Description Usage Arguments Data type Version Date submitted Author(s) See Also
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.
1 | StandardiseCov(.data, Gelman = FALSE, exclude = NULL)
|
.data |
Internal parameter, do not use in the workflow function. |
Gelman |
Option to divide by two rather than one standard deviation. |
exclude |
Variable names of numeric variables to exclude from standardisation |
presence-only, presence/absence, abundance, proportion
0
2016-06-16
Alison Johnston & Carsten F. Dormann, alison.johnston@bto.org
Other process: AddRandomUniformPredictors
,
BackgroundAndCrossvalid
,
Background
, Bootstrap
,
CarolinaWrenValidation
,
Clean
, Crossvalidate
,
JitterOccurrence
,
LonLatToCovariates
, MESSMask
,
NoProcess
,
OneHundredBackground
,
OneThousandBackground
,
PartitionDisc
, RemoveNAs
,
SubsampleOccurrence
,
TargetGroupBackground
,
Transform
, addInteraction
,
spThin
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