similar to: newbie problem using Design.rcs

Hello, I want to model my data with the following model: Y1=X1*coef1+X2*coef2 Y2=X1*coef2+X2*coef3 Note: coef2 appears in both lines Xi, Yi is input versus output data respectively How can I do this in R? I got this far: lm(Y1~X1+X2,mydata) now how do I add the second line of the model including the cross dependency? Your help is greatly appreciated! Cheers, Bastiaan

I am having trouble predicting new data with a model created from package mboost: > mb1<-glmboost(as.formula(formula1),data=data_train,control=boost_control(mstop=400,nu=.1)) > f.predict<-predict(mb1,newdata=data_train) Error in scale.default(X, center = cm, scale = FALSE) : length of 'center' must equal the number of columns of 'x' Ultimately I want to predict

Jonathan Lennox wrote: > +opus_int32 silk_noise_shape_quantizer_short_prediction_neon(const opus_int32 *buf32, const opus_int32 *coef32) > +{ > + int32x4_t coef0 = vld1q_s32(coef32); > + int32x4_t coef1 = vld1q_s32(coef32 + 4); > + int32x4_t coef2 = vld1q_s32(coef32 + 8); > + int32x4_t coef3 = vld1q_s32(coef32 + 12); > + > + int32x4_t a0 = vld1q_s32(buf32 -

Hello, I've written a simple (although probably overly roundabout) function to test whether two regression slope coefficients from two linear models on independent data sets are significantly different. I'm a bit concerned, because when I test it on simulated data with different sample sizes and variances, the function seems to be extremely sensitive both of these. I am wondering if

Dear all: I'm trying to fit the optimal Box-Cox transformation related to nls (see the code below) for the demand of money data in Green (3th Edition) but in the last step R gives the next error message. Error en `[.data.frame`(eval(object$data), , as.character(formula(object)[[2]])[2]) : undefined columns selected. ?Any idea to solve the problem? Thanks in advance,

> On Dec 19, 2015, at 10:07 PM, Timothy B. Terriberry <tterribe at xiph.org> wrote: > > Jonathan Lennox wrote: >> +opus_int32 silk_noise_shape_quantizer_short_prediction_neon(const opus_int32 *buf32, const opus_int32 *coef32) >> +{ >> + int32x4_t coef0 = vld1q_s32(coef32); >> + int32x4_t coef1 = vld1q_s32(coef32 + 4); >> + int32x4_t coef2 =

Hello, I have posted this mail a few days ago but I did it wrong, I hope is right now: I have the following doubts related with lm.ridge, from MASS package. To show the problem using the Longley example, I have the following doubts: First: I think coefficients from lm(Employed~.,data=longley) should be equal coefficients from lm.ridge(Employed~.,data=longley, lambda=0) why it does not happen?

> > So i guess from your prev. email the svmModel$coefs correspond to the > "Alpha" . yes (times the sign of y!). > > Why do I see three columns in the coefs?( Is this the number of classes -1 > = Numbe of hyperplanes) yes, but in a packed format which is not trivial. I attach some explanation I sent to R-help some time ago (the guy wanted to write his own

--- Makefile.am | 8 +++-- silk/NSQ.c | 37 ++++++++-------------- silk/NSQ.h | 70 +++++++++++++++++++++++++++++++++++++++++ silk/arm/NSQ_neon.c | 64 +++++++++++++++++++++++++++++++++++++ silk/arm/NSQ_neon.h | 91 +++++++++++++++++++++++++++++++++++++++++++++++++++++ silk/x86/NSQ_sse.c | 2 +- silk/x86/main_sse.h | 3 +- silk_headers.mk | 2 ++ silk_sources.mk

--- Makefile.am | 5 +-- silk/NSQ.c | 37 ++++++++-------------- silk/NSQ.h | 70 +++++++++++++++++++++++++++++++++++++++++ silk/arm/NSQ_neon.c | 64 +++++++++++++++++++++++++++++++++++++ silk/arm/NSQ_neon.h | 91 +++++++++++++++++++++++++++++++++++++++++++++++++++++ silk/x86/NSQ_sse.c | 2 +- silk/x86/main_sse.h | 3 +- silk_headers.mk | 2 ++ silk_sources.mk

As promised, here's a re-send of all my Aarch64 patches, following comments by John Ridges. Note that they actually affect more than just Aarch64 -- other than the ones specifically guarded by AARCH64_NEON defines, the Neon intrinsics all also apply on armv7; and the OPUS_FAST_INT64 patches apply on any 64-bit machine. The patches should largely be independent and independently useful, other

Hi, I have a question about running multiple in regressions in R and then storing the coefficients. I have a large dataset with several variables, one of which is a state variable, coded 1-50 for each state. I'd like to run a regression of 28 select variables on the remaining 27 variables of the dataset (there are 55 variables total), and specific for each state, ie run a regression of

Dear List: Below is the validation output of a fitted ordinal logistic model using the bootstrap in the rms package. My interpretation is that most of the corrected indices indicate little overfitting, however the slope seems to indicate that the model is too optimistic. Given that most of the corrected indices seem reasonable, would it be appropriate to use this model on future data if the

I'm trying to fit a Cox proportional hazards model to some hospital admission data. About 25% of the patients have had at least one admission, and of these, 40% have had two admissions within the 12 month period of the study. Each patients has had one of 4 treatments, and one of the treatment groups has had no admissions for the period. I used:

"Jesper Juhl" <jesper.juhl@gmail.com> writes: > On 31/07/07, 2004 ruffneck <ruffneck2004@yandex.ru> wrote: > > Hello to everybody! > > > > I did read, that Lguest and Xen was merged to upstream and must be in 2.6.23-rc1 kernel, but I can't see it in "make menuconfig". So, what's the deal? Can anybody explain me, how to enable XEN

We just upgraded our server to run Mandrake 10.1. It is using kernel 2.6.8 and we are now using Samba 3.0.10. I am using the RCS commands on a Windows XP Professional computer. Before the upgrade, I had no problem checking files out with the "co -l" command no matter who owned the file. Now I get a "Permission denied" error unless I'm the owner of the RCS control

This patch (against unstable) makes sure that the skel/etc/init.d/rcS file is executable before building the final ramdisk image. This should fix the problem some people are having with their ramdisk builds. -- Dan Smith IBM Linux Technology Center Open Hypervisor Team email: danms@us.ibm.com _______________________________________________ Xen-devel mailing list

"Jesper Juhl" <jesper.juhl@gmail.com> writes: > On 31/07/07, 2004 ruffneck <ruffneck2004@yandex.ru> wrote: > > Hello to everybody! > > > > I did read, that Lguest and Xen was merged to upstream and must be in 2.6.23-rc1 kernel, but I can't see it in "make menuconfig". So, what's the deal? Can anybody explain me, how to enable XEN

Hello, On Windows XP using R 2.4.0pat (2006-10-19 r39674) from CRAN (sorry, no r-devel) R CMD check of R CMD build --binary fails if package has RCS folder in data map. This does not happen on my Debian GNU/Linux box with R 2.4.0 (2006-10-03). Is this a bug? Here is the transript from the command prompt C:\Programs\R>R CMD check test * checking for working latex ... OK * using log

Hi all, I have fitted a gee model with the gee package and included restricted cubic spline functions. Here is the model: chol.g <- gee(SKIN ~ rcs(CHOLT, 3), id=ID, data=chol, family=binomial(link="logit"), corstr="exchangeable") To extract the log odds I use: predict.glm(chol.g, type = "link") Now I want to compute the logg odds for specific CHOLT values