plotMIRAScores: Plot MIRA scores and compare different conditions
In databio/MIRA: Methylation-Based Inference of Regulatory Activity

Description Usage Arguments Details Value Examples

Splits up samples by sample type. Displays each region set in a different subplot. If you only want to plot certain region sets, subset with the 'featID' parameter.

1 2	plotMIRAScores(scoreDT, featID = unique(scoreDT[, featureID]), colBlindOption = FALSE)

`scoreDT`	A datatable with the following columns: score, featureID (names of region sets), ideally include 'sampleType'.
`featID`	Region set name/names in a single string or vector of strings.
`colBlindOption`	If TRUE, function will plot with a color blind friendly palette which could be helpful when plotting multiple colors.

Due to the limited number of colors in the palette, a warning will be issued if there are too many (more than 9) region sets ('featureID's).

a plot of class "gg"/"ggplot" that shows MIRA scores with geom_boxplot and geom_jitter (or geom_violin instead of boxplot if no sampleType column is given).

data(bigBinDT2)
exScores <- calcMIRAScore(bigBinDT2)
# adding annotation
sampleType <- rep(c("Ewing", "Muscle-related"), each = 24)
exScores <- cbind(exScores, sampleType)
exScorePlot <- plotMIRAScores(exScores)