similar to: Write to a file

Something seems to have changed with the debugger option since I used it last, unless I've forgotten something really stupid (much more likely) . The debugger doesn't seem to recognise the names of C routines ***************** [jonm at localhost jonm]$ cat test.c #include "S.h" void test(int *x,int *y){ y[0]=x[0]+2; } [jonm at localhost jonm]$ R COMPILE test.c gcc

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

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

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 <-

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

Hi, I am trying to install "Rstrams" package, I have download the Rstreams_1.1-2.tar.gz in my computer and I tried the following 1. install.packages("Rstreams",lib=.lib.loc,"c:/R/package/Rstreams_1.1-2.tar.gz" ) I got 'lynx' is not recognized as an internal or external command, operable program or batch file. Error in httpclient(url,

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

>From dcd47a609f4489bb37ce33ea1ce975bb2b3ab160 Mon Sep 17 00:00:00 2001 From: Hongli Lai (Phusion) <hongli at phusion.nl> Date: Mon, 6 Jun 2011 13:36:57 +0200 Subject: [PATCH] Document the method for building the Unicorn gem. Signed-off-by: Hongli Lai (Phusion) <hongli at phusion.nl> --- HACKING | 11 +++++++++++ 1 files changed, 11 insertions(+), 0 deletions(-) diff --git

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).

Has anyone managed to get this working? Here's what I did: I got the binary build for R2.0.1 from the Omegahat download page, and made a small change to the registerClassID function ( to make it use the right path to RDCOMServer.dll). Then I tried to replicate the simple TTest example from the same web site. The COM class definition and registration worked fine for me. To test this, I

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

Dear list, i am a biologist who needs to do some ttest between disease and non disease, sex, genotype and the serum levels of proteins on a large number of individuals. i have been using excel for a long time but it is very tedious and time consuming. i am posting the data below and ask your help in generating a code to get this analysis done in R. thanks gender disease genotype data M N CC

Hello, I've a data frame with 15 colums and 6000 rows, and I need the data in a single vector of size 90000 for ttest. Is there such a conversion function in R, or would I have to write my own loop over the colums? thanks for your help + kind regards Arne

Greetings all, I am getting this error that is driving me nuts... (not a long trip, haha) I have a set of files and in these files I want to calculate ttests on rows 'compareA' and 'compareB' (these will change over time there I want a variable here). Also these files are in many different directories so I want a way filter out the junk... Anyway I don't believe that this is

Dear R user, I am trying to understand this following code. Basically it's using a permutation method to calculate p value. But I would like to know exactly how the permutation works. #calculates null statistics tt0 <- 0 set.seed(123) B <- 100 for(i in 1:B) { v <- sample(y) tt0 <- c(tt0,ttest(dat,v)$tt) } tt0 <- tt0[-1] #form p-values att <- abs(tt) att0 <- abs(tt0) v

Thanks to my provider, my old email alias (hongli@telekabel.nl) had been deleted. Now I can only use h.lai@chello.nl However, I'm subscribed to Vorbis's mailing lists using hongli@telekabel.nl Is there any way to change my subscription's address? <p><p>--- >8 ---- List archives: http://www.xiph.org/archives/ Ogg project homepage: http://www.xiph.org/ogg/ To unsubscribe