plot.cp {mvdalab} | R Documentation |
Plotting Function for Score Contributions.
Description
This function generates a plot an object of class score.contribution
Usage
## S3 method for class 'cp'
plot(x, ncomp = "Overall", ...)
Arguments
x |
|
ncomp |
the number of components to include the graph output. |
... |
additional arguments. Currently ignored. |
Details
A graph of the score contributions for ScoreContrib
objects.
Value
The output of plot
is a graph of score contributions for the specified observation(s).
Author(s)
Nelson Lee Afanador (nelson.afanador@mvdalab.com)
Examples
data(Penta)
mod1 <- plsFit(log.RAI ~., scale = TRUE, data = Penta[, -1],
ncomp = 2, method = "bidiagpls", validation = "loo")
Score.Contributions1 <- ScoreContrib(mod1, obs1 = 1, obs2 = 3)
plot(Score.Contributions1, ncomp = 1)
## Not run:
data(Penta)
## Number of bootstraps set to 300 to demonstrate flexibility
## Use a minimum of 1000 (default) for results that support bootstraping
mod2 <- plsFit(log.RAI ~., scale = TRUE, data = Penta[, -1],
ncomp = 2, validation = "oob", boots = 300)
Score.Contributions2 <- ScoreContrib(mod2, obs1 = 1, obs2 = 3)
plot(Score.Contributions2, ncomp = 1)
## End(Not run)
#PCA Model
pc1 <- pcaFit(Penta[, -1], ncomp = 3)
Score.Contributions1 <- ScoreContrib(mod1, obs1 = 1, obs2 = 3)
plot(Score.Contributions1, ncomp = 1)
[Package mvdalab version 1.7 Index]