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.
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) 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!
-- -------------------------------------------- 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
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