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
- Replacing NAs with latest non-NA value
- 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
- Replace NA with previous or next value, by group, using dplyr
- Select the first and last row by group in a data frame
- Apply function conditionally
- Converting year and month (“yyyy-mm” format) to a date?
- Basic lag in R vector/dataframe
- Aggregate multiple columns at once [duplicate]
- Aggregate a dataframe on a given column and display another column
- Compute mean and standard deviation by group for multiple variables in a data.frame
- aggregate methods treat missing values (NA) differently
- Adaptive moving average – top performance in R
- Group integer vector into consecutive runs
- Creating regular 15-minute time-series from irregular time-series
- 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
- Replace -inf, NaN and NA values with zero in a dataset in R
- R: merge two irregular time series
- R use ddply or aggregate
- merging a large list of xts objects
- Combining duplicated rows in R and adding new column containing IDs of duplicates
- Run a custom function on a data frame in R, by group
- calculating sum of previous 3 rows in R data.table (by grid-square)