search for: schwender

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2010 Mar 07
2
vectorizing ANOVA over a vectorized linear model
Is it possible to vectorize anova over the output of a vectorized lm? I have a gene expression matrix with each row being a gene and columns for samples. There are several factors with interactions. I can get p values by looping over the matrix with lm and anova, but I would like to make this as computationally efficient as possible. I am able to vectorize the lm command, but when I try to use
2008 Mar 04
2
paired or one-sample t-Test
Hi Guys, I am having a real hard time trying to figure out for microarry. Here is my code One-Sample t-Test dim(data.sub) [1] 10000 140 ##there are 10000 probesets and 140 columns hist(data.sub) ## Histogram. Identify if the probesets are normal distributed q<-rnorm(10000) ##generate 10000 random, normal distributed values qqplot(data.sub,q)) ##Show the plot of the probeset
2010 Sep 13
2
post
Hello, I have a question regarding how to speed up the t.test on large dataset. For example, I have a table "tab" which looks like: a b c d e f g h.... 1 2 3 4 5 ... 100000 dim(tab) is 100000 x 100 I need to do the t.test for each row on the two subsets of columns, ie to compare a b d group against e f g group at each row. subset 1: a b d 1 2 3 4 5 ... 100000