plot.cp: Plotting Function for Score Contributions.

In mvdalab: Multivariate Data Analysis Laboratory

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	score.contribution object
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 ([e-mail])

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)

mvdalab documentation built on Oct. 6, 2022, 1:05 a.m.