search for: slm

...50, fit.kknn$fit) (fit.train1 <- train.kknn(pID50~., miceTrainSample, kmax=15, kernel=c("rectangular"), distance=1)) predictedTrain <- predict(fit.train1, miceTrainSample, miceTrainSample$pID50) pID50Train <- miceTrainSample$pID50 lmTrain <- lm(predictedTrain~pID50Train) slm <- summary(lmTrain) str(slm) if (i == 1) { previousR2 <-slm$r.squared sink(file="R2outputKKNN.txt", append=TRUE) previousR2 sink() } else if(i!=1) { currentR2 <- slm$r.squared if (previousR2 > currentR2) { currentR2 <- previousR2 } if (...

Could someone advise me about how to react to the message: * checking R code for possible problems ... NOTE slm: no visible binding for global variable 'response' from R CMD check SparseM with * using R version 2.6.0 Under development (unstable) (2007-09-03 r42749) The offending code looks like this: "slm" <- function (formula, data, weights, na.action, method = "csr",...

...LLVMDev. Please let me know what the next step should be. Preston -----Original Message----- From: Andrew Trick [mailto:atrick at apple.com] Sent: Friday, September 20, 2013 2:02 AM To: Gurd, Preston Cc: Hal Finkel; llvm commits Subject: Re: [llvm] r190717 - Adds support for Atom Silvermont (SLM) - -march=slm Hi Preston, On Sep 17, 2013, at 4:01 PM, Gurd, Preston <preston.gurd at intel.com> wrote: > Hello Andy, > > Why do you say below that there is "no reason to use itineraries for Atom in the first place"? Sorry for that hasty comment. I only meant that the...

I'm trying to use stepAIC on sparse matrices, and I need some help. The documentation for slm.fit suggests: slm.fit and slm.wfit call slm.fit.csr to do Cholesky decomposition and then backsolve to obtain the least squares estimated coefficients. These functions can be called directly if the user is willing to specify the design matrix in matrix.csr form. This is often advantageous in lar...

Hi, I am trying out the SparseM package and had the a question. The following piece of code works fine: ... fit = slm(model, data = trainData, weights = weight) ... But how do I use the fit object to predict the values on say a reserved testDataSet? In the regular lm function I would do something like this: predict.lm(fit,testDataSet) Thanks -Bala _________________________________________________...

Hi All, I created a two variable lm() model slm<-lm(y[1:3000,8]~y[1:3000,12]+y[1:3000,15]) I made two predictions predict(slm,newdata=y[201:3200,]) predict(slm,newdata=y[601:3600,]) there is no error message for either of these. the results are identical, and identical to slm$fitted as well. if this is not the right way to apply the m...

Dear R list, members of my course have encountered the following error message: > slm <- lm(price ~ engsize, autoframe) Error in get(x, envir, mode, inherits) : variable "FUN" was not found [more context is given in the fuller listing below]. Once the error is encountered it seems to persist; for example early in one session: > summary(blin.fit) Call: lm(formula =...

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gday gurus, could someone please help me with this one? Can't find it in the doco. summary of my lm object gives "Pr(>|t|)" but coef doesn't. How do I get hold of these probabilities within an object? There doesn't seem to be an appropriate attribute within the object - I was hoping for something like "my.lm$probabilies". I was hoping to grab the best t

...    13        14        15        16   0.73044  -0.35578  -0.16639   0.05952   0.15116  -0.04217  -0.75147   0.14245  Coefficients:             Estimate Std. Error z value Pr(>|z|)    (Intercept)  5.59850    0.05886  95.116  < 2e-16 *** SL          -0.16542    0.08573  -1.930  0.05366 .  SLM          0.20372    0.07841   2.598  0.00937 ** SUM          0.32331    0.07664   4.219 2.46e-05 *** EL          -0.59471    0.09234  -6.441 1.19e-10 *** PYes         1.08107    0.06731  16.060  < 2e-16 *** SL:EL        1.78588    0.11444  15.606  < 2e-16 *** SLM:EL       1.23178    0.10987 ...

Hi All, After I run the lm function, where (which variable) do I find my R-squared for further calculations? Thanks, Tom -- View this message in context: http://n4.nabble.com/R2-in-lm-function-tp963958p963958.html Sent from the R help mailing list archive at Nabble.com.

Guys, Just to clarify that with the current fix in SLM there is no need to wait for other issues to be fixed (minor issue). So you can move on with your patch. From: Agabaria, Mohammed Sent: Wednesday, June 07, 2017 15:24 To: Zaks, Ayal <ayal.zaks at intel.com>; Chandler Carruth <chandlerc at gmail.com>; Flamedoge <code.kchoi at gmail.c...

On Tue, May 30, 2017 at 1:40 AM Agabaria, Mohammed via llvm-dev < llvm-dev at lists.llvm.org> wrote: > We’re seeing nice improvements but also significant degradations on IA, > which we would like to investigate before the patch is committed. > > > > Major degradations we see: > > > > networking > > ip_pktcheckb1m -6.80 % > >

Johannes, I tried the last one and it gave me this: error: unknown target CPU 'XYZ' note: valid target CPU values are: nocona, core2, penryn, bonnell, atom, silvermont, slm, goldmont, goldmont-plus, tremont, nehalem, corei7, westmere, sandybridge, corei7-avx, ivybridge, core-avx-i, haswell, core-avx2, broadwell, skylake, skylake-avx512, skx, cascadelake, cannonlake, icelake-client, icelake-server, knl, knm, k8, athlon64, athlon-fx, opteron, k8-...

...9 PM To: Doerfert, Johannes Cc: via llvm-dev Subject: Re: [llvm-dev] Generating object files more efficiently Johannes, I tried the last one and it gave me this: error: unknown target CPU 'XYZ' note: valid target CPU values are: nocona, core2, penryn, bonnell, atom, silvermont, slm, goldmont, goldmont-plus, tremont, nehalem, corei7, westmere, sandybridge, corei7-avx, ivybridge, core-avx-i, haswell, core-avx2, broadwell, skylake, skylake-avx512, skx, cascadelake, cannonlake, icelake-client, icelake-server, knl, knm, k8, athlon64, athlon-fx, opteron, k8-...

Quantile Regression for Longitudinal Data. Hi, I am trying to estimate a quantile regression using panel data. I am trying to use the model that is described in Dr. Koenker's article. So I use the code the that is posted in the following link: http://www.econ.uiuc.edu/~roger/research/panel/rq.fit.panel.R I am trying to change the number quantiles being estimated. I change the codes about

...Re: [llvm-dev] Generating object files more efficiently > > > > Johannes, > > > I tried the last one and it gave me this: > > > error: unknown target CPU 'XYZ' > note: valid target CPU values are: nocona, core2, penryn, bonnell, atom, > silvermont, slm, goldmont, goldmont-plus, tremont, nehalem, corei7, > westmere, sandybridge, corei7-avx, ivybridge, core-avx-i, haswell, > core-avx2, broadwell, skylake, skylake-avx512, skx, cascadelake, > cannonlake, icelake-client, icelake-server, knl, knm, k8, athlon64, > ath...

...nd "nlrq" that can be used for linear and nonlinear parametric quantile regression fitting respectively. In particular, "nprq" provides general fitting functions for quantile regression problems with sparse design matrices paralleling the functionality of least squares function slm() in the SparseM package. There has also been some recent updating of the quantreg package, which now includes some functionality for resampling based inference methods. The package "nprq" is joint work with Pin Ng of Northern Arizona University. Comments and suggestions, as always, w...

Oh yes. The "load package" under the "packages menu" in the Windows version does that. To check I typed "library(assist)" after starting R. Same behavior, ssr is found, but others like predict.ssr, and plot.ssr, give a "not found" message. Thanks for the suggestion. Mike

Currently I compile my C code in 2 steps in order to generate .o files clang -emit-llvm -c foo.c -o foo.bc llc -march=XYZ foo.bc -filetype=obj Is there a way to generate either .o or .elf files in just 1 command? Thanks. -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20190323/da9b3c18/attachment.html>