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tabla_pulso.R
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# WARNING - Generated by {fusen} from /dev/flat_minimal.Rmd: do not edit by hand
#' Funcion para realizar tablas de cruces
#'
#' @param data Base de datos para la funcion
#' @param main_var Variable principal que estara en las filas.
#' @param sub_var Variables de cruces.
#' @param titulo Es el titulo de la tabla, por default recoge la pregunta como aparece en la encuesta pero se puede modificar.
#' @import tidyverse
#' @import glue
#' @import sjlabelled
#' @import testthat
#' @import janitor
#' @import glue
#' @import lubridate
#' @import scales
#' @import Hmisc
#' @import lazyeval
#' @import plotly
#' @import ggrepel
#' @import cowplot
#' @import grid
#' @import fmsb
#' @import haven
#' @import rio
#' @import officer
#' @import officedown
#' @import sjlabelled
#' @import flextable
#' @import knitr
#' @import kableExtra
#' @import DT
#' @import gtsummary
#' @import ggpubr
#' @import paletteer
#' @import RColorBrewer
#' @import grDevices
#' @import graphics
#' @import utils
#' @return Una tabla.
#' @examples
#'
#' # data_prueba_ruta <- system.file("data_prueba.sav", package = "pulso")
#' # data_prueba <- haven::read_sav(data_prueba_ruta)
#' #
#' # radar<-
#' # data_prueba %>%
#' # select(starts_with("q0008_")) %>%
#' # sjlabelled::label_to_colnames() %>%
#' # pivot_longer(everything(), names_to = "pregunta", values_to = "numero") %>%
#' # mutate(nombres=sjlabelled::as_label(numero)) %>%
#' # group_by(pregunta, numero, nombres) %>%
#' # dplyr::summarize(Freq = n()) %>%
#' # group_by(pregunta) %>%
#' # dplyr::mutate(prop = round_half_up(Freq/sum(Freq), digits = 2),
#' # numero = as.character(numero),
#' # nombres = as.character(nombres)) %>%
#' # separate(pregunta, c("Servicio","group", NA), sep=" - ") %>%
#' # filter(nombres!="No") %>%
#' # select(-c(numero, nombres, Freq)) %>%
#' # group_by(group) %>%
#' # pivot_wider(names_from = Servicio, values_from = prop) %>%
#' # mutate(
#' # group=case_when(
#' # group %in% "Conoce este servicio de bienestar que brinda la universidad" ~ "Lo conoce",
#' # TRUE ~ group)
#' # ) %>%
#' # ungroup()
#' #
#' # radar.tag<-
#' # data_prueba %>%
#' # select(starts_with("q0008_")) %>%
#' # nrow()
#' #
#' # radar %>%
#' # select(group, `Servicio de Salud`, `Servicio de actividad fisica y deportes`, `Bienestar psicologico`, `Servicios Culturales`) %>%
#' # grafico_radar(polygonfill = FALSE,
#' # grid.label.size = 3,
#' # axis.label.size = 3,
#' # group.line.width = 1,
#' # fullscore = as.numeric(rep(1,ncol(.)-1))
#' # ) +
#' #
#' # labs(caption = "Elaborado por Pulso PUCP",
#' # tag = glue("N=",radar.tag)) +
#' #
#' # theme(legend.title = element_blank(),legend.position = "bottom",legend.text = element_text(size=10, face = "bold",family="sans"),legend.key.height = unit(.2, "cm"),
#' # plot.caption = element_text(face = "italic",family="sans"),plot.margin = unit(c(0,0,1,0),"cm"),plot.tag = element_text(size = 8, color="grey40"),plot.tag.position = "bottomleft",
#' #
#' # text = element_text(size = 9, color="#002060",family="sans"),
#' # ) +
#' # guides(color=guide_legend(nrow = 2, byrow = TRUE)) +
#' # coord_equal(clip="off")
#'
#'
#' @export
tabla_pulso<-function(data, main_var=NULL, sub_var=NULL, filtrar=TRUE, titulo=titulo1){
#switch
#switch_main_var
switch_sub_var <- tidyselect::eval_select(enquo(sub_var), data[unique(names(data))])
switch_sub_var <- names(switch_sub_var)
switch_sub_var <- switch_sub_var %>% table() %>% sum() %>% as.numeric()
#switch_main_var
switch_main_var <- tidyselect::eval_select(enquo(main_var), data[unique(names(data))])
switch_main_var <- names(switch_main_var)
switch_main_var <- switch_main_var %>% table() %>% sum() %>% as.numeric()
#titulo de la tabla
titulo1<-
data %>%
select({{main_var}}) %>%
get_label() %>%
unique()
#labels
pop<-
data %>%
select({{main_var}}) %>%
names()
labels<-
tibble(
numero=if(is.numeric(unlist(sjlabelled::get_values(data[,pop]), use.names = FALSE)) ){as.character(unlist(sjlabelled::get_values(data[,pop]), use.names = FALSE))} else {NA},
nombres=unlist(sjlabelled::get_labels(data[pop]), use.names = FALSE),
)
#1. opción múltiple sin cruce
if (switch_main_var == 1 & switch_sub_var == 0){
t0<-data %>%
filter({{filtrar}}) %>%
select({{main_var}}) %>%
drop_na() %>% #se van los filtrados
mutate(across(everything(), ~replace(., .==0, NA))) %>% #SIN INF pasa a ser los nuevos NA
haven::as_factor() %>%
mutate(across(everything(), ~forcats::fct_drop(., labels[labels$numero==0, ]$nombres))) %>% #dropear categoria SIN INF de factor
gtsummary::tbl_summary(statistic = all_categorical()~ "{p}% ({n})",
digits = list(everything() ~ c(2, 0)),
missing_text = "No sabe / No responde",
label = everything() ~ "") %>%
modify_header(label ~ "") %>%
bold_labels() %>%
remove_row_type(variables = everything(),type = c("header")) %>%
modify_footnote(update = everything() ~ NA) %>%
as_flex_table() %>%
add_header_lines(titulo) %>%
add_footer_lines("% (n) \nFuente: Pulso PUCP") %>%
italic(italic = TRUE, part = "header") %>%
set_table_properties(layout = "autofit") %>%
fontsize(size = 9, part = "all") %>%
height(height = 0.75, part = "body")
t0
}else
#2. opción múltiple con cruce
if (switch_main_var == 1 & switch_sub_var > 0){
fn_subtable <- function(data, main, sub){
data %>%
filter({{filtrar}}) %>%
dplyr::select({{main}},{{sub}}) %>%
drop_na() %>% #se van los filtrados
mutate(across(everything(), ~replace(., .==0, NA))) %>% #SIN INF pasa a ser los nuevos NA
haven::as_factor() %>%
mutate(across(everything(), ~forcats::fct_drop(., labels[labels$numero==0, ]$nombres))) %>% #dropear categoria SIN INF de factor
gtsummary::tbl_summary(
by = {{sub}},
statistic = gtsummary::all_categorical()~ "{p}% ({n})",
digits = list(dplyr::everything() ~ c(2, 0)),
missing_text = "No sabe / No responde",
label = everything() ~ "") %>%
remove_row_type(variables = everything(),type = c("header")) %>%
modify_footnote(update = everything() ~ NA)
}
#main var
main_var <- rlang::enexpr(main_var)# 1. Capture `list(...)` call as expression
#subvar
sub_var <- tidyselect::eval_select(enquo(sub_var), data[unique(names(data))])
sub_var <- names(sub_var)
sub_var1 <- rlang::syms(sub_var)
#tbl main var
t0 <- data %>%
filter({{filtrar}}) %>%
dplyr::select({{main_var}}) %>%
drop_na() %>% #se van los filtrados
mutate(across(everything(), ~replace(., .==0, NA))) %>% #SIN INF pasa a ser los nuevos NA
haven::as_factor() %>%
mutate(across(everything(), ~forcats::fct_drop(., labels[labels$numero==0, ]$nombres))) %>% #dropear categoria SIN INF de factor
gtsummary::tbl_summary(statistic = gtsummary::all_categorical() ~ "{p}% ({n})",
digits = list(dplyr::everything() ~ c(2, 0)),
missing_text = "No sabe / No responde",
label = everything() ~ "") %>%
gtsummary::modify_header(label ~ "") %>%
gtsummary::bold_labels() %>%
remove_row_type(variables = everything(),type = c("header")) %>%
modify_footnote(update = everything() ~ NA)
#tbl sub_var1
sub_tables <- purrr::map(sub_var1, ~fn_subtable(data = data, main = main_var, sub = .x))
#titulos variables cruce
sub_var_labels<-
data %>%
select(sub_var) %>%
get_label()
#merge
tbls <- c(list(t0), sub_tables) %>%
gtsummary::tbl_merge(tab_spanner = c("**Total**", paste0("**",sub_var_labels,"**"))) %>%
bold_labels() %>%
as_flex_table() %>%
add_header_lines(titulo) %>%
add_footer_lines("% (n) \nFuente: Pulso PUCP") %>%
italic(italic = TRUE, part = "header") %>%
set_table_properties(layout = "autofit") %>%
fontsize(size = 9, part = "all") %>%
height(height = 0.75, part = "body")
tbls
}else
#3. respuesta múltiple sin cruce
if (switch_main_var > 1 & switch_sub_var == 0){
tbl<-data %>%
filter({{filtrar}}) %>%
select({{main_var}}) %>%
sjlabelled::as_label() %>%
gtsummary::tbl_summary(
statistic = all_categorical() ~ "{p_nonmiss}% ({n})",
digits = list(dplyr::everything() ~ c(2, 0)),
missing = "no",
label = everything() ~ "") %>%
modify_footnote(update = everything() ~ NA) %>%
remove_row_type(-1) %>%
modify_header(label ~ "") %>%
bold_labels() %>%
remove_row_type(variables = everything(),type = c("header")) %>%
as_flex_table() %>%
add_header_lines(titulo) %>%
add_footer_lines("Fuente: Pulso PUCP") %>%
italic(italic = TRUE, part = "header") %>%
set_table_properties(layout = "autofit") %>%
fontsize(size = 9, part = "all") %>%
height(height = 0.75, part = "body")
tbl
}else
#4. respuesta múltiple con cruce
if(switch_main_var > 1 & switch_sub_var > 0){
fn_subtable <- function(data, main, sub){
data %>%
filter({{filtrar}}) %>%
dplyr::select({{main}},{{sub}}) %>%
sjlabelled::as_label() %>%
gtsummary::tbl_summary(
by = {{sub}},
statistic = all_categorical() ~ "{p_nonmiss}% ({n})",
digits = list(dplyr::everything() ~ c(2, 0)),
missing = "no",
label = everything() ~ "") %>%
modify_footnote(update = everything() ~ NA) %>%
remove_row_type(-1) %>%
modify_header(label ~ "") %>%
bold_labels() %>%
remove_row_type(variables = everything(),type = c("header"))
}
#subvar
sub_var <- tidyselect::eval_select(enquo(sub_var), data[unique(names(data))])
sub_var <- names(sub_var)
sub_var1 <- rlang::syms(sub_var)
#tbl main var
t0 <-data %>%
filter({{filtrar}}) %>%
select({{main_var}}) %>%
sjlabelled::as_label() %>%
gtsummary::tbl_summary(
statistic = all_categorical() ~ "{p_nonmiss}% ({n})",
digits = list(dplyr::everything() ~ c(2, 0)),
missing = "no",
label = everything() ~ "") %>%
modify_footnote(update = everything() ~ NA) %>%
remove_row_type(-1) %>%
modify_header(label ~ "") %>%
bold_labels() %>%
remove_row_type(variables = everything(),type = c("header"))
#tbl sub_var1
sub_tables <- purrr::map(sub_var1, ~fn_subtable(data = data, main = main_var, sub = .x))
#titulos variables cruce
sub_var_labels<-
data %>%
select(sub_var) %>%
get_label()
#merge
tbls <- c(list(t0), sub_tables) %>%
gtsummary::tbl_merge(tab_spanner = c("**Total**", paste0("**",sub_var_labels,"**"))) %>%
bold_labels() %>%
as_flex_table() %>%
add_header_lines(titulo) %>%
add_footer_lines("% (n) \nFuente: Pulso PUCP") %>%
italic(italic = TRUE, part = "header") %>%
set_table_properties(layout = "autofit") %>%
fontsize(size = 9, part = "all") %>%
height(height = 0.75, part = "body")
tbls
}else
{return("Error. Necesitas proporcionar al menos una variable.")}
}
#