| plotGroupIndependence {psichomics} | R Documentation |
-log10(p-values) of the results obtained after multiple group
independence testingPlot -log10(p-values) of the results obtained after multiple group
independence testing
plotGroupIndependence( groups, top = 50, textSize = 10, colourLow = "lightgrey", colourMid = "blue", colourHigh = "orange", colourMidpoint = 150 )
groups |
|
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 |
ggplot object
parseCategoricalGroups() and
testGroupIndependence()
Other functions for data grouping:
createGroupByAttribute(),
getGeneList(),
getSampleFromSubject(),
getSubjectFromSample(),
groupPerElem(),
testGroupIndependence()
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)