More Related Contents:
- R transpose and group by
- Aggregate / summarize multiple variables per group (e.g. sum, mean)
- Collapse / concatenate / aggregate a column to a single comma separated string within each group
- Count number of rows within each group
- Faster ways to calculate frequencies and cast from long to wide
- Aggregating by unique identifier and concatenating related values into a string [duplicate]
- Extract row corresponding to minimum value of a variable by group
- Group by multiple columns and sum other multiple columns
- Add count of unique / distinct values by group to the original data
- Select the first and last row by group in a data frame
- Select the top N values by group
- Apply function conditionally
- Aggregate multiple columns at once [duplicate]
- Aggregate a dataframe on a given column and display another column
- Aggregate a data frame based on unordered pairs of columns
- Compute mean and standard deviation by group for multiple variables in a data.frame
- aggregate methods treat missing values (NA) differently
- Group integer vector into consecutive runs
- dplyr issues when using group_by(multiple variables)
- Returning first row of group
- Get the means of sub groups of means in R
- Apply several summary functions (sum, mean, etc.) on several variables by group in one call
- Aggregate data in R
- How to group data.table by multiple columns?
- How to group by two columns in R
- R use ddply or aggregate
- Run a custom function on a data frame in R, by group
- Aggregating all unique values of each column of data frame
- use rollapply and zoo to calculate rolling average of a column of variables
- How can I count the number of NAs per group?