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STATA: Genera descritivos rápidos con bases de datos gigantes!
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library(tidyverse) | |
library(haven) | |
library(labelled) | |
#crear data frame | |
set.seed(22) | |
dta <- data_frame("edad" = floor(rnorm(6,25,10)), | |
"peso" = floor(rnorm(6,60,10)), | |
"sexo" = gl(2,1,6, labels = c("f","m")), | |
"altura" = gl(2,2,6, labels = c("bajo","alto")), | |
"outcome" = rep(c("primaria","secundaria","universidad"),each=2)) | |
#regla | |
!grepl("^[A-Za-z_]{1}[A-Za-z0-9_]{0,31}$", names(dta)) | |
#fuente: | |
#https://github.com/tidyverse/haven/blob/master/R/haven.R | |
#con error | |
dta %>% | |
mutate_if(is.character,as.factor) %>% | |
write_dta("data/test.dta") |
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*importar base de datos | |
use "data/test.dta" | |
*ver los tipos de variable | |
describe | |
*crear un "vector/lista" de variables según el tipo | |
*ejecutar un loop con funciones descriptivas | |
*la línea if+condition+continue permite evitar ciertas variables dentro de la lista creada | |
*loop para variables categóricas (guardadas con tipo long) | |
ds, has(type long) | |
foreach var in `r(varlist)' { | |
if "`var'" == "outcome" continue | |
codebook `var', detail | |
tab `var' outcome, chi col | |
} | |
*loop para variables numéricas (guardadas con tipo double) | |
ds, has(type double) | |
foreach var in `r(varlist)' { | |
codebook `var', detail | |
tabstat `var', s(n min max mean sd q sk k) by(outcome) | |
oneway `var' outcome, bonferroni | |
*kwallis2 `var', by(community1) | |
} |
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