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...

Mutate/cut to bin grouped data by grouped break points...

How do I create a new column in my DF of daily measurements that gives me the increase between today...

issue with time zones in dataframe and POSIXct data...

mutate several combinations of var prefixes and suffixes, conditionally...

Apply function rowwise() using column names to identify function arguments using mutate()...

In R create a new column from a column using the function case_when() with multiple conditional rule...

R dplyr mutate across columns - pick first value in several columns that is greater than another...

Values not appearing in ggplot plot...

Group_by function not working for long data...

Count percentage of value "1" for each column AND for each group on specific variable...

Is there an R function that checks whether all values in a group are the same as all values in anoth...

Is there an R code that checks whether all values in a group are the same as all values in another g...

Iterating a mutate function across different variables in a dataframe...

Is there a way to balance data in R without reordering a dataframe?...

How do I create a dataframe column that constitutes a list of multiple separate column entries?...

Balance of deposit account using tidyverse / mutate...

good idea to use function that uses a for-loop in dplyr's mutate...

dplyr mutate case_when grepl not returning values correctly in R...

Replace NA in list of dfs in certain columns and under certain conditions...

Pipe operator wont work in R mutate() function...

keeping original and new variables in df...

Mutate multiple variables using across, starts_with and ifelse statement...

mutate column based on difference in col A, with rows identified by relative values in col B...