On Apr 23, 2010, at 3:56 PM, Jon Zadra wrote:

I took a look at xYplot() but it is beyond over-complex, at least for my level, and the documentation isn't too clear.

Is there a simple way to make functions like plotCI() and errbar() use the lattice reference rather than base graphics?

Don't know about simple. You seem to be rejecting one by one the "simple" methods people have offered. Why not do a bit of searching on your own, since you have a different standard for "simple" than some of the rest of us:

RSiteSearch("lattice error bars")
RSiteSearch("lattice confidence intervals")

--
David.

It seems like creating a plot of two lines across three time points separated into two groups should be a very basic, simple thing for a statistics program to do. Is there really no way to simply pass a model to a plotting function and get something that includes error bars? I just wonder if I"m missing how to do this "the easy way."

Thanks,

Jon
Jon Zadra
Department of Psychology
University of Virginia
P.O. Box 400400
Charlottesville VA 22904
(434) 982-4744
email: za...@virginia.edu
<http://www.google.com/calendar/embed?src=jzadra%40gmail.com>

On 4/21/2010 6:47 PM, David Winsemius wrote:

On Apr 21, 2010, at 6:24 PM, Jon Zadra wrote:

Hi,

I want to add error bars to a plot generated with xyplot. I've tried both errbar() and plotCI(), but in both cases the points are not in the same place. It's as if the two functions are using a different frame of reference for the plotting area.

Yes. plotCI uses base graphics while xyplot is a lattice function.


for example:
means <- c(92.5, 92.25, 90.9, 91.0, 94.15, 90.05) #means
time <- c(1,1,2,2,3,3) #occasion variable
group <- rep(c("n","u"),3) #grouping variable
SE <- c(2.22, 1.66, 2.10, 1.43, 2.31, 1.57) #standard errors

#Plot the graph
xyplot(means ~ time, groups=group, type="o", lwd=3, main="Change Over Time by Condition", scale=list(cex=2), xlab="Test Number", auto.key=T)

#first attempt
require(Hmisc)
errbar(x = time, y = means, yplus = means + SE, yminus = means - SE, add=T, col=c("blue", "hotpink"))

A base graphics function.

#second attempt, same result
require(gplots)
plotCI(x = time, y = means, uiw = SE, add=T)

Another base graphics function.

Since you already have Hmisc why not check out Harrell's xYplot which provides CI's in a grid function:
From the xYplot examples:

require(Hmisc)
dfr <- expand.grid(month=1:12, continent=c('Europe','USA'),
sex=c('female','male')) set.seed(1)
dfr <- upData(dfr, y=month/10 + 1*(sex=='female') +
                         2*(continent=='Europe') +
                         runif(48,-.15,.15),
                  lower=y - runif(48,.05,.15),
                  upper=y + runif(48,.05,.15))
xYplot(Cbind(y,lower,upper) ~ month|continent, subset=sex=='male',data=dfr)


Thanks in advance!

- Jon

--
Jon Zadra
Department of Psychology
University of Virginia
P.O. Box 400400
Charlottesville VA 22904
(434) 982-4744
email: za...@virginia.edu
<http://www.google.com/calendar/embed?src=jzadra%40gmail.com>

______________________________________________
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David Winsemius, MD
West Hartford, CT


______________________________________________
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

David Winsemius, MD
West Hartford, CT

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and provide commented, minimal, self-contained, reproducible code.

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