create_long_data_frame: Reshape wide data frame with combined column names

In eufmdis.adapt: Analyse 'EuFMDiS' Output Files via a Shiny App

Reshape wide data frame with combined column names

Description

The function identifies columns whose name contains a combination of two categorical characteristics (e.g. farm type and output parameter), splits them up and reshapes the data to a long format.

Usage

create_long_data_frame(dat, categories, name_categories, starts_with = FALSE)

Arguments

dat	Data frame with combined column names (e.g. type_A_farms, type_B_farms, type_A_animals, type_B_animals)
categories	Character vector of possible values of categories in the column names (e.g. c("type_A", "type_B"))
name_categories	Character; name of the newly created column that contains the categories in the long data frame
starts_with	Logical; Flag indicating how the combined columns should be identified. starts_with = TRUE enforces a stricter search mode where only columns are considered whose name starts with the given string.

Details

The function looks for combined columns based on the category names provided in the argument categories. Two modes of searching are possible: starts_with = FALSE (=default) looks for all columns whose name contains the strings in categories, whereas starts_with = TRUE only includes columns whose name starts with the string. Relevant combinations of #' values that are not found in the wide data frame are filled with NA in the ling data frame.

Value

A long data frame where the combined columns have been split up

Author(s)

Ian Kopacka

eufmdis.adapt documentation built on Sept. 12, 2023, 9:06 a.m.