search for: unmeasurable

...ist gets mostly bugs and questions.. Due mainly to the help that this list provided, I am now able to successfully deploy Linux/Samba servers in our corporate domain, and allow remote offices to function as part of our vast windows domain. Things are working, and the $$$ it has saved us is almost unmeasurable. Again, thanks for your help, and keep up the good work!! It took me a while to admit it, but heck, samba is pretty cool.. ;) Gabriel Matthews Network Support Cinergy Communications "No. I am your father." -Darth Vader, leader, devoted parent, and friend to all.

The new package obsSens is now on the CRAN mirrors. This package has tools for doing senstitivity analysis for observational studies. The common criticism of observational studies is that there is the possibility of an unmeasured variable that is related to both the response and the predictor of interst that could explain the observed relationship. The sensitivity analysis is a "What

The new package obsSens is now on the CRAN mirrors. This package has tools for doing senstitivity analysis for observational studies. The common criticism of observational studies is that there is the possibility of an unmeasured variable that is related to both the response and the predictor of interst that could explain the observed relationship. The sensitivity analysis is a "What

More an echo algorithm question than a purely asterisk one... I have the following setup: Handset - PAP2 - Asterisk - SPA3000 - Telco And no matter what I do, I get echo on a call routed out via the PSTN when I talk into the handset, in the order of a hundred ms (my estimate, could be wildly inaccurate!). Echo will occur also when I have a handset plugged into the phone port on the SPA3000

Hi dear R community, I have up to 12 measures of a protein for each of 6 patients, taken every two or three days. The pattern of the protein looks periodic, but the height of the peaks is highly variable. I'm testing for periodicity using a Monte Carlo simulation envelope approach applied to a cumulative periodogram. Now I want to predict the location of the peaks in time. Of course, the

...s of LLOD's and known values separately. There are undoubtedly more sophisticated methods out there, so this is where you need to go to the literature to see what might suit; though I think it will still have to come down to looking at these separately (e.g. with extra parameters to account for unmeasurable values). Another way of saying this is: any analysis which treats all the data as arising from a single distribution will depend more on the assumptions you make than on the data. So good luck with that! b) If you have a "modest" amount of (known) censoring -- 5%?, 20%? 10%? -- methods f...

Hola! I started to search for information about multilevel survival models, and found frailty in R. This seems to be something of the same, is it the same? Then: why the name frailty (weekness?) -- Kjetil Halvorsen. Peace is the most effective weapon of mass construction. -- Mahdi Elmandjra

...and known values separately. There are undoubtedly more >sophisticated methods out there, so this is where you need to go to the >literature to see what might suit; though I think it will still have to >come down to looking at these separately (e.g. with extra parameters to >account for unmeasurable values). Another way of saying this is: any >analysis which treats all the data as arising from a single distribution >will depend more on the assumptions you make than on the data. So good luck >with that! > >b) If you have a "modest" amount of (known) censoring -- 5%?, 20...

Hi dear R community, I have up to 12 measures of a protein for each of 6 patients, taken every two or three days. The pattern of the protein looks periodic, but the height of the peaks is highly variable. It's something like this: patient <- data.frame( day = c(1, 3, 5, 8, 10, 12, 15, 17, 19, 22, 24, 26), protein = c(5, 3, 10, 7, 2, 8, 25, 12, 7, 20, 10, 5) ) plot(patient$day,

I''m trying to ensure that I keep the number of queries down a bit. If I have two model (lets call them Foo and Bar). They have a many to many relationship. Now I want to get (and paginate) records from Bar that are related to a certain record in Foo. For example I want all records from Bar whose name starts with ''C'' and are related to record Foo whose name is

A student brought this question to me and I can't find any articles or examples that are directly on point. Suppose there are 2 ordinal logistic regression models, and one wants to set them into a simultaneous equation framework. Y1 might be a 4 category scale about how much the respondent likes the American Flag and Y2 might be how much the respondent likes the Republican Party in America.

Sorry for replying in this way, I can send to the list ok, but I can't seem to subscribe to the list. majordomo doesn't accept my email address as a valid address (k.j.wierenga@home.nl > This is primarily to allow clean shutdown to proceed normally. The CPU load is > nominal - I doubt you'd be able to measure it. However, if you want to change > this timeout, it's safe

On Wed, 18 Feb 2015, Nathan Kurz wrote: > On Wed, Feb 18, 2015 at 7:19 AM, Radford Neal <radford at cs.toronto.edu> wrote: >>> ... with assignments inside of loops like this: >>> >>> reweight = function(iter, w, Q) { >>> for (i in 1:iter) { >>> wT = w * Q >>> } >>> } >>> ... before the RHS is executed, the

Hi, (Assume VPID is available and enabled.) I''m trying to figure the TLB stuff with VPIDs. I understand from the poorly written chapter in the intel manual that if an HVM vcpu is running then only the TLBs tagged with the vcpu.VPID will be used. If xen or a PV guest is running, then VPID 0 TLBs are what will be used. Now I understand the hvm_asid_flush_vcpu upon new guest cr3, will

> ... with assignments inside of loops like this: > > reweight = function(iter, w, Q) { > for (i in 1:iter) { > wT = w * Q > } > } > ... before the RHS is executed, the LHS allocation would be added > to a small fixed length list of available space which is checked > before future allocations. If the same size is requested before the > next garbage

On Wed, Feb 18, 2015 at 7:19 AM, Radford Neal <radford at cs.toronto.edu> wrote: >> ... with assignments inside of loops like this: >> >> reweight = function(iter, w, Q) { >> for (i in 1:iter) { >> wT = w * Q >> } >> } >> ... before the RHS is executed, the LHS allocation would be added >> to a small fixed length list of available

On Mon, 22 Jan 2024, Martin Maechler wrote: > I think it is a good question, not really only about geo-chemistry, but > about statistics in applied sciences (and engineering for that matter). > John W Tukey (and several other of the grands of the time) had the log > transform among the "First aid transformations": > > If the data for a continuous variable must all be

Hello, I have a question concerning fitting a cox model with a random intercept, also known as a frailty model. I am using both the coxme package, and the frailty statement in coxph. Often 'shared' frailty models are implemented in practice, to group people who are from a cluster to account for homogeneity in outcomes for people from the same cluster. I am more interested in the classic

I took 5 albums (Classical music) and converted them to Ogg Vorbis at "Full Bitrate" (-q10) and all 5 directories take up about 775 Megs which won't fit on a CD. So I ripped them again in WAV first (And give my friend back his CDs) but now I wanna know what quality setting should I use to fit them on 1 CD (The highest possible with total space used just under 700 Megs)

Hi, This is not an R question, but I've seen opinions given on non R topics, so I wanted to give it a try. :) How would one treat a variable that was measured once, but is known to fluctuate a lot? For example, I want to include a hormone in my regression as an explanatory variable. However, this hormone varies in its levels throughout a day. Nevertheless, its levels differ substantially