search for: schlattmann

...e make install When starting R and trying to display a plot on the X-window system output is written to a postscript file. When I try to run x11 with >x11() Error in X11(): X11 is not available. I do have a running x11 window system with KDE Any help is appreciated. Many thanks Peter Schlattmann

Dear all, I have a problem with the readline editor of R since it doesn't work. Setting ./configure --with-readline does not the fix the problem. Does anyone have an idea how to fix this? Many thanks in advance! Peter Schlattmann -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at sta...

Dear all, I need to stack the columns of a matrix with a variable number of columns. I am aware of new<-c(a[,1],a[,2]) if I have a matrix 'a' with e.g. two columns. For a simulation study I need to stack the matrix with a variable number of columns. Is there a way to do this? Many thanks in advance Peter

Dear all, does any of you know a source for R code for the generation of correlated binary random numbers? Thanks a lot Peter Schlattmann -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at sta...

Dear all, I tried to create a groupedData object, where the grouping factor is not ordered. Here ist the code: library(nlme) test<-groupedData(conc~Time|Subject,order.groups=F,data=as.data.frame(Theoph)) > getGroups(test) Levels: 6 < 7 < 8 < 11 < 3 < 2 < 4 < 9 < 12 < 10 < 1 < 5 I still get an ordered factor. As always thanks for your help peter

Dear list, is there a function available which provides an estimate of the hazard function based on a cox proportional hazard model? I only found the cumulative hazard and the survival function as survfit options. Thanks for your help Peter

Dear all, I am trying to gain some experience with the function gnls from the nlme package. I tried to model the Theophyline data by trying to model the presumed dependency of the clearance on the body weight. This is my function call of gnls: gnls(conc~SSfol(Dose,Time,lKe,lKa,lCl),data=Theoph, params=list(lKe~1,lKa~1,lCl~Wt),start=c(-2.4,0.46,-3.22,0.01)) That's been the result: Error

Dear all, is there a way to extract the individual variance-covariance matrix of the parameter estimates of the i-th individual using nlsList ? Thanks a lot Peter -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the

Dear list, I am looking for a way to fix the scale parameter when fitting a generalized linear model with gamma errors and log link. Is there something like "SCALE" such as in GLIM? As always thanks a lot. Peter

Dear all, I would like to simulate data from a nlme model using fixed effects and the variances of the random effects distribution. I scanned the help files and the mailing lists with no succes. Thanks for your help! Peter

Dear all, I am trying to use xyplot inside a function plotme<-function(dataframe) { xyplot(x~y|z,data=dataframe) } x,y,z are members of the data frame. When calling function library(lattice) plotme(dataframe) nothing happens. (R-1.8.0, SuSe Linux 8.1) What am I doing wrong? Many thanks in advance Peter

Dear all, when performing a meta analysis I have two results obtained with logLik and lme, which I do not quite understand. The results are based on these data: study or var 1 0.10436 0.299111 2 -0.03046 0.121392 3 0.76547 0.319547 4 -0.19845 0.025400 5 -0.10536 0.025041 6 -0.11653 0.040469 7 0.09531 0.026399 8 0.26236 0.017918 9 -0.26136 0.020901 10 0.45742 0.035877 11

Dear list, I do have a problem with nls. I use the following data: >test time conc dose 0.50 5.40 1 0.75 11.10 1 1.00 8.40 1 1.25 13.80 1 1.50 15.50 1 1.75 18.00 1 2.00 17.00 1 2.50 13.90 1 3.00 11.20 1 3.50 9.90 1 4.00 4.70 1 5.00 5.00 1 6.00 1.90 1 7.00 1.90 1 9.00 1.10 1 12.00 0.95 1 14.00