similar to: Re: Biplot function of PCA

Hello, Peter, I tried it out: iconv(names(attributes(spss[,'Y6'])[[1]][14]), "UTF-8", "LATIN1", sub='byte') yielded [1] "<c4>rzte Chirurgie" and c4 corresponds in most encodings to ?. What can I do next? I wonder whether there is a more comfortable way then to change the occurences of <..> by the adequate character. Regards, Matthias

I couldn't find out how the following to solve: There is a column in a data.frame: > d[, 'Y6'] [1] 6 3 8 11 8 9 6 8 3 5 10 15 NA 9 8 3 8 16 6 6 NA 10 5 2 7 7 6 16 7 15 7 10 12 8 7 12 12 16 7 6 8 8 15 6 [45] NA 8 99 7 12 8 9 16 7 16 8 7 7 1 15 12 8 7 10 7 8 7 8 9 8 6 6 8 6 16 11 5 11 11 1 11 3 7 7 10 10 10 6 11 [89] 16 NA

Hi folks, today I tried to switch from a samba 2.2.2 PDC to a samba 2.2.7 PDC. Everything semed to be working fine with smbclient. Windows user couldn't log on, but with following differences: * users belonging to the domain admin group could log on from Win2k boxes * normal users couldn't log on from win2k boxes, with the usual "check if you didn't mis-type

Hi list I am just beginning to understand the complexities of linear mixed effects models. Maybe someone can give advise concerning the following problem: I have two groups of surgical patients in which repeated laboratory measurements were taken over time after surgery. I decided that lme would be the best model to fit the data. I already fitted the model lme(logratio ~ gr*I(pod-10) +

Hello Is there an easy way, i.e. a function in a package, to calculate the area under the curve (AUC) for drug serum levels? Thanks for any advice -- Armin Goralczyk, M.D. -- Universit?tsmedizin G?ttingen Abteilung Allgemein- und Viszeralchirurgie Rudolf-Koch-Str. 40 39099 G?ttingen -- Dept. of General Surgery University of G?ttingen G?ttingen, Germany -- http://www.chirurgie-goettingen.de

Dear list Maybe someone can help with the following problem: I have a source file containing the following code for plotting: pdf(file = 'data/mario/boxplot.pdf') bwplot(sig100 ~ target | group, data = fish, main = 'Boxplot der Signale in 100 Zellen nach Gruppe', xlab = '', ylab = 'Anzahl der Signale') dev.off() pdf(file = 'data/mario/xyplot.pdf')