search for: climbs

Hi Let's assume, we have a multiple linear regression, such as the one using the Scottish hills data (MASS, data(hills)): one dependent variable: time two independent var (metric): dist, climb if I am interested, after (!) fitting a lm: my. lm <- lm(time ~ dist + climb, data = hills) in the equivalence (or non-equivalence) of the two predictors "dist" and

Hi, First of all, thanks for the great work on R in general, and MASS in particular. It's been a life saver for me many times. However, I think I've discovered a bug. It seems that, when I use weights during an initial least-squares regression fit, and later try to add terms using stepAIC(), it uses the weights when looking to remove terms, but not when looking to add them:

Here's the problem: I start asterisk, and it takes up around 3-4% of my CPU resources. However, this number continues to climb over the hours until it is close to 100%. Usually it takes around a day to climb up to approximately 95 or 96% Has anybody experienced the following problem before?

Hello, I am experiencing a strange problem when writing (capturing) DPX video files to a Linux/Samba share. Basically, I'm seeing seeing a single smbd process go from 9 percent CPU utilization to 100 percent CPU utilization over the course of about 40 minutes. When smbd reaches 100 percent, the capture stops (drops frames). I have tested this with three different filesystem formats

Problem as follows: 1) Plug in an external USB drive. 2) Mount it anywhere. Doesn't matter how. 3) Copy a few GB of data to the drive from a non-USB disk. 4) Watch the load average "climb" to 5.x, sometimes 10.x or more. Why? This on an otherwise unloaded system. Doesn't matter how many cores, how much RAM, 32/64 bit, etc. Why should copying some files to a USB drive cause

Dear R Community! We analyse the impact of climbing activity on cliff vegetation. During our fieldwork, we recorded 90 Transects in 3 climbing sites. The aim is to see, if the plant cover (response: Cover) is influenced only by crevice availability (predictor: Cracs), or, additional, by the distance to the climbing route (predictor: Distance). Six plots are nested within one Transect

I want to extra the part of the formula not including the response variable from an lm object. For example if the lm object ABx.lm was created by the call ABx.lm <- lm( y ~ A + B + x, ...) Then ACx.lm is saved as part of a workspace. I wish to extract "~ A + B + x". Later in my code I will fit another linear model of the form z ~ A + B + x for some other response variable z. I

Hi, I've just tried upgrading from 1.1.8 to 1.2.2. As soon as the new version was started up the number of imap/pop3 processes began to climb to 800+, where I normally have about 300 or so connections at any given time. The load on the server also climbed to 150+. I've reverted back to 1.1.18, which is running just fine, but is there anything I can do to help trace what was causing the

Can anyone help explain to me why the two codes below have different result? I thought I can use log(time)~. to replace log(time)~dist+climb+timef.I am using CVlm from DAAG package. I think nihills is preloaded with the package. Thanks in advance. > CVlm(df=nihills, form.lm=formula(log(time)~.),plotit="Observed",m=2)Analysis of Variance Table Response: log(time) Df Sum Sq

fletcher said: > > If you're working on a long document, > > it's not realistic to expect an as you type live preview - > > the performance just won't be there. i said: > i'll wait to challenge you on this assertion until i see > just exactly how well my app works in such situations. i've now done tests, and can conclusively

Jean-Marc Valin wrote: >> I've had a small case with noise suppression and AGC. I have a fairly >> noisy environment here, and with the default parameters, noise >> suppression works fairly well while I talk. However, when I shut up, AGC >> starts slowly increasing the gain until it has amplified whatever noise >> is left to levels about equal to having no

Dear R-Help, My problem/bug came to light,when fitting a linear model using stepwise selection. I'd started with the straightfoward command step(lm(y~., dataset)) This worked fine, but because this starts with all the possible explanatory variables, it results in a model with too many explanatory variables. Hence I wanted to start with just a constant and do forward selection, to get a

Is it possible to make samba produce a log at level 10 for only a specified user(s), I am trying (still) to figure out why Samba processes climb to 100% CPU and the user loses connection with MS Word & Excel files being locked. Have been dealing with this issue for quite some time now, but had to put it on the back burner for a while because we had little time to deal with it. Apprently only

Attached 2012/2/8 Marcello Maggioni <hayarms at gmail.com>: > Mmm, sorry, the patch I posted crashes if ExitBr is null (which it may > be ...) , this one should be ok (and passess all the ScalarEvolution > tests in LLVM): > > diff --git a/lib/Analysis/ScalarEvolution.cpp b/lib/Analysis/ScalarEvolution.cpp > index daf7742..b10fab2 100644 > ---

Hello, I'm finding problems with BackEdgeTaken count calculation in even simple fortran loops with gfortran-4.6 + DragonEgg 3.0. Even for simple double loops like this one: program test2 integer i,j,k dimension k(100,100) do j=1,100 do i=1,100 k(i,j) = i enddo enddo write(*,*) k(1,30) end make the ScalarEvolution

Mmm, sorry, the patch I posted crashes if ExitBr is null (which it may be ...) , this one should be ok (and passess all the ScalarEvolution tests in LLVM): diff --git a/lib/Analysis/ScalarEvolution.cpp b/lib/Analysis/ScalarEvolution.cpp index daf7742..b10fab2 100644 --- a/lib/Analysis/ScalarEvolution.cpp +++ b/lib/Analysis/ScalarEvolution.cpp @@ -4293,9 +4293,15 @@

Well, it wasn't intended as a "real" patch to be included , but more as a "proof of concept" for a solution. Do you think it is a valid solution and I'm correct in my assumption? If so then I'll clean up the patch and attach a testcase for inclusion. Thanks! Marcello 2012/2/9 Nick Lewycky <nlewycky at google.com>: > Your patch should include a testcase,

Hi All, I have an app making extensive use of Mutex and was concerned about the memory leak I have read about. I saw some sample code to reproduce the problem here: http://pastie.caboo.se/10194 So I thought I would run it myself to see the problem. I do not see a memory leak when using the sample code, but if I require "fastthread" before "thread" using fastthread (0.6.4.1)

Here's one for you phone people.... An elderly lady phoned her telephone company to report that her telephone failed to ring when her friends called - and that on the few occasions when it did ring, her pet dog always moaned right before the phone rang. The telephone repairman proceeded to the scene, curious to see this psychic dog or senile elderly lady. He climbed a nearby telephone pole,

...d 'top') a gradual increase in memory usage when asterisk is under heavy processing? I am currently pumping 4 ISDN spans (T-1) through my asterisk test system, and have seen the memory used value in top climb steadily each second. Concurrently, the value for "cached" in top also climbs, but occasionally it drops, as well. Eventually, I start eating into swap and asterisk typically starts dropping calls. A reboot is required to recover the memory, unless someone here knows of a less drastic method. Thanks Mitch Thompson San Antonio, TX -------------- next part --...