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June 14, 2019 16:57
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R script demonstrating a few things: 1) drawing boxplots with notches roughly indicating significance of differences 2) stripcharts using transparency to highlight values of high density 3) overlaying boxplot on stripcharts and 4) writing plots as multi-page .pdf reports
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# Info about boxplot notches https://sites.google.com/site/davidsstatistics/home/notched-box-plots | |
# Article about why not to use barplots https://doi.org/10.1371/journal.pbio.1002128 | |
# Article about being wary of summary statistics and why raw data plots are better than boxplots https://www.autodeskresearch.com/publications/samestats | |
# Generate some fake data | |
concs = seq(0,10,1) | |
concobs = rep(concs,each=500) | |
mdel = function(x) -x^2+10*x+20 | |
vals = mdel(concobs) + rnorm(length(concobs),0,12) | |
dat = data.frame(conc=concobs,val=vals) | |
pdf("SyntheticData.pdf") | |
# Draw a boxplot, with notches indicating whether differences in median are signifiant | |
boxplot(vals~conc,data=dat,notch=TRUE,xlab="Concentration (gareths)",ylab="Signal (AU)",main="Boxplot with notches") | |
# Draw a vertical stripchart with transparent points to give an indication of outliers and where most signal is found | |
stripchart(vals~conc,data=dat,method="jitter",jitter=0.15,vertical=TRUE,pch=16,col=rgb(1,0,0,0.05),xlab="Concentration (gareths)",ylab="Signal (AU)", main="Stripchart with transparency") | |
stripchart(vals~conc,data=dat,method="jitter",jitter=0.15,vertical=TRUE,pch=16,col=rgb(1,0,0,0.05),xlab="Concentration (gareths)",ylab="Signal (AU)", main="Stripchart and boxplot") | |
boxplot(vals~conc,data=dat,notch=TRUE,add=TRUE,border=c("black"),boxwex=0.4,outline=FALSE) | |
dev.off() |
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