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Hi, I'm trying to figure out how to use lme() for analyzing a split-plot experiment. I've been looking at the examples from the 'R Book', those are nested but with only one factor at the whole-plot...

That's a good example with a couple levels of nesting (similar to the examples in the other book), but they still only have one factor, 'Variety', nested in each block. Am I missing something? Should I make up a...

I should say I'm using Google books to look at 'Mixed effects models...' so I can't see pp 49 - 50. On Thu, May 7, 2009 at 6:02 PM, Joshua Stults <joshua.stults at gmail.com> wrote: > That...

If you need auto(cross)correlations in O(n*log(n)) rather than O(n^2) you can use an FFT. Here's a good short write-up on using the FFT for this (numerical recipes chapter): http://hebb.mit...

I was having the same frustration so I made a Google custom search engine for Open Math Tools: http://www.google.com/coop/cse?cx=015659631714008342946:wolsniqtrxc It gives preferences to results from r-project.org, octave.org, maxima.sourceforge...

Hello r-help, I'm fitting a model with lm() and using the orthogonal polynomials from poly() as my basis: dat <- read.csv("ConsolidatedData.csv", header=TRUE) attach(dat) nrows <- 1925 Rad <- poly(Radius, 2) ntheta <- 14 Theta <- poly(T...

Thanks for the tip. That lead me to find this paper: http://www.ualberta.ca/~baayen/publications/baayenDavidsonBates.pdf which looks like it will answer my problem. Depending on how we actually decide to execute the test it might turn...