CODEWITHSUNDEEP
rdevtoolsrlangtidyeval
runningbirds
runningbirds

Reputation: 6615

Downloading/installing package from github converting underlying R code

I have a private R package on github that I have made.

I make use of !!rlang::sym(function_argument) frequently to accept inputs from functions and use with tidyverse.

For example:

example_function = function(x){

new = mtcars %>% arrange(desc(!!rlang::sym(x))

return(new)
}
 example_function('mpg')

So I have this uploaded to a private github, and then if I go to install it - devtools::install_git('myaccount/myrepo')

when I look at the underlying code in the function 

myinstalled_package::example_function

It shows as !(!rlang::sym wherever I had !!rlang::sym. The function still actually works, but again, when I examine the code it doesn't. I looked on github and the code is correct there, it is just when I download it to my computer that I have this really annoying conversion.

I am also seeing other similar changes such as if I had !!each_var := being converted to :=(!(!each_var),

Is there anyway to stop this or why this is happening?

Upvotes: 0

Views: 44

Answers (1)

Aurèle
Aurèle

Reputation: 12839

Quoting an answer by Jim Hester on GitHub:

The way R code is displayed by lookup is handled solely by R's internal layout code.

It is recommended you install packages with source references by setting options("keep.source" = TRUE, "keep.source.pkgs" = TRUE) to ensure source references are available. If they are you will find the output is exactly that in the original source file, e.g.

> lookup::lookup(dplyr:::rename.data.frame)
dplyr:::rename.data.frame [S3 method, closure] dataframe.R#L122-125
function(.data, ...) {
  vars <- rename_vars(names(.data), !!! quos(...))
  select_impl(.data, vars)
}
<environment: namespace:dplyr>

// c++ source: src/select.cpp#L79-L86
DataFrame select_impl(DataFrame df, CharacterVector vars) {
  check_valid_colnames(df);
  if (is<GroupedDataFrame>(df)) {
    return select_grouped(GroupedDataFrame(df), SymbolVector(vars), SymbolVector(vars.names()));
  } else {
    return select_not_grouped(df, SymbolVector(vars), SymbolVector(vars.names()));
  }
}

So a way to stop this from happening might be options("keep.source" = TRUE, "keep.source.pkgs" = TRUE).

Upvotes: 1

Related Questions