similar to: Help me with writing function sort()

I am using R 1.1 with Redhat 6.2 and RW 1.001 with Win98 (the upkey doesn't work on my IBM either as has been previously reported by others). The function aov doesn't return either the residuals or the residual degrees of freedom for split-plot designs. If you use the following code from Baron and Li's "Notes on the use of R for psycology experiments and questionnaires"

Dear R-experts! In a meta-analysis (metafor) I would like to assess the effect of two categorical covariates (A & B) whereas they both have 4 levels. Is my understanding correct that this would require to dummy-code (0,1) each level of each covariate (A & B)? However I am interested in the main-effects and the interaction of these two covariates and the dummy-coding would only allow to

On 04/10/2016 03:27 PM, Fabien Tarrade wrote: > Hi Duncan, >> Didn't you post the same question yesterday? Perhaps nobody answered >> because your question is unanswerable. > sorry, I got a email that my message was waiting for approval and when I > look at the forum I didn't see my message and this is why I sent it > again and this time I did check that the

Hi Duncan, > Didn't you post the same question yesterday? Perhaps nobody answered > because your question is unanswerable. sorry, I got a email that my message was waiting for approval and when I look at the forum I didn't see my message and this is why I sent it again and this time I did check that the format of my message was text only. Sorry for the noise. > You need to

Hi, it seems to me as if all vorbis-files only contain floors of type 1 and residues of type 2. Is it possible to "force" the encoder to somehow create a vorbis-file with the other floor and residue types? Tor <p><p><p>=================================================================== EASY and FREE access to your email anywhere: http://Mailreader.com/

Hi, Try: x<- 1:4 ?y<- c("*","/","-","+") res<-sapply(y,function(i) {x1<-expand.grid(x,x); unlist(lapply(paste0(x1[,1],i,x1[,2]),function(u) eval(parse(text=u))))}) row.names(res)<- as.character(interaction(expand.grid(x,x),sep="_")) head(res) #??? *?? /? - + #1_1 1 1.0? 0 2 #2_1 2 2.0? 1 3 #3_1 3 3.0? 2 4 #4_1 4 4.0? 3 5 #1_2 2 0.5

Hi R helpers! I have a question. I'm trying to create a function for an exercise. Here are the arguments I should include: x and y are numeric z is a name ("plus","minus","multiply","divide") and swap is logical. Here is what the function should do: When z="plus", then x+y is performed and so on for the other z names. It should give a NA

Dear R forum I have a data.frame as cashflow_df = data.frame(instrument = c("ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC", "ABC", "PQR", "PQR",

I've just upgraded my rsync server to 2.5.1 (before, I was using 2.4.6), without changing anything in /etc/rsyncd.conf, and now, I have this logs each time a client connect to server: 2002/01/07 18:33:03 [10432] rsync: reverse name lookup mismatch on fd3 - spoofed address? 2002/01/07 18:33:03 [10432] rsync on admin/sbin/padmin_update.sh from UNKNOWN (172.16.65.14) 2002/01/07 18:33:03 [10432]

Hi LLVM devs, The performance of C++ std::sort comes from being able to inline the comparator. For a JIT generated data type, using the comparator as a function call from std::sort may not be ideal. So, i was wondering how can we make a JIT-sort which is as good as statically compiled std::sort with comparator inlined. What is the recommended way to pass a an existing function like std::sort into

Dear all, install.packages("lme4") fails with error Error in read.dcf(file = tmpf) : cannot open the connection In addition: Warning message: In read.dcf(file = tmpf) : cannot open compressed file '//servername/repository_path/bin/windows/contrib/3.2/PACKAGES', probable reason 'No such file or directory' the repositories set in .Rprofile are

Thanks David! I understand that std::sort doesn't exist without types especially at bytecode layer. What I was thinking was something like the following: Compile std::sort with a thunk function Compare(void*, void*) {rerturn false} into bytecode with an option say noinline and always make the function call or even a simple unoptimized bytecode which guarantees that Compare exists as a

Dear all: Plan 1: I want to do serval t-test means for different variables in a loop , so I want to add all results to an object then dump() them to an text. But I don't know how to append T-test result to the object? I have already plot the barplot and I want to know an elegant way to report raw result. Can anybody give me some pieces of advice? Yao He ????????????????????????? Master

Or with the Bioconductor IRanges package: df <- with(input, DataFrame(station, year=IRanges(from, to), record)) expand(df, "year") DataFrame with 24 rows and 3 columns station year record <character> <integer> <character> 1 07EA001 1960 QMS 2 07EA001 1961 QMC 3 07EA001 1962 QMC 4

I had to apply the following patch to the clientname.c check_name() function before I could successfully use "hosts allow" in rsyncd.conf. Without the patch I kept getting "rsync: forward name lookup for ... failed: Host not found" errors. These errors were produced by the rsync daemon, and putting in a debugging statement revealed that the port_buf being used had a large

Go monty! jack. ----- To: cvs@xiph.org Subject: [xiph-cvs] cvs commit: vorbis/vq huffbuild.c latticetune.c make_residue_books.pl Date: Sun, 3 Jun 2001 22:50:13 -0700 (PDT) From: xiphmont@xiph.org (Monty) Precedence: bulk Reply-To: cvs@xiph.org xiphmont 01/06/03 22:50:12 Modified: lib codebook.c codebook.h floor0.c mapping0.c os.h res0.c vq

Hi there, I have some data which are convenient to enter as lists. For example: t1<-list(fname="animal1",testname="hyla",dspkr="left",res1=39.7,res2=15.0) t2<-list(fname="animal1",testname="bufo",dspkr="left",res1=14.4,res2=56.1)

Any suggestions for how to interpret DSCallGraph's output for the following? I'm trying to use DSCallGraph to get a conservative estimate of a whole-program SCC call graph. I wanted to see how it handles real call-graph cycles involving functions both internal and external to the module. So I made a test program with the following actual call graph, using the standard library's

On 11/29/2017 04:15 PM, T?th D?nes wrote: > Hi, > > A benchmarking study with an additional (data.table-based) solution. I don't think speed is the right benchmark (I do agree that correctness is!). For the R-help list, maybe something about least specialized R knowledge required would be appropriate? I'd say there were some 'hard' solutions -- Michael (deep

Hi, Suppose, if I create 15 files in my working directory. set.seed(48) lapply(1:15,function(i) {m1 <- matrix(sample(1:20,1686*2,replace=TRUE),nrow=1686,ncol=2); write.table(m1,paste0("file_",i,".txt"),row.names=FALSE,quote=FALSE)}) ?D <-dir() D1 <- D[order(as.numeric(gsub("\\D+","",D)))] D1 ?res <- t(sapply(D1,function(x) {x1<-