search for: testdim

...-g -O2 -c fourthcorner.c -o fourthcorner.o gcc -std=gnu99 -I/usr/share/R/include -fpic -g -O2 -c phylog.c -o phylog.o gcc -std=gnu99 -I/usr/share/R/include -fpic -g -O2 -c testamova.c -o testamova.o gcc -std=gnu99 -I/usr/share/R/include -fpic -g -O2 -c testdim.c -o testdim.o gcc -std=gnu99 -I/usr/share/R/include -fpic -g -O2 -c testrlq.c -o testrlq.o gcc -std=gnu99 -I/usr/share/R/include -fpic -g -O2 -c tests.c -o tests.o gcc -std=gnu99 -shared -o ade4.so adesub.o divsub.o fourthcorner.o phylog.o testamova.o testdim.o...

I am seeking information on whether anyone has written code to perform Horn's parallel analysis (a procedure that informs the selection of the proper number of components in PCA) in R. Thank you in advance for any help you can provide. Please respond off-list at the email address below. Karen Douglas ******************************************************************* Karen Douglas,

Dear R gurus, I have some climatic data for a region of the world. They are monthly averages 1950 -2000 of precipitation (12 months), minimum temperature (12 months), maximum temperature (12 months). I have scaled them to 2 km x 2km cells, and I have around 75,000 cells. I need to feed them into a statistical model as co-variates, to use them to predict a response variable. The climatic

G'Day R users! Following an ordination using prcomp, I'd like to test which variables singnificantly contribute to a principal component. There is a method suggested by Peres-Neto and al. 2003. Ecology 84:2347-2363 called "bootstrapped eigenvector". It was asked for that in this forum in January 2005 by J?r?me Lema?tre: "1) Resample 1000 times with replacement entire