no visible binding for global variable ‘.’

Question

I\'m currently co-developing an R package using devtools. We use the\ntidyverse %>% and associated purrr and dplyr packages within our\nfunctions.

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One of our functions is as follows (edited for clarity):

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#\' Print `cust_modl` object\n#\'\n#\' @param x A `cust_modl` object.\n#\' @param ... Additional arguments passed to `print.cust_modl()` to print the\n#\'   object.\n#\'\n#\' @method print cust_modl\n#\' @export\nprint.cust_modl <- function(x, ...) {\n\nreq_var_nms <- x$var %>%\npurrr::compact(.x = .) %>%\nnames(x = .)\n\ncomp_var_ind_filt <- req_var_nms %>%\npurrr::map(.x = ., .f = ~ purrr::pluck(x$var, .x))\n\n}\n

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This is currently giving an NOTE in our Github Actions devtools::check() as:

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print.cust_modl: no visible binding for global variable \xe2\x80\x98.\xe2\x80\x99\n

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I understand that this error is due to rlang related issues based on this helpful post. So typically we use @importFrom rlang .data as suggested and ensure\nthat in dplyr we carry the .data$ syntax correctly when referencing columns.

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However, it seems that this NOTE was being given by the purrr calls and it is not\nclear how to correct the rlang import for just the . (rather than the usual more explicit\n.data call in dplyr).

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Could anyone please explain how to correctly adjust R package code for the . as called by\ntidyverse packages such as purrr? I understand that we can locally set . <- NULL, but is there a more rigorous way to set this using rlang? Understanding the recommended guidelines here would allow our package to be developed to community standards.

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免责声明：由于几天没有收到回复，因此现在从此处交叉发布。

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Answer 1

此警报来自codetools包。codetools除了其他解决方案之外，在 R CMD 检查中还有一个不完全使用的选项。在您的~/.Renviron文件中（要从 R 控制台快速打开，请使用usethis::edit_r_environ()），添加一行，如下所示：

_R_CHECK_USE_CODETOOLS_= FALSE

如果您进行大量 NSE 并引发许多错误警报，则建议您这样做。