 Max. :3.00 ## NA's :1661 NA's :848 ## m3p7_esp_sinCodificar m3p8 m3p8_esp m3p8_esp_sinCodificar ## Length:6233 Min. :1.000 Length:6233 Length:6233 ## Class :character 1st Qu.:1.000 Class :character Class :character ## Mode :character Median :1.000 Mode :character Mode :character ## Mean :1.491 ## 3rd Qu.:2.000 ## Max. :3.000 ## NA's :848 ## m3p9 m3p9_esp m3p9_esp_sinCodificar m3p10 ## Min. :1.000 Length:6233 Length:6233 Min. :1.000 ## 1st Qu.:1.000 Class :character Class :character 1st Qu.:1.000 ## Median :1.000 Mode :character Mode :character Median :1.000 ## Mean :1.367 Mean :1.088 ## 3rd Qu.:2.000 3rd Qu.:1.000 ## Max. :3.000 Max. :3.000 ## NA's :848 NA's :4406 ## m3p10_esp m3p10_esp_sinCodificar m3p11 m3p11_esp ## Length:6233 Length:6233 Min. :1.000 Length:6233 ## Class :character Class :character 1st Qu.:1.000 Class :character ## Mode :character Mode :character Median :2.000 Mode :character ## Mean :1.707 ## 3rd Qu.:2.000 ## Max. :3.000 ## NA's :848 ## m3p11_esp_sinCodificar m3p12 m3p12_esp ## Length:6233 Min. :1.000 Length:6233 ## Class :character 1st Qu.:1.000 Class :character ## Mode :character Median :1.000 Mode :character ## Mean :1.363 ## 3rd Qu.:2.000 ## Max. :3.000 ## NA's :848 ## m3p12_esp_sinCodificar m3p13 m3p13_esp ## Length:6233 Min. :1.000 Length:6233 ## Class :character 1st Qu.:1.000 Class :character ## Mode :character Median :1.000 Mode :character ## Mean :1.098 ## 3rd Qu.:1.000 ## Max. :3.000 ## NA's :848 ## m3p13_esp_sinCodificar m4p1 m4p1_1 ## Length:6233 Min. :-9999.00 Min. :-9999.00 ## Class :character 1st Qu.: 62.80 1st Qu.: 62.00 ## Mode :character Median : 72.20 Median : 72.00 ## Mean : 19.04 Mean : 18.61 ## 3rd Qu.: 83.10 3rd Qu.: 83.00 ## Max. : 148.80 Max. : 148.00 ## NA's :713 NA's :713 ## m4p1_2 m4p2 m4p2_1 m4p2_2 ## Min. :-9999.00 Min. :-9999.0 Min. :-9999.0 Min. :-9999.00 ## 1st Qu.: 2.00 1st Qu.: 153.0 1st Qu.: 153.0 1st Qu.: 0.00 ## Median : 4.00 Median : 159.2 Median : 159.0 Median : 3.00 ## Mean : -50.27 Mean : 115.1 Mean : 114.8 Mean : -40.85 ## 3rd Qu.: 7.00 3rd Qu.: 166.5 3rd Qu.: 166.0 3rd Qu.: 5.00 ## Max. : 9.00 Max. : 198.6 Max. : 198.0 Max. : 9.00 ## NA's :713 NA's :713 NA's :713 NA's :713 ## m4p3 m4p3_1 m4p3_2 m4p4 ## Min. :-9999.00 Min. :-9999.00 Min. :-9999.00 Min. :-9999.00 ## 1st Qu.: 84.40 1st Qu.: 84.00 1st Qu.: 0.00 1st Qu.: 32.50 ## Median : 93.50 Median : 93.00 Median : 3.00 Median : 35.10 ## Mean : 63.76 Mean : 63.46 Mean : -26.88 Mean : -84.52 ## 3rd Qu.: 102.60 3rd Qu.: 102.00 3rd Qu.: 5.00 3rd Qu.: 37.60 ## Max. : 180.50 Max. : 180.00 Max. : 9.00 Max. : 93.70 ## NA's :736 NA's :736 NA's :736 NA's :4484 ## m4p4_1 m4p4_2 m5p1 m5p3 ## Min. :-9999.00 Min. :-9999.0 Min. :1.000 Min. : 0.00 ## 1st Qu.: 32.00 1st Qu.: 0.0 1st Qu.:3.000 1st Qu.: 4.00 ## Median : 35.00 Median : 3.0 Median :4.000 Median :12.00 ## Mean : -84.83 Mean : -116.2 Mean :3.332 Mean : 9.33 ## 3rd Qu.: 37.00 3rd Qu.: 5.0 3rd Qu.:4.000 3rd Qu.:14.00 ## Max. : 93.00 Max. : 9.0 Max. :4.000 Max. :16.00 ## NA's :4484 NA's :4484 NA's :713 NA's :713 ## m5p4 m5p5 m5p6 m5p7 ## Min. :1.000 Min. : 0.0000 Min. : 0.00 Min. :1.000 ## 1st Qu.:1.000 1st Qu.: 0.0000 1st Qu.: 8.00 1st Qu.:1.000 ## Median :2.000 Median : 0.0000 Median :12.00 Median :2.000 ## Mean :1.591 Mean : 0.7217 Mean :10.41 Mean :1.724 ## 3rd Qu.:2.000 3rd Qu.: 1.0000 3rd Qu.:14.00 3rd Qu.:2.000 ## Max. :2.000 Max. :16.0000 Max. :16.00 Max. :2.000 ## NA's :713 NA's :713 NA's :713 NA's :713 ## m5p8 m5p9 m5p10 m6p1 ## Min. : 0.0000 Min. :1.000 Min. :1.00 Min. :-8888.0 ## 1st Qu.: 0.0000 1st Qu.:1.000 1st Qu.:1.00 1st Qu.: 12.0 ## Median : 0.0000 Median :1.000 Median :1.00 Median : 13.0 ## Mean : 0.6486 Mean :1.051 Mean :1.05 Mean : -315.4 ## 3rd Qu.: 1.0000 3rd Qu.:1.000 3rd Qu.:1.00 3rd Qu.: 14.0 ## Max. :16.0000 Max. :2.000 Max. :2.00 Max. : 26.0 ## NA's :713 NA's :4682 NA's :5567 NA's :2817 ## m6p2 m6p3 m6p4 m6p5 ## Min. :1.000 Min. :-9999.0 Min. :1.000 Min. :1.000 ## 1st Qu.:1.000 1st Qu.: 1.0 1st Qu.:2.000 1st Qu.:1.000 ## Median :1.000 Median : 2.0 Median :2.000 Median :1.000 ## Mean :1.162 Mean : -308.4 Mean :1.888 Mean :1.268 ## 3rd Qu.:1.000 3rd Qu.: 4.0 3rd Qu.:2.000 3rd Qu.:2.000 ## Max. :2.000 Max. : 4.0 Max. :2.000 Max. :2.000 ## NA's :2816 NA's :3370 NA's :3370 NA's :5912 ## m6p6 m6p7 m6p8 m6p9 ## Min. :1.000 Min. :-9999.0 Min. :1.00 Min. : 1.000 ## 1st Qu.:1.000 1st Qu.: 1.0 1st Qu.:1.00 1st Qu.: 2.000 ## Median :1.000 Median : 2.0 Median :1.00 Median : 3.000 ## Mean :1.465 Mean : -285.2 Mean :1.15 Mean : 3.387 ## 3rd Qu.:2.000 3rd Qu.: 4.0 3rd Qu.:1.00 3rd Qu.: 4.000 ## Max. :2.000 Max. : 4.0 Max. :2.00 Max. :16.000 ## NA's :2816 NA's :4406 NA's :2816 NA's :3328 ## m6p10 m6p11 m6p11a m6p12 ## Min. : 0.000 Min. : 0.00 Min. :1900-01-01 Min. :1957-05-01 ## 1st Qu.: 2.000 1st Qu.: 0.00 1st Qu.:1980-05-03 1st Qu.:2003-05-01 ## Median : 2.000 Median : 0.00 Median :1994-02-02 Median :2016-05-01 ## Mean : 2.874 Mean : 0.54 Mean :1989-04-16 Mean :2009-01-17 ## 3rd Qu.: 4.000 3rd Qu.: 1.00 3rd Qu.:2008-07-07 3rd Qu.:2016-10-01 ## Max. :16.000 Max. :10.00 Max. :2016-11-18 Max. :2017-01-01 ## NA's :3328 NA's :3328 NA's :3360 NA's :3350 ## m6p12_1 m6p12_2 m6p13 m6p14 ## Min. :-9999 Min. :-9999.0 Min. :-9999 Min. :-9999 ## 1st Qu.: 2 1st Qu.: 1992.0 1st Qu.:-8888 1st Qu.: 2 ## Median : 8 Median : 2014.0 Median :-8888 Median : 4 ## Mean :-1368 Mean : 302.5 Mean :-8947 Mean :-1528 ## 3rd Qu.: 10 3rd Qu.: 2016.0 3rd Qu.:-8888 3rd Qu.: 5 ## Max. : 12 Max. : 2017.0 Max. :-8888 Max. : 6 ## NA's :2816 NA's :2818 NA's :5702 NA's :5702 ## m6p15 m6p15_esp m6p15_esp_sinCodificar m6p16 ## Min. :-9999.0 Length:6233 Length:6233 Min. :-9999.0 ## 1st Qu.: 7.0 Class :character Class :character 1st Qu.: 1.0 ## Median : 7.0 Mode :character Mode :character Median : 2.0 ## Mean : -437.8 Mean : -236.3 ## 3rd Qu.: 7.0 3rd Qu.: 2.0 ## Max. : 8.0 Max. : 2.0 ## NA's :4378 NA's :4417 ## m6p17 m7p1 m7p2 m7p3 ## Min. :-9999.0 Min. :1.000 Min. :1.000 Min. :1.000 ## 1st Qu.: 2.0 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:4.000 ## Median : 2.0 Median :2.000 Median :1.000 Median :4.000 ## Mean : -231.9 Mean :1.766 Mean :1.351 Mean :4.234 ## 3rd Qu.: 2.0 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:5.000 ## Max. : 2.0 Max. :3.000 Max. :2.000 Max. :5.000 ## NA's :4417 NA's :714 NA's :714 NA's :2654 ## m7p4 m7p4_esp m7p4_esp_sinCodificar m7p5 ## Min. :-8888.0 Length:6233 Length:6233 Min. :1.000 ## 1st Qu.: 1.0 Class :character Class :character 1st Qu.:1.000 ## Median : 2.0 Mode :character Mode :character Median :1.000 ## Mean : -89.5 Mean :1.252 ## 3rd Qu.: 3.0 3rd Qu.:2.000 ## Max. : 32.0 Max. :2.000 ## NA's :2655 NA's :2654 ## m7p6 m7p7a m7p7b m7p8a ## Min. :1.000 Min. :-8888.0 Min. :-9999.0 Min. :-9999.00 ## 1st Qu.:1.000 1st Qu.: 1.0 1st Qu.: 2.0 1st Qu.: 0.00 ## Median :1.000 Median : 3.0 Median : 5.0 Median : 0.00 ## Mean :1.374 Mean : -174.6 Mean : -815.3 Mean : -93.75 ## 3rd Qu.:2.000 3rd Qu.: 5.0 3rd Qu.: 8.0 3rd Qu.: 2.00 ## Max. :2.000 Max. : 60.0 Max. : 50.0 Max. : 30.00 ## NA's :3556 NA's :2654 NA's :723 NA's :4713 ## m7p8b m7p9 m7p10a m7p10b ## Min. :-9999.00 Min. :1.000 Min. :1.000 Min. : 1.000 ## 1st Qu.: 0.00 1st Qu.:1.000 1st Qu.:1.000 1st Qu.: 1.000 ## Median : 0.00 Median :2.000 Median :1.000 Median : 2.000 ## Mean : -45.59 Mean :2.018 Mean :1.654 Mean : 2.897 ## 3rd Qu.: 1.00 3rd Qu.:3.000 3rd Qu.:2.000 3rd Qu.: 4.000 ## Max. : 30.00 Max. :5.000 Max. :5.000 Max. :50.000 ## NA's :4452 NA's :714 NA's :2709 NA's :2709 ## m7p11a m7p11b m7p11c m7p12 ## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 ## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 ## Median :2.000 Median :1.000 Median :1.000 Median :1.000 ## Mean :1.919 Mean :1.674 Mean :1.476 Mean :1.151 ## 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:1.000 ## Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000 ## NA's :2879 NA's :2709 NA's :2709 NA's :2709 ## m7p13 m7p14 m7p15 m7p16 m7p17 ## Min. :1.000 Min. :1.00 Min. :1.000 Min. :1.000 Min. :1.000 ## 1st Qu.:1.000 1st Qu.:1.00 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 ## Median :1.000 Median :1.00 Median :1.000 Median :1.000 Median :1.000 ## Mean :1.116 Mean :1.06 Mean :1.186 Mean :1.124 Mean :1.028 ## 3rd Qu.:1.000 3rd Qu.:1.00 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:1.000 ## Max. :5.000 Max. :5.00 Max. :5.000 Max. :5.000 Max. :3.000 ## NA's :2709 NA's :2709 NA's :2709 NA's :2709 NA's :714 ## m7p18 m8p1 m8p2 m8p3 ## Min. :1.000 Min. :1.000 Min. :-8888.0 Min. :-8888.00 ## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.: 2.0 1st Qu.: 2.00 ## Median :1.000 Median :1.000 Median : 2.0 Median : 2.00 ## Mean :1.101 Mean :1.456 Mean : -35.1 Mean : -33.52 ## 3rd Qu.:1.000 3rd Qu.:2.000 3rd Qu.: 2.0 3rd Qu.: 2.00 ## Max. :3.000 Max. :3.000 Max. : 2.0 Max. : 2.00 ## NA's :714 NA's :714 NA's :714 NA's :714 ## m8p4 m8p5 m8p6 m8p7 ## Min. :-8888.00 Min. :-8888.00 Min. :-8888 Min. :-8888.00 ## 1st Qu.: 2.00 1st Qu.: 2.00 1st Qu.: 2003 1st Qu.: 2.00 ## Median : 3.00 Median : 2.00 Median : 2011 Median : 2.00 ## Mean : -29.71 Mean : -32.07 Mean : 1026 Mean : -25.46 ## 3rd Qu.: 3.00 3rd Qu.: 2.00 3rd Qu.: 2014 3rd Qu.: 2.00 ## Max. : 3.00 Max. : 2.00 Max. : 2016 Max. : 2.00 ## NA's :714 NA's :714 NA's :4914 NA's :714 ## m8p8 m8p9 m8p10 m8p11 ## Min. :-8888.0 Min. :-8888.00 Min. :-8888.00 Min. :1.000 ## 1st Qu.: 2005.0 1st Qu.: 1.00 1st Qu.: 1.00 1st Qu.:2.000 ## Median : 2012.0 Median : 2.00 Median : 2.00 Median :2.000 ## Mean : 970.4 Mean : -74.12 Mean : -97.01 Mean :1.821 ## 3rd Qu.: 2015.0 3rd Qu.: 2.00 3rd Qu.: 2.00 3rd Qu.:2.000 ## Max. : 2016.0 Max. : 2.00 Max. : 2.00 Max. :2.000 ## NA's :5824 NA's :714 NA's :3981 NA's :714 ## m8p12_1 m8p12_2 m8p12_3 m8p12_4 m8p12_5 ## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.00 ## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:5.00 ## Median :1.000 Median :1.000 Median :1.000 Median :1.000 Median :5.00 ## Mean :1.358 Mean :1.778 Mean :1.773 Mean :1.191 Mean :4.77 ## 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:2.000 3rd Qu.:1.000 3rd Qu.:5.00 ## Max. :6.000 Max. :6.000 Max. :6.000 Max. :6.000 Max. :6.00 ## NA's :714 NA's :714 NA's :714 NA's :714 NA's :714 ## m8p13 m8p14 m9p1A m9p1B ## Min. :1.00 Min. :-9999 Min. :-8888.00 Min. :-9999.00 ## 1st Qu.:2.00 1st Qu.: 7105 1st Qu.: 2.00 1st Qu.: 31.25 ## Median :2.00 Median : 9106 Median : 2.00 Median : 47.00 ## Mean :1.87 Mean : 9056 Mean : -39.98 Mean : -362.06 ## 3rd Qu.:2.00 3rd Qu.:11101 3rd Qu.: 2.00 3rd Qu.: 60.00 ## Max. :2.00 Max. :15202 Max. : 2.00 Max. : 90.00 ## NA's :714 NA's :5518 NA's :714 NA's :5679 ## m9p1C m9p1D m9p1E m9p2A ## Min. :-8888.00 Min. :-8888.00 Min. :-8888.00 Min. :-8888.000 ## 1st Qu.: 1.00 1st Qu.: 2.00 1st Qu.: 1.00 1st Qu.: 2.000 ## Median : 1.00 Median : 2.00 Median : 1.00 Median : 2.000 ## Mean : -90.84 Mean : -13.43 Mean : -29.37 Mean : -0.612 ## 3rd Qu.: 1.00 3rd Qu.: 2.00 3rd Qu.: 2.00 3rd Qu.: 2.000 ## Max. : 2.00 Max. : 2.00 Max. : 2.00 Max. : 2.000 ## NA's :5653 NA's :5653 NA's :5653 NA's :2814 ## m9p2B m9p2C m9p2D m9p2E ## Min. :-8888.00 Min. :1.000 Min. :-8888.0 Min. :1.000 ## 1st Qu.: 44.25 1st Qu.:1.000 1st Qu.: 1.0 1st Qu.:1.000 ## Median : 52.00 Median :1.000 Median : 1.0 Median :2.000 ## Mean : -159.38 Mean :1.047 Mean : -205.6 Mean :1.674 ## 3rd Qu.: 65.00 3rd Qu.:1.000 3rd Qu.: 1.0 3rd Qu.:2.000 ## Max. : 80.00 Max. :2.000 Max. : 2.0 Max. :2.000 ## NA's :6191 NA's :6190 NA's :6190 NA's :6190 ## m9p3A m9p3B m9p3C m9p3D ## Min. :-8888.00 Min. :-8888 Min. :-8888.0 Min. :-8888.0 ## 1st Qu.: 2.00 1st Qu.: 30 1st Qu.: 1.0 1st Qu.: 1.0 ## Median : 2.00 Median : 38 Median : 1.0 Median : 1.0 ## Mean : -16.23 Mean : -145 Mean : -84.4 Mean : -169.7 ## 3rd Qu.: 2.00 3rd Qu.: 45 3rd Qu.: 1.0 3rd Qu.: 1.0 ## Max. : 2.00 Max. : 81 Max. : 2.0 Max. : 2.0 ## NA's :2814 NA's :6136 NA's :6129 NA's :6129 ## m9p3E m9p4A m9p4B m9p4C ## Min. :1.000 Min. :-8888.000 Min. :42 Min. :-8888.0 ## 1st Qu.:2.000 1st Qu.: 2.000 1st Qu.:42 1st Qu.: 1.5 ## Median :2.000 Median : 2.000 Median :42 Median : 2.0 ## Mean :1.952 Mean : -7.665 Mean :42 Mean :-1268.1 ## 3rd Qu.:2.000 3rd Qu.: 2.000 3rd Qu.:42 3rd Qu.: 2.0 ## Max. :2.000 Max. : 2.000 Max. :42 Max. : 2.0 ## NA's :6129 NA's :714 NA's :6232 NA's :6226 ## m9p4D m9p4E m9p5A m9p5B ## Min. :-8888.0 Min. :-8888 Min. :-8888.00 Min. :48.0 ## 1st Qu.: 1.5 1st Qu.: 2 1st Qu.: 2.00 1st Qu.:57.0 ## Median : 2.0 Median : 2 Median : 2.00 Median :69.0 ## Mean :-1268.1 Mean :-1268 Mean : -10.89 Mean :64.8 ## 3rd Qu.: 2.0 3rd Qu.: 2 3rd Qu.: 2.00 3rd Qu.:72.0 ## Max. : 2.0 Max. : 2 Max. : 2.00 Max. :78.0 ## NA's :6226 NA's :6226 NA's :714 NA's :6228 ## m9p5C m9p5D m9p5E m9p6A ## Min. :-8888 Min. :-8888 Min. :-8888.0 Min. :-8888.000 ## 1st Qu.: 1 1st Qu.: 1 1st Qu.: 2.0 1st Qu.: 2.000 ## Median : 1 Median : 1 Median : 2.0 Median : 2.000 ## Mean :-2050 Mean :-1366 Mean : -681.9 Mean : -6.057 ## 3rd Qu.: 2 3rd Qu.: 2 3rd Qu.: 2.0 3rd Qu.: 2.000 ## Max. : 2 Max. : 2 Max. : 2.0 Max. : 2.000 ## NA's :6220 NA's :6220 NA's :6220 NA's :714 ## m9p6B m9p6C m9p6D m9p6E ## Min. :-8888.0 Min. :-8888.0 Min. :-8888.0 Min. :-8888.0 ## 1st Qu.: 51.0 1st Qu.: 1.0 1st Qu.: 1.0 1st Qu.: 2.0 ## Median : 64.0 Median : 1.0 Median : 1.0 Median : 2.0 ## Mean : -433.7 Mean : -385.3 Mean : -385.2 Mean : -384.6 ## 3rd Qu.: 70.0 3rd Qu.: 1.0 3rd Qu.: 1.5 3rd Qu.: 2.0 ## Max. : 86.0 Max. : 2.0 Max. : 2.0 Max. : 2.0 ## NA's :6215 NA's :6210 NA's :6210 NA's :6210 ## m9p7A m9p7B m9p7C m9p7D ## Min. :-8888.000 Min. : 8.00 Min. :-8888.0 Min. :-8888.0 ## 1st Qu.: 2.000 1st Qu.:37.00 1st Qu.: 1.0 1st Qu.: 1.0 ## Median : 2.000 Median :45.00 Median : 1.0 Median : 1.0 ## Mean : -2.838 Mean :45.69 Mean : -276.7 Mean : -276.6 ## 3rd Qu.: 2.000 3rd Qu.:55.00 3rd Qu.: 1.0 3rd Qu.: 1.0 ## Max. : 2.000 Max. :73.00 Max. : 2.0 Max. : 2.0 ## NA's :714 NA's :6204 NA's :6201 NA's :6201 ## m9p7E m9p8A m9p8A_esp m9p8A_esp_sinCodificar ## Min. :-8888.0 Min. :-8888.0 Length:6233 Length:6233 ## 1st Qu.: 1.0 1st Qu.: 2.0 Class :character Class :character ## Median : 1.0 Median : 2.0 Mode :character Mode :character ## Mean : -276.6 Mean : -10.9 ## 3rd Qu.: 1.0 3rd Qu.: 2.0 ## Max. : 2.0 Max. : 2.0 ## NA's :6201 NA's :714 ## m9p8B m9p8C m9p8D m9p8E ## Min. :-8888.00 Min. :-8888 Min. :-8888.0 Min. :-8888.0 ## 1st Qu.: 38.50 1st Qu.: 1 1st Qu.: 1.0 1st Qu.: 2.0 ## Median : 55.00 Median : 1 Median : 1.0 Median : 2.0 ## Mean : -67.92 Mean : -106 Mean : -105.8 Mean : -105.3 ## 3rd Qu.: 63.50 3rd Qu.: 1 3rd Qu.: 2.0 3rd Qu.: 2.0 ## Max. : 85.00 Max. : 2 Max. : 2.0 Max. : 2.0 ## NA's :6158 NA's :6150 NA's :6150 NA's :6150 ## m9p9A m9p9B m9p9C m9p9E ## Min. :-8888.0 Min. :-9999.0 Min. :-8888.0 Min. :-8888.0 ## 1st Qu.: 2.0 1st Qu.: 49.0 1st Qu.: 1.0 1st Qu.: 1.0 ## Median : 2.0 Median : 58.0 Median : 1.0 Median : 2.0 ## Mean : -51.2 Mean : -498.3 Mean : -203.8 Mean : -169.3 ## 3rd Qu.: 2.0 3rd Qu.: 66.0 3rd Qu.: 2.0 3rd Qu.: 2.0 ## Max. : 2.0 Max. : 89.0 Max. : 2.0 Max. : 2.0 ## NA's :714 NA's :6006 NA's :5973 NA's :5973 ## m9p10A m9p10B m9p10C m9p10D ## Min. :-8888.00 Min. :-9999.0 Min. :-8888.00 Min. :-8888.00 ## 1st Qu.: 2.00 1st Qu.: 25.0 1st Qu.: 1.00 1st Qu.: 2.00 ## Median : 2.00 Median : 40.0 Median : 2.00 Median : 2.00 ## Mean : -15.82 Mean : -685.9 Mean : -44.45 Mean : -28.89 ## 3rd Qu.: 2.00 3rd Qu.: 52.0 3rd Qu.: 2.00 3rd Qu.: 2.00 ## Max. : 2.00 Max. : 81.0 Max. : 2.00 Max. : 2.00 ## NA's :714 NA's :5664 NA's :5654 NA's :5654 ## m9p10E m9p11A m9p11B m9p11C ## Min. :-8888.00 Min. :-8888.00 Min. :-9999.0 Min. :-8888.00 ## 1st Qu.: 2.00 1st Qu.: 2.00 1st Qu.: 16.5 1st Qu.: 1.00 ## Median : 2.00 Median : 2.00 Median : 25.0 Median : 1.00 ## Mean : -13.43 Mean : -7.75 Mean : -382.8 Mean : -17.56 ## 3rd Qu.: 2.00 3rd Qu.: 2.00 3rd Qu.: 40.0 3rd Qu.: 1.00 ## Max. : 2.00 Max. : 2.00 Max. : 85.0 Max. : 2.00 ## NA's :5654 NA's :714 NA's :5766 NA's :5760 ## m9p11E m9p12A m9p12B m9p12C ## Min. :-8888.00 Min. :-8888.00 Min. :-8888.00 Min. :1.000 ## 1st Qu.: 1.00 1st Qu.: 2.00 1st Qu.: 59.00 1st Qu.:1.000 ## Median : 2.00 Median : 2.00 Median : 65.00 Median :1.000 ## Mean : -17.17 Mean : -52.54 Mean : -87.06 Mean :1.162 ## 3rd Qu.: 2.00 3rd Qu.: 2.00 3rd Qu.: 70.75 3rd Qu.:1.000 ## Max. : 2.00 Max. : 2.00 Max. : 88.00 Max. :2.000 ## NA's :5760 NA's :4275 NA's :6115 NA's :6103 ## m9p12D m9p12E m9p13A_esp m9p13A_esp_sinCodificar ## Min. :1.000 Min. :1.000 Length:6233 Length:6233 ## 1st Qu.:1.000 1st Qu.:2.000 Class :character Class :character ## Median :2.000 Median :2.000 Mode :character Mode :character ## Mean :1.523 Mean :1.777 ## 3rd Qu.:2.000 3rd Qu.:2.000 ## Max. :2.000 Max. :2.000 ## NA's :6103 NA's :6103 ## m9p13A m9p13A_A m9p13A_A_esp ## Min. :-8888.00 Min. :-8888.0 Length:6233 ## 1st Qu.: 2.00 1st Qu.: 2.0 Class :character ## Median : 2.00 Median : 2.0 Mode :character ## Mean : -25.39 Mean : -62.5 ## 3rd Qu.: 2.00 3rd Qu.: 2.0 ## Max. : 2.00 Max. : 2.0 ## NA's :714 NA's :719 ## m9p13A_A_esp_sinCodificar m9p13B m9p13C ## Length:6233 Min. :-8888.00 Min. :-8888.0 ## Class :character 1st Qu.: 18.00 1st Qu.: 1.0 ## Mode :character Median : 24.00 Median : 1.0 ## Mean : -132.57 Mean : -242.4 ## 3rd Qu.: 29.25 3rd Qu.: 1.0 ## Max. : 80.00 Max. : 2.0 ## NA's :6177 NA's :6160 ## m9p13E m9p13B_A m9p13C_A m9p13E_A ## Min. :-8888.0 Min. :-8888.00 Min. :-8888.0 Min. :-8888.0 ## 1st Qu.: 2.0 1st Qu.: 20.25 1st Qu.: 1.0 1st Qu.: 2.0 ## Median : 2.0 Median : 25.00 Median : 1.0 Median : 2.0 ## Mean : -119.9 Mean : -150.44 Mean : -591.2 Mean : -294.4 ## 3rd Qu.: 2.0 3rd Qu.: 30.00 3rd Qu.: 2.0 3rd Qu.: 2.0 ## Max. : 2.0 Max. : 65.00 Max. : 2.0 Max. : 2.0 ## NA's :6160 NA's :6183 NA's :6143 NA's :6143 ## m9p14A m9p14B m9p14C m9p14D ## Min. :-8888.00 Min. :-8888.0 Min. :-8888.0 Min. :1.00 ## 1st Qu.: 2.00 1st Qu.: 35.0 1st Qu.: 1.0 1st Qu.:2.00 ## Median : 2.00 Median : 60.0 Median : 1.0 Median :2.00 ## Mean : -14.13 Mean : -642.5 Mean : -191.9 Mean :1.92 ## 3rd Qu.: 2.00 3rd Qu.: 72.0 3rd Qu.: 2.0 3rd Qu.:2.00 ## Max. : 2.00 Max. : 91.0 Max. : 2.0 Max. :2.00 ## NA's :714 NA's :6105 NA's :6095 NA's :6095 ## m9p14E m9p15A m9p15B m9p15C ## Min. :-8888.00 Min. :-8888.00 Min. :-8888 Min. :-8888.00 ## 1st Qu.: 1.00 1st Qu.: 2.00 1st Qu.: 37 1st Qu.: 1.00 ## Median : 2.00 Median : 2.00 Median : 49 Median : 2.00 ## Mean : -62.75 Mean : -35.11 Mean : -283 Mean : -75.56 ## 3rd Qu.: 2.00 3rd Qu.: 2.00 3rd Qu.: 60 3rd Qu.: 2.00 ## Max. : 2.00 Max. : 2.00 Max. : 82 Max. : 2.00 ## NA's :6095 NA's :714 NA's :5910 NA's :5887 ## m9p15D m9p15E m9p16A m9p16B ## Min. :-8888.00 Min. :-8888.00 Min. :-8888.00 Min. :-9999.00 ## 1st Qu.: 2.00 1st Qu.: 2.00 1st Qu.: 2.00 1st Qu.: 28.25 ## Median : 2.00 Median : 2.00 Median : 2.00 Median : 42.00 ## Mean : -75.12 Mean : -49.57 Mean : -15.76 Mean : -296.68 ## 3rd Qu.: 2.00 3rd Qu.: 2.00 3rd Qu.: 2.00 3rd Qu.: 54.00 ## Max. : 2.00 Max. : 2.00 Max. : 2.00 Max. : 80.00 ## NA's :5887 NA's :5887 NA's :714 NA's :6019 ## m9p16C m9p16D m9p16E m9p17A ## Min. :-8888.00 Min. :1.000 Min. :1.000 Min. :-8888.00 ## 1st Qu.: 1.00 1st Qu.:2.000 1st Qu.:2.000 1st Qu.: 2.00 ## Median : 1.00 Median :2.000 Median :2.000 Median : 2.00 ## Mean : -38.33 Mean :1.942 Mean :1.782 Mean : -14.14 ## 3rd Qu.: 1.00 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.: 2.00 ## Max. : 2.00 Max. :2.000 Max. :2.000 Max. : 2.00 ## NA's :6008 NA's :6008 NA's :6008 NA's :714 ## m9p17B m9p17C m9p17E m9p18A ## Min. :-9999.0 Min. :-8888.00 Min. :-8888.0 Min. :-8888.00 ## 1st Qu.: 30.0 1st Qu.: 1.00 1st Qu.: 1.0 1st Qu.: 2.00 ## Median : 55.0 Median : 1.00 Median : 2.0 Median : 2.00 ## Mean : -524.1 Mean : -52.13 Mean : -51.7 Mean : -30.28 ## 3rd Qu.: 67.0 3rd Qu.: 1.00 3rd Qu.: 2.0 3rd Qu.: 2.00 ## Max. : 86.0 Max. : 2.00 Max. : 2.0 Max. : 2.00 ## NA's :6076 NA's :6066 NA's :6066 NA's :714 ## m9p18B m9p18C m9p18E m9p19A ## Min. :-9999.0 Min. :-8888.00 Min. :1.000 Min. :-8888.00 ## 1st Qu.: 8.0 1st Qu.: 1.00 1st Qu.:1.000 1st Qu.: 2.00 ## Median : 30.0 Median : 1.00 Median :1.000 Median : 2.00 ## Mean : -582.5 Mean : -46.83 Mean :1.474 Mean : -35.09 ## 3rd Qu.: 52.0 3rd Qu.: 1.00 3rd Qu.:2.000 3rd Qu.: 2.00 ## Max. : 85.0 Max. : 2.00 Max. :2.000 Max. : 2.00 ## NA's :5882 NA's :5862 NA's :5862 NA's :714 ## m9p19B m9p19C m9p19D m9p19E ## Min. :-9999 Min. :-8888.0 Min. :-8888.0 Min. :-8888.00 ## 1st Qu.: 42 1st Qu.: 1.0 1st Qu.: 2.0 1st Qu.: 1.00 ## Median : 55 Median : 1.0 Median : 2.0 Median : 2.00 ## Mean : -393 Mean : -251.6 Mean : -106.5 Mean : -70.72 ## 3rd Qu.: 63 3rd Qu.: 2.0 3rd Qu.: 2.0 3rd Qu.: 2.00 ## Max. : 89 Max. : 2.0 Max. : 2.0 Max. : 2.00 ## NA's :6010 NA's :5987 NA's :5987 NA's :5987 ## m9p20A m9p20B m9p20C m9p20D ## Min. :-8888.00 Min. :-9999 Min. :-8888 Min. :-8888.00 ## 1st Qu.: 2.00 1st Qu.: 50 1st Qu.: 1 1st Qu.: 2.00 ## Median : 2.00 Median : 60 Median : 1 Median : 2.00 ## Mean : -23.82 Mean : -431 Mean : -151 Mean : -28.59 ## 3rd Qu.: 2.00 3rd Qu.: 68 3rd Qu.: 1 3rd Qu.: 2.00 ## Max. : 2.00 Max. : 93 Max. : 2 Max. : 2.00 ## NA's :714 NA's :5957 NA's :5941 NA's :5941 ## m9p20E m9p21A m9p21B m9p21C ## Min. :-8888.00 Min. :-8888.00 Min. :-9999.0 Min. :-8888.00 ## 1st Qu.: 1.00 1st Qu.: 2.00 1st Qu.: 50.0 1st Qu.: 1.00 ## Median : 1.00 Median : 2.00 Median : 59.0 Median : 1.00 ## Mean : -28.99 Mean : -27.07 Mean : -426.3 Mean : -38.54 ## 3rd Qu.: 2.00 3rd Qu.: 2.00 3rd Qu.: 67.0 3rd Qu.: 1.00 ## Max. : 2.00 Max. : 2.00 Max. : 87.0 Max. : 2.00 ## NA's :5941 NA's :714 NA's :5804 NA's :5786 ## m9p21D m9p21E m9p22A m9p22B ## Min. :-8888.00 Min. :-8888.00 Min. :-8888.000 Min. :-9999.0 ## 1st Qu.: 2.00 1st Qu.: 1.00 1st Qu.: 2.000 1st Qu.: 28.0 ## Median : 2.00 Median : 1.00 Median : 2.000 Median : 44.0 ## Mean : -37.87 Mean : -38.29 Mean : -7.726 Mean : -495.2 ## 3rd Qu.: 2.00 3rd Qu.: 2.00 3rd Qu.: 2.000 3rd Qu.: 56.0 ## Max. : 2.00 Max. : 2.00 Max. : 2.000 Max. : 87.0 ## NA's :5786 NA's :5786 NA's :714 NA's :5898 ## m9p22C m9p22E m9p23A m9p23B ## Min. :-8888.00 Min. :-8888.00 Min. :-8888.00 Min. :-8888.00 ## 1st Qu.: 1.00 1st Qu.: 1.00 1st Qu.: 2.00 1st Qu.: 33.25 ## Median : 1.00 Median : 2.00 Median : 2.00 Median : 50.00 ## Mean : -24.86 Mean : -24.47 Mean : -12.51 Mean : -126.96 ## 3rd Qu.: 1.00 3rd Qu.: 2.00 3rd Qu.: 2.00 3rd Qu.: 58.00 ## Max. : 2.00 Max. : 2.00 Max. : 2.00 Max. : 68.00 ## NA's :5891 NA's :5891 NA's :714 NA's :6181 ## m9p23C m9p23D m9p23E m9p24A ## Min. :-8888.0 Min. :1.000 Min. :1.000 Min. :-8888.00 ## 1st Qu.: 1.0 1st Qu.:2.000 1st Qu.:2.000 1st Qu.: 2.00 ## Median : 2.0 Median :2.000 Median :2.000 Median : 2.00 ## Mean : -144.2 Mean :1.934 Mean :1.852 Mean : -19.18 ## 3rd Qu.: 2.0 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.: 2.00 ## Max. : 2.0 Max. :2.000 Max. :2.000 Max. : 2.00 ## NA's :6172 NA's :6172 NA's :6172 NA's :775 ## m9p24B m9p24C m9p24D m9p24E ## Min. : 2.00 Min. :-8888.0 Min. :-8888.0 Min. :-8888.0 ## 1st Qu.:39.75 1st Qu.: 1.0 1st Qu.: 1.0 1st Qu.: 2.0 ## Median :55.00 Median : 1.0 Median : 2.0 Median : 2.0 ## Mean :50.83 Mean : -361.5 Mean : -542.6 Mean : -723.8 ## 3rd Qu.:67.00 3rd Qu.: 2.0 3rd Qu.: 2.0 3rd Qu.: 2.0 ## Max. :79.00 Max. : 2.0 Max. : 2.0 Max. : 2.0 ## NA's :6197 NA's :6184 NA's :6184 NA's :6184 ## m10p1 m10p2 m10p3 m11p1_1_a ## Min. :1.000 Min. :1.00 Min. :1.00 Min. :-8888.0 ## 1st Qu.:1.000 1st Qu.:4.00 1st Qu.:4.00 1st Qu.: 2.0 ## Median :1.000 Median :4.00 Median :4.00 Median : 2.0 ## Mean :2.297 Mean :3.66 Mean :3.66 Mean : -81.8 ## 3rd Qu.:4.000 3rd Qu.:4.00 3rd Qu.:4.00 3rd Qu.: 2.0 ## Max. :4.000 Max. :4.00 Max. :4.00 Max. : 2.0 ## NA's :714 NA's :723 NA's :717 NA's :714 ## m11p1_1_b m11p1_1_c m11p1_1_d m11p1_1_e ## Min. :-8888 Min. :-8888 Min. :-8888 Min. :-8888.0 ## 1st Qu.: 1 1st Qu.: 1 1st Qu.: 1 1st Qu.: 1.0 ## Median : 2 Median : 1 Median : 2 Median : 1.0 ## Mean : -862 Mean :-1257 Mean :-1138 Mean : -295.2 ## 3rd Qu.: 2 3rd Qu.: 1 3rd Qu.: 2 3rd Qu.: 1.0 ## Max. : 2 Max. : 2 Max. : 3 Max. : 2.0 ## NA's :5986 NA's :6014 NA's :6038 NA's :6083 ## m11p1_2_a m11p1_2_b m11p1_2_c m11p1_2_d ## Min. :-8888.0 Min. :-8888.0 Min. :-8888.0 Min. :-8888 ## 1st Qu.: 2.0 1st Qu.: 1.0 1st Qu.: 1.0 1st Qu.: 1 ## Median : 2.0 Median : 2.0 Median : 1.0 Median : 2 ## Mean : -62.5 Mean : -361.7 Mean : -926.1 Mean :-1275 ## 3rd Qu.: 2.0 3rd Qu.: 2.0 3rd Qu.: 2.0 3rd Qu.: 2 ## Max. : 2.0 Max. : 2.0 Max. : 2.0 Max. : 3 ## NA's :714 NA's :5817 NA's :5840 NA's :5857 ## m11p1_2_e m11p1_3_a m11p1_3_b m11p1_3_c ## Min. :-8888.0 Min. :-8888.00 Min. :-8888.0 Min. :-8888.0 ## 1st Qu.: 1.0 1st Qu.: 2.00 1st Qu.: 1.0 1st Qu.: 1.0 ## Median : 1.0 Median : 2.00 Median : 2.0 Median : 1.0 ## Mean : -311.9 Mean : -49.64 Mean : -360.3 Mean : -959.8 ## 3rd Qu.: 1.0 3rd Qu.: 2.00 3rd Qu.: 2.0 3rd Qu.: 1.0 ## Max. : 2.0 Max. : 2.00 Max. : 2.0 Max. : 2.0 ## NA's :5949 NA's :714 NA's :5668 NA's :5678 ## m11p1_3_d m11p1_3_e m11p1_4_a m11p1_4_b ## Min. :-8888 Min. :-8888.0 Min. :-8888.00 Min. :-8888.0 ## 1st Qu.: 1 1st Qu.: 1.0 1st Qu.: 2.00 1st Qu.: 1.0 ## Median : 2 Median : 1.0 Median : 2.00 Median : 1.0 ## Mean :-1349 Mean : -197.3 Mean : -35.27 Mean : -122.1 ## 3rd Qu.: 2 3rd Qu.: 1.0 3rd Qu.: 2.00 3rd Qu.: 1.0 ## Max. : 3 Max. : 2.0 Max. : 2.00 Max. : 2.0 ## NA's :5700 NA's :5785 NA's :714 NA's :5007 ## m11p1_4_c m11p1_4_d m11p1_4_e m11p1_5_a ## Min. :-8888.0 Min. :-8888 Min. :-8888.0 Min. :-8888.00 ## 1st Qu.: 1.0 1st Qu.: 2 1st Qu.: 1.0 1st Qu.: 2.00 ## Median : 1.0 Median : 2 Median : 1.0 Median : 2.00 ## Mean : -450.7 Mean :-1195 Mean : -117.2 Mean : -97.92 ## 3rd Qu.: 1.0 3rd Qu.: 2 3rd Qu.: 1.0 3rd Qu.: 2.00 ## Max. : 2.0 Max. : 3 Max. : 2.0 Max. : 2.00 ## NA's :5013 NA's :5030 NA's :5181 NA's :714 ## m11p1_5_b m11p1_5_c m11p1_5_d m11p1_5_e ## Min. :-8888.0 Min. :-8888.0 Min. :-8888 Min. :-8888.0 ## 1st Qu.: 1.0 1st Qu.: 1.0 1st Qu.: 1 1st Qu.: 1.0 ## Median : 2.0 Median : 1.0 Median : 2 Median : 1.0 ## Mean : -680.1 Mean : -997.3 Mean :-1202 Mean : -144.7 ## 3rd Qu.: 2.0 3rd Qu.: 1.0 3rd Qu.: 2 3rd Qu.: 1.0 ## Max. : 2.0 Max. : 2.0 Max. : 3 Max. : 2.0 ## NA's :5920 NA's :5957 NA's :5982 NA's :6050 ## m11p1_6_a m11p1_6_b m11p1_6_c m11p1_6_d ## Min. :-8888.00 Min. :-8888 Min. :-8888 Min. :-8888 ## 1st Qu.: 2.00 1st Qu.: 1 1st Qu.: 1 1st Qu.: 1 ## Median : 2.00 Median : 2 Median : 1 Median : 2 ## Mean : -78.56 Mean :-1129 Mean :-1225 Mean :-1154 ## 3rd Qu.: 2.00 3rd Qu.: 2 3rd Qu.: 1 3rd Qu.: 2 ## Max. : 2.00 Max. : 2 Max. : 2 Max. : 3 ## NA's :714 NA's :6060 NA's :6088 NA's :6110 ## m11p1_6_e m11p1_7_a_esp1 m11p1_7_a_esp2 m11p1_7_a_esp3 ## Min. :1.000 Length:6233 Length:6233 Length:6233 ## 1st Qu.:1.000 Class :character Class :character Class :character ## Median :1.000 Mode :character Mode :character Mode :character ## Mean :1.086 ## 3rd Qu.:1.000 ## Max. :2.000 ## NA's :6140 ## m11p1_7_a_esp_sinCodificar m11p1_7_a m11p1_7_b ## Length:6233 Min. :-8888.00 Min. :-8888.0 ## Class :character 1st Qu.: 2.00 1st Qu.: 1.0 ## Mode :character Median : 2.00 Median : 2.0 ## Mean : -27.04 Mean : -289.9 ## 3rd Qu.: 2.00 3rd Qu.: 2.0 ## Max. : 2.00 Max. : 2.0 ## NA's :714 NA's :5989 ## m11p1_7_c m11p1_7_d m11p1_7_e m13p1 ## Min. :-9999.0 Min. :-8888.0 Min. :-8888.0 Min. :-9999.00 ## 1st Qu.: 1.0 1st Qu.: 2.0 1st Qu.: 1.0 1st Qu.: 1.00 ## Median : 1.0 Median : 2.0 Median : 1.0 Median : 1.00 ## Mean : -549.7 Mean : -981.5 Mean : -344.7 Mean : -71.22 ## 3rd Qu.: 1.0 3rd Qu.: 2.0 3rd Qu.: 1.0 3rd Qu.: 1.00 ## Max. : 2.0 Max. : 3.0 Max. : 2.0 Max. : 2.00 ## NA's :5999 NA's :6007 NA's :6053 NA's :714 ## m13p1b m13p2 m13p3 m13p4 ## Min. :-9999.0 Min. :-9999.0 Min. :-9999.00 Min. :-9999.00 ## 1st Qu.: 1.0 1st Qu.: 15.0 1st Qu.: 2.00 1st Qu.: 2.00 ## Median : 1.0 Median : 17.0 Median : 2.00 Median : 2.00 ## Mean : -158.4 Mean : -419.9 Mean : -50.47 Mean : -54.29 ## 3rd Qu.: 1.0 3rd Qu.: 19.0 3rd Qu.: 2.00 3rd Qu.: 2.00 ## Max. : 3.0 Max. : 60.0 Max. : 3.00 Max. : 3.00 ## NA's :1070 NA's :1071 NA's :1070 NA's :1070 ## m13p5 m13p6 m13p7 m13p8 ## Min. :-9999.00 Min. :-9999.00 Min. :-9999.0 Min. :-9999.0 ## 1st Qu.: 1.00 1st Qu.: 2.00 1st Qu.: 1.0 1st Qu.: 0.0 ## Median : 1.00 Median : 3.00 Median : 2.0 Median : 1.0 ## Mean : -60.69 Mean : -92.84 Mean : -549.3 Mean : -259.2 ## 3rd Qu.: 2.00 3rd Qu.: 3.00 3rd Qu.: 4.0 3rd Qu.: 1.0 ## Max. : 3.00 Max. : 4.00 Max. : 420.0 Max. : 30.0 ## NA's :1070 NA's :2567 NA's :1070 NA's :1070 ## m13p9 m13p9b m13p10_esp_sinCodificar m13p10 ## Min. :-9999.0 Min. :-8888.0 Length:6233 Min. : 1.000 ## 1st Qu.: 2.0 1st Qu.: 1.0 Class :character 1st Qu.: 2.000 ## Median : 2.0 Median : 1.0 Mode :character Median : 5.000 ## Mean : -200.5 Mean : -115.6 Mean : 4.801 ## 3rd Qu.: 2.0 3rd Qu.: 1.0 3rd Qu.: 6.000 ## Max. : 2.0 Max. : 2.0 Max. :11.000 ## NA's :714 NA's :5319 NA's :5319 ## m13p10_esp m13p11a m13p11b m13p11c ## Length:6233 Min. :-9999.0 Min. :-9999.0 Min. :-9999.0 ## Class :character 1st Qu.: 1.0 1st Qu.: 1.0 1st Qu.: 1.0 ## Mode :character Median : 1.0 Median : 1.0 Median : 1.0 ## Mean : -616.7 Mean : -681.6 Mean : -877.7 ## 3rd Qu.: 1.0 3rd Qu.: 1.0 3rd Qu.: 1.0 ## Max. : 2.0 Max. : 2.0 Max. : 2.0 ## NA's :714 NA's :714 NA's :714 ## m13p11d m13p11e m13p12 m13p12_esp ## Min. :-9999 Min. :-9999 Min. :-9999.00 Length:6233 ## 1st Qu.: 1 1st Qu.: 1 1st Qu.: 1.00 Class :character ## Median : 1 Median : 2 Median : 1.00 Mode :character ## Mean :-2223 Mean :-1061 Mean : -96.42 ## 3rd Qu.: 2 3rd Qu.: 2 3rd Qu.: 1.00 ## Max. : 2 Max. : 2 Max. : 4.00 ## NA's :714 NA's :714 NA's :714 ## m13p12_esp_sinCodificar m13p13_esp m13p13_esp_sinCodificar ## Length:6233 Length:6233 Length:6233 ## Class :character Class :character Class :character ## Mode :character Mode :character Mode :character ## ## ## ## ## m13p13 m12p1 m12p2 m12p2_esp ## Min. :1.000 Min. :1.000 Min. :1.000 Length:6233 ## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 Class :character ## Median :2.000 Median :1.000 Median :1.000 Mode :character ## Mean :1.636 Mean :1.229 Mean :1.158 ## 3rd Qu.:2.000 3rd Qu.:1.000 3rd Qu.:1.000 ## Max. :3.000 Max. :3.000 Max. :3.000 ## NA's :714 NA's :4442 NA's :2193 ## m12p2_esp_sinCodificar m12p3 m12p3_esp ## Length:6233 Min. :1.00 Length:6233 ## Class :character 1st Qu.:1.00 Class :character ## Mode :character Median :1.00 Mode :character ## Mean :1.31 ## 3rd Qu.:2.00 ## Max. :3.00 ## NA's :984 ## m12p3_esp_sinCodificar m12p4 m12p4_esp ## Length:6233 Min. :1.000 Length:6233 ## Class :character 1st Qu.:1.000 Class :character ## Mode :character Median :2.000 Mode :character ## Mean :1.761 ## 3rd Qu.:2.000 ## Max. :3.000 ## NA's :984 ## m12p4_esp_sinCodificar m12p5_esp_sinCodificar m12p5 ## Length:6233 Length:6233 Min. :1.000 ## Class :character Class :character 1st Qu.:1.000 ## Mode :character Mode :character Median :1.000 ## Mean :1.373 ## 3rd Qu.:2.000 ## Max. :3.000 ## NA's :984 ## m12p5_esp m12p6_esp_sinCodificar m12p6 m12p6_esp ## Length:6233 Length:6233 Min. :1.000 Length:6233 ## Class :character Class :character 1st Qu.:1.000 Class :character ## Mode :character Mode :character Median :1.000 Mode :character ## Mean :1.387 ## 3rd Qu.:2.000 ## Max. :3.000 ## NA's :984 ## m12p7 m12p7_esp m12p7_esp_sinCodificar INT53 ## Min. :1.000 Length:6233 Length:6233 Min. :1.00 ## 1st Qu.:1.000 Class :character Class :character 1st Qu.:2.00 ## Median :1.000 Mode :character Mode :character Median :2.00 ## Mean :1.367 Mean :1.95 ## 3rd Qu.:2.000 3rd Qu.:2.00 ## Max. :3.000 Max. :2.00 ## NA's :984 NA's :1154 ## Recepcion_Laboratorio Fecha_de_cierre v_25_OH_Vitamina_D2 ## Length:6233 Length:6233 Min. : 0.000 ## Class :character Class :character 1st Qu.: 0.000 ## Mode :character Mode :character Median : 0.000 ## Mean : 0.075 ## 3rd Qu.: 0.000 ## Max. :15.800 ## NA's :3347 ## aux_25_OH_Vitamina_D2 v_25_OH_Vitamina_D2_D3 v_25_OH_Vitamina_D3 ## Min. : 1.000 Min. : 1.30 Min. : 1.30 ## 1st Qu.: 1.000 1st Qu.:13.50 1st Qu.:13.30 ## Median : 1.000 Median :18.90 Median :18.90 ## Mean : 1.049 Mean :19.74 Mean :19.67 ## 3rd Qu.: 1.000 3rd Qu.:24.90 3rd Qu.:24.80 ## Max. :15.800 Max. :59.70 Max. :57.70 ## NA's :3347 NA's :3347 NA's :3347 ## Anticuerpos_Anti_Peptido_C aux_Anticuerpos_Anti_Peptido_C ## Length:6233 Min. : 1.00 ## Class :character 1st Qu.: 1.00 ## Mode :character Median : 1.00 ## Mean : 42.02 ## 3rd Qu.: 1.20 ## Max. :3000.00 ## NA's :5263 ## Anticuerpos_Anti_Peroxidasa_T aux_Anticuerpos_Anti_Peroxidasa ## Length:6233 Min. : 1.00 ## Class :character 1st Qu.: 1.00 ## Mode :character Median : 1.00 ## Mean : 67.68 ## 3rd Qu.: 1.00 ## Max. :2000.00 ## NA's :4903 ## Anticuerpos_anti_Trypanosoma_c aux_A_Anticuerpos_anti_Tryp_c_ ## Length:6233 Min. :1.000 ## Class :character 1st Qu.:2.000 ## Mode :character Median :2.000 ## Mean :1.974 ## 3rd Qu.:2.000 ## Max. :2.000 ## NA's :3252 ## aux_B_Anticuerpos_anti_Tryp_c_ Arsenico_ENS Cadmio_ENS ## Min. : 0.010 Min. : 30317 Min. : 30317 ## 1st Qu.: 0.010 1st Qu.: 7102016 1st Qu.: 7102016 ## Median : 0.020 Median :16122016 Median :16122016 ## Mean : 0.298 Mean :15595818 Mean :15637668 ## 3rd Qu.: 0.040 3rd Qu.:23122016 3rd Qu.:23122016 ## Max. :14.810 Max. :31022017 Max. :31012017 ## NA's :3253 NA's :2727 NA's :2761 ## Colesterol_HDL Colesterol_LDL_Calculado Colesterol_No_HDL_Calculado ## Min. : 16.00 Min. : 15.0 Min. : 34.0 ## 1st Qu.: 39.00 1st Qu.: 81.0 1st Qu.:105.0 ## Median : 46.00 Median :101.0 Median :130.0 ## Mean : 47.82 Mean :104.8 Mean :133.6 ## 3rd Qu.: 55.00 3rd Qu.:126.0 3rd Qu.:158.0 ## Max. :125.00 Max. :282.0 Max. :357.0 ## NA's :2518 NA's :2543 NA's :2519 ## Colesterol_Total Colesterol_VLDL_Calculado Creatinina_en_Orina ## Min. : 77.0 Min. : 4.00 Min. : 4.6 ## 1st Qu.:153.0 1st Qu.: 17.00 1st Qu.: 64.3 ## Median :178.0 Median : 24.00 Median :102.5 ## Mean :181.4 Mean : 28.26 Mean :117.1 ## 3rd Qu.:206.0 3rd Qu.: 34.00 3rd Qu.:156.0 ## Max. :410.0 Max. :227.00 Max. :530.1 ## NA's :2518 NA's :2543 NA's :1632 ## Creatinina_en_Sangre Factor_Reumatoideo aux_Factor_Reumatoideo Folato_Serico ## Min. : 0.3200 Length:6233 Min. : 10.00 Min. : 2.10 ## 1st Qu.: 0.6300 Class :character 1st Qu.: 10.00 1st Qu.:11.70 ## Median : 0.7400 Mode :character Median : 10.00 Median :13.90 ## Mean : 0.7842 Mean : 31.68 Mean :14.47 ## 3rd Qu.: 0.8700 3rd Qu.: 10.00 3rd Qu.:16.10 ## Max. :11.1800 Max. :6354.30 Max. :32.22 ## NA's :954 NA's :5265 NA's :6008 ## GGT_Gamma_Glutamil_Transferasa Glucosa Hemoglobina ## Min. : 4.00 Min. : 44.0 Min. : 7.20 ## 1st Qu.: 14.00 1st Qu.: 85.0 1st Qu.:12.90 ## Median : 20.00 Median : 91.0 Median :13.50 ## Mean : 32.53 Mean :100.1 Mean :13.47 ## 3rd Qu.: 33.00 3rd Qu.:100.0 3rd Qu.:14.10 ## Max. :1342.00 Max. :552.0 Max. :17.70 ## NA's :2519 NA's :1116 NA's :4657 ## Hemoglobina_A1C aux_Hemoglobina_A1C Hormona_Estimulante_Tiroides_TSH ## Length:6233 Min. : 4.200 Length:6233 ## Class :character 1st Qu.: 5.400 Class :character ## Mode :character Median : 5.800 Mode :character ## Mean : 6.417 ## 3rd Qu.: 6.700 ## Max. :14.700 ## NA's :4385 ## aux_Hormona_Estimulante_TSH Mercurio_ENS Microalbuminuria ## Min. : 0.005 Min. : 30317 Length:6233 ## 1st Qu.: 1.785 1st Qu.: 7102016 Class :character ## Median : 2.700 Median :16122016 Mode :character ## Mean : 4.010 Mean :15547805 ## 3rd Qu.: 4.060 3rd Qu.:23122016 ## Max. :139.400 Max. :31012017 ## NA's :4898 NA's :2705 ## aux_Microalbuminuria Microalbuminuria_Creatinina Plomo_ENS ## Min. : 0.100 Min. : 0.60 Min. : 30317 ## 1st Qu.: 0.300 1st Qu.: 4.40 1st Qu.: 7102016 ## Median : 0.500 Median : 9.00 Median :16092016 ## Mean : 3.287 Mean : 62.31 Mean :15472976 ## 3rd Qu.: 1.400 3rd Qu.: 25.30 3rd Qu.:23092016 ## Max. :555.500 Max. :12740.80 Max. :31012017 ## NA's :2318 NA's :3811 NA's :2612 ## Potasio_K_en_Orina Potasio_Creatinina Proteina_C_Reactiva_cuantitativa ## Min. : 4.60 Min. : 4.40 Length:6233 ## 1st Qu.: 27.68 1st Qu.: 29.20 Class :character ## Median : 41.90 Median : 40.60 Mode :character ## Mean : 47.04 Mean : 46.62 ## 3rd Qu.: 60.30 3rd Qu.: 57.70 ## Max. :200.00 Max. :229.00 ## NA's :2541 NA's :2542 ## aux_Proteina_C_Reactiva_cuant Sangre_deposiciones_1_muestra Sarampion_IgG ## Min. : 0.030 Min. :1.0 Min. :1.000 ## 1st Qu.: 0.100 1st Qu.:2.0 1st Qu.:1.000 ## Median : 0.220 Median :2.0 Median :1.000 ## Mean : 0.439 Mean :1.8 Mean :1.107 ## 3rd Qu.: 0.440 3rd Qu.:2.0 3rd Qu.:1.000 ## Max. :16.810 Max. :2.0 Max. :2.000 ## NA's :5265 NA's :5340 NA's :4929 ## Sodio_Na_en_Orina Sodio_Creatinina Tiroxina_Libre_FT4 ## Min. : 10.0 Min. : 8.30 Min. :0.210 ## 1st Qu.: 84.0 1st Qu.: 77.85 1st Qu.:1.070 ## Median :122.0 Median : 119.20 Median :1.190 ## Mean :127.1 Mean : 138.02 Mean :1.203 ## 3rd Qu.:164.0 3rd Qu.: 176.15 3rd Qu.:1.320 ## Max. :328.0 Max. :1826.10 Max. :7.490 ## NA's :2542 NA's :2542 NA's :4898 ## Transaminasa_Glutamico_Piruvica Trigliceridos Conf_ISP_Trypanosoma_cruzi ## Min. : 5.00 Min. : 20 Min. :1.000 ## 1st Qu.: 14.00 1st Qu.: 86 1st Qu.:1.000 ## Median : 19.00 Median : 121 Median :1.000 ## Mean : 24.96 Mean : 144 Mean :1.182 ## 3rd Qu.: 29.00 3rd Qu.: 174 3rd Qu.:1.000 ## Max. :225.00 Max. :1216 Max. :3.000 ## NA's :2532 NA's :2518 NA's :6156 ## SMAv2 SMA2v2 Conglomerado Estrato ## Min. :0.0000 Min. :0.0000 Min. : 1101101 Min. : 11.00 ## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.: 5109123 1st Qu.: 51.00 ## Median :1.0000 Median :0.0000 Median : 8301107 Median : 81.00 ## Mean :0.7065 Mean :0.2525 Mean : 8503691 Mean : 84.27 ## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:13101108 3rd Qu.:131.00 ## Max. :1.0000 Max. :1.0000 Max. :15101204 Max. :152.00 ## NA's :768 NA's :768 ## Fexp_F1p_Corr Fexp_F2p_Corr Fexp_F1F2p_Corr ## Min. : 2.594 Min. : 3.131 Min. : 3.131 ## 1st Qu.: 414.818 1st Qu.: 454.585 1st Qu.: 454.585 ## Median : 1084.403 Median : 1209.348 Median : 1209.348 ## Mean : 2329.371 Mean : 2630.248 Mean : 2630.248 ## 3rd Qu.: 2633.405 3rd Qu.: 3017.059 3rd Qu.: 3017.059 ## Max. :24000.000 Max. :24000.000 Max. :24000.000 ## NA's :713 NA's :713 ## Fexp_EX1p_Corr Fexp_F1F2EX1p_Corr Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## Min. : 3.163 Min. : 3.163 Min. : 4.32 Min. : 4.34 ## 1st Qu.: 464.486 1st Qu.: 465.550 1st Qu.: 726.64 1st Qu.: 728.37 ## Median : 1232.532 Median : 1241.019 Median : 1781.00 Median : 1791.02 ## Mean : 2666.477 Mean : 2674.828 Mean : 3765.63 Mean : 3774.10 ## 3rd Qu.: 3071.311 3rd Qu.: 3071.912 3rd Qu.: 4341.99 3rd Qu.: 4349.47 ## Max. :24000.000 Max. :24000.000 Max. :34000.00 Max. :34000.00 ## NA's :788 NA's :805 NA's :2386 NA's :2386 ## Fexp_EX3p_Corr Fexp_F1F2EX3p_Corr Ident_MAU_Reu MENOPAUSIA ## Min. : 10.27 Min. : 10.41 Min. :111.0 Min. :0.0000 ## 1st Qu.: 1808.85 1st Qu.: 1821.60 1st Qu.:121.0 1st Qu.:0.0000 ## Median : 4823.59 Median : 4832.53 Median :121.0 Median :0.0000 ## Mean :10532.52 Mean :10551.58 Mean :135.3 Mean :0.3859 ## 3rd Qu.:12958.39 3rd Qu.:12962.88 3rd Qu.:122.0 3rd Qu.:1.0000 ## Max. :98000.00 Max. :98000.00 Max. :222.0 Max. :1.0000 ## NA's :4857 NA's :4857 NA's :767 NA's :2514 ## GPAQ sedent_tiempo_libre transporte_activo marcha_lenta ## Min. :1.00 Min. :0.0000 Min. :0.000 Min. :0.0000 ## 1st Qu.:1.00 1st Qu.:1.0000 1st Qu.:0.000 1st Qu.:0.0000 ## Median :2.00 Median :1.0000 Median :0.000 Median :0.0000 ## Mean :1.94 Mean :0.8872 Mean :0.232 Mean :0.2202 ## 3rd Qu.:3.00 3rd Qu.:1.0000 3rd Qu.:0.000 3rd Qu.:0.0000 ## Max. :3.00 Max. :1.0000 Max. :1.000 Max. :1.0000 ## NA's :98 NA's :43 NA's :6 ## SINDROME_METABOLICO RCV_CHILENO_RECODIFICADO v_25_OH_Vitamina_D2_corr ## Min. :0.0000 Min. :1.000 Min. : 0.000 ## 1st Qu.:0.0000 1st Qu.:1.000 1st Qu.: 0.000 ## Median :0.0000 Median :2.000 Median : 0.000 ## Mean :0.4541 Mean :2.005 Mean : 0.075 ## 3rd Qu.:1.0000 3rd Qu.:3.000 3rd Qu.: 0.000 ## Max. :1.0000 Max. :3.000 Max. :15.800 ## NA's :2069 NA's :2140 NA's :3347 ## v_25_OH_Vitamina_D3_corr v_25_OH_Vitamina_D2_D3_corr VITAD_en4 ## Min. : 1.30 Min. : 1.30 Min. :1.000 ## 1st Qu.:13.30 1st Qu.:13.50 1st Qu.:2.000 ## Median :18.90 Median :18.90 Median :2.000 ## Mean :19.67 Mean :19.74 Mean :2.374 ## 3rd Qu.:24.80 3rd Qu.:24.90 3rd Qu.:3.000 ## Max. :57.70 Max. :59.70 Max. :4.000 ## NA's :3347 NA's :3347 NA's :3347 ## Def_severo_VITAD Deficit_VITAD Insuficiencia_VITAD Edad_AM2 ## Min. :0.000 Min. :0.000 Min. :0.000 Min. :1.000 ## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:1.000 1st Qu.:1.000 ## Median :0.000 Median :1.000 Median :1.000 Median :2.000 ## Mean :0.192 Mean :0.547 Mean :0.888 Mean :1.677 ## 3rd Qu.:0.000 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:2.000 ## Max. :1.000 Max. :1.000 Max. :1.000 Max. :3.000 ## NA's :3347 NA's :3347 NA's :3347 NA's :4202 ## IMC fg_CKDschwartz_diminuido_60 fg_CKDschwartz_diminuido_30 ## Min. :14.76 Min. :0.0000 Min. :0.0000 ## 1st Qu.:25.06 1st Qu.:0.0000 1st Qu.:0.0000 ## Median :28.32 Median :0.0000 Median :0.0000 ## Mean :28.93 Mean :0.0515 Mean :0.0059 ## 3rd Qu.:32.01 3rd Qu.:0.0000 3rd Qu.:0.0000 ## Max. :63.51 Max. :1.0000 Max. :1.0000 ## NA's :750 NA's :954 NA's :954 ## EXP_SOLAR Consumo_lacteos CC_Talla ExtremoSur ## Min. :0.0000 Min. :0.0000 Min. : 20.83 Min. :0.0000 ## 1st Qu.:1.0000 1st Qu.:0.0000 1st Qu.: 52.66 1st Qu.:0.0000 ## Median :1.0000 Median :0.0000 Median : 58.44 Median :0.0000 ## Mean :0.7527 Mean :0.6312 Mean : 58.93 Mean :0.1014 ## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.: 64.56 3rd Qu.:0.0000 ## Max. :1.0000 Max. :2.0000 Max. :112.67 Max. :1.0000 ## NA's :478 NA's :759 ## filter__ af2a af2a_esp af2b ## Min. :0.000 Min. :-8888.0 Min. : 25.00 Min. :-8888.0 ## 1st Qu.:0.000 1st Qu.: 3.0 1st Qu.: 55.00 1st Qu.: 3.0 ## Median :0.000 Median : 3.0 Median : 65.00 Median : 3.0 ## Mean :0.195 Mean : -155.7 Mean : 64.84 Mean : -145.6 ## 3rd Qu.:0.000 3rd Qu.: 3.0 3rd Qu.: 75.00 3rd Qu.: 3.0 ## Max. :1.000 Max. : 3.0 Max. :109.00 Max. : 3.0 ## NA's :4898 NA's :5067 ## af2b_esp af2c af2c_esp af2d ## Min. :26.00 Min. :-8888.0 Min. : 0.00 Min. :-8888.0 ## 1st Qu.:56.00 1st Qu.: 3.0 1st Qu.:19.50 1st Qu.: 3.0 ## Median :66.00 Median : 3.0 Median :61.00 Median : 3.0 ## Mean :65.12 Mean : -138.2 Mean :50.20 Mean : -146.8 ## 3rd Qu.:75.00 3rd Qu.: 3.0 3rd Qu.:76.25 3rd Qu.: 3.0 ## Max. :97.00 Max. : 3.0 Max. :99.00 Max. : 3.0 ## NA's :5541 NA's :6145 ## af2d_esp af2e af2e_esp dis1a_corr ## Min. :25.00 Min. :-8888.0 Min. : 0.0000 Min. :-9999.0 ## 1st Qu.:55.00 1st Qu.: 3.0 1st Qu.: 0.0000 1st Qu.: 0.0 ## Median :65.00 Median : 3.0 Median : 0.0000 Median : 2015.0 ## Mean :64.87 Mean : -189.6 Mean : 0.4629 Mean : 421.2 ## 3rd Qu.:75.50 3rd Qu.: 3.0 3rd Qu.: 0.0000 3rd Qu.: 2016.0 ## Max. :98.00 Max. : 3.0 Max. :84.0000 Max. : 2017.0 ## NA's :6070 ## dis1b_corr CONTROL_CT_AGNO_corr yoduria_c ## Min. :-9999 Min. :0.0000 Min. : 48.71 ## 1st Qu.: 0 1st Qu.:0.0000 1st Qu.: 117.94 ## Median : 4 Median :1.0000 Median : 191.80 ## Mean :-1754 Mean :0.5774 Mean : 229.29 ## 3rd Qu.: 9 3rd Qu.:1.0000 3rd Qu.: 278.82 ## Max. : 12 Max. :1.0000 Max. :12863.01 ## NA's :694 NA's :4970 ## Yoduria_mas_Creatinina_c ## Min. : 21.36 ## 1st Qu.: 132.25 ## Median : 187.89 ## Mean : 244.83 ## 3rd Qu.: 261.37 ## Max. :21691.41 ## NA's :4972
Revisar base de datos
names(df0)[grepl("Vitamina",names(df0))]
## [1] "v_25_OH_Vitamina_D2" "aux_25_OH_Vitamina_D2" ## [3] "v_25_OH_Vitamina_D2_D3" "v_25_OH_Vitamina_D3" ## [5] "v_25_OH_Vitamina_D2_corr" "v_25_OH_Vitamina_D3_corr" ## [7] "v_25_OH_Vitamina_D2_D3_corr"
CHEQUEAR FACTOR DE EXPANSION
# FactoresExp1<- rio::import('ENS2017_FactoresExp.xlsx', sheet=1)
# FactoresExp3<- rio::import('ENS2017_FactoresExp.xlsx', sheet=3)
# FactoresExp2<-FactoresExp2[order(FactoresExp2$`Examen `),]
FactoresExp2<- rio::import('ENS2017_FactoresExp.xlsx', sheet=2)
FactoresExp2
## Examen FactorExp F1-Examen FactorExp, F2-Examen ## 1 v_25_OH_Vitamina_D2 Fexp_EX1p_Corr Fexp_F1F2EX1p_Corr ## 2 aux_25_OH_Vitamina_D2 Fexp_EX1p_Corr Fexp_F1F2EX1p_Corr ## 3 v_25_OH_Vitamina_D2_D3 Fexp_EX1p_Corr Fexp_F1F2EX1p_Corr ## 4 v_25_OH_Vitamina_D3 Fexp_EX1p_Corr Fexp_F1F2EX1p_Corr ## 5 Anticuerpos_Anti_Peptido_C Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## 6 aux_Anticuerpos_Anti_Peptido_C Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## 7 Anticuerpos_Anti_Peroxidasa_T Fexp_EX3p_Corr Fexp_F1F2EX3p_Corr ## 8 aux_Anticuerpos_Anti_Peroxidasa Fexp_EX3p_Corr Fexp_F1F2EX3p_Corr ## 9 Anticuerpos_anti_Trypanosoma_c Fexp_EX1p_Corr Fexp_F1F2EX1p_Corr ## 10 aux_A_Anticuerpos_anti_Tryp_c_ Fexp_EX1p_Corr Fexp_F1F2EX1p_Corr ## 11 aux_B_Anticuerpos_anti_Tryp_c_ Fexp_EX1p_Corr Fexp_F1F2EX1p_Corr ## 12 Arsenico_ENS Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## 13 Cadmio_ENS Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## 14 Colesterol_HDL Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## 15 Colesterol_LDL_Calculado Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## 16 Colesterol_No_HDL_Calculado Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## 17 Colesterol_Total Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## 18 Colesterol_VLDL_Calculado Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## 19 Creatinina_en_Orina Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## 20 Creatinina_en_Sangre Fexp_EX1p_Corr Fexp_F1F2EX1p_Corr ## 21 Factor_Reumatoideo Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## 22 aux_Factor_Reumatoideo Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## 23 Filtrado_Glomerular_CKD_EPI Fexp_EX1p_Corr Fexp_F1F2EX1p_Corr ## 24 Folato_Serico Fexp_EX1p_Corr Fexp_F1F2EX1p_Corr ## 25 GGT_Gamma_Glutamil_Transferasa Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## 26 Glucosa Fexp_EX1p_Corr Fexp_F1F2EX1p_Corr ## 27 Hemoglobina Fexp_EX1p_Corr Fexp_F1F2EX1p_Corr ## 28 Hemoglobina_A1C Fexp_EX1p_Corr Fexp_F1F2EX1p_Corr ## 29 aux_Hemoglobina_A1C Fexp_EX1p_Corr Fexp_F1F2EX1p_Corr ## 30 Hormona_Estimulante_Tiroides_TSH Fexp_EX3p_Corr Fexp_F1F2EX3p_Corr ## 31 aux_Hormona_Estimulante_TSH Fexp_EX3p_Corr Fexp_F1F2EX3p_Corr ## 32 Mercurio_ENS Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## 33 Microalbuminuria Fexp_EX1p_Corr Fexp_F1F2EX1p_Corr ## 34 aux_Microalbuminuria Fexp_EX1p_Corr Fexp_F1F2EX1p_Corr ## 35 Microalbuminuria_Creatinina Fexp_EX1p_Corr Fexp_F1F2EX1p_Corr ## 36 Plomo_ENS Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## 37 Potasio_K_en_Orina Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## 38 Potasio_Creatinina Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## 39 Proteina_C_Reactiva_cuantitativa Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## 40 aux_Proteina_C_Reactiva_cuant Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## 41 Sangre_deposiciones_1_muestra Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## 42 Sarampion_IgG Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## 43 Sodio_Na_en_Orina Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## 44 Sodio_Creatinina Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## 45 Tiroxina_Libre_FT4 Fexp_EX3p_Corr Fexp_F1F2EX3p_Corr ## 46 Transaminasa_Glutamico_Piruvica Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## 47 Trigliceridos Fexp_EX2p_Corr Fexp_F1F2EX2p_Corr ## 48 VPH_alto_riesgo Fexp_EX1p_Corr Fexp_F1F2EX1p_Corr ## 49 VPH_genotipo_16 Fexp_EX1p_Corr Fexp_F1F2EX1p_Corr ## 50 VPH_genotipo_18 Fexp_EX1p_Corr Fexp_F1F2EX1p_Corr ## 51 VPH_resultado Fexp_EX1p_Corr Fexp_F1F2EX1p_Corr ## 52 Yoduria Fexp_EX3p_Corr Fexp_F1F2EX3p_Corr ## 53 aux_Yoduria Fexp_EX3p_Corr Fexp_F1F2EX3p_Corr ## 54 Yoduria_mas_Creatinina Fexp_EX3p_Corr Fexp_F1F2EX3p_Corr ## 55 Conf_ISP_Trypanosoma_cruzi Fexp_EX1p_Corr Fexp_F1F2EX1p_Corr
Extraer variables importantes
# df0<- df0[c( "IdEncuesta","FechaInicioF1","Region","Zona", "Edad", # "Edad_Codificada","Sexo","NEDU","v_25_OH_Vitamina_D2_D3_corr")]
Describir muestra cruda
table(df0$Sexo)
## ## 1 2 ## 2315 3918
Describir muestra cruda
hist(df0$v_25_OH_Vitamina_D2_D3_corr)
Generar variables
df0$Gender<-factor(df0$Sexo,
levels=c("1","2"),
labels=c("Male",
"Female"))
df0$Educational_level<-factor(df0$NEDU,
levels=c("1","2","3"),
labels=c("Low",
"Mid",
"High"))
df0$Area<-factor(df0$Zona,
levels=c("1","2"),
labels=c("Urban",
"Rural"))
df0$Age<-factor(df0$Edad_Codificada,
levels=c("1","2","3","4"),
labels=c("17-24",
"25-44",
"45-64",
"65+"))
df0$Edad_Codificada<-factor(df0$Edad_Codificada)
df0$Region_n<-as.numeric(df0$Region)
df0$RM<-NA
df0$RM[(df0$Region_n==7)]<-1
df0$RM[(df0$Region_n!=7)]<-2
df0$ENS<-2017
df0$person<-1
Survey design
df0$Conglomerado_<-NA df0$Conglomerado_<-df0$Conglomerado df0$strata_<-NA df0$strata_<-df0$Estrato df0$outcome<-df0$v_25_OH_Vitamina_D2_D3_corr df0$exposure<-df0$Gender df0$fexp<-df0$Fexp_F1F2EX1p_Corr df0_<-subset(df0,!is.na(fexp)& !is.na(strata_)& !is.na(Conglomerado_))
Survey design
survey_design <- df0_ %>%
as_survey_design(id=Conglomerado_,
weight = fexp,
strata=strata_,
nest=TRUE)
options(survey.lonely.psu="certainty")
survey_design<-subset(survey_design,
!is.na(outcome) &!is.na(exposure) & Edad>=15)
Describir media según exposure
res0<-svyby(~outcome, ~ENS+exposure, survey_design, svymean) res0
## ENS exposure outcome se ## 2017.Male 2017 Male 21.06824 0.7677023 ## 2017.Female 2017 Female 19.63827 0.3098690
agregar n
res0$exposure_<-"Gender" res0b<- survey_design %>% group_by(ENS,exposure) %>% summarize(n = unweighted(n())) res0<-full_join(res0,res0b)
## Joining, by = c("ENS", "exposure")
res0$outcome_<-"Mean"
Describir media total y pegar tablas
res_0<-svyby(~outcome, ~ENS, survey_design, svymean) res_0$exposure<-"All" res_0b<- survey_design %>% group_by(ENS) %>% summarize(n = unweighted(n())) res_0<-full_join(res_0,res_0b)
## Joining, by = "ENS"
res_0$outcome_<-"Mean" res_0<-full_join(res_0,res_0b)
## Joining, by = c("ENS", "n")
res0<-full_join(res_0,res0)
## Joining, by = c("ENS", "outcome", "se", "exposure", "n", "outcome_")
Tabla generada
res0
## ENS outcome se exposure n outcome_ exposure_ ## 1 2017 19.82558 0.2960902 All 2880 Mean <NA> ## 2 2017 21.06824 0.7677023 Male 463 Mean Gender ## 3 2017 19.63827 0.3098690 Female 2417 Mean Gender
Subpop: Describir media
survey_design<-subset(survey_design,Edad<50 & Sexo==2) # Déficit Vit D (M1 y ADM) 2499 # Criterio de impresión de etiqueta: ( (ser mujer) & (edad>=15 & edad<=49) ) Ó (edad>=65) # Criterio de aplicación de Examen: ( (ser mujer) & (edad>=15 & edad<=49) ) Ó (edad>=65) res0<-svyby(~outcome, ~ENS+exposure, survey_design, svymean) res0$exposure_<-"Gender" res0b<- survey_design %>% group_by(ENS,exposure) %>% summarize(n = unweighted(n())) res0<-full_join(res0,res0b)
## Joining, by = c("ENS", "exposure")
res0$outcome_<-"Mean" res_0<-svyby(~outcome, ~ENS, survey_design, svymean) res_0$exposure<-"All" res_0b<- survey_design %>% group_by(ENS) %>% summarize(n = unweighted(n())) res_0<-full_join(res_0,res_0b)
## Joining, by = "ENS"
res_0$outcome_<-"Mean" res_0<-full_join(res_0,res_0b)
## Joining, by = c("ENS", "n")
res0<-full_join(res_0,res0)
## Joining, by = c("ENS", "outcome", "se", "exposure", "n", "outcome_")
# res0$value<-res0$outcome
# res0$value<-res0$outcome*100
res0$CI_i<-(res0$outcome-1.96*res0$se)
res0$CI_s<-(res0$outcome+1.96*res0$se)
# svyciprop(formula, design, method = c("logit", "likelihood", "asin", "beta","mean"), level = 0.95, ...)
# idem que cofint---
confint(svyby(~outcome, ~ENS+exposure, survey_design, svymean))
## 2.5 % 97.5 % ## 2017.Female 19.36865 20.80867
# confint(svyby(~outcome, ~ENS+exposure+Area, survey_design, svymean, # method="likelihood")) # confint(svyby(~outcome, ~ENS+exposure+Area, survey_design, svymean, # method="logit")) # confint(svyby(~outcome, ~ENS+exposure+Area, survey_design, svymean, # method="asin")) # confint(svyby(~outcome, ~ENS+exposure+Area, survey_design, svymean, # method="beta")) # confint(svyby(~outcome, ~ENS+exposure+Area, survey_design, svymean, # method="mean"))
Subpop: Describir media
res0
## ENS outcome se exposure n outcome_ exposure_ CI_i CI_s ## 1 2017 20.08866 0.3673585 All 1591 Mean <NA> 19.36864 20.80869 ## 2 2017 20.08866 0.3673585 Female 1591 Mean Gender 19.36864 20.80869
Definir outcomes
df0$outcome<-df0$v_25_OH_Vitamina_D2_D3_corr df0$outcome1<-as.numeric(df0$v_25_OH_Vitamina_D2_D3_corr<12) df0$outcome2<-as.numeric(df0$v_25_OH_Vitamina_D2_D3_corr<20) df0$outcome3<-as.numeric(df0$v_25_OH_Vitamina_D2_D3_corr<30) df0$outcome5_<-NA df0$outcome5_[df0$v_25_OH_Vitamina_D2_D3_corr>=30]<-0 df0$outcome5_[df0$v_25_OH_Vitamina_D2_D3_corr<30]<-1 df0$outcome5_[df0$v_25_OH_Vitamina_D2_D3_corr<20]<-2 df0$outcome5_[df0$v_25_OH_Vitamina_D2_D3_corr<12]<-3 df0$outcome5_<-as.factor(df0$outcome5_)
Definir exposure
df0$exposure<-df0$Edad_Codificada
df0_<-subset(df0,!is.na(fexp)& !is.na(strata_)& !is.na(Conglomerado_))
survey_design <- df0_ %>%
as_survey_design(id=Conglomerado_,
weight = fexp,
strata=strata_,
nest=TRUE)
options(survey.lonely.psu="certainty")
survey_design<-subset(survey_design,
!is.na(outcome) &!is.na(exposure) &Edad>=15)
survey_design<-subset(survey_design,Edad<50 & Sexo==2)
Describir prevalencia de vitamina D2+D3 <30, <20 y <12
res0a<-svyby(~outcome1, ~ENS+exposure, survey_design, svytotal) res0b<-svyby(~outcome1, ~ENS+exposure, survey_design, svymean) res1<-svyby(~outcome1, ~ENS+exposure, survey_design, svymean) res1$exposure_<-"Age groups" res1b<- survey_design %>% group_by(ENS,exposure) %>% summarize(n = unweighted(n())) res1<-full_join(res1,res1b)
## Joining, by = c("ENS", "exposure")
res1$outcome1_<-"Mean" res_1<-svyby(~outcome1, ~ENS, survey_design, svymean) res_1$exposure<-"All" res_1b<- survey_design %>% group_by(ENS) %>% summarize(n = unweighted(n())) res_1<-full_join(res_1,res_1b)
## Joining, by = "ENS"
res_1$outcome1_<-"Mean" res_1<-full_join(res_1,res_1b)
## Joining, by = c("ENS", "n")
res1<-full_join(res_1,res1)
## Joining, by = c("ENS", "outcome1", "se", "exposure", "n", "outcome1_")
# res1$value<-res1$outcome1 # res1$value<-res1$outcome1*111 res1$CI_i<-(res1$outcome1-1.96*res1$se) res1$CI_s<-(res1$outcome1+1.96*res1$se) res2<-svyby(~outcome2, ~ENS+exposure, survey_design, svymean) res2$exposure_<-"Age groups" res2b<- survey_design %>% group_by(ENS,exposure) %>% summarize(n = unweighted(n())) res2<-full_join(res2,res2b)
## Joining, by = c("ENS", "exposure")
res2$outcome_<-"Mean" res_2<-svyby(~outcome2, ~ENS, survey_design, svymean) res_2$exposure<-"All" res_2b<- survey_design %>% group_by(ENS) %>% summarize(n = unweighted(n())) res_2<-full_join(res_2,res_2b)
## Joining, by = "ENS"
res_2$outcome_<-"Mean" res_2<-full_join(res_2,res_2b)
## Joining, by = c("ENS", "n")
res2<-full_join(res_2,res2)
## Joining, by = c("ENS", "outcome2", "se", "exposure", "n", "outcome_")
# res2$value<-res2$outcome # res2$value<-res2$outcome*100 res2$CI_i<-(res2$outcome2-1.96*res2$se) res2$CI_s<-(res2$outcome2+1.96*res2$se) res3<-svyby(~outcome3, ~ENS+exposure, survey_design, svymean) res3$exposure_<-"Age groups" res3b<- survey_design %>% group_by(ENS,exposure) %>% summarize(n = unweighted(n())) res3<-full_join(res3,res3b)
## Joining, by = c("ENS", "exposure")
res3$outcome_<-"Mean" res_3<-svyby(~outcome3, ~ENS, survey_design, svymean) res_3$exposure<-"All" res_3b<- survey_design %>% group_by(ENS) %>% summarize(n = unweighted(n())) res_3<-full_join(res_3,res_3b)
## Joining, by = "ENS"
res_3$outcome_<-"Mean" res_3<-full_join(res_3,res_3b)
## Joining, by = c("ENS", "n")
res3<-full_join(res_3,res3)
## Joining, by = c("ENS", "outcome3", "se", "exposure", "n", "outcome_")
# res3$value<-res3$outcome # res3$value<-res3$outcome*100 res3$CI_i<-(res3$outcome3-1.96*res3$se) res3$CI_s<-(res3$outcome3+1.96*res3$se)
Prevalencia de vitamina D2+D3 <30 , <20 y <12
res1
## ENS outcome1 se exposure n outcome1_ exposure_ CI_i ## 1 2017 0.1601258 0.01609356 All 1591 Mean <NA> 0.12858238 ## 2 2017 0.2000125 0.03590174 1 386 Mean Age groups 0.12964511 ## 3 2017 0.1386808 0.01980064 2 955 Mean Age groups 0.09987155 ## 4 2017 0.1657311 0.04135856 3 250 Mean Age groups 0.08466831 ## CI_s ## 1 0.1916691 ## 2 0.2703799 ## 3 0.1774901 ## 4 0.2467939
res2
## ENS outcome2 se exposure n outcome_ exposure_ CI_i ## 1 2017 0.5213176 0.02389321 All 1591 Mean <NA> 0.4744869 ## 2 2017 0.5362297 0.03967003 1 386 Mean Age groups 0.4584764 ## 3 2017 0.5074314 0.03076562 2 955 Mean Age groups 0.4471308 ## 4 2017 0.5561769 0.06140807 3 250 Mean Age groups 0.4358171 ## CI_s ## 1 0.5681483 ## 2 0.6139829 ## 3 0.5677320 ## 4 0.6765367
res3
## ENS outcome3 se exposure n outcome_ exposure_ CI_i ## 1 2017 0.8897431 0.01323123 All 1591 Mean <NA> 0.8638099 ## 2 2017 0.9115071 0.02254300 1 386 Mean Age groups 0.8673229 ## 3 2017 0.8792567 0.01805180 2 955 Mean Age groups 0.8438751 ## 4 2017 0.8860195 0.04825027 3 250 Mean Age groups 0.7914490 ## CI_s ## 1 0.9156764 ## 2 0.9556914 ## 3 0.9146382 ## 4 0.9805901
res12<-cbind(res1,res2) res123<-cbind(res12,res3)
Describir prevalencia de vitamina D2+D3 en rangos
- 0: Vit D >=30
- 1: Vit D 20-29.9
- 2: Vit D 12-19.9
- 3: Vit D <12
df0_<-subset(df0,!is.na(fexp)& !is.na(strata_)& !is.na(Conglomerado_))
survey_design <- df0_ %>%
as_survey_design(id=Conglomerado_,
weight = fexp,
strata=strata_,
nest=TRUE)
options(survey.lonely.psu="certainty")
survey_design<-subset(survey_design,
!is.na(outcome) &!is.na(exposure) &Edad>=15)
survey_design<-subset(survey_design,Edad<50 & Sexo==2)
Describir prevalencia de vitamina D2+D3 en rangos
res0a<-svyby(~outcome5_, ~ENS+exposure, survey_design, svytotal) res0b<-svyby(~outcome5_, ~ENS+exposure, survey_design, svymean) # res0c<-svyby(~outcome5_, ~ENS+exposure, survey_design) res0<-svyby(~outcome5_, ~ENS+exposure, survey_design, svymean) res0$exposure_<-"Age groups" res0b<- survey_design %>% group_by(ENS,exposure) %>% summarize(n = unweighted(n())) res0<-full_join(res0,res0b)
## Joining, by = c("ENS", "exposure")
res0$outcome5__<-"Mean" res_0<-svyby(~outcome5_, ~ENS, survey_design, svymean) res_0$exposure<-"All" res_0b<- survey_design %>% group_by(ENS) %>% summarize(n = unweighted(n())) res_0<-full_join(res_0,res_0b)
## Joining, by = "ENS"
res_0$outcome5__<-"Mean" res_0<-full_join(res_0,res_0b)
## Joining, by = c("ENS", "n")
res0<-full_join(res_0,res0)
## Joining, by = c("ENS", "outcome5_0", "outcome5_1", "outcome5_2", "outcome5_3", "se.outcome5_0", "se.outcome5_1", "se.outcome5_2", "se.outcome5_3", "exposure", "n", "outcome5__")
res0$ENS<-NULL res0$outcome5__<-NULL #Guardo data con unweighted n res0n<-res0 #Derrito mi base de datos, original hacial el lado, ahora es hacia abajo res0<-melt(res0)
## Using exposure, exposure_ as id variables
#Selecciono desviación estandar
res0a<-res0[grepl("se.",res0$variable),]
res0$variable<-gsub("se.o","se.O.",res0$variable)
#Selecciono medias
res0b<-res0[grepl("out",res0$variable),]
names(res0b)<-paste(names(res0b),"_",sep="")
# las pego lado a lado
res0c<-cbind(res0a,res0b)
res0<-res0c
res0$se<-res0$value*100
res0$outcome5_<-res0$value_*100
#calculo intervalo de confianza 95%
res0$CI_i<-(res0$outcome5_-1.96*res0$se)
res0$CI_s<-(res0$outcome5_+1.96*res0$se)
names(res0) <- make.unique(names(res0))
res0n<-res0n[c("exposure","n")]
res0<-left_join(res0,res0n)
## Joining, by = "exposure"
res0<-res0[order(res0$exposure_.1),]
res0<-res0[c("exposure","variable_","outcome5_","se","CI_i","CI_s" )]
write.csv(res0,file="res0.csv")
Describir prevalencia de vitamina D2+D3 en rangos
res0
## exposure variable_ outcome5_ se CI_i CI_s ## 2 1 outcome5_0 8.849285 2.254300 4.430856 13.26771 ## 6 1 outcome5_1 37.527747 3.911371 29.861460 45.19403 ## 10 1 outcome5_2 33.621715 3.427640 26.903541 40.33989 ## 14 1 outcome5_3 20.001253 3.590174 12.964511 27.03799 ## 3 2 outcome5_0 12.074332 1.805180 8.536180 15.61249 ## 7 2 outcome5_1 37.182531 2.923010 31.453431 42.91163 ## 11 2 outcome5_2 36.875055 2.992453 31.009847 42.74026 ## 15 2 outcome5_3 13.868082 1.980064 9.987155 17.74901 ## 4 3 outcome5_0 11.398046 4.825027 1.940994 20.85510 ## 8 3 outcome5_1 32.984264 5.567898 22.071184 43.89734 ## 12 3 outcome5_2 39.044582 6.010347 27.264302 50.82486 ## 16 3 outcome5_3 16.573108 4.135856 8.466831 24.67939 ## 1 All outcome5_0 11.025685 1.323123 8.432364 13.61901 ## 5 All outcome5_1 36.842558 2.206689 32.517447 41.16767 ## 9 All outcome5_2 36.119182 2.189326 31.828102 40.41026 ## 13 All outcome5_3 16.012576 1.609356 12.858238 19.16691
Regresion lineal VitD y area urbana/rural ajustada por edad
res0<-svyby(~outcome, ~Area, survey_design, svymean) res0
## Area outcome se ## Urban Urban 19.55907 0.4044490 ## Rural Rural 24.18627 0.6407234
fit.logit <- svyglm(outcome~ Area+Edad, survey_design) fit.logit<-summary(fit.logit) fit2<-as.data.frame(coef(fit.logit)) fit2$name<-rownames(fit2) fit2$outcome<-"Vit D numeric" fit2
## Estimate Std. Error t value Pr(>|t|) name ## (Intercept) 19.693567339 1.17498130 16.760750 6.829935e-54 (Intercept) ## AreaRural 4.634988239 0.76213119 6.081615 1.883557e-09 AreaRural ## Edad -0.004277369 0.03457186 -0.123724 9.015665e-01 Edad ## outcome ## (Intercept) Vit D numeric ## AreaRural Vit D numeric ## Edad Vit D numeric
Regresion logística VitD<30 y area urbana/rural ajustada por edad
res0<-svyby(~outcome1, ~Area, survey_design, svymean) res0
## Area outcome1 se ## Urban Urban 0.17366582 0.01789273 ## Rural Rural 0.05536227 0.02427076
# fit.logit <- svyglm(outcome1 ~Area, survey_design,
# family = quasibinomial(link = "logit"))
fit.logit <- svyglm(outcome1 ~Area+Edad, survey_design,
family = quasibinomial(link = "logit"))
fit.logit<-summary(fit.logit)
# quasi(link="identity")
fit_t<-as.data.frame(coef(fit.logit))
fit_t$name<-rownames(fit_t)
fit_t$outcome<-"VitD<12"
fit_t$OR<-round(exp(fit_t$Estimate),digits=2)
fit_t$OR_i<-round(exp((fit_t$Estimate)-(1.96*fit_t$`Std. Error`)),2)
fit_t$OR_s<-round(exp((fit_t$Estimate)+(1.96*fit_t$`Std. Error`)),2)
# fit_t$pvalue<-fit_t$`Pr(>|t|)`
# fit_t$`Pr(>|t|)`<-NULL
fit_t$Estimate<-NULL
fit_t$`Std. Error`<-NULL
# fit_t$Std.Error<-as.numeric(as.character(fit_t$`Std. Error`))
fit_t$`t value`<-NULL
# fit_t$`Pr(>|t|)`<-as.numeric(as.character(fit_t$`Pr(>|t|)`))
fit_t$pvalue<-round(fit_t$`Pr(>|t|)`,digits=4)
fit_t$`Pr(>|t|)`<-NULL
fit_t<-subset(fit_t,name!="(Intercept)")
fit_t$name<-NULL
Regresion logística VitD<30 y area urbana/rural ajustada por edad
fit_t
## outcome OR OR_i OR_s pvalue ## AreaRural VitD<12 0.28 0.11 0.73 0.0090 ## Edad VitD<12 0.99 0.96 1.01 0.3525
Regresion logística VitD<30 y nivel educacional ajustada por edad
res0<-svyby(~outcome1, ~as.factor(NEDU1), survey_design, svymean)
fit.logit <- svyglm(outcome1 ~as.factor(NEDU1)+Edad, survey_design,
family = quasibinomial(link = "logit"))
fit.logit<-summary(fit.logit)
# quasi(link="identity")
fit_t<-as.data.frame(coef(fit.logit))
fit_t$name<-rownames(fit_t)
fit_t$outcome<-"VitD<30"
fit_t$OR<-round(exp(fit_t$Estimate),digits=2)
fit_t$OR_i<-round(exp((fit_t$Estimate)-(1.96*fit_t$`Std. Error`)),2)
fit_t$OR_s<-round(exp((fit_t$Estimate)+(1.96*fit_t$`Std. Error`)),2)
# fit_t$pvalue<-fit_t$`Pr(>|t|)`
# fit_t$`Pr(>|t|)`<-NULL
fit_t$Estimate<-NULL
fit_t$`Std. Error`<-NULL
# fit_t$Std.Error<-as.numeric(as.character(fit_t$`Std. Error`))
fit_t$`t value`<-NULL
# fit_t$`Pr(>|t|)`<-as.numeric(as.character(fit_t$`Pr(>|t|)`))
fit_t$pvalue<-round(fit_t$`Pr(>|t|)`,digits=4)
fit_t$`Pr(>|t|)`<-NULL
fit_t<-subset(fit_t,name!="(Intercept)")
fit_t$name<-NULL
Regresion logística VitD<30 y nivel educacional ajustada por edad
res0
## as.factor(NEDU1) outcome1 se ## 1 1 0.06202279 0.02318446 ## 2 2 0.15350749 0.02081670 ## 3 3 0.19314277 0.03000457
fit_t
## outcome OR OR_i OR_s pvalue ## as.factor(NEDU1)2 VitD<30 2.51 1.08 5.82 0.0329 ## as.factor(NEDU1)3 VitD<30 3.31 1.33 8.24 0.0101 ## Edad VitD<30 0.99 0.96 1.02 0.4685
Regresion logística VitD<20 y area urbana/rural ajustada por edad
res0
## Area outcome2 se ## Urban Urban 0.5552815 0.02631323 ## Rural Rural 0.2585283 0.04534215
fit_t
## outcome OR OR_i OR_s pvalue ## AreaRural VitD<12 0.28 0.17 0.46 0.0000 ## Edad VitD<12 1.00 0.98 1.02 0.8895
Regresion logística VitD<20 y nivel educacional ajustada por edad
res0
## as.factor(NEDU1) outcome2 se ## 1 1 0.3645948 0.07862445 ## 2 2 0.5030312 0.03049085 ## 3 3 0.5905336 0.03962239
fit_t
## outcome OR OR_i OR_s pvalue ## as.factor(NEDU1)2 VitD<20 1.81 0.89 3.71 0.1039 ## as.factor(NEDU1)3 VitD<20 2.58 1.23 5.44 0.0128 ## Edad VitD<20 1.00 0.99 1.02 0.7210