similar to: batchfiles 0.4-0

batchfiles is a set of batch, javascript and HTML Application files that are useful for running R and associated programs on Windows. Version 0.6-0 updates them for the new architecture specific directory structure in R 2.12.0 . A few of the lesser used utilities have been dropped. Each batchfile is self contained. To install just place all or just any that you wish to use anywhere on your

batchfiles is a set of batch, javascript and HTML Application files that are useful for running R and associated programs on Windows. Version 0.6-0 updates them for the new architecture specific directory structure in R 2.12.0 . A few of the lesser used utilities have been dropped. Each batchfile is self contained. To install just place all or just any that you wish to use anywhere on your

batchfiles 0.4-1 consists of a set of Windows Vista .bat and other scripts used as front ends to R CMD ... and for other purposes. Whereas Version 0.4-0 of batchfiles eliminated the need to set any paths when running R, version 0.4-1 now eliminates the need to set any paths when building and installing R packages. It does this by using the registry to find R and rtools and uses a heuristic to

batchfiles 0.4-1 consists of a set of Windows Vista .bat and other scripts used as front ends to R CMD ... and for other purposes. Whereas Version 0.4-0 of batchfiles eliminated the need to set any paths when running R, version 0.4-1 now eliminates the need to set any paths when building and installing R packages. It does this by using the registry to find R and rtools and uses a heuristic to

A new version of the Windows batchfiles is available. CHANGES The key change is the new R.bat utility. R.bat has a new interface and extended functionality covering many of the other prior utilities. (These older utilities are no longer needed and have been removed.) Unlike R.bat which requires no configuration the new Rpathset.bat utility is configured by manually changing the Windows batch

A new version of the Windows batchfiles is available. CHANGES The key change is the new R.bat utility. R.bat has a new interface and extended functionality covering many of the other prior utilities. (These older utilities are no longer needed and have been removed.) Unlike R.bat which requires no configuration the new Rpathset.bat utility is configured by manually changing the Windows batch

hello all, when I start up the R and I execute o follow code: > ls() character(0) > x=123 > assign("test_x", x, envir = .GlobalEnv ) > ls() [1] "test_x" "x" > setwd('C:\\R\\etc') > save.image('TEST.RData') > q('no') I have two different behaviours: (a) - when I start up R again by "double click" in

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I have a two-dimensional loess fit, and need to calculate the gradient field from it. Even after looking at loess.c and loess.f, I don't understand the meaning of the returned polynomial coefficients. Or is the brute force method of using a tangential approx to the fitted values the way to go? Dieter Menne --------------------------------------- Dr. Dieter Menne Biomed Software 72074

Is there an easy way to remove data frame columns by name instead of by index? The following gives the idea remove<-c("subj","drug") data[-remove] I found a solution with a few evals and substitutes, similar to that used in reshapeLong, but there must be an easier way out. Dieter --------------------------------------- Dr. Dieter Menne Biomed Software 72074 T?bingen Tel

Dear R-Listers, to measure the psychometric curve of pitch discrimination, one sequentially presents two tones of slightly different pitch to an observer (animal will do), and asks "which is higher". The pschometric curve is the fraction of correct responses plotted against the pitch difference. It passes through 50% (pure guessing) at zero and normally approaches 100% at large

Dear R-supporters, I have results of lme similar to those shown in Fig. 1.21, p.51 of Pinheiro/Bates. However, In my data set, one of the panels is missing, leading to an ugly frame shift of the following panels. How can I replace one of the panels by an empty one to restore the raster? Dieter Menne --------------------------------------- Dr. Dieter Menne Biomed Software 72074 T?bingen Tel

Using a formula converted with as.formula with lme leads to an error message. Same works ok with lm, and with lme and a fixed formula. # demonstrates problems with lme and as.formula demo<-data.frame(x=1:20,y=(1:20)+rnorm(20),subj=as.factor(rep(1:2,10))) demo.lm1<-lme(y~x,data=demo,random=~1|subj) print(summary(demo.lm1)) newframe<-data.frame(x=1:5,subj=rep(1,5))

Dear R's, I have a survey where customers rank a set of 5 packages for a product, so the response variable looks like a d b c a c d b d b a c Predictors variables are 4 socio-economic parameters. I have modelled the FIRST choice of each subject as a multinomial model, similar to the housing example in MASS ch7.3, , but I would prefer to use the whole rank-set instead. Can someone give me a

deriv seems to have problems with a minus-sign before a bracket. Below are four examples of the same function, the top one is wrong, all others are correct (hopefully). Rest of expression not shown, it is the same for all versions. _ platform i386-pc-mingw32 arch x86 os Win32 system x86, Win32 status major 1 minor 3.0 year 2001 month 06 day 22 language R

Dear friends of nlme, Running quinModel (Pinheiro/Bates page 380) on R (current release, windows) gives: Nonlinear mixed-effects model fit by maximum likelihood Model: conc ~ quinModel(Subject, time, conc, dose, interval, lV, lKa, lCl) Data: Quinidine Log-likelihood: -497 Fixed: lV + lKa + lCl ~ 1 lV lKa lCl 5.382 -0.273 2.470 Random effects: Formula: list(lV ~ 1, lCl ~ 1)

I am confused by the logic of renaming: # Rename individual list items? Empl<-list(employee="Anna",spouse="Fred") names(Empl)<-c("empl","spo") names(Empl) #[1] "empl" "spo" # worked like a charm... but names(Empl[1])<-"newempl" # no error message, yet .... names(Empl) #[1] "empl" "spo" #

Dear Mixed Effect Friends, Somehow, R(1021, Windows) seem to run differently from S Plus: The soybean example from Pinheiro/Bates on page 290 fails in R. (Soybean1 is Soybean with the NA and "critical" case removed. Same procedure with full Soybean). > fm1Soy.lis<-nlsList(weight~SSlogis(Time,Asym,xmid,scal),data=Soybean1) > fm1Soy.nlme<-nlme(fm1Soy.lis) Error: Singularity

I try to display the grouping variable in coplot. It work, but it's special solution and rather ugly. Any better idea? # Simulate my data frame data(state) x77<-data.frame(state.x77) x77$region<-state.region coplot(Life.Exp ~ Income | region, data=x77, show.given=F, subscripts=T, panel = function(x, y,subscripts, ...) { panel.smooth(x, y, span = 1., ...)

I have problem getting the concept of a nested fixed variable into the nlme scheme. I fear the question is very stupid. In the past I had asked this before, and never got a reply (in other cases, the response was within hours). I also checked the S-list, where several similar enquiries of other people are orphaned. We have a cross-over design, where patient are treated two weeks with placebo,