How about something like this?
mydata <- matrix(runif(180), ncol=9)
mydata <- as.data.frame(mydata)
mydata$V10 <- rnorm(20, 50, 10)
mydata$GROUP <- as.factor(rep(c("G1","G2"), c(10,10)))par(mfrow=c(2,5))
for(i in 1:10){
boxplot(mydata[,i] ~ mydata$GROUP, main=names(mydata)[i])
}hope it helps,
Chuck Cleland
Christoph Lehmann wrote:
many thanks for your great tip. I didn't know reshape.
Unfortunately in my real data, the values of my variables are ont all within the same range. Therefore, what shall I change in the code to get for each plot a scale, which is adjusted to the range of my variable?
thanks a lot
christoph
Chuck Cleland wrote:
Your variables (var.*) seem to be on the same scale. How about reshaping the data into a univariate layout and then using bwplot as follows:
mydata <- data.frame(ID = 1:20, A = runif(20), B = runif(20), C = runif(20), GROUP = rep(c(0,1), c(10,10)))
mydata.uni <- reshape(mydata, varying = list(c("A", "B", "C")), v.names = "Y", timevar = "VAR", times = c("A", "B", "C"), direction = "long")
library(lattice)
bwplot(Y ~ as.factor(GROUP) | VAR, data = mydata.uni, layout=c(3,1,1), xlab="Group")
hope this helps,
Chuck Cleland
Christoph Lehmann wrote:
Hi
I have 10 variables and 2 groups. I know how to plot a bwplot for ONE var. e.g.
var.a var.b var.c .. GROUP 0.2 0.5 0.2 .. 0 0.3 0.2 0.2 .. 0 .. 0.1 0.8 0.7 .. 1 0.5 0.5 0.1 .. 1 ..
bwplot(var.a ~ GROUP, data = my.data)
How can I plot 10 bwplots (or boxplots) automatically into one graphic? is there any function from lattice which can do this?
thanks for a short hint
christoph
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