Using the radial.plot function in library (plotrix) (pp. 135-8) and building on a useful entry in CrossValidated , I made this spiderweb graph .

Question
The plot displays the average difference between the processing and the comparative group per item. However, I am particularly interested in the POSITIVE change. Therefore, I would like to single out the values> = 0. To this end, I aim to
color the circular line for 0-values ββblack
make the area for values ββ<= 0, that is, inside the 0-circle, more transparent ("lighter").
I am happy to share the code that I used to create the spiderweb plot:
items.M<-c(-0.15,0.05,0.12,-0.12,-0.02,0.27,0.53,0,-0.33,0.19,0.34) items.J<-c(-0.09,0.08,1.63,-0.1,-0.1,-0.09,0.15,0.05,-0.12,0.51,0.02) items.names<-c("item 1", "item 2", "item 3", "item 4", "item 5", "item 6", "item 7", "item 8", "item n1", "item n2", "item n3") spider.data<- rbind(items.M, items.J) library(plotrix) radial.plot(spider.data, labels=items.names, rp.type="p", radial.lim=c(-0.4,1.7), poly.col=c(rgb(255/255, 215/255, 0, .8), rgb(0, 0, 1, .8)), line.col=c("black", "black"), lwd=1)
Many thanks for your help.