tuned.sPLSDACV: Runs a cross-validation scheme for a tuned.splsda model once
In singha53/amritr: Accessory Functions Used by Amrit Singh
Description
estimate the error rate and AUC of tuned.splsda panel
Usage
1
tuned.sPLSDACV(object, folds)
Arguments
folds
list of length M where each element contains the indices of the samples in that fold
X
nxp dataset
Y
vector of phenotype labels with names(Y) == rownames(X)
ncomp
number of components
progressBar
= TRUE/FALSE
keepXgrid
sequence of integers (# of variables to select per component)
validatoin
"Mfold" or "loo"
M
Number of folds in the cross-validation
singha53/amritr documentation built on July 21, 2019, 3:46 p.m.
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.
Description
estimate the error rate and AUC of tuned.splsda panel
Usage
1 | tuned.sPLSDACV(object, folds)
|
Arguments
folds |
list of length M where each element contains the indices of the samples in that fold |
X |
nxp dataset |
Y |
vector of phenotype labels with names(Y) == rownames(X) |
ncomp |
number of components |
progressBar |
= TRUE/FALSE |
keepXgrid |
sequence of integers (# of variables to select per component) |
validatoin |
"Mfold" or "loo" |
M |
Number of folds in the cross-validation |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.