search for: norep

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2006 Oct 08
1
Simulate p-value in lme4
...pil2$trt) * (epil2$period > 0) epil2$subject <- factor(epil2$subject) epil3 <- aggregate(epil2, list(epil2$subject, epil2$period > 0), function(x) if(is.numeric(x)) sum(x) else x[1]) ************simulation (SG)************ o <- with(epil3, order(subject, y)) epil3. <- epil3[o,] norep <- with(epil3., subject[-1]!=subject[-dim(epil3)[1]]) subj1 <- which(c(T, norep)) subj.pred <- epil3.[subj1, c("subject", "pred")] subj. <- as.character(subj.pred$subject) pred. <- subj.pred$pred names(pred.) <- subj. iter <- 10 chisq.sim <- rep(NA, iter...
2006 Aug 17
1
Simulate p-value in lme4
Dear list, This is more of a stats question than an R question per se. First, I realize there has been a lot of discussion about the problems with estimating P-values from F-ratios for mixed-effects models in lme4. Using mcmcsamp() seems like a great alternative for evaluating the significance of individual coefficients, but not for groups of coefficients as might occur in an experimental design
2007 Mar 07
5
how to "apply" functions to unbalanced data in long format by factors......cant get "by" or "aggregate" to work
Hello R users, Problem.......I do not understand how to use "aggregate","by", or the appropriate "apply" to perform a function on data with more than one factor on unbalanced data... I have a data frame in the long format that does not contain balanced data. The ID is a unique identifier corresponding to the experimental unit that will later be examined by ANOVA,
2014 Dec 01
0
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2014 Dec 01
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2014 Dec 01
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2014 Dec 01
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2014 Dec 01
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2014 Dec 01
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2014 Dec 01
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2014 Dec 01
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2014 Dec 01
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2014 Dec 01
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2014 Dec 01
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