## 16.4 Child documents (*)

When you feel an R Markdown document is too long, you may consider splitting it into shorter documents, and include them as child documents of the main document via the chunk option child. The child option takes a character vector of paths to the child documents, e.g.,

{r, child=c('one.Rmd', 'two.Rmd')}


Since knitr chunk options can take values from arbitrary R expressions, one application of the child option is the conditional inclusion of a document. For example, if your report has an appendix containing technical details that your boss may not be interested in, you may use a variable to control whether this appendix is included in the report:

Change BOSS_MODE to TRUE if this report is to be read
by the boss:

{r, include=FALSE}
BOSS_MODE <- FALSE


Conditionally include the appendix:

{r, child=if (!BOSS_MODE) 'appendix.Rmd'}


Or if you are writing a news report on a football game that has not taken place yet, you may include different child documents depending on the outcome, e.g., child = if (winner == 'brazil') 'brazil.Rmd' else 'germany.Rmd'. Then as soon as the game (between Germany and Brazil) is finished, you can publish your report.

Another way to compile child documents is the function knitr::knit_child(). You can call this function in an R code chunk or an inline R expression, e.g.,

{r, echo=FALSE, results='asis'}
res <- knitr::knit_child('child.Rmd', quiet = TRUE)
cat(res, sep = '\n')


The function knit_child() returns a character vector of the knitted output, which we can write back to the main document with cat() and the chunk option results = 'asis'.

You can even use a child document as a template, and call knit_child() on it repeatedly with different parameters. In the example below, we run a regression using mpg as the response variable and each of the rest of variables in the mtcars data as the explanatory variable.

{r, echo=FALSE, results='asis'}
res <- lapply(setdiff(names(mtcars), 'mpg'), function(x) {
knitr::knit_child(text = c(
'## Regression on "r x"',
'',
'{r}',
'lm(mpg ~ ., data = mtcars[, c("mpg", x)])',
'',
''
), envir = environment(), quiet = TRUE)
})
cat(unlist(res), sep = '\n')


To make the above example self-contained, we used the text argument of knit_child() instead of a file input to pass the R Markdown content to be knitted. You can certainly write the content to a file, and pass a path to knit_child() instead. For example, you can save the content below to a file named template.Rmd:

## Regression on "r x"

{r}
lm(mpg ~ ., data = mtcars[, c("mpg", x)])


And knit the file instead:

res <- lapply(setdiff(names(mtcars), 'mpg'), function(x) {
knitr::knit_child(
'template.Rmd', envir = environment(), quiet = TRUE
)
})
cat(unlist(res), sep = '\n')