I have obtained from a paper next results:

Variable 1: Mean=165, sd=15

Variable 2: Mean=149, sd=18

Variable 3: Mean=134, sd=25

I have simulated normal distributions using rnorm.

This is the way (with a n=1000): rnorm(1000,165,15). The same procedure with the others.

So now I want a common graph that shows the 3 normal distributions (density plots) at the same time.

And also, that each of the density plots shows standard deviations bounds (1 and 2 sigmas) and if possible, means. This may be represented as vertical lines from the X axis til the curve of the plot.

Anybody knows which is the exact code in R?

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#### Best Answer

`x<-0:300 a<-dnorm(x,165,15) b<-dnorm(x,149,18) c<-dnorm(x,134,25) plot(x,a, type="l", lwd=3, ylim=c(0,1.2*max(a,b,c)), ylab="Probability Density") segments(150,0, 150, a[which(x==150)], lwd=3, lty=2) segments(180,0, 180, a[which(x==180)], lwd=3, lty=2) text(165, a[which(x==165)], "165", pos=3) lines(x,b, type="l", lwd=3, col="Red") segments(131,0, 131, b[which(x==131)], lwd=3, lty=2, col="Red") segments(167,0, 167, b[which(x==167)], lwd=3, lty=2, col="Red") text(149, b[which(x==149)], "149", col="Red", pos=3) lines(x,c, type="l", lwd=3, col="Blue") segments(109,0, 109, c[which(x==109)], lwd=3, lty=2, col="Blue") segments(159,0, 159, c[which(x==159)], lwd=3, lty=2, col="Blue") text(134, b[which(x==134)], "134", col="Blue", pos=3) `

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