Hello,
Maybe the following will help.
layout(matrix(c(1,2,3,0,4,5,6), c(1,6)))
Note the zero. It reserves space but no graph is put there.
There is an error in your code, you plot twice guns/gender. I think the
second is meant to be guns/age.
Also, you can do those 6 barplot instructions like this:
lapply(c("gender", "age"), function(y) {
lapply(c("guns", "crime", "climate"), function(x)
barplot(prop.table(table(dat[[x]], dat[[y]]), 2)))})
Hope this helps,
Rui Barradas
Em 31-01-2013 15:42, Simon Kiss escreveu:
Hello: I need to create a six barplots from data that looks pretty close to
what appears below. There are two grouping variables (age and gender) and three
dependent variables for each grouping variables. I'm not really familiar with
trellis graphics, perhaps there is something that can do what I need there, i
don't know.
The thing is: I *need* these to appear on one row, with some way of
differentiating between the three barplots of one grouping variable and the
three from the other grouping variable. It's for a grant application and space
is at a premium. The width of everything can be about 7 inches wide and the
height maybe 2 to 2.5 inches. I also need an outer margin to place a legend. I
can do this with the following using the layout command, but I cannot figure
out a nice way to differentiate the two groups of variables. I'd like to find
a way to put a little bit of space between the three from one grouping variable
and the three from another grouping variable.
If anyone has any thoughts, I'd be very grateful. Yours truly, Simon J. Kiss
###Random Data
crime<-sample(c('agree' ,'disagree'), replace=TRUE, size=100)
guns<-sample(c('agree','disagree'), replace=TRUE, size=100)
climate<-sample(c('agree', 'disagree'), replace=TRUE, size=100)
gender<-sample(c('male','both' ,'female'), replace=TRUE, size=100)
age<-sample(c('old', 'neither', 'young'), replace=TRUE, size=100)
dat<-as.data.frame(cbind(crime, guns, climate, gender, age))
###Code I'm working with now
layout(matrix(c(1,2,3,4,5,6), c(1,6)))
barplot(prop.table(table(dat$guns, dat$gender), 2))
barplot(prop.table(table(dat$crime, dat$gender), 2))
barplot(prop.table(table(dat$climate, dat$gender), 2))
barplot(prop.table(table(dat$guns, dat$gender), 2))
barplot(prop.table(table(dat$crime, dat$age), 2))
barplot(prop.table(table(dat$climate, dat$age), 2))
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