similar to: [LLVMdev] Sparc back end problem

Hi everyone, Following my earlier posting (http://lists.cs.uiuc.edu/pipermail/llvmdev/2010-November/036292.html), I sent another message to the list, but it seems like it didn't get through :-( I managed to fix the problem in my earlier post and compile a cross-llvm-gcc. Then I discovered I was having problems with a setting a variable based on a ?: condition. Anyway, I've

Hi Tim, Thanks for the patch. I had a few questions though - just to make sure that I get the problem correctly. Currently, here is your flow, as I understand it : x86 llvm-gcc binary llc -march=sparc gcc cross/sparc source ---------------------> .bc ------------------> .s -----------------> sparc executable. Is this correct? Or did you manage to build the

Hi, I was wondering if there's a way in R to open a web browser (such as Internet Explorer, or Firefox or whatever). I'm doing some analyses that have associated urls, and it would be nice to have the ability to directly open the relevant page from within R. I was looking at the help for 'url' and I can see I can probably access the information I need and display it in my

Hi, Is the following function built in somewhere? concat = function(v) { res = "" for (i in 1:length(v)) res = paste(res,v[i],sep="") res } e.g. > concat(c("12","3","45")) [1] "12345" Cheers, Andy -- Andy Fugard, Postgraduate Research Student Psychology (Room F3), The University of Edinburgh, 7 George

I'm trying something that I thought would be pretty simple, but it's proving quite frustrating... I want to display, for instance, the correlation coefficient "rho" in a graph. I can do something like: text(x, y, paste("rho =", cor)) where cor would be my previously calculated correlation coefficient, and x and y the coordinates. Obviously that displays

Dear All, I am working on a dataset having the dependent variable as ordinal data(discrete data) and multiple independent variables. I need to find the likelihood for the NULL model.i.e the model with only the dependent variable and all other independent variables as zero. Kindly let me know how to find the likelihood for a NULL model in R. Is there any specific function in R that can do

Hi, qemu-kvm-ev-2.6.0-28.el7.10.1 <https://cbs.centos.org/koji/buildinfo?buildID=17495> has been tagged for release and will soon be available on CentOS mirrors. This release addresses a security issue (CVE-2017-7718) which has a security impact rated important. See https://www.redhat.com/archives/rhsa-announce/2017-June/msg00014.html for more details on this update. Here's the

Hi, I have been using 'read.table' regularly to read tab-delimited text files with data. No problem, until now. Now I have a file that appeared to have read fine, and the data inside looks correct (structure etc), except I only had 15000+ rows out of the expected 24000. Using 'readLines' instead, and breaking up the data by tabs, gives me the expected result. I do not

The (2.2.1) upshid-ups driver reports battery.temperature rather than ups.temperature. Here's a quick patch to have it show up in the status page... --- clients/upsstats.c.DIST 2008-03-04 09:15:40.000000000 +0000 +++ clients/upsstats.c 2008-03-04 09:16:20.000000000 +0000 @@ -787,6 +787,11 @@ return 1; } + if (!strcmp(cmd, "BATTTEMP")) { +

Dear all, The background is that I'm trying to fix this bug in the geometry package: https://r-forge.r-project.org/tracker/index.php?func=detail&aid=1993&group_id=1149&atid=4552 Boiled down, the problem is that there exists at least one matrix X for which det(X) != 0 and for which solve(X) fails giving the error "system is computationally singular: reciprocal condition

Dear R cognoscenti, While having NA as a native type is nifty, it is annoying when making binary choices. Question: Is there anything bad about writing comparison functions that behavior like %in% (which I love) and ignore NAs? "%>%" <- function(table, x) { return(which(table > x)) } "%<%" <- function(table, x) { return(which(table < x)) } test <-

Hi there, Am I correct to believe that tetrachoric correlation is a special case of polychoric correlation when there are only two levels to the ordered factor? Thus it should be okay to use hetcor from the polycor package to build a matrix of correlations for binary variables? If this is true, how can one estimate 95% confidence intervals for the correlations? My guess would be mat =

Dear R Community, I am trying to create an heatmap for the following set of data: ##example of data matrix o4 V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 V13 V14 V15 V16 V17 V18 green 27 28 29 29 28 28 26 25 25 23 23 22 22 21 21 22 22 22 yellow 6 8 8 7 7 7 6 6 6 7 7 7 6 6 6 6 6 5 red 15 15 15 15 15 15 14 13 12 11 12 10 9 8 7 6 8 9 pink

On Fri, Jun 23, 2017 at 11:26 AM, Chris Cooke <cc at inf.ed.ac.uk> wrote: > qemu-kvm-ev-2.6.0-28.el7.10.1 > <https://cbs.centos.org/koji/buildinfo?buildID=17495> has been tagged for > release and will soon be available on CentOS mirrors. > > > Hi Sandro, > > Thanks. That looks like a typo in the package release field? Should be > 28.el7_3.10.1, rather than

Dear list, is there a way to open a .zip folder so that one can extract and modify files inside and then save teh .zip folder again? thanks! Jose -- Dr. Jose I. de las Heras Email: J.delasHeras at ed.ac.uk The Wellcome Trust Centre for Cell Biology Phone: +44 (0)131 6507095 Institute for Cell & Molecular Biology Fax: +44 (0)131 6507360 Swann Building,

Hi, Does anyone know an easy way of retaining rows in a model.matrix where missing values are present in the predictors. Ideally I'd be able to retain these rows as zeros. Thanks, Jarrod -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

Hello, I'm using geom_hline to add a minimum line to my plot (representing the best solution found so far by a search algorithm). I'd like to annotate this line with it's numerical value to save trying to read it off the graph, but I can't see a clear way to do this - any ideas? (Alternatively, if this is against the spirit of the grammar of graphics, is there a better

Does anyone know, or know documentation that describes, how to declare multiple values in R as missing that does not involve coding them as NA? I wish to be able to treate values as missing, while still retaining codes that describe the reason for the value being missing. Thanks John MAcInnes -- Professor John MacInnes Sociology, School of Social and Political Studies, No 8 Buccleuch Place

Dear all, I'm attempting to use a piecewise regression to model the trajectory of reproductive traits with age in a longitudinal data set using a mixed model framework. The aim is to find three slopes and two points- the slope from low performance in early age to a point of high performance in middle age, the slope (may be 0) of the plateau from the start of high performance to the

Dear all, I'm not 100% sure if this question is best directed at the r-list, or a mailing list concerned with Bayesian analysis, so please accept my apologies if another audience may be more appropriate. I have been using the rjags package to run Jags models with multiple chains and store the results in a Coda based mcmc list. For instance, having created a jags model and done initial