smoothScatter {tofsims} | R Documentation

## generic for smoothScatter

### Description

generic for smoothScatter

smoothScatter method for PCA class

### Usage

    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)

### Arguments

`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

### Value

graphical output

### Examples

    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')

[Package tofsims version 1.16.0 Index]