Visualize distribution assessment — plotEvalDist • powsimR

This function plots the results of evaluateDist to assess goodness-of-fit testing.

plotEvalDist(evalDistRes, Annot=TRUE)

Arguments

evalDistRes	The output of `evaluateDist`.
Annot	A logical vector. If `TRUE`, a short description of the plot is included.

Value

A ggplot object.

Examples

if (FALSE) {
## using example data set, but run it for fraction of genes
data("CELseq2_Gene_UMI_Counts")
evalDistRes <- evaluateDist(countData = CELseq2_Gene_UMI_Counts, batchData = NULL,
                            spikeData = NULL, spikeInfo = NULL,
                            Lengths = NULL, MeanFragLengths = NULL,
                            RNAseq = "singlecell", Protocol = "UMI",
                            Normalisation = "scran",
                            GeneFilter = 0.1, SampleFilter = 3,
                            FracGenes = 0.1,
                            verbose = TRUE)
plotEvalDist(evalDistRes)
}