Dear all, We compared the gene expression level in two conditions: high (H) and low (L), using real-time PCR. We had 3 samples of each condition, and we quantified each sample twice (i.e. a technical replication). Our data looks like: H1 H1 H2 H2 H3 H3 L1 L1 L2 L2 L3 L3
We want to test if the level in H vs L is significantly different. I would like to use ANOVA and I guess a nested model with the samples as random variables should be used. How do you do it with R? (assume we don't have much experience with R, nor with statistics) Thanks in advance, Eran Need a new email address that people can remember Check out the new EudoraMail at http://www.eudoramail.com ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
