similar to: regarding 3d Bar Plot

All, The code below produces a color 3D graph. I'd like to make it black and white shading. I tried setting col.regions to FALSE but this just made it completely white. I want the graph to look exactly as is, except black (or grey) and white shading. Is this possible? Cheers, David p.list = c(.01, .1, .25, .5, .75, .9) cov.list = c(.2, .1, .05) ### leave out .01 X = rep(p.list, 3)

H all, I have relative abundance data from >100 sites. This is from acoustic monitoring and usually the data is for 2-3 nights but in some cases my be longer like months or years for each location.. The data output from my management data base is proved by species by night for each location so data frame would look like this below. What I need to do is sum the Survey_time by Spec_Code for

Dear All, I have the following data coming out from s <- with(final, summarize(norm, llist(gtt,fdiab), function(norm) { n <- sum(!is.na(norm)) s <- sum(norm, na.rm=T) binconf(s, n) }, type='matrix') ) ie gtt fdiab norm.norm norm.norm2 norm.norm3 18

Hi everyone, I have a data.table called "data" with many columns which I want to group by column1 using data.table, given how fast it is. The problem with looping a data.table is that data.table does not like quotations to define the column names (e.g. "col2" instead of col2). I found a way around which is to use get("col2"), which works fine but the

Dear R-maillit, I have to perform a stastistical test to asses if two grug show the same or different effect on my prepartion. I tested on the same preparation only one drug and I have to use normalized data due to high variability in the control condictions. What type can I use? A non paramatric test right? And how can do it on R software? Thanks in advance Simone [[alternative HTML version

Hello, I know, this is a real newbie question, but I can't find anything on this in the manuals! I know that I get calculate the column totals of a table with `apply(mytable, 2, sum)'. Now I want each column total to be 100% and calculate the percentage of each field of the column. How would I do that? Rcommander, the ultimate newb-tool, has a function `colPercents' which is exactly