similar to: Hidden line algorithms and a different kind of waterfall

Hi friends, I need suggestions/directions on how to producing a waterfall plot for present extend of change in tumour size for a set of respondents in a study.  Example of use of waterfall plot is in the following slides presented at ASCO 2007 by Axel Grothey. Link is

Hi all, with PowerPoint and ThinkCell one can draw something they call waterfall chart and it looks like this: http://www.think-cell.com/products/images/waterfall.gif I found discussions on waterfall charts in the archive of this mailinglist, but unfortunately they looked totally different. Other names for this type of plot seem to be bridge chart, cascade chart, stair case chart, etc. but

Hi, While playing with quantile-quantile plots, I wrote up some code which plots something strangely different. Here's the pseudocode: testhist <- hist(sample_data) refhist <- hist(rnorm(n, mean=0,sd=1)) # for some large-ish n cumtest <- cumsum(testhist) cumref <- cumsum(refhist) plot(cumref,cumtest) This produces a straight line of slope 1 for a sample with the same

The subject may not make a lot of sense so let me try and explain. I''ve searched the archives and come up short so my apologies if this has indeed been addressed before. I have a function that looks like this: define remotedir($mode, $owner, $group, $source, $ensure = directory, $recurse = inf) { file { $name: mode => $mode, owner

Le 25/08/2019 ? 23:07, Stephen John Smoogen a ?crit?: > I have had several people explain to me that my comments were > out-of-place and out-of-turn. When I wrote them originally I thought I > was going from experience of previous releases and thought I was being > matter of fact. In rereading I realized I was crass and grumpy. My > un-reserved apologies for that. I should have

Hi, A recent thread provided a (working) construct for lm: lm(as.matrix(freeny[ix]) ~., freeny[-ix]) Can someone explain what is meant by the formula in that expression, that is, what does "mymatrix~." do? I couldn't find any such example in the lm() or formula() help pages. thanks Carl

I'm trying to get these cleaned up and landed, but I'm running into some trouble with this patch. Using commit a08b29d88e3c (July 21) of Ne10, I'm seeing test failures for 60-point FFTs: nfft=60 inverse=0,snr = -3.312408 ** poor snr: -3.312408 ** nfft=60 inverse=1,snr = -16.079597 ** poor snr: -16.079597 ** All other sizes tested appear to work fine (84 to 140 dB of SNR). This

Let's say I have, for some reason, a bunch of scalars (i.e. single-valued variables) and I want to merge them all into a single vector of values. Can someone recommend a better function, or simpler way, to do so than the following? Suppose my scalars' names are foo1, foo2, foo3, foo1high, foo2high, foo3lo2, etc. Then I can do: >ls(pat='foo')->thels

Hi, So far as I can tell, the 'col.ticks' parameter for axis() only uses the first value provided. E.g.: plot(0:1,0:1, col.ticks=c('blue','red','green')) #all ticks are blue Just wondering if there's a different option in the basic plot commands that can handle multiple colors, and also whether ggplot and/or lattice allow for multiple tick colors.

On Mon, Nov 12, 2012 at 7:03 AM, David Tweed <david.tweed at arm.com> wrote: >> I don't believe so - I think only a certain sliding window of logs are >> kept (& I don't know of an easy way to view a particular revision >> across the bots either) > > For me a bigger issue has been inability to see a long list of results for a > particular builder (say,

Hi, Sorry to bother with something that should be simple, but I can't find it. Suppose I have a list, each element of which is a 2xN dataframe, where N could be different for each element. Is there some simple structure to let me examine all the elements of each element's first column? For example: >foo $first [,1] [,2] [1,] 1 4 [2,] 2 5 [3,] 3 6 $second

Hi, subject more or less says it all. I freely admit to not having bothered to find some of the online papers about method of testing the quality of random number generators -- but in an idle moment I wondered what to expect from something like the following: randa<-runif(1000) randb<-runif(1000) t.test(randa,randb)$p.value var.test(randa,randb)$p.value [repeat ad nauseum] Is the

> I had the idea of implementing a lot of the operations in FFTs. ( for > example, it is possible to do auto-correlation and FIR filtering using > FFTs.) There are two advantages to this. > 1. It's almost always faster > 2. By swapping fft implementations, it could be easy to recompile for > fixed or floating point versions. No. FFT's require higher precision than

I have an irregular time series in a Zoo object, and I've been unable to find any way to do an FFT on it. More precisely, I'd like to do an NFFT (non-equispaced / non-uniform time FFT) on the data. The data is timestamped samples from a cheap self-logging accelerometer. The data is weakly regular, with the following characteristics: - short gaps every ~20ms - large gaps every ~200ms

No, seriously: I've had more than one person at work wonder what math toolset could be loaded onto iOS. So, before Matlab, FreeMat, Mathematia, SciLab, Octave, or numpy (:-) ) produces a version for iPad, any chance someone is working on R for iPad?

Hi, I'm relatively new to R, so I don't know the full list of base (or popular add-on packages) functions and tools available. For example, I tripped across mention of rle() in a message about some other problem. rle() turned out to be a handy shortcut to splitting some of my data by magnitude (vaguely like a sequence-based histogram). So I thought I'd ask: what small, or

I followed a couple threads from the archives and from stackoverflow.com, and would like to know: just what is "..." ? What I mean by this is,for example, from the point of view of a user running a function in debug mode, is "..." an object, or does it exist in the current environment as some thingy? Maybe a better question to ask is: if I were to write some function

I was cursing Matlab again today (what else is new) because the default action for every Matlab command is to spew the result to the console, and one must remember to put that darn ";" at the end of every line. So I just wondered: was there ever a discussion as to providing some modified version of the "<-" and "->" operators in R to do the reverse?

>From r167602 and onwards I get a fail in 'make check-all' for llvm+clang, built with gcc-4.7.1 (but not with clang-3.1) on Linux x86_64: Failing Tests (1): Clang :: CodeGenCXX/mangle-ms-templates.cpp clang: /dev/shm/uabpath/master/include/llvm/Support/Casting.h:208: typename llvm::cast_retty<To, From>::ret_type llvm::cast(const Y&) [with X =

Hi, I've got a matrix, Z, of values representing (as it happens) optical power at each pixel location. Since I know in advance I've got a single, convex peak, I would like to do a 2D parabolic fit of the form Z = poly((x+y),2) where x and y are the x,y coordinates of each pixel (or equivalently, the row, column numbers). Is there an R function that lets me easily implement that?