ldaPlot: A function to visualize the results of a discriminant...

In multiDimBio: Multivariate Analysis and Visualization for Biological Data

Description

The function takes as input the traits and group IDs and will perform a discriminate function analysis and visualize the results. For the pair-wise comparison of groups we use density histograms with points along the x-axis denoting the actual data, Figure 3 For multi-group comparisons we plot a bivariate scatter for all pairwise combinations of discriminate axes. The color of plotting symbols can be altered using the palette argument and the axes comparisons (with max n = number of groups - 1).

Usage

ldaPlot(Data, Groups, palette = "BrBG", axes = c(1, 2, 2, 3, 1, 3))

Arguments

Data	A (non-empty), numeric matrix of data values
Groups	A (non-empty), vector indicating group membership. Length(unique(Group))==2
palette	A color palette for plotting. The default is 'Paired.' See colorbrewer2.org for alternatives.
axes	A numeric vector describing which axes to compare. For example, axes=c(1,2) will on produce a single plot comparing the first and second axis.

Value

Returns a list of ggplot2 plots.

See Also

lda

Examples

data(Nuclei)
data(Groups) 
ldaPlot(Nuclei, Groups, palette='BrBG', axes=c(1,2,2,3,1,3))

multiDimBio documentation built on April 14, 2020, 5:41 p.m.