search for: rdls

Dear all, I want to get a series of boxplots (grouped by two factors) and I want to overlay the original observations and the following code does almost what I want: library(ggplot) ddf <- data.frame(x=factor(rep(LETTERS[1:4], each=30)), y = runif(120,0,10), grp = factor(rep(rep(1:3, 10), 4))) ggplot(ddf, aes(x, y, colour=grp)) + geom_boxplot() + geom_point() Yet the position of the points

...9 factor(PRO)0:factor(PRE)0 -0.770 0.463 0.431 -1.789 0.074 ... What would the experts recommend? Kind regards, Dominik Dominik Grathwohl Biostatistician Nestl? Research Center PO Box 44, CH-1000 Lausanne 26 Phone: + 41 21 785 8034 Fax: + 41 21 785 8556 e-mail: dominik.grathwohl at rdls.nestle.com -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- 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-re...

...oblem seems to be some interaction with groupedData objects and graphic drivers. # Any hind is appreciated # Regards, # Dominik Dominik Grathwohl Biostatistician Nestl? Research Center PO Box 44, CH-1000 Lausanne 26 Phone: + 41 21 785 8034 Fax: + 41 21 785 8556 e-mail: dominik.grathwohl at rdls.nestle.com

Hi, I want to free memory used by R. The usage of rm and gc give no result. I'm running an algorithm consuming a huge memory and I need to recover the memory used by R between 2 call of my algorithm. Thank you in advance for your help. e-mail: sofiane.lariani at rdls.nestle.com Sofiane Lariani

...orr( fm1Weight ) Subj = pdLogChol(1) Variance StdDev (Intercept) 9.604662 3.099139 Residual 1.187553 1.089749 Dominik Grathwohl Biostatistician Nestl? Research Center PO Box 44, CH-1000 Lausanne 26 Phone: + 41 21 785 8034 Fax: + 41 21 785 8556 e-mail: dominik.grathwohl at rdls.nestle.com -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- 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-req...

...t.dll, to avoid the entire proxy configuration. Doing so, R crashes! What is wrong with internet2.dll? Kind regards, Dominik Dominik Grathwohl Biostatistician Nestl? Research Center PO Box 44, CH-1000 Lausanne 26 Phone: + 41 21 785 8034 Fax: + 41 21 785 8556 e-mail: dominik.grathwohl at rdls.nestle.com -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- 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-re...

Summary: proc mixed vs. lme The objective of this summary is to help people to get more familiar with the specification of random effects with proc mixed or lme. Very useful are the examples of Ramon Littell's book: "SAS System for Mixed Models (1996)" (http://ftp.sas.com/samples/A55235) The same data set's are kindly made available by Douglas Bates in the

...x1*x2 -0.5 -0.5 0.5 0.5; estimate 'x2' x2 -1 1 x1*x2 -0.5 0.5 -0.5 0.5; run; Thanks for the help, Dominik Dominik Grathwohl Biostatistician Nestl? Research Center PO Box 44, CH-1000 Lausanne 26 Phone: + 41 21 785 8034 Fax: + 41 21 785 8556 e-mail: dominik.grathwohl at rdls.nestle.com -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- 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-re...

Hi everybody, how is it possible to refer to an argument passed to a function in the function call? What I like to do, is something like f <- function(x,y) x+y f(2, x) # should give 4 The problem is of course that x is only known inside the function. Of course I could specify something like f(z<-2,z) but I'm just curious whether it is possible to use a fancy combination of eval,

Hi everybody, I want an x-axis which has xlim=c(max, min) rather than xlim=c(min, max) in order to reflect the type of the process (cooling): library(lattice) myprepanel <- function(x,y,...) list(xlim=rev(range(x))) x <- rep(1:10, 100) z <- factor(sample(10, 1000, T)) y <- rnorm(1000, x, as.numeric(z)) xyplot(y~x|z, scales=list(x="free"), prepanel=myprepanel) This works

Dear all, Today I figured out that there is a neat function called droplevels, which, well, drops unused levels in a data frame. I tried the function with some of my data sets and it turned out that not only the unused levels were dropped but also the contrasts I set via "C". I had a look into the code, and this behaviour arises from the fact that droplevels uses simply factor to drop

Hi, is it possible in one of the libraries on linear methods to constrain the coefficients to be positive? Thanks Chris -- Christoph M. Friedrich | mailto:friedrich at computer.org Gesellschaft f?r Modulfermenterbau mbH (GfM mbH) | http://www.tussy.uni-wh.de/~chris Alfred-Herrhausen Str. 44 ; D-58455 Witten, Germany

Hi everybody, Is there a particular reason, why this code does not work as intended: z <- factor(LETTERS[1:3], ordered = TRUE) u <- 4:6 min(z[u > 4]) Error in Summary.factor(2:3, na.rm = FALSE) : min not meaningful for factors I agree that min is indeed not meaningful for not ordered factors, but it makes sense for ordered factors. Especially since z[3] <

Dear all, In a function I paste a string and convert it to a formula which I pass to lm[e]. The idea is to write a function which takes the name of the response variable and the explanatory variable and the data frame as an argument and calculates an lm[e]. (see example below) This works fine, but if I want to make a prediction on this model, R complains that the object holding the formula

Hello, I'm using: platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 1 minor 8.1 year 2003 month 11 day 21 language R and I get the following error with: library(Design) df <- list(pre=c(0,, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1,

Dear all, I want to use aggregate.formula to conveniently summarize a data.frame. I have quiet some variables in the data.frame and thus I don't want to write all these names by hand, but instead create them on the fly. This approach has the advantage that if there will be even more columns in the data.frame I don't have to change the code. I've hence tried to construct a formula

Dear R-helpers, First of all I have nothing against the French language! But now my problem, yesterday I installed R 2.1.1 and I had to experience that my RGui is speaking French. My windows locals is French (Switzerland). I'm used to English and I want to reset my RGui to English. I was seeking for the solution in the archives, however not successfully. By the way the searchable archives

Hi all, In R it is possible to sum tables: > (a <- table(rep(1:3, sample(10,3)))) 1 2 3 2 5 7 > a+a 1 2 3 4 10 14 Now suppose that I have a list of tables, where each table counts the same things > k <- list(a,a,a) How can I sum all tables in k? > do.call(sum, k) [1] 42 does not work since it sums over each table. > do.call(`+`, list(a,a)) 1 2 3 4 10

Hello, ? I believe that in R, it is not possible to analyze mixed effect-models when the distribucion is not gaussian (p.e. binomial or poisson), isn't? ? Somebody can suggest me alternative? ? thanks ? xavi ? -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info",

Dear all, Assume that I have the following data structure: d <- expand.grid(subj=1:5, time=1:3, treatment=LETTERS[1:3]) d$value <- 10 ^ (as.numeric(d$treatment) + 1) + 10 * d$subj + d$time d$value2 <- 100000 + d$value where d$treatment == "C" stands for my control group. What I want to achieve now is to subtract the values corresponding to d$treatment == "C" from