transform_data: Transform data frame based on row and column definitions

In tud-ise/rescuetime-r-wrapper: RescueTime Wrapper

Transform data frame based on row and column definitions

Description

Transform data frame based on row and column definitions

Usage

transform_data(data, row_column, col_column, value_columns = c("Time"))

Arguments

data	data.frame with rows and columns
row_column	string the column that contains the values for the transformed row
col_column	string the column that contains the values for the transformed columns
ignored_columns	array list of columns to ignore as value columns

Value

a data frame that has a row for each entry of the values in the row_column and columns for each value of the col_column

Examples

new_data <- transform_data(data, "Date", "Category")

tud-ise/rescuetime-r-wrapper documentation built on May 15, 2023, 6:26 a.m.