plotting nls fits with overlapping prediction inte

问题:

Say I some data, d, and I fit nls models to two subsets of the data.

x<- seq(0,4,0.1)
y1<- (x*2 / (0.2 + x))
y1<- y1+rnorm(length(y1),0,0.2)
y2<- (x*3 / (0.2 + x))
y2<- y2+rnorm(length(y2),0,0.4)
d<-data.frame(x,y1,y2)

m.y1<-nls(y1~v*x/(k+x),start=list(v=1.9,k=0.19),data=d)
m.y2<-nls(y2~v*x/(k+x),start=list(v=2.9,k=0.19),data=d)

I then want to plot the fitted model regression line over data, and shade the prediction interval. I can do this with the package investr and get nice plots for each subset individually:

require(investr)
plotFit(m.y1,interval="prediction",ylim=c(0,3.5),pch=19,col.pred='light blue',shade=T)

 plotFit(m.y2,interval="prediction",ylim=c(0,3.5),pch=19,col.pred='pink',shade=T)

However, if I plot them together I have a problem. The shading of the second plot covers the points and shading of the first plot:

1: How can I make sure the points on the first plot end up on top of the shading of the second plot?

2: How can I make the region where the shaded prediction intervals overlap a new color (like purple, or any fusion of the two colors that are overlapping)?

回答1:

Use adjustcolor to add transparency like this:

plotFit(m.y1, interval = "prediction", ylim = c(0,3.5), pch = 19, 
        col.pred = adjustcolor("lightblue", 0.5), shade = TRUE)

par(new = TRUE)
plotFit(m.y2, interval = "prediction", ylim = c(0,3.5), pch = 19, 
       col.pred =  adjustcolor("light pink", 0.5), shade = TRUE)

Depending on what you want you can play around with the two transparency values (here both set to 0.5) and possibly make only one of them transparent.