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
"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
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 0.4-8, License: GPL-2

Community examples

Looks like there are no examples yet.