I am trying to create a pairs plot of 6 data variables using ggplot2 and colour the points according to the k-means cluster they belong to. I read the documentation of the highly impressive 'GGally' package as well as an informal fix by Adam Laiacano [http://adamlaiacano.tumblr.com/post/13501402316/colored-plotmatrix-in-ggplot2]. Unfortunately, I could not find any way to get the desired output in either.
Here is a sample code:-
#The Swiss fertility dataset has been used here
data_ <- read.csv("/home/tejaskale/Ubuntu\ One/IUCAA/Datasets/swiss.csv", header=TRUE)
data_ <- na.omit(data_)
u <- c(2, 3, 4, 5, 6, 7)
x <- data_[,u]
k <- 3
maxIterations <- 100
noOfStarts <- 100
filename <- 'swiss.csv'
library(ggplot2)
library(gridExtra)
library(GGally)
kmeansOutput <- kmeans(x, k, maxIterations, noOfStarts)
xNew <- cbind(x[,1:6], as.factor(kmeansOutput$cluster))
names(xNew)[7] <- 'cluster'
kmeansPlot <- ggpairs(xNew[,1:6], color=xNew$cluster)
OR
kmeansPlot <- plotmatrix(xNew[,1:6], mapping=aes(colour=xNew$cluster))
Both plots are created but aren't coloured according to clusters.
Hope I haven't missed an answer to this question on the forum and apologize if that is indeed the case. Any help would be highly appreciated.
Thanks!