More Related Contents:
- Aggregate / summarize multiple variables per group (e.g. sum, mean)
- Understanding exactly when a data.table is a reference to (vs a copy of) another data.table
- Fastest way to replace NAs in a large data.table
- Fastest way to add rows for missing time steps?
- Assign multiple columns using := in data.table, by group
- How to replace NA values in a table for selected columns
- data.table join then add columns to existing data.frame without re-copy
- Why is plyr so slow?
- Merge rows in a dataframe where the rows are disjoint and contain NAs
- Replace logical values (TRUE / FALSE) with numeric (1 / 0)
- Cleaning `Inf` values from an R dataframe
- write.csv for large data.table
- DT[!(x == .)] and DT[x != .] treat NA in x inconsistently
- Merge overlapping ranges into unique groups, in dataframe
- What you can do with a data.frame that you can’t with a data.table?
- Subset data frame based on number of rows per group
- Drop data frame columns by name
- Convert data.frame columns from factors to characters
- Select the first row by group
- Calculate row means on subset of columns
- How does one reorder columns in a data frame?
- R spreading multiple columns with tidyr [duplicate]
- Replacing values from a column using a condition in R
- Split data.frame by value
- Remove columns from dataframe where some of values are NA
- Check whether values in one data frame column exist in a second data frame
- How do you remove columns from a data.frame?
- Subsetting data.table by 2nd column only of a 2 column key, using binary search not vector scan
- Conditional binary join and update by reference using the data.table package
- Adding column if it does not exist