similar to: persp function question

Hello all, I have two questions about anova (one is probably VERY basic...) 1 - when one asks for a summary of a trend surface created with surf.ls, he/she gets: > summary(g3r) Analysis of Variance Table Model: surf.ls(np = 3, x = gradiente$east, y = gradiente$north, z = gradiente$num1) Sum Sq Df Mean Sq F value Pr(>F) Regression 215.7182 9 23.968693976

Hi all, While tinkering with saturation instructions, I hit problems with the cost model calculations. The loop vectorizer cost model accumulates the individual TTI cost model of each instruction. For saturating arithmetic, this is a gross overestimate, since you have 2 sexts (inputs), 2 icmps + 2 selects (for the saturation), and a truncate (output); these all fold alway. With an intrinsic,

Hello, I have some C code (for a shared lib called via .External) that uses PROTECT(w= allocMatrix(REALSXP, m, n)); mostly successfully. In rare cases, though, the row count m will be an overestimate. Is there a way to reallocate the matrix in-place, something like reAllocMatrix (w,m-excess,n) /* where excess is > 0 */ to chop off the last excess rows of w? I only find out about the

If you're on a recent flavor of Linux, you may be able to just go into gdb and type "disas <pointer-to-JITed-code>". More detail here: http://llvm.org/docs/DebuggingJITedCode.html If you still want to do it programmatically, I think you might be stuck. IIRC the length known by the JIT memory allocator is an overestimate (it's rounded up for alignment), so the

I have a small model running under R. This is basically running various power-law relations on a variable (in this case water level in a river) changing spatially and through time. I'd like to include some kind of error propagation to this. My first intention was to use a kind of monte carlo routine and run the model many times by changing the power law parameters. These power laws were

Hi R-helpers, Does anyone know why adding which() makes the select call more efficient than just using logical selection in a dataframe? Doesn't which() technically add another conversion/function call on top of the logical selection? Here is a reproducible example with a slight difference in timing. # Surrogate data - the timing here isn't interesting urltext <-

Hi folks, Warning: I don't know if the result I am getting makes sense, so this may be a statistics question. The fitted values from my binomial lmer mixed model seem to consistently overestimate the cell means, and I don't know why. I assume I am doing something stupid. Below I include code, and a binary image of the data is available at this link:

What should we use instead of DenseMap? —escha > On Mar 15, 2016, at 3:30 PM, Xinliang David Li <xinliangli at gmail.com> wrote: > > yes it makes sense. Avoid using DenseMap when the size of the map is expected to be large but can not be pre-determined. > > David > > On Tue, Mar 15, 2016 at 3:07 PM, via llvm-dev <llvm-dev at lists.llvm.org <mailto:llvm-dev at

Thanks Reid - I'm on Windows. I guess I just assumed I was missing something obvious in how to hook up the JIT and disassembler! Given the nice looking disassembly code I found, I thought people would be doing it all the time :-) b. On Tue, Jul 6, 2010 at 8:41 PM, Reid Kleckner <reid.kleckner at gmail.com> wrote: > If you're on a recent flavor of Linux, you may be able to just

On Fri, Mar 24, 2023 at 10:37:41AM +0000, Eric Wong wrote: > Realizing I had documents of hugely varying sizes (0.5KB..20MB) > and little RAM, I instead tracked the number of raw bytes in the > text being indexed and flushed whenever I'd seen a configurable > byte count. Not the most scientific way, but it seems to work > well enough on low-end systems. > > Now, I'm

On Wed, May 03, 2023 at 12:38:15PM +0000, Eric Wong wrote: > Olly Betts <olly at survex.com> wrote: > > This will also effectively ignore boolean terms, assuming you're giving > > them wdf of 0 (because $3 here is the collection frequency, which is > > sum(wdf(term)) over all documents). > > Should boolean terms be ignored when estimating flushing >

Dear Forum, Which functions and packages should be installed to make work the function "relevel"? treatment<-revel(treatment,ref="Db") Error: no se pudo encontrar la funci?n "revel" Thank you very much for your help, Xavier Chiriboga M. PhD Candidate Fundamental and Applied Research in Chemical Ecology Lab. Institute of Biology University of Neuchatel

I am forwarding your request to the FLAC development mailing list. ----- Forwarded message from Jamie Heilman <jamie@audible.transient.net> ----- Date: Sun, 8 Sep 2002 16:13:32 -0700 From: Jamie Heilman <jamie@audible.transient.net> Resent-From: Jamie Heilman <jamie@audible.transient.net> To: submit@bugs.debian.org Subject: Bug#160155: gapless playback Package: xmms-flac

Hi, Does anyone of you knows a reference for the formula used in power.t.test function? And also why it uses the Student's distribution instead of Normal. (I know both of them can be used but don't see whether choose one or the other) Thank you. Regards [[alternative HTML version deleted]]

Hi Bill, I'm coincidently planning right now on doing exactly the same things as you. I haven't yet had a chance to implement the code, but I can point you to how I currently believe you can get access to what you need. If you take a look at the code for the implementation of lvm::JIT::runJITOnFunction(Function *, MachineCodeInfo *), you'll see that if a MachineCodeInfo parameter is

There’s a few passes in LLVM that make heavy use of a big DenseMap, one that potentially gets filled with up to 1 entry for each instruction in the function. EarlyCSE is the best example, but Reassociate and MachineCSE have this to some degree as well (there might be others?). To put it simply: at least in my profile, EarlyCSE spends ~1/5 of its time growing DenseMaps. This is kind of… bad.

> On Mar 15, 2016, at 4:09 PM, Philip Reames <listmail at philipreames.com> wrote: > > > > On 03/15/2016 03:07 PM, via llvm-dev wrote: >> There’s a few passes in LLVM that make heavy use of a big DenseMap, one that potentially gets filled with up to 1 entry for each instruction in the function. EarlyCSE is the best example, but Reassociate and MachineCSE have this to

v4: - Same as v3, but depends on and uses new --machine-readable work. Rich.

v6: - Make the text output a bit nicer. - Changes as suggested to Measure_disk module temp file & json parsing. - Use jq to test JSON output. - Retest.

Hi all, I use "write.csv" and "write.table" to write a data frame in a file like following: write.csv2(allRandomTestCase_XDroped, "allRandomTestCase.csv") But in the created file "allRandomTestCase.csv" an additional column with consecutive numbers is automatically added to the column of the data frame "allRandomTestCase_XDroped". That is why my