similar to: RDCOMServer for R 2.0.1 + Windows ?

Hi Everyone, I'm experimenting with the RDCOMServer package under R-2.0.0. I'm not having much success yet - the methods im registering do show up in the registry but I'm not able to call the using RDCOMClient from another package. I'm still attempting to diagnose my problem in other ways, but though I should check to see if there are any problems have been observed by others

I am new to R and have two scripts written slightly different but should to relatively the same thing but my lack of experience with the program I can not figure out the what I need to do to correct it. The first script gives me a consistent mean fold change values with every run but can generate negative p values for some. For the second version of the script, the fold changes seem to be very

Full_Name: Vidar Hjellvik Version: 2.0.1 OS: windows Submission from: (NULL) (82.134.28.194) I have an tcltk application that runs without problems in R1.9.1, but when I press the "run"-button (and other buttons as well) in R2.0.1, I get the message: "Error in function () : can't change value of a locked binding". I have another tcltk application that runs fine on

Hi, I?m using R package RDCOMClient (http://www.omegahat.org/RDCOMClient/) to retrieve data from MS Excel workbook. I?m using the code below to count the number of sheets in the workbook and then loop the data from sheets in to a list. ############# R code ################### library(gdata) library(RDCOMClient) xl <- COMCreate("Excel.Application") sh <-

Hi, I am trying to plot the following data so that it can be visually represented well. I tried the dotchart but I felt it was too spread out. Then I tried the barplot which is good enough for me. Is there a way to give the labels for the y-axis as in the dot chart? Also, I feel the grey level is confusing, so is there options for designs within the bars? I cannot use color as the journal wants

Hi, This may be due to several reasons. That I can think about: 1) Ensure you close *all* possibly open workbooks: nBooks <- xl[["Workbooks"]]$Count(); for (i in seq_len(nBooks)) xl[["Workbooks"]]$item(i)$Close(SaveChanges=FALSE); 2) The excel application reference does not seem to be really released until the garbage collector runs. So this may help: xl$Quit();

Hi, I am trying to use the mimR Package. According to its help pages it needs the RDCOMClient package to run. When I try to evaluate a model I get > m.sat<-mim("..",data=gm.dat) Error in mim.cmd("clear; clear output") : couldn't find function "COMCreate" > m2.sat<-emfit(m.sat) Error in toMIM(mim$data) : Object "m.sat" not found >

Hello ... I've noticed that some of our Bioconductor code was running drastically slower under current R-devel vs. current R-patched - one example is below using a ttest. I have the following snippet of code that demonstrates the problem while avoiding "real" code that takes an extremely long time to finish on R-devel: library(genefilter) data(eset) eset$cov1 z <-

Hello, I ran my simulations on the Unix verson of R1.9.1 and the Windows version of R2.0.1 on XP. I kept getting different values for the mean of the same column of the same matrix, and am perplexed. I would appreciate if anyone could help explain the difference? Here is a sample code: set.seed(7293) z1v <- rnorm(1000, mean=68, sd=13) z1v <- (z1v-mean(z1v))/sd(z1v) Using R1.9.1 on Unix,

Dear all, I am processing a very long and complicated list using lapply through a custom function and I would like to generate some sort of progress report. For instance, print a dot on the screen every time 1000 item have been process. Or even better, reporting the percent of the list that have been process every 10%. However, I can't seem to figure out a way to achieve that. For instance,

Hi, I have a transition matrix T for which I want to find the steady state matrix for. This could be approximated by taking T^n , for large n. T= [ 0.8797 0.0382 0.0527 0.0008 0.0212 0.8002 0.0041 0.0143 0.0981 0.0273 0.8802 0.0527 0.0010 0.1343 0.0630 0.9322] According to a text book I have T^200 should have reached the steady state L L

We are trying to compile and run the ttest.c example that comes with R (in C:\Program Files\R\rw1081\src\library\windlgs\src\ttest.c). After compiling it with MS Visual C++ we load the DLL with dyn.load. So far it seems good, but when we try to call it from R (after running C:\Program Files\R\rw1081\src\library\windlgs\R\windlgs.R) R crashes. We have tried changing the exports from DLL but have

Dear list member, I am using the packages RDCOMClient and SWinTypeLibs and try to import a COM object (created in Delphi) in R that is of type 'early binding' instead of late 'late binding'. Is there a possibility to do this in R? Currently, the following returns an error message: l1 = LoadTypeLib("c:\\Programme\\INVESCO\\QaCalendar\\Calendar.dll")

Dear All: I have a library for R 1.9.1, it is very easy to setup a library in R 1.9.1. For example: I want to setup a library "test" for R1.9.1. 1. Create a folder "test" in the direct X:\ R\ rw1091\ library \. 2. Create a file "DESCRIPTION" in the direct X:\ R\ rw1091\ library\ test\. 3. Modify the "Package:" and "Title:"

Hello list, I have a similar issue as this post http://tolstoy.newcastle.edu.au/R/e6/help/09/04/11438.html#options2 and I used the suggestion provided by Jorge with modifications to my data do.call(c,lapply(your_list_with_the_t_tests,function(x) x$p.value)) but I am getting the following error after excuting the code B<-by(eo,eo$PlateID, function(.sub) t.test(mcp1~Self_T1D,data=.sub,

Hello, I would like to do a large number of e.g. 1000 paired ttest using the by-function. But instead of using only the data within the 1000 groups, R caclulates 1000 times the ttest for the full data set(The same happens with Wilcoxon test). However, the by-function works fine with the lme function. Did I just miss something or is it really not working? If not, is there any other possibility to

Dear R helpers, I have some difficulties in using ''break'' function with loop, and the followings are my script. What I try to do is (1) permute ''or'' first; (2) doing t-test if this ''or'' pass criteria 1 (k=1); (3) end the loop when I get 10 permutations; (4) redo everything again but this time use criteria 2 (k=2) (I have more criteria 1:n).

I'm stuck, but am sure it can be done I just don't understand how. I have data in an irregular timeseries. I want to be able to use stl to visualise the data (see seasonal parts etc), so I need to change to regular series of class ts (I think). I am using 2 zoo objects one is regular and the other is my irregular data. I am then merging to create the object I want but when I try to change

In discussing permutation tests, _Modern Applied Statistics With S Plus_ suggests this (IMHO) rather elegant approach to generating a distribution of t-tests: d<- ...some data... ttest <- function(x) mean(x)/sqrt(var(x)/length(x)) n<-1000 res<-numeric(n) for(i in 1:n) res[i] <- ttest(x<-d*sign(runif(10)-0.5) The problem is that the sign(runif) results in random permutation of

Hi all. After upgrading to R2.0.1 i get > "??" [1] "??" > "??" [1] "\370" > "??" [1] "??" Whereas under R1.9.1 i get > "??" [1] "??" > "??" [1] "??" > "??" [1] "??" Any hints apreciated. Steen Steen Ladelund, statistician +4543233275