From: Samuel Dennis <sjdennis3_at_gmail.com>

Date: Thu, 31 Mar 2011 18:04:58 +1300

}

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https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Thu 31 Mar 2011 - 06:08:34 GMT

Date: Thu, 31 Mar 2011 18:04:58 +1300

I have a very large dataset with three variables that I need to graph using
a scatterplot. However I find that the first variable gets masked by the
other two, so the graph looks entirely different depending on the order of
variables. Does anyone have any suggestions how to manage this?

This code is an illustration of what I am dealing with:

x <- 10000

plot(rnorm(x,mean=20),rnorm(x),col=1,xlim=c(16,24))
points(rnorm(x,mean=21),rnorm(x),col=2)

points(rnorm(x,mean=19),rnorm(x),col=3)

gives an entirely different looking graph to:

x <- 10000

plot(rnorm(x,mean=19),rnorm(x),col=3,xlim=c(16,24))
points(rnorm(x,mean=20),rnorm(x),col=1)

points(rnorm(x,mean=21),rnorm(x),col=2)

despite being identical in all respects except for the order in which the variables are plotted.

I have tried using pch=".", however the colours are very difficult to discern. I have experimented with a number of other symbols with no real solution.

The only way that appears to work is to iterate the plot with a for loop, and progressively add a few numbers from each variable, as below. However although I can do this simply with random numbers as I have done here, this is an extremely cumbersome method to use with real datasets.

plot(1,1,xlim=c(16,24),ylim=c(-4,4),col="white")
x <- 100

for (i in 1:100) {

points(rnorm(x,mean=19),rnorm(x),col=3) points(rnorm(x,mean=20),rnorm(x),col=1) points(rnorm(x,mean=21),rnorm(x),col=2)

}

Is there some function in R that could solve this through automatically iterating my data as above, using transparent symbols, or something else? Is there some other way of solving this issue that I haven't thought of?

Thankyou,

Samuel Dennis

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