plotIGFit {sights} | R Documentation

## Inverse gamma

### Description

Plot an inverse gamma fit plot for all plates together

### Usage

    plotIGFit(plotMatrix, repIndex, plotRows = NULL, plotCols = NULL,
      plotName = NULL, ...)

### Arguments

`plotMatrix` | Data frame or numeric matrix. Columns are plates, and rows are plate wells.
`repIndex` | Optional. Vector of labels indicating replicate group. Each index in the vector matches the corresponding column of plotMatrix. If NULL then all plates are plotted together without grouping.
`plotRows, plotCols` | Optional integer vector. Indicate which row/column numbers from the plotMatrix should be plotted. If NULL then all rows/columns from the plotMatrix are used.
`plotName` | Optional. Name of plotMatrix for plot title.
`...` | Optional. Additional parameters passed to `geom_step`.

### Details

Inverse gamma fit plot can be used to check if RVM test (`statRVM`) assumptions are valid and it can be applied to the data.

### Value

Modifiable ggplot2 object

### See Also

Other graphical devices: `plot3d`, `plotAutoco`, `plotBox`, `plotHeatmap`, `plotHist`, `plotScatter`

### Examples

    ## load dataset
    data(ex_dataMatrix)

    ## normalize data matrix using any method and store in new variable
    ex_normMatrix <- normSights(dataMatrix = ex_dataMatrix, dataCols = 5:10,
    normMethod = 'normZ')
    ## plot normalized data
    plotIGFit(plotMatrix = ex_normMatrix, repIndex = c(1,1,1,2,2,2),
    plotName = 'Example')

[Package sights version 1.8.1 Index]