plotScores {ConsensusOPLS} | R Documentation |
Score plot
Description
Plot of samples in the space of latent variables of the optimal model.
Usage
plotScores(object, comp1 = "p_1", comp2 = "o_1", col = NULL, pch = 19, ...)
## S4 method for signature 'ConsensusOPLS'
plotScores(object, comp1 = "p_1", comp2 = "o_1", col = NULL, pch = 19, ...)
Arguments
object |
An object of class |
comp1 |
Latent variable for abscissa. Default, the first predictive
component, |
comp2 |
Latent variable for ordinate. Default, the first orthogonal
component, |
col |
A vector of color codes or names. Default, NULL, generated
following the |
pch |
Graphic symbol. Default, 19. |
... |
|
Value
No return value, called for side effects.
[Package ConsensusOPLS version 1.0.0 Index]