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Help. - Is there a beginner's manual for R? - How do i analyse gene expression data using R, to generate a dendrogram. I would greatlyy appreciate every bit of input. -- BEST Paul [[alternative HTML version deleted]]

...der = T, row.names=1, sep=","); My problem is largely when i attempt to use correlation for my data... xcc <- cor(a); The error i get is as follows Error in cor(a) : missing observations in cov/cor In addition: Warning message: In cor(a) : NAs introduced by coercion Regards Paul Murima

....names=1, sep=","); xcc <- cor(zcz); pdf("SIGA.pdf", height=10,width=9) heatmap.2(xcc, margins= c(9,9), col = bluered(64), trace=c("none"), breaks=c(seq(-1,1,1/32)), symkey=TRUE, density.info="histogram", cexRow=1) I thank you all. Paul -- BEST Paul Murima

...meter for plotting a tree which is wide enough to have all leaves separated and readable labels even for that many objects? This would produce a very big image, so I think scrolling is essential. I believe the answer is simple, but I'm unable to figure it out. Thanks in advance -- BEST Paul Murima

Hi. I have data which i would want to assess the degree of agreement between two assays, e.g., to evaluate reproducibility or for inter-rater reliability. I have used the Pearson product-moment correlation coefficient. It looks good ranginging between 0.90 to 0.998. Though this looks good. I am told the Concordance correlation coefficient will give a better picture of how reproducible the assay