Select columns in FORCIS data — select_forcis

Selects columns in FORCIS data. Because FORCIS data contains more than 100 columns, this function can be used to lighten the data.frame to easily handle it and to speed up some computations.

Usage

select_forcis_columns(data, cols = NULL)

Arguments

data: a data.frame. One obtained by read_*_data() functions.
cols: a character vector of column names to keep in addition to the required ones (see get_required_columns()) and to the taxa columns. Can be NULL (default).

Value

A data.frame.

Examples

# Attach the package ----
library("forcis")

# Import example dataset ----
file_name <- system.file(file.path("extdata", "FORCIS_net_sample.csv"), 
                         package = "forcis")

net_data <- read.table(file_name, dec = ".", sep = ";")

# Add 'data_type' column ----
net_data$"data_type" <- "Net"

# Dimensions of the data.frame ----
dim(net_data)
#> [1] 2451   77

# Select a taxonomy ----
net_data <- select_taxonomy(net_data, taxonomy = "VT")

# Dimensions of the data.frame ----
dim(net_data)
#> [1] 2451   77

# Select only required columns (and taxa) ----
net_data <- select_forcis_columns(net_data)

# Dimensions of the data.frame ----
dim(net_data)
#> [1] 2451   77