similar to: How to create arbitrary number of loops in R

Dear R users, I'm wondering how I can generate an arbitrary number of loops in R. For instance, I can generate two "for" loops to get ICC among any two-way combination among 10 variables. Here is the code n<-10 for (i in 1:(n-1)) { for (j in (i+1):n) { icc(cbind(DATA[,i],DATA[,j])) } } If I need three-way combination, then a code with three "for" loops will be:

Dear R users, I have a microRNA (similar to microarray) data set with gene expressions and group variables. I'd like to perform (class) prediction analysis to see which genes or gene sets predict the group variable well. I'm at the beginner level. Is there any free software in R or in point/click format that is commonly used and highly recommended? I googled this topic and found

I have 2 DCs running 4.1.12 that have stopped replicating and are producing these error messages: from dc1: Failed to commit objects: WERR_GENERAL_FAILURE/NT_STATUS_INVALID_NETWORK_RESPONSE [2014/09/23 10:43:35.530000, 0] ../source4/rpc_server/drsuapi/getncchanges.c:1646(dcesrv_drsuapi_DsGetNCChanges) ../source4/rpc_server/drsuapi/getncchanges.c:1646: DsGetNCChanges 2nd replication on

Dear R users, When I run the code below, I get the error "Error in integrate(integrand, 0, Inf) : non-finite function value". The code works if the function returns only "sum(integ)". However, I want to add "cmh" to it. When I add "cmh" I get that error. I can't figure out why this is happening because my integrate function has nothing to do with

In SAS, for a two-way (or 3-way, stratified) table, the CMH option in SAS PROC FREQ gives 3 tests that take ordinality of the factors into account, for both variables, just the column variable or neither. Is there an equivalent in R? The mantelhaen.test in stats gives something quite different (a test of conditional independence for *nominal* factors in a 3-way table). e.g. I'd like to

I know that this maybe a trivial question. I am not able to plot pedices in graph axes. Instead I am able to plot different math symbols : XLABEL <- expression(paste(cmH,lim(f(x), x %->% 0),"O PEEP")) works well XLABEL <- expression(paste(cmH,[2],"O PEEP")) is considered a wrong expression. Thanks

Hello, I've tried to analyze some data with a CMH test. My 3 dimensional contingency tables are 2x2xN where N is usually between 10 and 100. The problem is that there may be 2 strata with opposite counts (the 2x2 contigency table for these are reversed), producing opposite odds ratios that cancle out in the overall statistics. These opposite counts are very important for my analysis, since

Well, I've "fixed" two problems so far with getting things built on OS X. If whoever did the OS X work is reading this, feel free to tell me where/how I've screwed up =) The first problem is that it couldn't find MacTypes.h in the path. MacTypes.h is simply a one line file that includes <CoreServices/CoreServices.h>, so I just replaced the MacTypes.h with that. In

Just a general question concerning the woolf test (package vcd), when we have stratified data (2x2 tables) and when the p.value of the woolf-test is below 0.05 then we assume that there is a heterogeneity and a common odds ratio cannot be computed? Does this mean that we have to try to add more stratification variables (stratify more) to make the woolf-test p.value insignificant? Also in the

Hi there, is there any way to compare 2 odds ratios? I have two tests that are supposed to detect a disease presence. So for each test, I can compute an odds ratio. My problem is how can I compare the 2 tests by testing whether the 2 odds ratios are the same? Appreciate

Dear all, I am trying to look for a built in function that performs the cochran Q test. that is, cochranq.test(X) where X is a contingency table (maybe a matrix or data.frame). The output will naturally be the test statisitcs, p-value, etc. A quick search on Google gives me the cochran.test in the 'outlier' package, but I had a look at the description of the test and it doesn't look

Hi everybody, I was just wondering if there is a DRM (Digital Right Management) solution to use with ogg vorbis. Any information welcomed. Thanx Chris <p>--- >8 ---- List archives: http://www.xiph.org/archives/ Ogg project homepage: http://www.xiph.org/ogg/ To unsubscribe from this list, send a message to 'vorbis-dev-request@xiph.org' containing only the word

Hi everybody, I was just wondering if there is a DRM (Digital Right Management) solution to use with ogg vorbis. Any information welcomed. Thanx Chris <p>--- >8 ---- List archives: http://www.xiph.org/archives/ Ogg project homepage: http://www.xiph.org/ogg/ To unsubscribe from this list, send a message to 'vorbis-dev-request@xiph.org' containing only the word

Hi All, I have conducted a meta analysis using the metabin function. I want to plot 5 subgroups on the same forest plot. I have managed to do this using the byvar argument but when i plot the forest plot in R graphics I am unable to view the very top and very bottom of the image. It is as though the plot is too long. Is there a way in which I can ask R to show the entire plot within the

Hi all, Does anyone know if an R function for the Mantel-Haenszel chi-square for a 2x2 table exists? I’ve also seen it called the randomization Q statistic. Note that I’m not looking for the Cochran-Mantel-Haenszel…I did see that out there as cmh.test. Thanks in advance, Jeff Internal Virus Database is out-of-date. Checked by AVG Free Edition. 11:27 AM [[alternative HTML version

I finally got around to committing Chris Hanson's MacOS9 patches. Just though you should know. Monty --- >8 ---- List archives: http://www.xiph.org/archives/ Ogg project homepage: http://www.xiph.org/ogg/

I'd like to announce the availablity of the Ogg Vorbis QuickTime component for MacOS 9. It only exports at the moment, import and decompressing is next. http://homepage.mac.com/snicolai Email me with comments, log the bugs/feature requests at http://bugs.xiph.org/ Steve Nicolai --- >8 ---- List archives: http://www.xiph.org/archives/ Ogg project homepage: http://www.xiph.org/ogg/ To

Does anyone know which package include the computation of Cochran’s Q statistic in R? jlfmssm [[alternative HTML version deleted]]

I have been working on fitting Cox model for prediction by using rms package. I want to measure model's calibartion and discrimination. Discrimination was measured by using validate() in rms, Dxy can be transferred to Harrell's c index. But in this way, I cannot get 95%CI of c index. How can I do this in R? And by the way, what value should be in c index to present the model's well?

Here's what we need for a BIG popularity boost: Good interfaces! Yeah yeah, i know, i'll be bitched at on how I should do it on my own, but one thing that always ticked me about MP3 - the lack of tools that do the job without the mess. What we need now is - an ID tag editor. Menu-driven, that means CLI or GUI. We need that, badly. Encoder - GUIs for X and MS Windows. Right now, encoding