plotGroupIndependence {psichomics} | R Documentation

## Plot `-log10(p-values)` of the results obtained after multiple group independence testing

### Description

Plot `-log10(p-values)` of the results obtained after multiple group independence testing

### Usage

    plotGroupIndependence(
      groups,
      top = 50,
      textSize = 10,
      colourLow = "lightgrey",
      colourMid = "blue",
      colourHigh = "orange",
      colourMidpoint = 150
    )

### Arguments

`groups` | `multiGroupIndependenceTest` object (obtained after running `testGroupIndependence()`)
`top` | Integer: number of attributes to render
`textSize` | Integer: size of the text
`colourLow` | Character: name or HEX code of colour for lower values
`colourMid` | Character: name or HEX code of colour for middle values
`colourHigh` | Character: name or HEX code of colour for higher values
`colourMidpoint` | Numeric: midpoint to identify middle values

### Value

`ggplot` object

### See Also

`parseCategoricalGroups()` and `testGroupIndependence()`

Other functions for data grouping: `createGroupByAttribute()`, `getGeneList()`, `getMatchingSamples()`, `getSubjectFromSample()`, `groupPerElem()`, `testGroupIndependence()`

### Examples

    elements <- paste("subjects", 1:50)
    ref      <- elements[10:50]
    groups   <- list(race=list(asian=elements[1:3],
                               white=elements[4:7],
                               black=elements[8:10]),
                     region=list(european=elements[c(4, 5, 9)],
                                 african=elements[c(6:8, 10:50)]))
    groupTesting <- testGroupIndependence(ref, groups, elements)
    plotGroupIndependence(groupTesting)

[Package psichomics version 1.14.1 Index]