On Nov 29, 2009, at 9:30 PM, Frostygoat wrote:

I have 11 vectors representing insect survival probabilities in
response to different levels of toxins at 10 concentrations

lx100=c(1,1,1,.8,.5,.4,.2,0)
day100=c(0,1,2,3,4,5,6,7,8)

lx90=c(1,1,1,1,.9,.8,.6,.4,.2,.1,0)
day90=c(0,1,2,3,4,5,6,7,8,9,10)

#...and so on10% and a zero (control) series

lx0=c(1,1,1,1,1,1,.9,.9,.8,.8,.6,.5,.4,.3,.2,.1,.1,0)
day0=c(0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17)

I want to plot them on one plot with a palette color scheme such as
rainbow or topo.colors, and I want one color per concentration on both
the point and line.  I have found a number of ways to plot them:

1. Plot a blank frame big enough to accommodate the control data and
then add the x,y coords using points.

plot(x=day0,y=lx0, type="n", xlab="Day of adult
life",ylab=lx,lwd=2.2,ylim=c(0.0,1),col=cols)
points(x=day100,y=lx100,type="b",col="#FF8B00")
points(x=day90,y=lx90,type="b",col= "#E8FF00")
...

This is harder than it should be, I tracked down the color names
generated with rainbow(11) and individually name each points command.

2.  Bind the respective x and y coords into 2 respective matrices and
plot.

lxs=matrix(c(lx100,lx90,lx80,lx70,lx60...))
days=matrix(c(day100,day90,day80,day70,day60...))

plot(x=days,y=lxs, col=rainbow(11), type="b")

You have vectors of unequal length which may cause some problems. Have you thought of using plot with xlim and ylim and just one series and then following that with something like:

> mapply(lines, days, lxs, MoreArgs=list(col=rainbow(3), type="b"))

It seemed to give somewhat sensible results using the series tha tyou offered even without the pre-determined x limits.


The points rainbow (not as series) and the lines are red.

I tried various methods of binding data and plotting data frames
without success.


I would appreciate it if someone would kindly put me on the trail.
Thank you for your time.

--

David Winsemius, MD
Heritage Laboratories
West Hartford, CT

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