Reference the current state of a piped object in R pipe subfunction...

Create a column in a dataframe based on comparisons of multiple columns in the original and a second...

Calculating percentages across multiple columns in dplyr...

How to fill down a given text up to another given text and so on in R?...

Calculate svymean for variable within user-defined function called by mutate(), across(), with varia...

Using .keep and .before in dplyr::mutate() While Overwriting a Column Name with the same Name...

Mutating to return the average of a column in each row...

Can we avoid repeating the column name each time when using it in mutates...

Mutate to concatenate columns that contain a specific string in their names...

Problems with mutate(), across (), and Winsorize ()...

Populate a blank row of data using a mutate(across(casewhen())) call to calculate values...

Create a custom function to avoid extreme rate...

How to mutate all values except for a vector of selected values with case_when()...

Issues using gsub to rename multiple columns...

Why replace_na with mutate doesn't work as expected?...

Count number of characters with column name in dynamic variable...

Use mutate and case_when in empty columns...

How to normalise two categories of season with an uneven number of months using the function mutate(...

find the first TRUE within a group...

Mutate the column name from the corresponding selected value among many columns...

Using a custom case_when function in dplyr mutate...

mutate columns in R that start with a particular letter - converting character to numeric...

in R, add the value of a column (rowwise) to any column that is named as a date (and output the resu...

efficient R code to assign timestamp (vintage) to each row in a dataframe, based on related rows in ...

Is there a more compact way of writing chains of piped mutate calls?...

How to extract numeric data from data with duplicate column names？...

How can I use a function and `across()` in to mutate a conditional column to a `tibble`?...

Modify the values ​of a variable...

Add a new variable to dataframe after applying lubridate to datetime...

R index, filter then match on multiple criteria. Easy in excel, not so in r...