Description Usage Arguments Value Author(s) See Also Examples
View source: R/pkg.HelperFcns.R
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.
1 2 | makeTernaryData(pfdData, columns1, columns2, columns3,
columnNames=c("PFD=1","PFD=2","PFD=3"))
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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 |
matrix of 3 columns; rows = subjects, cols = data for each point on the triangle
N. Hawkins, Fred Hutchinson Cancer Research Center, Seattle, WA
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | ## 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))
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