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Hi, I know this is not a problem comming from R, but maybe you can still help me. I installed R 1.4.1 on Debian Woody, but I can't start it. I get this message: ~$ R /usr/lib/R/bin/R.bin: error while loading shared libraries: libblas.so.2: cannot open shared object file: No such file or directory Any thoughts? S?bastien Plante

Hello, After spending sometime trying to generate histograms of all the numeric variables in a data frame using a for loop, I realized I could use apply to create the histograms. This was one of those few moments when I `see' the alternative to looping. So, I can generate all the histograms with this command: apply(toblo.df[,-c(40,52)],2,hist) # 40 and 52 are ID's When I do this, the

Hello, I am trying to install R0.99 on my PC running Solairis 7. Here is some text from my shell when I ran 'make check': running `primitive-funs.R' comparing `primitive-funs.Rout' to `./primitive-funs.Rout.save' ... OK running `mode-methods.R' comparing `mode-methods.Rout' to `./mode-methods.Rout.save' ... OK running `simple-true.R' comparing

Dear R users- Do the lattice/latticeExtra packages support multiple tileplots with unique colorkeys? I am trying to create a visualization of the encounter rate of certain stocks of salmon across two years. The issue I am having is that some stocks are encountered at much higher rates than others.the high encounter rate for one stock washes out the patterns I'm hoping to visualize across the

Hi I observed an interesting behavior of R. Can you find where is the bug, or it is not a bug but made deliberately. - Hide quoted text - > arr = c(); #defined the empty array > a= c("x1", "x2"); > b = c("y1", "y2"); > arr = rbind(arr,a); #row bind the first character array -a > arr =

Hi All, Just noticed a funny time jump on a testing CentOS 7 VM. Specifically the system time jumps around by a few hours during system boot. The below is a selection from /var/log/messages during boot: Jan 19 12:49:57 arr-data-dev chronyd[716]: Frequency -0.829 +/- 0.007 ppm read from /var/lib/chrony/drift Jan 19 12:49:57 arr-data-dev polkitd[720]: Started polkitd version 0.112 Jan 19

This is odd, and annoying. CentOS 6, current. Here's my awk script: { room = substr($0, 48, 10); arr[$2,room,$1] = $0; } END { for ( i in arr ) { for ( j in arr[i] ) { for ( k in arr[i][j] ) { print arr[i][j][k]; } } } } And when I run it, it complains awk -f awksort proplist7 awk: awksort:7: for ( j in arr[i] ) { awk: awksort:7:

> On Jun 8, 2018, at 11:52 AM, Hadley Wickham <h.wickham at gmail.com> wrote: > > On Fri, Jun 8, 2018 at 11:38 AM, Berry, Charles <ccberry at ucsd.edu> wrote: >> >> >>> On Jun 8, 2018, at 10:37 AM, Herv? Pag?s <hpages at fredhutch.org> wrote: >>> >>> Also the TRUEs cause problems if some dimensions are 0: >>>

The arr.ind in the which function does the job very nicely!!! Thank you everyone for the suggestions! Ana > > >---- Mensaje Original ---- >De: marc_schwartz at comcast.net >Para: m_olshansky at yahoo.com >Asunto: Re: [BioC] [R] function to find coodinates in an array >Fecha: Thu, 16 Aug 2007 21:53:44 -0500 > >>If I am correctly understanding the problem, I think

Pete - Thanks for the hack, I've gone in an adjusted the necessary lines(Even though my C is REALLY rusty, cut and paste to the rescue), I re-compiled the source, so hopefully things will work once I get home to test. You mentioned that I shouldnt use this for a Public Production server, is there any other security measures I can take to override this exploit? I had planned on running it

Hi All, Looks like I'm getting a startup on a new relay server .. crash with the following Works flawlessly as a standalone server (not a realy) fc3 <RPM's> libxml2-2.6.16-3 libxslt-1.1.11-1 curl-7.12.3-6.fc3 vorbis-tools-1.0.1-4 <Source Tarballs/svn> Icecast-2.3.1 (svn, daily and tarball) libshout-2.2.2 (source) <from command line> icecast -c

Hi all - I am far from fluent in R and need some help polishing up a figure I am trying to create. I wish to make a "tileplot" (from package extraLattice) where the x axis is time (months; may - sept) and the y axis is space (fishery management zones). Here is my code so far: tileplot(effort~month_num*-area_num,mae,col.regions=topo.colors(100), border =

Dear all, I have a problem with interactions in lmer. I have 2 factors (garden and gebiet) which interact, plus one other variable (home), dataframe arr. When I put: / lmer (biomass ~ home + garden:gebiet + ( 1|Block), data = arr)/ it writes: /Error in lme4::lFormula(formula = biomass ~ home + garden:gebiet + (1 | : rank of X = 28 < ncol(X) = 30/ In the lmer help I found out that if not

Dear expeRts, How can I get ... (1) different y-axis scales for each row (2) while having the same y-axis scales for different columns? I coulnd't manage to do this with relation="free" [which gives (1) but not (2)]. I also tried relation="sliced", but it did not give the same y-axis scales within each row (see the fourth row). Further, it "separates" the

I just have two questions regarding the following small piece of code: if (var > start*end) { arr[var] = arr[var-1]; } else { arr[var] = arr[var+1]; } 1. Why does llvm put the address computation in the branched blocks instead of the common dominator? 2. Why does the AliasAnalysis return MayAlias instead of MustAlias? Thanks. -------------- next part

Hi, With the following codes, I attempt to convert the data.frame into a matrix. However I notice that data.matrix function doesn't seem to work. __ BEGIN__ dat <- read.table("mydata", comment.char = "!" , na.strings = "null"); # Select n-genes by random sample # n = 1 nosamp <- 1 geneid <- sequence(nrow(dat)) geneid.samp <- sample(geneid,nosamp)

Hi everybody, I see a missed optimization opportunity in LLVM that GCC catches and I'd love to hear community's input. Here's the original C code: 1 char arr[2]; 2 char *get(unsigned ind) { 3 if (ind >= 1) { 4 return 0; 5 } 6 return &(arr[ind]); 7 } The variable `ind` is unsigned so, based on the comparison, if it is not greater or equals to one, than it is

Hello, LLVM Devs. I'm compiling following code using my own backend: int foo() { char arr[4]; arr[0] = 0xAA; arr[1] = 0xBB; arr[2] = 0xCC; arr[3] = 0xDD; return *(int*)&arr[0]; } The memory operation in "return" statement ends up transformed into 4-byte load in the initial DAG: load<(dereferenceable load 4 from %ir.7, align 1, addrspace 1)> t31,

class Array # break an array up into <size> chunks def chunk(size=1) return self if self.empty? raise ArgumentError if !size.kind_of? Integer y = self.length.divmod(size) rows = (y[1] > 0) ? y[0] + 1 : y[0] arr = Array.new(rows) (0...rows).each do |i| arr[i] = self.slice(size*i, size) end (arr.last.length...size).each { |i| arr.last[i] = nil }

If m.num is too large then the "m.num * sizeof(*m.arr)" multiplication could overflow and the access_ok() check wouldn't test the right size. Signed-off-by: Dan Carpenter <dan.carpenter at oracle.com> --- Only needed in linux-next. diff --git a/drivers/xen/privcmd.c b/drivers/xen/privcmd.c index 215a3c0..fdff8f9 100644 --- a/drivers/xen/privcmd.c +++ b/drivers/xen/privcmd.c