Dear Sock,
I'm wondering if that mean_sdl function is return what you are
expecting. I would calculate the statistics outside ggplot.
RibbonData <- ddply(dat.less, "Day", function(x){
mean(x$Y) + c(ymin = -1, ymax = 1) * sd(x$Y)
})
p + stat_summary(data=dat.less, aes(group=1), geom="crossbar",
fun.data="mean_sdl", mult=1) + geom_ribbon(data = RibbonData, aes(group
= 1, ymin = ymin, ymax = ymax), fill=alpha("blue", 1/10))
HTH,
Thierry
------------------------------------------------------------------------
----
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature
and Forest
Cel biometrie, methodologie en kwaliteitszorg / Section biometrics,
methodology and quality assurance
Gaverstraat 4
9500 Geraardsbergen
Belgium
tel. + 32 54/436 185
thierry.onkel...@inbo.be
www.inbo.be
To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to
say what the experiment died of.
~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data.
~ Roger Brinner
The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of
data.
~ John Tukey
-----Oorspronkelijk bericht-----
Van: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
Namens Sock Cheng
Verzonden: maandag 14 september 2009 20:58
Aan: r-help@r-project.org
Onderwerp: [R] ggplot, ribbon not showing up properly
Hi,
I'm trying to plot a longitudinal data set, using ggplot and adding some
summary info (eg. mean, 1 sd bounds) using geom=ribbon. The summary
info is based on a subset of the original data (eg. less an outlier).
But I'm having trouble getting the ribbons to show up correctly. It's
probably something obvious that I'm missing as a novice at ggplot2, and
any help is much appreciated!
Here's a simple example. I tried several things.
- if I use geom=crossbar, everything is ok
- if Day is set as rep(c(1,2,3,8,9), each=8), then everything is ok,
which makes me wonder if the problem has to do with the ordering of Day?
Day is supposed to be numeric.
Thanks!
Sock
### Example data. Ran using R version 2.9.2, ggplot2 version 0.8.3 ###
set.seed(13)
Day <- rep(c(1, 2, 3, 8, 20), each=8)
# The plot is ok if Day <- rep(c(1,2,3,8,9), each=8)
ID <- rep(LETTERS[1:8], 5)
Y <- rnorm(length(Day), 100, 5)
dat <- data.frame(Day=Day, ID=ID, Y=Y)
# outlier
dat$Y[dat$ID=="A" & dat$Day==8] <- 150
dat.less <- dat[!(dat$ID=="A" & dat$Day==8),]
# Longitudinal data plot. Obs for each subject is connected by a line
over time
p <- ggplot(dat, aes(x=Day, y=Y, group=ID)) +
scale_x_continuous(breaks=sort(unique(dat$Day))) +
geom_line(colour=alpha("blue", 5/10))
# Adding mean, 1 sd bounds using crossbar geom is ok. But the same info
using ribbon geom doesn't work.
p + stat_summary(data=dat.less, aes(group=1), geom="crossbar",
fun.data="mean_sdl", mult=1) + stat_summary(data=dat.less, aes(group=1),
geom="ribbon", fun.data="mean_sdl", mult=1, fill=alpha("blue", 1/10))
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