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...can I do the same matching in a matrix and get a matrix without NA elements (and less colums of course)? matrix <- array(1:5*2, dim=c(5,2)) matrix[,1] <- a matrix[,2] <- b matrix[,][(!is.na(matrix[,]))] Gives me always a vector not a matrix. Thanks a lot for any hint, Fabian -- Fabian Lienert, Climatology Student ETH Zurich, Switzerland

...d image in it can be used. Does anybody know what to consider or provide when working in a external console like bash and/or does anybody know about such halted executions when working with GDAL? Help is greatly appreciated, Ciao, Chris _______________________________________________ Christophe Lienert ETH Zurich Institute of Cartography Wolfgang-Pauli-Str. 15 HIL G 13.3 CH-8093 Zurich SWITZERLAND Fon: +41-44-6333036 Fax: +41-44-6331153 www.karto.ethz.ch lienert at karto.baug.ethz.ch <mailto:lienert at karto.baug.ethz.ch>

...ix( sample( 1:7, 17*6, repl=T ), nrow = 17, byrow = TRUE, dimnames = list(1:17, paste( 'T', 1:6, sep='' )) ) I found the Friedman test and the Quade test for testing the overall hypothesis. friedman.test( x ) quade.test( x ) However, the R help files, my text books (Bortz, Lienert and Boehnke, 2008; K?hler, Schachtel and Voleske, 2007; both German), and the Wikipedia texts differ in what they propose as requirements for the tests. R says that data need to be unreplicated. I read 'unreplicated' as 'not-repeated', but is that right? If so, the example, in c...

...t calculate the exact values with ties. Is there any other package that is providing a similiar test? Or is there an easy work out how to take the ties into account? (Or a chance that the correction is taken into account for the stats package?) Stefan Grosse Take the following example from Bortz/Lienert/Boehnke: > x1<-c(9,14,8,11,14,10,8,14,12,14,13,9,15,12,9) > x2<-c(13,15,9,12,16,10,8,13,12,16,9,10,16,12,9) # exactRankTests package: > wilcox.exact(x1,x2,paired=TRUE) Exact Wilcoxon signed rank test data: x1 and x2 V = 13, p-value = 0.1367 alternative hypothesis: true...

Greetings, I have two questions that I could not answer from the documentation. A - ecdf and confidence intervals : Is there a (simple) way to generate confidence intervals (95%) for a ecdf? B - cross-validation of rpart trees : a colleague is using S to generate decision tree and mentioned to me the use of cross-validation. Is this function enabled in R ? if so, how should one proceed to

Hi, I was trying to draw an empirical distribution function with uniform confidence bands. So I tried to find a way to calculate values of the Kolmogorov-Smirnov Distribution but failed. I guess it must be hidden somewhere (since the ks-test is implemented), but I was unable to find it. Is there any way to do this? Thanks Leif Boysen