Perhaps I misunderstood your question. Jeff Newmiller says that you did
not want multiple y-scales on the same plot, which is how I read what
you wrote. If you just want plots of X vs. time, Y vs. time, etc.
"stacked" one above the other then you perhaps should simple use
par(mfrow(.,.)) or perhaps layout().
You could also try using lattice graphics. Toy example:
require(lattice)
set.seed(42)
junk <- data.frame(x=rnorm(100),time=rep(1:20,5),
witch=rep(LETTERS[22:26],each=20))
xyplot(x~time|witch,data=junk,layout=c(1,5,1),type="l",as.table=TRUE)
HTH
cheers,
Rolf Turner
On 03/02/14 10:11, David Parkhurst wrote:
Don't worry. I'm also plotting Y against X, which is what really
matters. But I want the plots I'm asking about to see how much
persistence each of those variable has with time.
Thanks for your warning, however.
David
On 2/2/2014 3:35 PM, Rolf Turner wrote:
Just ***DON'T***!!! Very bad idea; usually wildly misleading.
See, e.g.:
http://www.perceptualedge.com/articles/visual_business_intelligence/dual-scaled_axes.pdf
OTOH if you're going to be bloody-minded and do it anyway, there are
brazillions of hits from a Google search which will tell you how. But I
repeat: ***DON'T***!!!
cheers,
Rolf Turner
On 03/02/14 08:09, David Parkhurst wrote:
I've tried to figure out how to do this from what I read, but haven't
been successful. Suppose I have a dataframe with variables Date, X, and
Y (and maybe U, V, and Z) where X, Y, etc. have different units. I'd
like to plot Y vs. Time above X vs. Time, above one another.
For example, X is the number of gulls counted on a reservoir, and Y is
the number of coliform bacteria counted on a petri plate from a water
sample leaving the reservoir, so these have very different ranges. U and
V might be numbers of geese and numbers of ducks counted on the same
days.
What commands would I use to create such a set of plots?
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