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...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 list archive at Nabble.com.

The management decided to switch over to Zimbra so we will no longer be using Dovecot...which served us exceedingly well. May Timo and the Dovecot community prosper. Thanks for all the help from all of you in the years since our switch from UW-IMAP. -- "Grant us, in our direst need, the smallest gifts: the nail of the horseshoe, the pin of the axle, the feather at the pivot point, the pebble at the mountain's peak, the kiss in despair, the one right word. In darkness, understanding." Paladin of Souls by Lois McMaster Bujold -- ==== Stewart Dean, Unix System Adm...

Want to have some users with Maildir, some with mbox, as I migrate from mbox format to maildir over the space of a month. After everyone is converted to maildir, I'll change the mail_location in dovecot.conf. During the interim, can I use the Custom mailbox location script (at the bottom of the Mail Location DC Wiki page)? > if [ -d $HOME/.maildir ]; then > export

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",