plotEvalDist: Visualize distribution assessment
In bvieth/powsimR: Power Simulations for RNA-sequencing

plotEvalDist

R Documentation

Visualize distribution assessment

Description

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

Usage

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.

Author(s)

Beate Vieth, Ines Hellmann

Examples

## Not run: 
## 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)

## End(Not run)

bvieth/powsimR documentation built on Aug. 19, 2023, 7:48 p.m.