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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?


Solution

  • 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).