Function to Generate Multiple htmlTables using Purrr::map - r

Question

library(htmlTable)
library(tidyverse)
library(ggmosaic) for "happy" dataset
I want to create a function that creates frequency tables for all the categorical variables in a dataset and then generate htmlTables for each one. However, by using purrr::map, the tables are in a list. How do I generate the tables using htmlTable? Or any better package that generates similar tables for publication? I suppose I need to split the list or use additional purrr::map functions? Help would be appreciated...
Something like this...
FUN<-function(data){
TAB<-happy%>%select_if(is.factor)%>%
map(table)
TABLES<-htmlTable(TAB)
return(TABLES)
}

Answer 1

Here's a solution that uses a tibble to store the arguments to the function as well as the resulting HTML strings:
Edit: added new column (percent)
library(ggmosaic)
library(purrr)
library(tidyverse)
library(htmlTable)
library(magrittr)
library(scales)
data(happy)
# Use a subset of `happy` for the example
h <- happy %>% as_tibble %>% sample_n(100)
# create the function
make_html_table <- function(data, .name, .col_names) {
data %>%
table %>%
as.data.frame %>%
set_colnames(.col_names) %>%
as.data.frame %>%
mutate(percent = scales::percent(count/sum(count))) %>% # add the percent column
htmlTable(caption = .name)
}
# Apply the function and store the results in a tibble
tbl <-
h %>%
select_if(is.factor) %>%
{ tibble(NAME = names(.),
data = map(., ~.x)) } %>%
mutate(TABLE = map2(.x = data,
.y = NAME,
.f = make_html_table,
.col_names = c("levels", "count")))
# Check out the tables in the Viewer Pane (if you're using RStudio)
tbl %>% extract2("TABLE") %>% map(htmlTableWidget)
#> $happy
#>
#> $sex
#>
#> $marital
#>
#> $degree
#>
#> $finrela
#>
#> $health
Here's a screenshot of the one of the tables this creates: