Arrange data frame by all columns using dplyr...

Failure to rename duplicate column names with dplyr rename() and rename_with()...

replace_na with tidyselect?...

dplyr::select() with some variables that may not exist in the data frame?...

How to write a function with ... (dot-dot-dot) that can also accept tidyselect helpers?...

Rename columns of R dataframe with tidyselect and regular expression...

Issue with selecting negative values in dplyr with embrace {{ arg }}...

Check if a tidyselect is NULL and if so, set a default tidyselect method...

R: Tidyverse selection semantics tidyselect::eval_select appending numbers to duplicates...

Remove string in multiple variables in R...

Using quoted variables in a custom dplyr wrapper function...

Programming with dplyr: Renaming a column with variable using glue syntax...

Drop column range starting with first column matching regex...

How to reconcile .data pronouns with rlang::enquo...

Pass column names to dplyr::coalesce() when writing a custom function...

Why the tidyselect helper function "where" can be detected inside the dplyr helper functio...

Select multiple date columns and convert factor variables to date...

Evaluation with dplyr::select does not work in my function...

R: adapt mutate call from handling three binary variables to n binary variables...

How to splice a tidyselect-style list of column names into a call of my function...

Mutate multiple variable to create multiple new variables...

Adding tidyselect helper functions to a vector...

Since .key is deprecated how it is possible to rename the data column in nest()?...

R Replace NA for all Columns Except *...

Specify the dots argument when calling a tidyselect-using function without needing to specify the pr...

How to initialize a variable with a tidyselect helper?...

Use tidyselect select helpers in functions that do not implement them...

renaming column names with dplyr using tidyselect functions...

How can I capture the changes made to a data.frame in dplyr::select?...

selecting specific columns using `tidyselect` in `dplyr::filter_at`...