Calculate the median date based on two grouping conditions...

Aggregate and summarise character object with R...

sum of multiple columns using group_by function...

Aggregate and summarise dataset information with R...

How to summarise and subset multi-level grouped dataframe in dplyr and R...

R - create summary table of means and counts by group for multiple columns...

Dplyr: using summarise across to take mean of columns only if row value > 0...

How to solve an error with sum calculations?...

How to replace na in a column with the first non-missing value without dropping cases that only have...

extracting matching variable in summarize()...

Incorrect values when summing values in a column according to other 3 columns...

Group by and mean on dataset in R...

summarise_all with additional parameter that is a vector...

grouped summarize still gives result for each individual row...

Get a summary for all combinations of grouping like proc summary in SAS...

collapse a dataframe in R that contains both numeric and character variables...

How to summarise long data into new wide format variables and keep improtant group information in R...

Subtracting cell in one row from cell in another row when summarizing grouped data with dplyr?...

Dplyr Summarise Groups as Column Names...

Sum is not computed over groups (always gives the absolute total)...

Error in dplyr group_by %>% summarize_if()...

What is the correct way to calculate Mean across all variables by grouping...

Summarize and/or Transpose similar rows into columns...

R sum using group_by, select groups with large sum, then repeat sum using different group_by...

R Group_by/Summarise not returning expected results...

Summaries based on one reference column compared to the other columns in dplyr...

Getting summary by group and overall using tidyverse...

Is there a way to get a COUNTIF like summary in R that also shows proportions?...

is there a R function (or sequence of steps) to grouping and summarise (count) a dataframe like this...

Divide monthly summary of column by value in other column using dplyr...