How to create a column that calculates the difference between two columns for a series of rows that ...

Filtering or subsetting within a for loop...

Filtering one dataset using the Observations in another dataset...

How do I generate a new dataset based on subtracting values from existing columns in R?...

How to specify names of columns for x and y when joining in dplyr?...

How to calculate the difference between rows in a dataframe based on two conditions in other columns...

mutate to create new columns with max and mins from other columns by group...

How do I subset values squished together (by rows) in a for loop and isolate values not squished tog...

Pivot longer for multiple group of columns...

Matching elements across datasets and replacing cell from one dataset with that of another...

How to Count Unique rows in a data frame?...

Compare Two DataFrames and Replace Differences in One with the Values from the Other...

Check logic of survival timeseries...

Dividing values from categories A, B, C based on category D whitout using pivot_wider...

How can I filter rows where there are more than 3 observations?...

Marking the X previous occurences in R...

Getting mean of rows above criteria by group with dplyr...

Calculate timestamps for data with known frequency and missing data...

How to use grepl() to select specific strings in a list of dataframes?...

pairwise combinations of large number of variables using mutate()...

In R markdown, print dataframe value by group?...

stop mutate truncating column column names...

rowSums over different columns for each row...

Perform calculation using lag and dplyr to iterate by row and by group...

How to check if two strings from different columns are in the same group, when the group is another ...

Using mutate and slice_max in dplyr...

ungroup() before group_by()?...

replace values of mutiple columns with NA if another column is NA...

Excel Report Generation Issues with openxlsx in R Shiny App...

Add rows to the weather data for each day, placing the corresponding date at the top...