smoothScatter {tofsims} | R Documentation |
smoothScatter method for PCA class
smoothScatter( x, y = NULL, nbin = 128, bandwidth, colramp = colorRampPalette(c("white", blues9)), nrpoints = 100, ret.selection = FALSE, pch = ".", cex = 1, col = "black", transformation = function(x) x^0.25, postPlotHook = box, xlab = NULL, ylab = NULL, xlim, ylim, xaxs = par("xaxs"), yaxs = par("yaxs"), ... ) ## S4 method for signature 'PCA' smoothScatter( x, y = NULL, nbin = 128, bandwidth, colramp = colorRampPalette(c("white", blues9)), nrpoints = 100, ret.selection = FALSE, pch = ".", cex = 1, col = "black", transformation = function(x) x^0.25, postPlotHook = box, xlab = NULL, ylab = NULL, xlim, ylim, xaxs = par("xaxs"), yaxs = par("yaxs"), ..., comps = c(1, 2), pcType = "pcaScores", label = FALSE, labelThreshold = 1 )
x |
object of class PCA |
y |
numeric usually NULL |
nbin |
numeric |
bandwidth |
numeric vector length 1 or 2 |
colramp |
numeric |
nrpoints |
numeric |
ret.selection |
logical |
pch |
character |
cex |
numeric |
col |
character |
transformation |
function |
postPlotHook |
box |
xlab |
NULL |
ylab |
NULL |
xlim |
numeric |
ylim |
numeric |
xaxs |
par |
yaxs |
par |
... |
additional args |
comps |
numeric |
pcType |
character |
label |
boolean |
labelThreshold |
numeric |
graphical output
library(tofsimsData) data(tofsimsData) testImage<-PCAnalysis(testImage, nComp = 4) smoothScatter(analysis(testImage, 1), comps = c(1,2), pcType = 'pcaScores', xlab = 'comp 1', ylab = 'comp 2')