Thanks Josh,
I do want to see each plot. I took your code and modified it (below) and
it appears to do what I wanted:
my.data <- data.frame(var1=rnorm(1000), var2=rnorm(1000),
TimePeriod=factor(rep((LETTERS[1:4]), 250)))
str(my.data)
lapply(names(my.data[ , 1:2]), function(y) {
quartz()
boxplot(my.data[, y] ~ my.data[, "TimePeriod"],
main = y)
})
On 22/06/10 11:25 AM, Joshua Wiley wrote:
Hello Shawn,
Does this do what you want? I'm assuming you want to look at each
plot, so I added a call to par().
#######
my.data<- data.frame(var1=rnorm(1000), var2=rnorm(1000),
TimePeriod=factor(rep((LETTERS[1:4]), 250)))
str(my.data)
lapply(names(my.data[ , 1:2]), function(y) {
old.par<- par(no.readonly = TRUE)
on.exit(par(old.par))
par("ask"=TRUE)
boxplot(my.data[, y] ~ my.data[, "TimePeriod"],
main = y)
})
######
HTH,
Josh
On Tue, Jun 22, 2010 at 9:45 AM, Shawn Morrison
<shawn.morri...@dryasresearch.com> wrote:
Hi all,
I have a dataset with several variables, each of which is a separate column.
For each variable, I want to produce a boxplot and include the name of the
variable (ie, column name) on each plot.
I have included a sample dataset below. Can someone tell me where I am going
wrong?
Thank you for your help,
Shawn Morrison
# Generate a sample dataset
var1 = rnorm(1000)
var2 = rnorm(1000)
TimePeriod = rep((LETTERS[1:4]), 250)
my.data = as.data.frame(cbind(var1, var2, TimePeriod)); summary(my.data)
attach(my.data)
# Create box plots for var1 and var2 using TimePeriod on the x-axis
lapply(my.data[,1:2], function(y) {
boxplot(y~TimePeriod,
main = y
data = my.data)
})
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
