search for: overspecify

I presently use TBF with this syntax: tc qdisc add dev eth0 parent 1:100 tbf buffer=15000/8 LIMIT=30000 MTU=1500 parent class is a cbq with rate=128Kbit when I want to add PEAK, I get always RTNETLINK error: Invalid argument. Maybe be I don''t understand this parameter. What I know about it, it''s that it can control short-term burst traffic, and it''s what I need to do.

Dear Colleagues, Apologies for a long email to ask what I feel may be a very simple question; I figure it's better to overspecify my situation. I was asked a question, recently, by a colleague in my department about pre-aggregating variables, i.e., computing the mean of defined subsets of a data frame. Naturally, I thought of the 'by' and 'tapply' functions, as they have always been the solution for...

Hi, On 1/31/19 11:20 PM, Jacob Lifshay wrote: > We're in-progress designing a RISC-V extension > (http://lists.libre-riscv.org/pipermail/libre-riscv-dev/2019-January/000433.html) > that would have variable-length vectors of short vectors (1 to 4): > <VL x <4 x float>> > where each predicate bit masks out a whole short vector. We're using > this extension

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Trying to work out a model formula that will do what I want ... suppose I want to model y = b_i x + epsilon (i.e. a linear model with zero intercept and with slopes differing by groups), and I want to parameterize the slopes in the "usual" way of having a baseline slope value for the first level of the factor b and (n-1) values

Hello. I'm running a generalized linear model and am interested in using the random effects that are output for further analysis. My random effect is interacting with two different fixed effects (which which are factors with two levels each). When I retrieve the random effects I get something like this: (Intercept) nutrient (Intercept) light (Intercept) Aa-0 0.59679192

On 07/14/2013 12:23 PM, Jeremy Fitzhardinge wrote: > (resent without HTML) > > On 07/14/2013 05:56 AM, Ramkumar Ramachandra wrote: >> 1c54d77 (x86: partial unification of asm-x86/bitops.h, 2008-01-30) >> changed a bunch of btrl/btsl instructions to btr/bts, with the following >> justification: >> >> The inline assembly for the bit operations has been

...plies to groups of "4 / 1" float > elements. > > > That would provide the greatest flexibility, as a 1:1 ratio could mean > 1 bit per element, covering the normal case. > > Question: are there any circumstances under which it is desirable to > underspecify or overspecify the number of bits in the predicate? > > ie to deliberately have a FP vector of length 11 and a mask of length > 9 or 13? You are referring to the sub-vector sizes, if i am understanding correctly. I'd assume that the mask sub-vector length always has to be either 1 or the same as...

Hi, I am running a mixed-effect model with a nested-random effect. I am interested in gut parasites in moose. I has three different type of treatment that I applied to moose which are from different "families". My response variable is gut parasites and the factors are moose families which is nested within treatment. My data is balanced. To answer this question, I used the lme function

Hello, I'm trying to fit a generalized linear mixed model to estimate diabetes prevalence at US county level. To do this I'm using the glmer() function in package lme4. I can fit relatively simple models (i.e. few covariates) but when expanding the number of covariates I usually encounter the following error message. gm8 <-

Hi.. i have an expression of the form: model1<-nls(y~beta1*(x1+(k1*x2)+(k1*k1*x3)+(k2*x4)+(k2*k1*x5)+(k2*k2*x6)+(k3*x7)+(k3*k4*x8)+(k3*k2*x9)+(k3*k3*x10)+ (k4*x11)+(k4*k1*x12)+(k4*k2*x13)+(k4*k3*x14)+(k4*k4*x15)+(k5*x16)+(k5*k1*x17)+(k5*k2*x18)+(k5*k3*x19)+

I'm resending this message because I did not include a subject line in my first posting. Apologies for the inconvenience! Tanja > Hello, > > I'm trying to fit a generalized linear mixed model to estimate diabetes prevalence at US county level. To do this I'm using the glmer() function in package lme4. I can fit relatively simple models (i.e. few covariates) but when

Hi, I''m trying to write a recipe to install the latest libstdc++ in both 32bit and 64bit flavors and running into issues. Yum only wants to install the 64bit version if I do: yum install libstdc++ If I do something like: package { "libstdc++.i386" : ensure => latest } It tells me "nothing to do" Any suggestions on the right way to do this? Thanks! Alan --