plotGene: plotGene
In ogianatiempo/qPCRutils: Useful functions to analyze qPCR results in R

Description Usage Arguments

View source: R/functions.R

This function plots a bar and dots graph for a single gene comparing two groups using the testGene function.

1
2
3

plotGene(relativeExpDF, groupCol, geneCol, expressionCol, gene,
  alternative = "two.sided", filterOutliers = T,
  controlRelativized = F, controlGroup, treatedGroup, maxY = 2)

`relativeExpDF`	Dataframe with gene relative expression information.
`groupCol`	Grouping column to be used for difference testing.
`geneCol`	Column containing gene names.
`expressionCol`	Column containing relative expression.
`gene`	Gene to test.
`alternative`	Alternative hypothesis for the test ("two.sided", "greater" or "less").
`filterOutliers`	Whether to remove outliers or not. Only one outlier per group based on Grubb's test.
`controlRelativized`	Display expression relativized to control group (i.e. control group mean expression = 1)
`controlGroup`	Name of the control group.
`treatedGroup`	Name of the treated group.
`maxY`	Upper limit of y axis.