makeTernaryData: Prepare PFD Data for a Call to ternaryplot()

Description Usage Arguments Value Author(s) See Also Examples

View source: R/pkg.HelperFcns.R

Description

This function takes a dataframe of polyfunctional degree (pfd) data and prepares a matrix with 3 columns (egs. PFD1,PFD2,PFD3, or PFD1-2, PFD3-4, PFD5-6) to use as input to ternaryplot() in the vcd pkg. If multiple columns are specified for one of the three columns, the percentages for the multiple columns will be summed.

Usage

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   makeTernaryData(pfdData, columns1, columns2, columns3, 
      columnNames=c("PFD=1","PFD=2","PFD=3"))

Arguments

pfdData

data frame containing data for 1 or more groups

columns1

numeric; column(s) of pfd data to place in the first column of the matrix

columns2

numeric; column(s) of pfd data to place in the second column of the matrix

columns3

numeric; column(s) of pfd data to place in the third column of the matrix

columnNames

(optional) character vector of names for the three columns of the matrix

Value

matrix of 3 columns; rows = subjects, cols = data for each point on the triangle

Author(s)

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

See Also

StackedData

Examples

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## Load the PFD Data to plot in a ternary plot

data(pfdDF)
pfdDataSubset = subset(pfdDF, stim=="LPS" & concGroup==3 & cell=="mDC")

## Prepare the PFD Data for a call to ternaryplot()

ternaryData = makeTernaryData(pfdDataSubset, 1, 2, 3:4)
colnames(ternaryData) = c("PFD1", "PFD2", "PFD3-4")

## Make the ternary plot

library(vcd)
ternaryplot(ternaryData, cex=.5, col=as.numeric(pfdDataSubset$group)*2, main="Stimulation = LPS, 
   Concentration Group = 3, Cell = mDC")

## Prepare a legend with group stats

adultPFDData = subset(pfdDataSubset, group=="adult", select=c(PFD1:PFD3))
neoPFDData = subset(pfdDataSubset, group=="neonate", select=c(PFD1:PFD3))
groupPFDDataList = list(adultPFDData, neoPFDData)
pfdGroupStatsList = computePFDGroupStatsList(groupPFDDataList, pfdValues=1:3, numDigitsMean=3, 
   numDigitsSD=2)
groupNames = c("Adults","Neonates")
legendNames = legendPFDStatsGroupNames(pfdGroupStatsList,groupNames)
grid_legend(0.8, 0.7, pch=c(20,20), col=c(2,4), legendNames, title = "Group (n), mean/sd:", 
   gp=gpar(cex=.8))

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