similar to: p-values < 2.2e-16 not reported

Dear all, I have a question about using categorical predictors for SVM, using "svm" from library(e1071). If I have multiple categorical predictors, should they just be included as factors? Take a simple artificial data example: x1<-rnorm(500) x2<-rnorm(500) #Categorical Predictor 1, with 5 levels x3<-as.factor(rep(c(1,2,3,4,5),c(50,150,130,70,100))) #Catgegorical Predictor

We seemed to have it a stumbling block when building with the above (supported) versions. Our process... 1. Start with stock rhel5 2.6.18-8.1.14 source tree 2. Configure InfiniBand support out of the the kernel (we will build OFED separately). 3. Apply the 1.6.4.2 kernel patches to the kernel source. 4. Build the kernel. 5. Build OFED 1.2 against the patched kernel 6. Build Lustre using

> On Jan 12, 2017, at 12:58 PM, Friedman, Eli via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > On 1/12/2017 9:33 AM, Mehdi Amini via llvm-dev wrote: >>> On Jan 12, 2017, at 5:03 AM, Antoine Pitrou via llvm-dev <llvm-dev at lists.llvm.org> wrote: >>> >>> On Mon, 9 Jan 2017 11:43:17 -0600 >>> Wei Ding via llvm-dev <llvm-dev at

Hi, I'm still trying to figure out that GLM procedure in SAS. Let's start with the simple example: PROC GLM; MODEL col1 col3 col5 col7 col9 col11 col13 col15 col17 col19 col21 col23 =/nouni; repeated roi 6, ord 2/nom mean; TITLE 'ABDERUS lat ACC 300-500'; That's the same setup that I had in my last email. I have three factors: facSubj,facCond and facRoi. I had this pretty

> On Jan 12, 2017, at 2:21 PM, Mehdi Amini <mehdi.amini at apple.com> wrote: > > >> On Jan 12, 2017, at 11:04 AM, Steve (Numerics) Canon <scanon at apple.com <mailto:scanon at apple.com>> wrote: >> >>> >>> On Jan 12, 2017, at 12:58 PM, Friedman, Eli via llvm-dev <llvm-dev at lists.llvm.org <mailto:llvm-dev at lists.llvm.org>>

Hi, This is my proposal to add floating point accuracy support to LLVM. The intention is that the frontend may provide metadata to signal to the backend that it may select a less accurate (i.e. more efficient) instruction to perform a given operation. This is primarily a requirement of OpenCL, which specifies that certain floating point operations may be computed inaccurately. Comments

Hi Peter, This sounds like I really good idea. One thing that did occur to me though from an OpenCL point of view is that ULP accuracy requirements can differ for embedded and full profile so that may need to be handled somehow. Thanks, Rob On Wed, 2011-09-07 at 21:55 +0100, Peter Collingbourne wrote: > Hi, > > This is my proposal to add floating point accuracy support to LLVM. >

Dear R-help, I am trying to build R-2.2.0-patched (2005-11-07 r36217) on the head node of a Scyld cluster (dual Opteron 250s) using PGI compilers (v6.0). I used the flags suggested by Jennifer Lai on R-devel (taken from R-admin, except that I had to add -L/usr/X11R6/lib64 to LDFLAGS). The build went fine, but make check-all failed when running tests/Examples/graphics-Ex.R, at: > plot(1:2,

Where does the value 2.2e-16 come from in p-values for chisq tests such as those reported below? > Anova(cm.mod2) Analysis of Deviance Table (Type II tests) Response: Freq LR Chisq Df Pr(>Chisq) B 11026.2 1 < 2.2e-16 *** W 7037.5 1 < 2.2e-16 *** Age 886.6 8 < 2.2e-16 *** B:W 3025.2 1 < 2.2e-16 *** B:Age 1130.4 8 < 2.2e-16 *** W:Age 332.9 8 < 2.2e-16 *** --- Signif.

Hi there, If I do an lm, I get p-vlues as p-value: < 2.2e-16 This is obtained from F =39540 with df1 = 1, df2 = 7025. Suppose am interested in exact value such as p-value = 1.6e-16 (note = and not <) How do I go about it? stephen

Full_Name: Chanseok Park Version: R 2.2.1 OS: RedHat EL4 Submission from: (NULL) (130.127.112.89) pbinom(any negative value, size, prob) should be zero. But I got the following results. I mean, if a negative value is close to zero, then pbinom() calculate pbinom(0, size, prob). dbinom() also behaves similarly. > pbinom( -2.220446e-22, 3,.1) [1] 0.729 > pbinom( -2.220446e-8, 3,.1)

Dear LLVM contributors, I am Naoki Shibata, an associate professor at Nara Institute of Science and Technology. I and Hal Finkel would like to jointly propose to add my vectorized math library to LLVM. The library has been available as public domain software for years, I am going to double-license the library if necessary. ******** Below is a proposal to add my vectorized math library,

Dear List: I'm working to construct a very large sparse matrix and have found relief using the SparseM package. I have encountered an issue that is confusing to me and wonder if anyone may be able to suggest a smarter solution. The matrix I'm creating is a covariance matrix for a larger research problem that is subsequently used in a simulation. Below is the latex form of the matrix if

Hi, I am trying to do run the following model saved in "C:/bugs/sus.bug" model { for (i in 1:n){ y[i] ~ dpois(lamdba[i]) log(lambda[i]) <- mu+bmale[male[i]]+bschn[schn[i]]+epsilon[i] # epsilon[i] ~ dnorm(0,tau.epsilon) } mu ~ dnorm(0,.0001) bmale ~ dnorm(0,.0001) tau.epsilon <- pow(sigma.epsilon, -2) sigma.epsilon ~ dunif(0,100) for (j in

Hi I am doing this sort of thing: POLY: > > obj = best.tune(svm, similarity ~., data = training, kernel = "polynomial") > summary(obj) Call: best.tune(svm, similarity ~ ., data = training, kernel = "polynomial") Parameters: SVM-Type: eps-regression SVM-Kernel: polynomial cost: 1 degree: 3 gamma: 0.04545455 coef.0: 0

Full_Name: Gostan Thierry Version: 2.6.1 (2007-11-26) OS: Windows XP Submission from: (NULL) (193.49.190.42) I cannot explain why R seems to have problems adding two big numbers. sprintf("%f",10^4+10^19) gives "10000000000000010240.000000" instead of "10000000000000010000.000000" problems seems to arrive when i'm trying to add a big and a

With respect to calculating the epsilon index of sphericity for ANOVA, discussed on pp. 45-47 of: http://www.psych.upenn.edu/~baron/rpsych.pdf It notes that epsilon is not required for a repeated measures design with only k=2 levels, as the minimum value of epsilon (e) is given by: e = 1/(k-1) so for k=2, we have e = 1 (ie, no correction of the F test df; see p. 46). These notes apply to a

Hello everybody, I'm investigating several time series with StructTS, and for one series I get zero variance for the measurement errors (local level model). I've read in Brian Dipleys article on time series in the R-Newsletter June/2002, that the airline passengers data set yields the same result. Having the variance of epsilon as zero, I would expect the residuals (y - Z a) to be

I just tried the rsync version of R-1.1.0 on one of my alphas: It compiles without problems (gcc/g77 2.95.2, system is DU4.0E) but make check stops in base-Ex.R at > X <- cbind(1, 1:7) > str(s <- svd(X)); D <- diag(s$d) List of 3 $ d: num [1:2] 12.07 1.16 $ u: num [1:7, 1:2] -0.0976 -0.1788 -0.2601 -0.3413 -0.4225 ... $ v: num [1:2, 1:2] -0.198 -0.980 -0.980 0.198 >

Dear all, I have a big problem to compile R-3.0.2 on our SUSE SLES 11 Server. Make breaks up with fortran errors and so the installation isn't successful This is a part from the make run output.: gcc-3.3 -fpic -L/usr/lib64/gcc-lib/x86_64-suse-linux/3.3.3-hammer/ -lg2c -ffloat-store -c dlamch.f -o dlamch.o dlamch.f: In function `dlamch': dlamch.f:89: warning: INTRINSIC