similar to: order function

Hi I'm getting the following warning msg after ?cv.glmnet and I'm wondering what it means... dim(x) 10 12000; dim(y) 10; #two groups case=1 and control=0 cv.glmnet(x, y) Warning message: Option grouped=FALSE enforced in cv.glmnet, since < 3 observations per fold Thanks, .kripa [[alternative HTML version deleted]]

Hello guys, i have a question about a voip gateway we use. I saw those values typing in cli: core show translation g723 gsm ulaw alaw g726aal2 adpcm slin lpc10 g729 speex ilbc g726 g722 slin16 g723 - - - - - - - - - - - - - - gsm - - 2001 2001 6000 2001 2000 16000 - 34002 - 6000

Hi all, I'm from Brazil. I fit a Tobit model to FLUID MILK CONSUMPTION (DEPENDENT VARIABLE) data using survreg (attached). I am confused about the output interpretation and I would like yours explanations. Thanks, Marcio Roberto Silva -------------- next part -------------- A non-text attachment was scrubbed... Name: Tobit model.pdf Type: application/pdf Size: 9018 bytes Desc: not

Hi, I have the following matrix, which is printed %e format (in C's way). I am wondering how make it be printed in %f format (in C's way)? Regards, Peng > significant_analysis_results[,7:8] pval(ki-wt) pval(ko-wt) Nab2 1.913348979e-06 2.731944670e-09 Rasal1 2.482254110e-05 1.054711084e-05 Ccndbp1 6.307674516e-08 2.268947934e-04 Svep1 0.000000000e+00

Dear All, I was wondering if it is possible to generate a regression summary (it does not matter at this stage if from an lm or for example a glm estimate) in which to obtain the joint significance of a set of regressors? Examples could be looking at the joint significance level of a polynomial, or of a set of exogenous variables of which is of interest the linear combination suggested by the

Dear R experts, For quite some time I have been trying to solve a mistery of reading a seemingly trouble-free text file. The data is temperature reconstruction arranged as a huge grid, preceded by seven "header lines" (which you see better if file is opened in Firefox or Chrome). This is the data (gridded temperature reconstruction)

Hi: When I call str() on an mlogit object, I seem to get warnings. This code is from an example provided in the mlogit documentation: library(mlogit) data("Train", package="mlogit") tr<-mlogit.data(Train, shape="wide", choice="choice", varying=4:11, sep="", alt.levels=c(1,2), id="id")

In a general re-configuration of my box, I deleted and re-installed CentOS. OK, I need the gpg key. When, as suggested, I run rpm --import public.gpg.key I get: error: public.gpg.key: import read failed. So what do I do now? -mj-

Hello!   I estimate vector error correction model (vecm) model. I have only one cointegratio relationship. I write :   joh.vecm.rls <- cajorls(joh.vecm, r=1) The output estimation is : Call: lm(formula = substitute(form1), data = data.mat) Coefficients:                up.d            expl.d        upd.d           r.d      ect1      -1.34e-01   4.55e+02   6.91e+00   2.43e+03 constant 

I have 2 servers: On both, I did yum update. One upgraded the kernel, the other didn't. Why? TIA, Dave Augustus

The Wine development release 1.7.9 is now available. What's new in this release (see below for details): - Improved window moving/resizing in the Mac driver. - Some DirectDraw palette fixes. - Reduced code duplication between C++ runtime versions. - Various bug fixes. The source is available from the following locations: http://prdownloads.sourceforge.net/wine/wine-1.7.9.tar.bz2

The Wine development release 1.7.20 is now available. What's new in this release (see below for details): - X11 drag & drop fixes. - A few more C/C++ runtime functions. - Fixes for various memory issues found by Valgrind. - Some OLE storage fixes. - Various bug fixes. The source is available from the following locations:

Dear developers, When I try to map line numbers in source code back to LLVM basicblocks, I meet some problems: there is a source file with 1500 lines of code, but when I use BasicBlockPass to collect all DbgStopPoint instructions in this file, I can only get 500 lines of code. The source code and the collected results are both attached. Is there any way to map line numbers

Hallo, I have this dataset with repeated measures. There are two within-subject factors, "formant" (2 levels: 1 and 2) and "f2 Ref" (25 levels: 670, 729, 788, 846, 905, 1080, 1100, 1120, 1140, 1170, 1480, 1470, 1450, 1440, 1430, 1890, 1840, 1790, 1740, 1690, 2290, 2210, 2120, 2040, 1950), and one between-subject factor, lang (2 levels:1 and 2). The response variable