Displaying 12 results from an estimated 12 matches for "overspecifying".
2001 Feb 02
2
TBF settings
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.
2008 May 02
2
Coercing by/tapply to data.frame for more than two indices?
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
2019 Feb 01
3
[RFC] Vector Predication
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
2008 Oct 02
0
constructing appropriate non-intercept formula
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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
2012 Dec 11
1
Interpretation of ranef output
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
2013 Jul 15
1
[LLVMdev] [PATCH] x86/asm: avoid mnemonics without type suffix
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
2019 Feb 04
4
[RFC] Vector Predication
On 2/2/19 1:39 AM, Luke Kenneth Casson Leighton wrote:
>
>
> On Friday, February 1, 2019, Simon Moll <moll at cs.uni-saarland.de
> <mailto:moll at cs.uni-saarland.de>> wrote:
>
> We could untie the mask length from the data length:
>
> %result = call <scalable 4 x float>
> @llvm.evl.fsub.v4f32(<scalable 4 x float> %x, <scalable 4
2013 Feb 17
2
nested random factor using lme produces errors
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
2009 Feb 26
1
(no subject)
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 <-
2006 Mar 11
1
Non-linear Regression : Error in eval(expr, envir, enclos)
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)+
2009 Feb 26
1
error message and convergence issues in fitting glmer in package lme4
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
2012 Feb 23
9
32bit and 64bit version of a package
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
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