Scale numeric covariates

The module by default scales all numeric covariates. By default conducts a regular standardisation: minus the mean and divide by the standard deviation. If Gelman = TRUE then divides by 2 sd as suggested by Gelman. Excluded covariates are not standardised.

StandardiseCov(.data, Gelman = FALSE, exclude = NULL)

Arguments

.data
Internal parameter, do not use in the workflow function. .data is a list of a data frame and a raster object returned from occurrence modules and covariate modules respectively. .data is passed automatically in workflow from the occurrence and covariate modules to the process module(s) and should not be passed by the user.
Gelman
Option to divide by two rather than one standard deviation.
exclude
Variable names of numeric variables to exclude from standardisation

Details

Data type

presence-only, presence/absence, abundance, proportion

Version

0

Date submitted

2016-06-16

See also

Other process: AddRandomUniformPredictors, BackgroundAndCrossvalid, Background, Bootstrap, Clean, Crossvalidate, JitterOccurrence, MESSMask, NoProcess, OneHundredBackground, OneThousandBackground, PartitionDisc, TargetGroupBackground, Transform, addInteraction

Author

Alison Johnston & Carsten F. Dormann, alison.johnston@bto.org