transform_coda: Transform compositional data

In Andros-Spica/cerUB: Protocols for exploring archaeometric data

Description

Transform compositional data in a given data frame and replace it.

Usage

transform_coda(data, coda_variables, method = c("CLR"), alr_base = 1,
  raw_filename = NULL, trans_filename = NULL, final_filename = NULL)

Arguments

data	Data frame containing compositional data.
coda_variables	Numeric/Character, vector containing the names/indexes of the compositional variables.
method	Character, the log-ratio transformation to be applied. "ALR" -> additive log-ratio, "CLR" -> centered log-ratio, "ILR" -> isometric log-ratio. Additionally, accepts "log" for applying logarithmic transformation and "std" for standardization (scaled and centred).
alr_base	Character/Numeric, the name/index of the variable to be used as divisor in additional log-ratio transformation. in additive log-ratio transformation.
raw_filename, trans_filename, final_filename	Character, file names for saving the raw (complete), tranformed (only coda), and final (complete) data sets.

Andros-Spica/cerUB documentation built on June 9, 2020, 9:22 p.m.