search for: hurlbert

...her, I stripped the model down to a simple bivariate relationship between two variables (NDVI, and species richness), where it's my understanding that the SEM's standardized path coefficient should equal the correlation coefficient. The datafile can be downloaded at http://labs.bio.unc.edu/Hurlbert/pubs/NDVI_lep_data.csv The model specification file can be downloaded at http://labs.bio.unc.edu/Hurlbert/pubs/SEM_NDVI_AllS_model.txt and is simply: NDVI -> All.S, n2S, NA All.S -> All.S, S2S, NA NDVI <-> NDVI, n2n, 1 df = read.csv('NDVI_lep_data.csv',header=T) cor(df[,c('...

This happened two or three weeks ago and it's happening again. Spammers are using Nabble to attack R-Help. The psts are signed radhi and the posts' titles are taken from previous posts and therefore seem authentic but all messages end with "click here". I suggest you don't. And don't rply to this "radhi" And again on a weekend. Rui Barradas

Here's a question for ecologists on the r-help list-- I'm addressing this to ecologists in particular because they're most likely to be familiar with the equation in question but I'll be happy to discuss the problem with anyone who's willing to take a whack at it. I'm trying to write a function to calculate the large sample variance of species richness estimates by

Hello: I have an two factorial random block design. It's a ecology experiment. My two factors are, guild removal and enfa removal. Both are two levels, 0 (no removal), 1 (removal). I have 5 blocks. But within each block, it's unbalanced at plot level because I have 5 plots instead of 4 in each block. Within each block, I have 1 plot with only guild removal, 1 plot with only enfa removal,