var_select: Fonction var_select
In Dampeel/plsda: PLS algorithm used for discriminant analysis
Description
This function takes a plsda model and selects variables from the X matrix using the VIP values returned.
Usage
1
var_select(model, vs_crit, X, Y, ncomp)
Arguments
model
A plsda object containing a trained model. The model can be generated with the fit function of this package.
vs_crit
Treshold value for the variables selection (vs=TRUE). Default value : 1 (fit fonction)
X
The X matrix of predictors
Y
The Y matrix of binarized response
ncomp
The number of component to be used
Dampeel/plsda documentation built on May 23, 2019, 8:19 p.m.
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Description
This function takes a plsda model and selects variables from the X matrix using the VIP values returned.
Usage
1 | var_select(model, vs_crit, X, Y, ncomp)
|
Arguments
model |
A plsda object containing a trained model. The model can be generated with the fit function of this package. |
vs_crit |
Treshold value for the variables selection (vs=TRUE). Default value : 1 (fit fonction) |
X |
The X matrix of predictors |
Y |
The Y matrix of binarized response |
ncomp |
The number of component to be used |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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