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I am helping a client improve a suite of R packages that they use internally. We have come across a question and are not sure if the answer is substantive or just one of style. I'm hoping that the community can help.

I've installed Aspell where I get a desktop icon-as in I can drag and drop text files in it and the spell check works as expected. However, when I try using the aspell function in Rstudio, I get th. In the Terminal, as with all tasks, finding files requires you know how to use a few basic commands. The three that will be most useful in OS X are the “find” command, the “mdfind” command, and the “locate” command. When run, these commands will search for a specific query and then output the full path to all resulting files that.

Background: The packages succeed at doing something useful to the organization. But they were written without any regard to passing R CMD check. Most of my current effort is around helping make the packages pass R CMD check.

As a toy example, the packages previously listed dplyr in Depends:, and had a lot of functions like this:

Note that there was no @importFrom dplyr select. The code works because dplyr is listed in Depends:. But it triggers two NOTEs:

checking dependencies in R code .. NOTE
Package in Depends field not imported from: ‘dplyr’
These packages need to be imported from (in the NAMESPACE file)
for when this namespace is loaded but not attached.

checking R code for possible problems .. NOTE
happy_select: no visible global function definition for ‘select’
Undefined global functions or variables:
select

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I fixed the NOTEs like these by moving dplyr from Depends: to Imports: and adding #' @importFrom dplyr select. Note that if you have a large number of packages in Depends: (as we did) you also get the NOTE:

Depends: includes the non-default packages:
..
Adding so many packages to the search path is excessive and importing
selectively is preferable.

The functions now look like this, and generate no complaints from R CMD check.

My client now asked me an interesting question that I am not sure the answer of. They have seen a lot of code that always specifies the package you want to call the function from. Using that convention, the last line of happy_select would be dplyr::select(df, ..) instead of just select(df, ..).

My personal opinion is that:

1. R CMD check seems to not care either way, so the code is likely 'safe' as-is and
2. dplyr::select seems more cautious, and might be useful to future readers who don't know where select is coming from

That is, I don't really have a strong opinion on this one way or the other. Is there an accepted convention for this in the community? And if so, is there anything substantive to back it up rather than just aesthetics? Mass effect 2 gibbed save editor change hair color.

Thanks.

For lapply, sapply(simplify = FALSE) and replicate(simplify = FALSE), a list.

For sapply(simplify = TRUE) and replicate(simplify = TRUE): if X has length zero or n = 0, an empty list. Otherwise an atomic vector or matrix or list of the same length as X (of length n for replicate). If simplification occurs, the output type is determined from the highest type of the return values in the hierarchy NULL < raw < logical < integer < double < complex < character < list < expression, after coercion of pairlists to lists. Imvu mac os.

vapply returns a vector or array of type matching the FUN.VALUE. If length(FUN.VALUE) 1 a vector of the same length as X is returned, otherwise an array. If FUN.VALUE is not an array, the result is a matrix with length(FUN.VALUE) rows and length(X) columns, otherwise an array a with dim(a) c(dim(FUN.VALUE), length(X)).

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The (Dim)names of the array value are taken from the FUN.VALUE if it is named, otherwise from the result of the first function call. Column names of the matrix or more generally the names of the last dimension of the array value or names of the vector value are set from X as in sapply.