makeBarplotData: Prepare Profile Data for a Call to Barplot()

In flowPlots: flowPlots: analysis plots and data class for gated flow cytometry data

Description

This function takes a dataframe of profile data and prepares a matrix of data for input to barplot()

Usage

   makeBarplotData(profileData, profileColumns, groupVariableName)

Arguments

profileData	dataframe of profile data, such as cell categories of cells
profileColumns	the columns of profileData to include in the barplot
groupVariableName	the column in the dataframe containing the group info

Value

a matrix whose rows represent different profile categories and whose columns represent different groups. Each cell in the matrix contains the mean value for the group for a given profile category. For profile data with 16 cytokine combinations for each of 2 groups, the matrix returned with have dimensions (16,2).

Author(s)

N. Hawkins, Fred Hutchinson Cancer Research Center, Seattle, WA

See Also

GroupListBoxplot

Examples

data(profileDF)
profileDataSubset = subset(profileDF, stim=="LPS" & concGroup==3 & cell=="mDC")
profileColumns = 1:16
barplotData = makeBarplotData(profileDataSubset, profileColumns, groupVariableName="group")
barplotDataWithLegend = cbind(barplotData, NA, NA)
barColors = gray(0:15/15)[16:1]
barplot(barplotDataWithLegend, col=barColors, main="Stimulation = LPS 
   Concentration Group = 3 
   Cell = mDC")
legendNames = rownames(barplotData)
legend(2.75, 100, legend=legendNames[16:1], col=barColors[16:1], cex=.8, pch=20)

flowPlots documentation built on Nov. 8, 2020, 7:54 p.m.