[R] bwplot: using a numeric variable to position boxplots
Michael Friendly
friendly at yorku.ca
Thu May 3 16:32:50 CEST 2012
[Env: R 2.14.2 / Win Xp]
In the examples below, I'm using lattice::bwplot to plot boxplots of 4
variables, grouped by a factor 'epoch'
which also corresponds to a numeric year. I'd like to modify the plots
to position the boxplots according to
the numeric value of year, but I can't figure out how to do this.
Also, I'd to modify the strip labels that give the variable names to use
longer variable labels I define below as
vlab.
> install.packages("heplots", repos="http://R-Forge.R-project.org")
> # requires heplots 0.9-12 for Skulls data
> library(heplots)
> data(Skulls)
>
> # make shorter labels for epochs
> Skulls$epoch <- factor(Skulls$epoch,
labels=sub("c","",levels(Skulls$epoch)))
> # create year variable
> Skulls$year <- rep(c(-4000, -3300, -1850, -200, 150), each=30)
> str(Skulls)
'data.frame': 150 obs. of 6 variables:
$ epoch: Ord.factor w/ 5 levels "4000BC"<"3300BC"<..: 1 1 1 1 1 1 1 1
1 1 ...
$ mb : num 131 125 131 119 136 138 139 125 131 134 ...
$ bh : num 138 131 132 132 143 137 130 136 134 134 ...
$ bl : num 89 92 99 96 100 89 108 93 102 99 ...
$ nh : num 49 48 50 44 54 56 48 48 51 51 ...
$ year : num -4000 -4000 -4000 -4000 -4000 -4000 -4000 -4000 -4000
-4000 ...
> table(Skulls$epoch)
4000BC 3300BC 1850BC 200BC AD150
30 30 30 30 30
This is what I've tried. I reshape the data to a long format and can
plot value ~ epoch or value ~ as.factor(year),
but I really want to space the boxplots according to the numeric value
of year.
# better variable labels -- how to incorporate these in the strip labels?
vlab <- c("maxBreadth", "basibHeight", "basialLength", "nasalHeight")
library(lattice)
library(reshape2)
Skulls$year <- rep(c(-4000, -3300, -1850, -200, 150), each=30)
sklong <- melt(Skulls, id=c("epoch", "year"))
bwplot(value ~ epoch | variable, data=sklong, scales="free",
ylab="Variable value",
xlab="Epoch",
panel = function(x,y, ...) {
panel.bwplot(x, y, ...)
panel.linejoin(x,y, col="red", ...)
}
)
bwplot(value ~ as.factor(year) | variable, data=sklong, scales="free",
ylab="Variable value",
xlab="Year",
panel = function(x,y, ...) {
panel.bwplot(x, y, ...)
panel.linejoin(x,y, col="red", ...)
}
)
--
Michael Friendly Email: friendly AT yorku DOT ca
Professor, Psychology Dept.
York University Voice: 416 736-5115 x66249 Fax: 416 736-5814
4700 Keele Street Web: http://www.datavis.ca
Toronto, ONT M3J 1P3 CANADA
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