On 2010-12-01 07:09, Robert Quinn wrote:
I am having problems trying to get R to graph data input that is log-normal
on the horizontal (x) axis.
The data is log (base 10), and I am more interested in viewing the tails of
the distribution. The closest I can get with this is log on the vertical
(y) axis and linear on the horizontal axis. Note that the x-axis is Centile
(0%-100%) and is at this time linear, however I want it to be exponential
0%-50% and reverse exponential from 50%-100%. Meaning there is the most
spread in the data from 0%-5% and 95%-100%, and very little spread 25%-75%.
This is what I have so far:
plot(x,y,type="l",
log = "y",
xlab="Centile",
ylab="INH MoMs",
xlim=c(1,100),
ylim=c(0.3,5),
col="green" )
I have tried inserting "lognormal = "x"," and other code that might
work that I have found on the "R help", but nothing seems to work. Thank
you in advance for your help.
Your chances of a useful response would likely increase if your
question were clearer. You say your data is log (base 10). I have
no idea what that means; log of what?
You want the x-axis to be bi-exponential? I *think* I have an
inkling of what you mean, but I have no idea what you want to
plot. Perhaps if you could explain clearly how you would do this
"by hand", it might make more sense.
It would be *very* useful to have some sample data to look at.
Peter Ehlers
Respectfully, Bob Quinn
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