plotPCAPlotly {PathoStat} | R Documentation

## Plot PCA

### Description

Plot PCA

### Usage

    plotPCAPlotly(df.input, condition.color.vec,
      condition.color.name = "condition", condition.shape.vec,
      condition.shape.name = "condition", columnTitle = "Title", pc.a = "PC1",
      pc.b = "PC2")

### Arguments

`df.input` | Input data object that contains the data to be plotted. Required
`condition.color.vec` | color vector. Required
`condition.color.name` | color variable name. Required
`condition.shape.vec` | shape vector. Required
`condition.shape.name` | shape variable name. Required
`columnTitle` | Title to be displayed at top of heatmap.
`pc.a` | pc.1
`pc.b` | pc.2

### Value

the plot

### Examples

    data('iris')
    plotPCAPlotly(t(iris[,1:4]),
    condition.color.vec = c(rep(1,100), rep(0,50)),
    condition.shape.vec = c(rep(0,100), rep(1,50)))

[Package PathoStat version 1.6.1 Index]