sset_df: Fast functions for data frame subsetting

In cheapr: Simple Functions to Save Time and Memory

Fast functions for data frame subsetting

Description

These functions are for developers that need minimal overhead when filtering on rows and/or cols.

Usage

sset_df(x, i = NULL, j = NULL, ...)

sset_row(x, i = NULL)

sset_col(x, j = NULL)

Arguments

x	A data.frame.
i	Rows - If NULL all rows are returned.
j	Cols - If NULL all cols are returned.
...	Unused.

Details

If you are unsure which functions to use then it is recommended to use sset(). These low-overhead helpers do not work well with data.tables but should work well with basic data frames and basic tibbles. The only real difference between sset_df and sset_row/sset_col is that sset_df attempts to return a similar type of data frame as the input, whereas sset_row and sset_col always return a plain data frame.

Value

A data frame subsetted on rows i and cols j.

cheapr documentation built on June 8, 2025, 11:35 a.m.