plot.fda

0th

Percentile

Plot for Flexible Discriminant Analysis

Plot in discriminant (canonical) coordinates a fda or (by inheritance) a mda object.

Keywords
classif
Usage
# S3 method for fda
plot(x, data, coords, group, colors, pch, mcolors, mpch, pcex, mcex, …)
Arguments
x

an object of class "fda".

data

the data to plot in the discriminant coordinates. If group="true", then data should be a data frame with the same variables that were used in the fit. If group="predicted", data need not contain the response variable, and can in fact be the correctly-sized "x" matrix.

coords

vector of coordinates to plot, with default coords="c(1,2)". All pairs of plots are produced.

group

if group="true" (the default), each point is color and symbol coded according to the response in data. If group="predicted", the class of each point is predicted from the model, and used instead.

colors

a vector of colors to be used in the plotting.

pch

a vector of plotting characters.

mcolors

a vector of colors for the class centroids; default is colors.

mpch

a vector of plotting characters for the centroids.

pcex

character expansion factor for the points; defualt is pcex="0.5".

mcex

character expansion factor for the centroids; defualt is pcex="2.5".

further arguments to be passed to or from methods.

See Also

fda, mda, predict.fda

Aliases
  • plot.fda
Examples
# NOT RUN {
data(iris)
irisfit <- fda(Species ~ ., data = iris)
plot(irisfit)
data(ESL.mixture)
## Not a data frame
mixture.train=ESL.mixture[c("x","y")] 
mixfit=mda(y~x, data=mixture.train)
plot(mixfit, mixture.train)
plot(mixfit, data=ESL.mixture$xnew, group="pred")
# }
Documentation reproduced from package mda, version 0.4-10, License: GPL-2

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