apply.designmatprocess: Preprocessing Input Data

In sustainablefarms/sflddata: Data Extraction Methods for the Linking Data Project

Preprocessing Input Data

Description

Preprocessing Input Data

Usage

prep.designmatprocess(indata, fmla, version = 2, ...)

apply.designmatprocess(designmatprocess, indata)

unstandardise.designmatprocess(designmatprocess, indata)

Arguments

indata	Input dataframe to be processed.
fmla	A model formula (predictor side only).
designmatprocess	Are instructions for preprocessing input data, created by prep.designmatprocess()
stoponhighcorrelation	If TRUE the preparations for a design matrix will fail if correlations between covariates are higher than 0.75
data	Dataframe to be processed.

Details

The input data is turned into a design matrix using stats::model.matrix(). Each non-constant column is then centered and scaled.

Value

A special list containing parameters for applying a preprocessing step to data.

A design matrix.

The columns of indata before centering and scaling

Functions

• prep.designmatprocess: Calculates the parameters required to build a centred and scaled design matrix from input data.

• apply.designmatprocess: Builds a centred and scaled design matrix from input data.

• unstandardise.designmatprocess: Uncentres and unscales already standardised data.

sustainablefarms/sflddata documentation built on April 19, 2022, 11:19 a.m.