Hello,
"I'm just starting out in R and have a basic question about xyplot and
tables. Suppose I had a table of data with the following names: Height,
Age_group, City. I'd like to plot mean Height vs Age_group for each City"
You did not provide a sample data.frame, so I generated one. This example is
basically borrowed directly from Figure 4.3 in Sarkar's excellent book,
"Lattice". Personally, I do feel that a plot such as the one below is a better
display choice than a simple table of the means, but some may disagree.
Please note that my random data do not contain effects for either age.group or
city, so my guess is that your resulting plot will look cleaner (i.e., contain
some visual signal.)
## BEGIN SAMPLE R CODE
## create sample data.frame
df <- data.frame(height <- rnorm(1000, 10),
age.group <- sample(gl(10,100,
labels = paste("Age Group", 1:10))),
city <- sample(gl(4, 250, labels = paste("City", 1:4))))
## tabulate the data in matrix form
h.tab <- with(df, tapply(height,
list(age.group, city),
mean))
## use dotplot with the matrix object
dotplot(h.tab, type = "o",
auto.key = list(lines = TRUE, space = "right"),
xlab = "height")
## END SAMPLE R CODE
Best,
Erik Iverson
______________________________________________
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.
