Object of the class bga resulting from a bga analysis.
ax
Numeric. The column number of principal component ($ls and $li) to be
used. Default is 1. This is the first component of the analysis.
cols
Vector of colours. By default colours are obtained
using getcol
hor
Logical, indicating whether the graph should be plotted
horizontally or vertically. The default is a horizontal plot.
scaled
Logical, indicating whether the coordinates in the graph
should be scaled to fit optimally in plot. Default is TRUE
centnames
A vector of variables labels. Default is NULL, if NULL the row names of the centroid $li coordinates will be used.
varnames
A vector of variables labels. Default is NULL, if NULL the row names of the variable $ls coordinates will be used.
...
further arguments passed to or from other methods
Details
This will produce a figure similar to Figure 1 in the paper by Culhane et al., 2002.
between.graph requires both samples and centroid co-ordinates ($ls, $li) which are passed
to it via an object of class bga. If cases are to be coloured by class, it also requires
a $fac factor which is also passed to it via an object of class bga.
To plot a 1D graph from other multivariate analysis such as PCA (dudi.pca),
COA (dudi.coa), or coinertia analysis. Please
use graph1D.
Author(s)
Aedin Culhane
References
Culhane AC, et al., 2002 Between-group analysis of microarray data. Bioinformatics. 18(12):1600-8.
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(made4)
Loading required package: ade4
Loading required package: RColorBrewer
Loading required package: gplots
Attaching package: 'gplots'
The following object is masked from 'package:stats':
lowess
Loading required package: scatterplot3d
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/made4/between.graph.Rd_%03d_medium.png", width=480, height=480)
> ### Name: between.graph
> ### Title: Plot 1D graph of results from between group analysis
> ### Aliases: between.graph
> ### Keywords: multivariate hplot
>
> ### ** Examples
>
> data(khan)
> if (require(ade4, quiet = TRUE)) {
+ khan.bga<-bga(khan$train, khan$train.classes)
+ }
>
> between.graph(khan.bga)
> between.graph(khan.bga, ax=2, lwd=3, cex=0.5, col=c("green","blue", "red", "yellow"))
> between.graph(khan.bga, ax=2, hor=FALSE, col=c("green","blue", "red", "yellow"))
>
>
>
>
>
> dev.off()
null device
1
>