Thanks for your help Deepayan!
I noticed the other thread before, but I was really looking for a dot plot with error bars. This looks better indeed, as you state yourself in that thread.
The package Hmisc gives the solution through Cbind and xYplot! I will prepare an example graph for the gallery.
Thanks again,
Sander.
library(Hmisc)
# Examples of plotting raw data
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,subset=sex=='male' & continent=='USA',
data=dfr)
xYplot(Cbind(y,lower,upper) ~ month|continent, subset=sex=='male',data=dfr)
xYplot(Cbind(y,lower,upper) ~ month|continent, groups=sex, data=dfr); Key()
# add ,label.curves=FALSE to suppress use of labcurve to label curves where
# farthest apartDeepayan Sarkar wrote:
On Wednesday 04 May 2005 10:30, Sander Oom wrote:Dear R graphics gurus,
Another question about lattice graphics. This time I would like to plot means and confidence intervals by group factor in a lattice graph. I can not find any working lattice examples. Maybe a custom panel function is the answer, but that is a bit beyond me for now.
There's an example in this thread:
http://finzi.psych.upenn.edu/R/Rhelp02a/archive/50299.html
There might be useful tools in the Hmisc package as well.
The individual plots within the lattice graph could look like this:
# Example with confidence intervals and grid hh <- t(VADeaths)[, 5:1] mybarcol <- "gray20" ci.l <- hh * 0.85 ci.u <- hh * 1.15 mp <- barplot2(hh, beside = TRUE, col = c("lightblue", "mistyrose", "lightcyan", "lavender"), legend = colnames(VADeaths), ylim = c(0, 100), main = "Death Rates in Virginia", font.main = 4, sub = "Faked 95 percent error bars", col.sub = mybarcol, cex.names = 1.5, plot.ci = TRUE, ci.l = ci.l, ci.u = ci.u, plot.grid = TRUE)
This gives me
Error: couldn't find function "barplot2"
Maybe you missed a library() call?
Deepayan
mtext(side = 1, at = colMeans(mp), line = -2, text = paste("Mean", formatC(colMeans(hh))), col = "red") box()
Or like this:
data(state) plotmeans(state.area ~ state.region)
Both plotmeans and barplot2 give interesting options such as printing of nobs, among other things. In case of a barplot, there should be an option to plot the confidence intervals in one direction only (up) as to avoid interference with any black and white shading. The plotMeans function provides a useful option error.bars ("se", "sd", "conf.int", "none").
The following test data is still useful:
tmp <- expand.grid(geology = c("Sand","Clay","Silt","Rock"), species = c("ArisDiff","BracSera","CynDact","ElioMuti","EragCurS","EragPseu"), dist = seq(1,9,1) ) tmp$height <- rnorm(216)
For instance plotting height versus dist by geology.
Any help very welcome!
Cheers,
Sander.
PS Of course the resulting graph will go to the R graph gallery!
______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
-- -------------------------------------------- Dr. Sander P. Oom Animal, Plant and Environmental Sciences, University of the Witwatersrand Private Bag 3, Wits 2050, South Africa Tel (work) +27 (0)11 717 64 04 Tel (home) +27 (0)18 297 44 51 Fax +27 (0)18 299 24 64 Email [EMAIL PROTECTED] Web www.oomvanlieshout.net/sander
______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
