Description Usage Arguments Details Value References See Also Examples
Performs a multiple hypotheses testing procedure to choose the number of components in the splsda analysis
1 | component.selection(object,alpha,showProgress=TRUE)
|
object |
a ‘bootsPLS’ object, as obtained from |
alpha |
Level of the test |
showProgress |
Logical. If TRUE, shows the progress of the algorithm. |
The testing procedure evaluates the gain in classification accuracy when a new PLS-component is added. This is done by on-sided t-test of level alpha
applied on the classification accuracy obtained in the ‘bootsPLS’ object. See the reference below for more details on the multiple testing procedure.
A 'component.selection' object is returned for which plot
is available.
pval |
pvalue obtained from the testing procedure. |
opt |
Number of components chosen by the procedure |
object |
input ‘bootsPLS’ object |
alpha |
input level of the test |
Rohart et al. (2016). A Molecular Classification of Human Mesenchymal Stromal Cells. PeerJ, DOI 10.7717/peerj.1845
plot.component.selection
, fit.model
, prediction
1 2 3 4 5 6 7 8 9 10 11 12 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.