similar to: for/if loop

Hi All, I've been having a little trouble with creating a loop that will run a a series of t.tests for inspection, Below is the code i've tried, and some checks i've looked at. I've used the get(paste()) idea as i was told previously that the use of the eval should try and be avoided. I've run a single syntax to check that my systax is correct and works without any problems

Hi all, I found a discrepancy between the sum() in R and either a sum done in C or Fortran for vector of just 5 elements. The difference is very small, but this is a very small part of a much larger numerical problem in which first and second derivatives are computed numerically. This is part of a numerical method course I am teaching in which I want to compare speeds of R versus Fortran (We

My simple functions were to compare the result with the gfortran compiler sum() function. I thought that the Fortran sum could not be less precise than R. I was wrong. I am impressed. The R sum does in fact match the result if we use the Kahan algorithm. P. I am glad to see that R sum() is more accurate than the gfortran compiler sum. On 16/03/18 11:37 AM, luke-tierney at uiowa.edu wrote:

Hi Daniele and Arnaud, While tracking down the Cyber Power voltage scaling issue, I found the DDL repository extremely helpful. Instead of searching across all of the old mailing list posts, I was able to run 'git grep' in the Cyber Power directory, and the consistency of the data made it an easy task. I had a motherboard failure on my main computer, and I was trying to recreate the

Hi, I need to calculate Kendall's tau for large data vectors (length > 100'000). Is somebody aware of a faster algorithm or package function than "cor(, method="kendall")"? There are ties in the data to be considered (Kendall's tau-b). Any suggestions? Regards Ferdinand

I am interested in using LLVM to translate C and C++ into high-level language code. (As an update to an earlier project of mine, Clue, which used the Sparse compiler library to do this: it targets Lua, Javascript, Perl 5, C, Java and Common Lisp, with a disturbing amount of success. See http://cluecc.sourceforge.net for details.) The obvious place to start on this is the C backend, except in

> Is this the current layout? > > nut-website (branch: dll-hll) > \__ nut submodule (branch: master) > \__ ddl submodule (branch unknown?) nut-website (branch: dll-hll) \__ nut submodule (branch: master @ abc0006 [not updated to avoid conflicts when merging back to master]) \__ ddl submodule (branch: master @ bbfd79f; now updated to ab6166c) > The "ddl" branch

On Jan 24, 2011, at 2:01 PM, David Given wrote: > I am interested in using LLVM to translate C and C++ into high-level > language code. (As an update to an earlier project of mine, Clue, which > used the Sparse compiler library to do this: it targets Lua, Javascript, > Perl 5, C, Java and Common Lisp, with a disturbing amount of success. > See http://cluecc.sourceforge.net for

Hello I am using sem to look at the direct effect of one variable on another but i am uncertain if i am progressing correctly. An example: covar1<-? matrix(c(0.4,-0.2,3,-0.2 , 0.3,-2 , 3 ,-2 , 60), nrow=3,byrow=T) rownames(covar1)<-colnames(covar1)<-c("endo","exo","med") path1<-matrix(c(? ? "exo -> endo",? "g1", NA,

David Given <dg at cowlark.com> writes: > The obvious place to start on this is the C backend, except in these 2.8 > days the C backend is so hedged about with caveats I'm rather wary of > basing anything on it. I also recall seeing comments here that it's due > for a rewrite from scratch, and that various people were looking into > it. Can anyone go into more detail

Thank you for reminding me the notion of the basic block. Of course, I know all the assembly takes the form of BBs and is divided into units of BB. OK. It looks better for me to explain what I wanted to do more clear from the first. Actually, I am working on emitting out an assembly of VM by using LLVM. LLVM assembly looks similar with this VM assembly except BB. The VM assembly does not have the

Are overflow behavior tags meant to enable the specification of a particular instruction's required or presumed overflow behavior? If a required overflow behavior, then it follows that the target must correspondingly implement the behavior; neither natively or emulated? If a presumed overflow behavior, is the target meant to preferably implement or emulate the same; or is it merely meant to

Install the gmp package, run your code, and then try this: bu <- gmp::as.bigq(u) bs4 <- bu[1] + bu[2] + bu[3] + bu[4] + bu[5] s4 <- as.double(bs4) s1 - s4 ## [1] 0 s2[[2]] - s4 ## [1] 7.105427e-15 s3 - s4 ## [1] 7.105427e-15 identical(s1, s4) ## [1] TRUE `bs4` is the exact sum of the binary rationals in your `u` vector; `s4` is the closest double precision to this exact sum.

Hi Evan > > It looks > > like that the instruction selector operates on actual DAGs, no > > unDAGing to > > trees seems to occur at any point. > Instruction scheduler is responsible for turning a DAG into a list of > instructions. So unDAGing is applied by the instruction scheduler. At which points in the compilation flow is the instruction scheduler run (i'm

I want to gain thousands of random sampling data by randomizing the presence-absence data. Meantime, one important limition is that the row and column sums must be fixed. For example, the data "tst" is following: site1 site2 site3 site4 site5 site6 site7 site8 1 0 0 0 1 1 0 0 0 1 1 1 0 1 0 1 1 0 0 0 1 0 1 0 0 0 0 1 0 1 0 1 1 0 1 0 0 0 0 0 0 1 0 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 1 0 1 0

Hi, I am brand new to R and not familiar with the language, though I have been reading the manuals and making some slow going progress. I am working with some source code from a Global Vector Auto -Regressive program written by Ranier Puhr from the R-forge group. I need help interpreting the processes of the following code. I am going to post in parts since it's pretty long: GVAR

In iteration D.1 on page 109 I am not getting a styled error message box displayed at the top of the checkout as described in the tutorial and I cannot seem to discover where I have erred. The scaffold.css is copied from the pragmatic programmers site: #-------------------------------------------------------------------- $ cat public/stylesheets/scaffold.css body { background-color: #fff;

Hi Developers, I am looking for another new project to help me get more up to speed on R and to learn something outside of R internals. One recent R issue I have run into is finding a fast implementations of the equivalent to the following SAS code: /* MDPC is an integer sort key made from two integer columns */ MDPC = (MD * 100000) + PCO; /* sort the dataset by the key */ PROC SORT;

dear: when I read a Excel file(exp-11),The R project give me a error ,Just like this: ??'datafile' > write.foreign("exp-11.xls") ???list(df = df, datafile = datafile, codefile = codefile) : ??'datafile' > write.foreign("exp-11.xls") ???list(df = df, datafile = datafile, codefile = codefile) : ??'datafile' >