search for: normalization2

...me the same after operations (normalization). So to compare operations, I do this for each normalization: s= sum (apply (normalized.matrix, 2,sd)) c= cor (normalized[,1],normalized [,2], method='pearson') I expect that if normalization 1 is superior, s should be less and c greater than normalization2, but both s and c change in 1 direstion. Is this possible or am I doing something wrong? Thank you in advance. -- View this message in context: http://r.789695.n4.nabble.com/Sum-of-sd-between-matrix-cols-vs-spearman-correlation-between-them-tp4535057p4535057.html Sent from the R help mailing l...

I have data that looks like this: > df1 group id 1 red A 2 red B 3 red C 4 blue D 5 blue E 6 blue F I want a list of the groups containing vectors with the ids. I am avoiding subset(), as it is only recommended for interactive use. Here's what I have so far: df1 <- data.frame(group=c("red", "red", "red", "blue",