search for: steep

Hi list, I have a question regarding post-hoc extraction of data from a two-way categorical anova. I have a categorical anova of this form: width ~ steepness + patchiness (4 steepness levels, 4 patchiness levels) This simple setup answers if for the widths I collected across different levels of steepness and patchiness significant differences can be found. Is there a way to look at these differences in detail. Lets say that the steepness parameter...

...slightly different on different platforms/ with different display devices (they sometimes report a Windows graph that looks OK but odd results on printing). I'm able to replicate similar problems on my Linux (RH 6.0) system. 1. abline() plots nothing, or a wrong line, when the slope is too steep. plot(0:10,0:10) abline(a=0,b=100) abline(a=0,b=200) abline(a=0,b=300) abline(a=0,b=80) 2. when plotting with type "l" and with values far beyond the limits of the plot, semi-random lines appear on the plot. plot(exp(1:100),ylim=c(0,10),type="l") Any thoughts? I poked a lit...

...window into two: in one I edit the .R file and in the other I have a shell so I run R and can easily copy and paste the code. There are some features that I don't like and I am having a look on some alternatives. I've heard wonders of emacs with ess but I am a little bit frightened of the steep learning curve. What do the R experts use or would recommend using? Both linux and/or windows alternatives are welcomed. I guess it would much depend on the particular needs/preferences of each user but I would like to know which are the most commonly used editors. Thanks, Angel

I am just beginning to use LLVM, and find that 'getting started' is the steep part of the learning curve. I am using MingW and msys, which I have not fully grokked yet. Anyway, actually building the libraries from source is turning out to be difficult. I want to work with LLVM as described in the except from the LLVM FAQ below. I am using C++, so the FFI is a non-issue....

Digium is 100% lost in the map. If they would come up with a Paid version of Asterisk, one that would use the .NET framework in Windows, something simple to install, they could go public on the product. Linux has a very steep learning curve. A Windows application that would do exactly the same would be a home run. Note: I am a Linux expert user, but it took me years to get here. And still, moving from regular RHEL 6.0 to Fedora 20 (RHEL 7) is a pain in the neck. The .NET framework and Windows server 2012 are miles away...

...a 80c51 instruction set > > (without mul/div) and with Direct or indirect memory acces. > > My estimate is something like a man-week for a person, who knows what to do > :) That's pretty optimistic, even for someone who knows what to do. The learning curve for TableGen is quite steep. I would budget at least a year for everything; learning TableGen, writing patterns, custom lowering, testing, etc. And that's for a relatively simple, orthogonal ISA. Of course this happens iteratively. You learn a little TableGen (mostly by looking at existing backends and asking lots of...

...(without mul/div) and with Direct or indirect memory acces. >> >> My estimate is something like a man-week for a person, who knows what to do >> :) > > That's pretty optimistic, even for someone who knows what to do. > > The learning curve for TableGen is quite steep. I would budget at least a > year for everything; learning TableGen, writing patterns, custom lowering, > testing, etc. 1 year is an eternity in LLVM year. ARM target was up and functional in about 2 months of time. Evan > > And that's for a relatively simple, orthogonal ISA. &...

...t; Can you clarify? Is this 1.7% slowdown of scheduling time or overall > >> codegen time? If it's the later, then it seems a bit too much. Also, > >> please test it with all the MultiSource/Applications. > > > > It's 1.7% overall. > > That seems somewhat steep. Can you see how much of the scheduling > slow down there is? I got some times from the nightly report, so this is overall compile time. The worst slowdown is on timberwolfmc "llc compile" which has a 5% slowdown. The JIT slows down 6%. Everything else looks to be 1% or less. In s...

...and I am unable to see how to do this in a vector manner. For example, I tried density((Arrival.Val | DAY*Hour), na.rm=TRUE) which does not work. I think my question boils down to "how do you replace a whole data set by its factored subsets in all of the usual R commands? I am climbing up a steep R learning curve, and so would appreciate some help. Thanks, Jim ?

...7% slowdown of scheduling time or overall > > >> codegen time? If it's the later, then it seems a bit too much. Also, > > >> please test it with all the MultiSource/Applications. > > > > > > It's 1.7% overall. > > > > That seems somewhat steep. Can you see how much of the scheduling > > slow down there is? > > I got some times from the nightly report, so this is overall compile time. > > The worst slowdown is on timberwolfmc "llc compile" which has a 5% > slowdown. The JIT slows down 6%. > > Everythi...

...king at a Xorcom PBX with programmable contact, so I have no issue with opening the gate, but the interface at the gate is a bit tricky. I thought about a weather proof housing containing a phone but it seems a bit tacky. I also looked at a handsfree erather proof phone, but at $600 it is a bit steep. Any solutions that have been implemented successfully? -- This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean.

.... - Deals well with spatial data, has a robust graphical interface and has an active user group list / forum. - External packages for R are almost daily increasing, most of them based on published up-to-date books and peer-reviewed articles. - R related books ? quite a few ?. Cons: - R has a very steep learning curve. - There is no perfect ?beginner? book. - Experience with other programming languages is a plus / minus. - You can save scripts, but not *.exe. - It is updated several times a year (good) but there are no up-grades. - It seems that it is hard to install correctly under Linux. - Every...

...re prompt replies on installing R on a Solaris 64-bit machine. R is now running and seems to be doing fine. I realy would like to have access to the manuals so I can climb most of the learning curve on my own -- I am a long time user of Splus, hence I am not expecting the learning curve to be too steep. On the Sun machine that R is installed neither LaTeX, nor pdfLaTeX nor infomake is installed, hence the manuals could not be built. I am not administrator of the machine and the admin. people are vey reluctant to install the required freeware, I am looking for a workaround. I have LaTeX and pdf...

...ly map to PTX, and the range of things naturally supported depends on the features of a given target. With sufficient effort, all possible uses of these instructions could be emulated on all targets, at the cost of efficiency, but this would significantly complicate the codegen and probably produce steep performance cliffs. The basic model: %d = cmpxchg {T}* %a, {T} %b, {T} %c --> atom.{space of %a}.cas.{T} d, [a], b, c %d = atomicrmw {OP} {T}* %a, {T} b --> atom.{space of %a}.{OP}.{T} d, [a], b for op in { add, and, or, xor, min, max, xchg } with the special cases: %d is unu...

...I have been battling off and on for a few months. No one local seems to be able to help, so I turn here. The issue seems to either be how R calculates Kaplan-Meier Plots, or something with the underlying statistic itself that I am misunderstanding. Basically, longer survival times are yielding steeper drops in survival than a set of shorter survival times but with the same number of loss and retention events. As a minor part of my research I have been comparing tag survival in marked wild rodents. I am comparing a standard ear tag with a relatively new technique. The newer tag clearly ?wi...

...which(deviances2 == min(deviances2)) # 19 spk$ShiftedAoEO = spk$AoEO - breakpoint; spk$PastBreakPoint = as.factor(spk$ShiftedAoEO > 0); m2 = lm(LDlog ~ LR + ShiftedAoEO:PastBreakPoint,data=spk) m0 = lm(LDlog ~ LR + AoEO,data=spk) anova(m0,m2) # m2 is better (p = 0.033) summary(m1) # the line is steep before the breakpoint (18), flatter after #ShiftedAoEO:PastBreakPointFALSE 0.014795 0.001662 8.900 < 2e-16 *** #ShiftedAoEO:PastBreakPointTRUE 0.007713 0.001723 4.477 8.65e-06 *** summary(m2) # the line is steep before the breakpoint (19), flatter after #ShiftedAoEO:PastBreakPoint...

...e endless faults. I *guess* we have mitigation for this with our stack guard pages, but it's still a bit nasty that the hypervisor can arbitrarily land a guest in the double-fault handler. It just all seems a bit weak for the hypervisor to be considered untrusted. But, it's _certainly_ a steep in the right direction from SEV.

...e endless faults. I *guess* we have mitigation for this with our stack guard pages, but it's still a bit nasty that the hypervisor can arbitrarily land a guest in the double-fault handler. It just all seems a bit weak for the hypervisor to be considered untrusted. But, it's _certainly_ a steep in the right direction from SEV.

Hello, I requested help a couple of weeks ago creating a dipole field in R but receieved no responses. Eventually I opted to create a 3d sinusoidal plot and concatenate this with its inverse as a means for a "next best" situation. It seems that this isn't sufficient for my needs and I'm really after creating a continuous 3d gaussian mesh with a "positive" and

...nd 1, sometimes hunters answered with 2. Unfortunately, it is not the questioner who is burdened with the analysis, but me. I am struggling to find an appropriate approach to the analysis. I don't really consider this as count data, since it would be very vulnerable to overinflation (and a steep decline for counts above 0). I can't really suggest binomial models either, since the lack of explanatory, continuous data renders such an approach quite vague. I also struggle with the random design of the survey (households nested within villages nested within districts). Adding to that,...