similar to: Nested ifelse - is there a better way?

?"=", ?"==", ?"!=", ?">=", and ?"<=" sends me to the documentation for ?help on Windows, while returning the correct documentation on Linux. Robert > version _ platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 2 minor

Hello, I use Gentoo and I can't get R 2.0.1 to compile. I used the portage system, Gentoo's source package sytem, and after it uncompresses the source to R, it says that I don't have a fortran compiler. It told me to use f77 flag and re-emerge gcc, which I did with the f77 and fortran flags, but it still won't compile. Does anyone have any ideas? I suspect that gcc has changed

I have compiled R 2.0.0 for my gentoo desktop and have found this problem: help.start() will work correcly if mozilla is already started, will fail if mozilla is not. Error message: > help.start() Making links in per-session dir ... If /usr/bin/mozilla is already running, it is *not* restarted, and you must switch to its window. Otherwise, be patient ... > No running windows found

Hello I have a data set that looks like this; > b2 dato chr status PRRSvac PRRSsanVac PRRSsanDk PRRSdk 33 2007-12-03 090432 R?d SPF 34 2007-02-09 090432 R?d SPF+sanDK 35 2002-12-17 090432 R?d SPF+DK 36 2002-11-27 090432 R?d SPF+sanDK 37 2002-07-23

I've been having problems with gcc-3.1 and R-devel on one of our Solaris 7 systems (not the one I usually use). We have seen a report of this before (Chuck Berry, 17 July 2002). The symptom is that make check fails with var(1) being NaN not NA. The underlying cause is that as.double(NA) is NaN. It can be solved by compiling arithmetic.c without -O2. Another installation with a

The trailing backslash seems to be the culprit. After looking at rw1020\bin\INSTALL, I noticed $pkg =~ s/\/$//; which I assume is to strip the trailing slash from a package name before obtaining the package name and cleaning out its directory I added $pkg =~ s/\\$//; immediately after this line. Rerunning Rcmd INSTALL C:\rw1011\src\library\bqtl\ with that change seemed to work OK

Dear R users, There is a error message when I run the following code. It is used to load microarray data and use the top 1000 genes for training svm to classify test set . > library(e1071) Loading required package: class > f=read.table("F:\\lab\\ microarray analysis\\VEH LPS\\exprs.txt",

Dear community I am using ggraph to plot a network analysis. See part 2 in the working example. Besides different colors for different groups of nodes: --> geom_node_point(aes(size = V(network)$hub_score*200, color= as.factor(V(network)$community))) I additionally want to consider different colors for different edge groups The grouping is defined in the edge_list$relationship: negative

Hi all (really probably just Deepayan): In the plot below I want to add text on either side of each violin plot that indicates the number of observations that are either positive or negative. I'm trying to do this with ltext() and I've also monkeyed about with panel.text(). The code below is generally what I want but my calls to ltext() are wrong and I'm not sure how to fix them.

Hello, are there any good methods in R that will test if two correlation matrices (obtained in different ways) are equal? Something better than the Mantel test would be preferable. Regards, Patrik Waldmann -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info",

Dear community Find enclosed the full working example. Many thanks Sibylle Test_cat.csv Names Subcategory_type sources.cyto source Factor A.A material "A" A 1 B.B material "B" B 1 C.C regulation "C" C 1 D.D regulation "D" D 1 E.E habitat "E" E 1 F.F cultural "F" F 1 Test_adjac.csv

Hi, this seems to work (assuming that your problem was the setting of colours...): --- snip --- network %>% ggraph(., layout = "auto") + # This produces an error... # geom_edge_arc(curvature=0.3, aes(width=(E(network)$weight/10), color=c("darkblue", "red")[as.factor(edge_list$relationship)], alpha=0.5)) + # ... this works :-)

Hi guys, I'm a new to R and following along with Tutorials using this book: http://www.amazon.com/Practical-Statistical-Analysis-Non-structured-Applications/dp/012386979X In one of them, they use the twitteR package and describe the following function (see below). From what I can tell from the documentation (R), there's a method to call it directly in an interactive session. The way

hello, I am using following command classify_polarity(documents,algorithm="bayes",verbose=TRUE) output is: [1] "DOCUMENT 1" [1] "WORD: excited CAT: positive POL: strongsubj SCORE: 8.44419229853175" [1] "WORD: happy CAT: positive POL: strongsubj SCORE: 8.44419229853175" [1] "WORD: optimistic CAT: positive POL: weaksubj SCORE: 7.7510451179718" [1]

Dear Sibylle, your example is not working! E.g. no data for "aes_collapsed". Best, Kimmo ke, 2024-03-20 kello 19:28 +0100, SIBYLLE ST?CKLI via R-help kirjoitti: > Dear community > > I am using ggraph to plot a network analysis. See part 2 in the working > example. > Besides different colors for different groups of nodes: > --> geom_node_point(aes(size =

No, I’m wrong. I think that bug is actually in ‘hasFlag’ itself. In ‘llvm/lib/Option/ArgList.cpp’ line #70: bool ArgList::hasFlag(OptSpecifier Pos, OptSpecifier PosAlias, OptSpecifier Neg, bool Default) const { if (Arg *A = getLastArg(Pos, PosAlias, Neg)) return A->getOption().matches(Pos) || A->getOption().matches(PosAlias); return

My small brain is having trouble getting to grips with lme() I wonder if anyone can help me correctly set the random = argument to lme() for this kind of setup with (I think) 9 variance/covariance components ... Study.1 Study.2 ... Study.10 Treatment.A: subject: 1 2 3 4 5 6 etc. 28 29 30 Treatment.B: subject: 31

Please ignore this thread - I got myself confused, the code is fine - too many long days and nights staring at code. There is an issue, but it is different to what I thought. My command line is not: clang -S -O3 -fno-vectorize -fno-slp-vectorize foo.c but: clang -S -fno-vectorize -fno-slp-vectorize -O3 foo.c The difference was subtly hidden in a much longer argument list

Hi, all. Last week I posted some code for extracting subtrees of trees in hclust format. Petra Steiner quickly found an example for which the code breaks, and sent it to me. The problem seems to be that I had not considered the possibility of trees with unlabeled nodes. In the new version of f.make.subtree (below), I steal some code from plot.hclust to assign labels if there are none. That

Dear all, ## I have 4 tables like this: satu <- array(c(5,15,20,68,29,54,84,119), dim=c(2,4), dimnames=list(c("Negative", "Positive"), c("Black", "Brown", "Red", "Blond"))) dua <- array(c(50,105,30,8,29,25,84,9), dim=c(2,4), dimnames=list(c("Negative", "Positive"),