how to split table into 2 pages in R markdown using datasummary?-CodePudding

I am trying to create a table using datasummary via R Markdown. My table is, however, very long with many variables. Please see example code below:

---
title: "R Notebook"
output:
  pdf_document: default
  html_notebook: default
  html_document:
    df_print: paged
---

Table 1 example:

```{r, warning=FALSE, message=FALSE, echo=FALSE, include=FALSE, fig.pos="H"}
library(magrittr)
library(tidyverse)
library(kableExtra)
library(readxl)
library(modelsummary)
library(scales)

tmp <- mtcars

tmp$test2 <- tmp$mpg
tmp$test3 <- tmp$cyl
tmp$test4 <- tmp$disp
tmp$test5 <- tmp$hp
tmp$test6 <- tmp$drat
tmp$test7 <- tmp$wt
tmp$test8 <- tmp$qsec
tmp$test9 <- tmp$vs
tmp$test10 <- tmp$am
tmp$test11 <- tmp$gear
tmp$test12 <- tmp$carb
tmp$test13 <- tmp$mpg
tmp$test14 <- tmp$cyl
tmp$test15 <- tmp$disp
tmp$test16 <- tmp$hp
tmp$test17 <- tmp$drat
tmp$test18 <- tmp$wt
tmp$test19 <- tmp$qsec
tmp$test20 <- tmp$vs
tmp$test21 <- tmp$am
tmp$test22 <- tmp$gear
tmp$test23 <- tmp$mpg
tmp$test24 <- tmp$cyl
tmp$test25 <- tmp$disp
tmp$test26 <- tmp$hp
tmp$test27 <- tmp$drat
tmp$test28 <- tmp$wt
tmp$test29 <- tmp$qsec
tmp$test30 <- tmp$vs
tmp$test31 <- tmp$am
tmp$test32 <- tmp$gear
tmp$test33 <- tmp$mpg
tmp$test34 <- tmp$cyl
tmp$test35 <- tmp$disp
tmp$test36 <- tmp$hp
tmp$test37 <- tmp$drat
tmp$test38 <- tmp$wt
tmp$test39 <- tmp$qsec
tmp$test40 <- tmp$vs
  
# create a list with individual variables
# remove missing and rescale
tmp_list <- lapply(tmp, na.omit)
tmp_list <- lapply(tmp_list, scale)

# create a table with `datasummary`
# add a histogram with column_spec and spec_hist
# add a boxplot with colun_spec and spec_box
emptycol = function(x) " "
final_4_table <- datasummary(mpg   cyl   disp   hp   drat   wt   qsec   vs   am   gear   carb   test2   test3   test4   test5   test6   test7   test8   test9   test10   test11   test12   test13   test14   test15   test16   test17   test18   test19   test20   test21   test22   test23   test24   test25   test26   test27   test28   test29   test30   test31   test32   test33   test34   test35   test36   test37   test38   test39   test40 ~ N   Mean   SD   Heading("Boxplot") * emptycol   Heading("Histogram") * emptycol, data = tmp, title = "Title of my table.", notes = list("note2", "note1")) %>%
    column_spec(column = 5, image = spec_boxplot(tmp_list)) %>%
    column_spec(column = 6, image = spec_hist(tmp_list))

```


```{r finaltable, echo=FALSE}
final_4_table
```

The output does not fit in 1 page as per the below and I do not get another page with the remaining variables:

How can I make sure the table is split into 2 in this example, moving to the following page with title saying "Title of my table. (continued)"?

I checked tables package vignette and by including the below information for longtable gives me the same output:

final_4_table <- datasummary(mpg   cyl   disp   hp   drat   wt   qsec   vs   am   gear   carb   test2   test3   test4   test5   test6   test7   test8   test9   test10   test11   test12   test13   test14   test15   test16   test17   test18   test19   test20   test21   test22   test23   test24   test25   test26   test27   test28   test29   test30   test31   test32   test33   test34   test35   test36   test37   test38   test39   test40 ~ N   Mean   SD   Heading("Boxplot") * emptycol   Heading("Histogram") * emptycol, data = tmp, title = "Title of my table.", notes = list("note2", "note1"), options = list(tabular="longtable",
          toprule="\\caption{This table crosses page boundaries.}\\\\
\\toprule", midrule="\\midrule\\\\[-2\\normalbaselineskip]\\endhead\\hline\\endfoot")) %>%
    column_spec(column = 5, image = spec_boxplot(tmp_list)) %>%
    column_spec(column = 6, image = spec_hist(tmp_list))

CodePudding user response：

Is this suit for you?

```{r}
library(knitr)
library(kableExtra)

kable(iris[1:55, ], longtable = TRUE, caption = "Long-long-table") %>% #try to change iris[1:55, ] to final_4_table
    kable_styling(latex_options = c("repeat_header")) 
```

CodePudding user response：

@manro put you on the right track here. The trick is to use the longtable=TRUE argument.

Behind the scenes, modelsummary calls the kbl function from the kableExtra package to produce a table. All the arguments which are not explicitly used by datasummary() are automatically pushed forward to the kbl function via the ... ellipsis. This means that you can define the longtable argument directly in the datasummary() call. For example:

datasummary(mpg   hp ~ Mean   SD, data = mtcars, longtable = TRUE)

The above is a minimal example. I tried passing the longtable=TRUE argument in the same way in your more complex example, and your Rmarkdown document compiled without problems on my machine.