similar to: Plotting lines to sets of points

Hello, I'm trying to use tapply to find group means in a function. It works outside of a function, but I get the error message from the following code: "Error in tapply(index, cluster, mean) : arguments must have same length." Any suggestions? Thanks. eric d <- data.frame(cbind(cluster=1:2, value1=1:10, value2=11:20)) d FindClusterTraits <- function(framename, index){

Hi, this is my first post so please be gentle. I quite new to R and using it for my biology degree. My problem is. Im trying to import data from a .csv file using the read.table command. The .csv file header starts on row 2 but is contained in column 1, i have 600 data files and for future ease would rather not edit each file seperatly. The data starts on row three and I only need the first 381

Hello, I've imported a csv, semi-colon spearated file with read.csv2, containing one column of rownames and one column of floating point numbers. When I look at the column of data with framename$columnname, I get the values of the column plus level values. Are these level values created automatically ? The problem is when I try to calcluate the correlation coefficient between this set of data

Hi, 1) Can the online api docs get updated? Specifically can the overview pages get added in to the main http://wxruby.rubyforge.org/doc/ index.html page? I happened upon the link to the Event Overview page while browsing some class and wished that it had been listed in the Event section of the index page.I don''t know how many other "overview" pages there are but it

Hello, Is there a combination of par() settings or other commands that will allow me to uniformly reduce the size of graphics outputs? It appears that the png() device outputs 5-inch by 5-inch images, and I am trying to change my whole script to produce 4x4 images with the same proportions. I tried specifying parameters within each png(), but it reduced the size of the file without refitting the

Hello, I am having trouble with the difference between default graphic settings on my client machine and the instance of R on our company's server. I created a script locally that output graphs, but when I run it on the server the output graphs have titles running past the margins, legends improperly placed, etc. I checked the default par() settings and found differences between my machine

The Rprofmem facility is currently enabled only if the configuration option --enable-memory-profiling is used. However, the overhead of having it enabled is negligible when profiling is not actually being done, and can easily be made even smaller. So I think it ought to be enabled all the time. I've attached a patch doing this, which also makes a number of other improvements to Rprofmem,