similar to: why I could not reproduce the Mandelbrot plot demonstrated on R wiki

Hi, I was playing with Mandelbrot sets and come up with the following code, I thought I would share: library(fields) # for tim.colors library(caTools) # for write.gif m = 400 # grid size C = complex( real=rep(seq(-1.8,0.6, length.out=m), each=m ), imag=rep(seq(-1.2,1.2, length.out=m), m ) ) C = matrix(C,m,m) Z = 0 X = array(0, c(m,m,20)) for (k in 1:20) { Z =

Using R, I plotted a log-log plot of the frequencies in the Brown Corpus using plot(sort(file.tfl$f, decreasing=TRUE), xlab="rank", ylab="frequency", log="x,y") However, I would also like to add lines showing the curves for a Zipfian distribution and for Zipf-Mandelbrot. I have seen these in many articles that used R in creating graphs. Thank you! [[alternative HTML

You need to install the tools needed to build packages from source. You can read about it in Q3.1 of R for Windows FAQ. Andy > -----Original Message----- > From: Rex Bryan Dell1700 [mailto:rexbryan1 at comcast.net] > Sent: Thursday, October 02, 2003 12:15 PM > To: r-help at stat.math.ethz.ch > Subject: [R] R] Re: Mandelbrot set and C code -- > > > Wizards... >

Wizards... With regards to Mario's Mandelbrot.c programming -- would some kind wizard show how to compile and run his code on a Win installation. I'm looking for a simple "cookbook" example in the same manner that Mario show for Linux. I have Win2000 on this machine. REX --------------- Original Message --------------------- Date: Wed, 01 Oct 2003 14:09:36 +0100 From: ucgamdo

Well, I started playing with fractals in R, and wrote a function to generate de Mandelbrot set, which might be of interest to some people ########################################################################### # Mandelbrot set ########################################################################### mandelbrot <- function(x = c(-3.0, 1.0), # x coordinates y =

Hello, I am using maptools for plooting geographical data. The colour of the region indicates some region dependent value (population for example). I pass the colours of the regions to the plot.Map function by defining the foreground colour: jet.colors = colorRampPalette(c("#00007F", "blue", "#007FFF", "cyan", "#7FFF7F", "yellow",

Dear R users- Do the lattice/latticeExtra packages support multiple tileplots with unique colorkeys? I am trying to create a visualization of the encounter rate of certain stocks of salmon across two years. The issue I am having is that some stocks are encountered at much higher rates than others.the high encounter rate for one stock washes out the patterns I'm hoping to visualize across the

Mira el conjunto de mandelbrot en r cómo mola https://www.google.es/amp/s/www.r-bloggers.com/the-mandelbrot-set-in-r/amp/ El 3 nov. 2017 4:20 PM, "eric" <ericconchamunoz en gmail.com> escribió: > hola luis, podrias explicarte un poco mas ? que quieres decir con "obtener > fractales de una imagen" ? > > Puedes construir una imagen con fractales, pero

Dear all, Using: library(vegan) data(BCI) mod <- radfit(BCI[1,]) mod RAD models, family poisson No. of species 93, total abundance 448 par1 par2 par3 Deviance AIC BIC Null 39.5261 315.4362 315.4362 Preemption 0.042797 21.8939 299.8041 302.3367 Lognormal 1.0687 1.0186 25.1528 305.0629 310.1281

Hi all, In a mailing-list post last November: http://lists.llvm.org/pipermail/llvm-dev/2016-November/107104.html I raised some concerns that having the IR-level fast-math-flag 'fast' act as an "umbrella" to implicitly turn on all the lower-level fast-math-flags, causes some fundamental problems. Those fundamental problems are related to situations where a user wants to

Hi, I have a question on generating random variables based on zipf-mandelbrot distribution. So when I execute the following lines: ZM = lnre ("zm", alpha = 2/3, B=0.1) zmsample = rlnre (ZM, n =100) zmsample It generates 100 random values based on a zipf-mandelbrot distribution as below. But how do I make sure the generated random number is within the range of 1 - 6000 only? Can I

Hello, I have been creating many tileplots to try and illustrate the relative abundance of fish through space and time. My issue is that the tiles that border the plot are smaller than those in the center of the plot. In the example I've provided the effect is pretty minor (I'm hoping this will be an adequate example as I had the code already created/data uploaded). However, I have other

Hola Quisiera saber si podrían informar como puedo hacer para obtener fractales de una imagen con R. Hay algún paquete? o tutorial que me guíe? Desde ya muchas gracias. Atentamente, Luis

Dear R People: Does anyone have any code for Fractals, chaos, or anything like that, please? This is strictly for demo purposes...decorative only. This is R version 1.5.1 for Windows. Thank you in advance! Have a great weekend! Sincerely, Erin Hodgess Associate Professor Department of Computer and Mathematical Sciences University of Houston - Downtown 1 Main Street Houston, TX 77002

I will second Roger's suggestion, colorRampPalette is a great function for creating your own palettes. For example, Matlab's jet palette (also available in fields package under peculiar name 'tim.colors') can be defined by: jet.colors = colorRampPalette(c("#00007F", "blue", "#007FFF", "cyan", "#7FFF7F", "yellow",

Following a discussion about numerical performance on comp.lang.functional recently I just tried running a simple C mandelbrot benchmark that uses C99's complex arithmetic using gcc and llvm-gcc on a 2.1GHz Opteron 2352 running Debian: gcc: 5.727s llvm-gcc: 1.393s There is still 20% room for improvement but LLVM is >4x faster than gcc here. Sweet. Here's the code: #include

Hi, I have a set of observations which are divided into two sets A and B. I have some code that bins the dataset into 10 bins based on the max and min of the observed values. I would like to make a histogram of A & B using my calculated bins but plot the distribution of B on top of A (like a stacked barplot). This is possible since both sets A & B are binned using the same bin ranges.

The LLVM 2.6-compatible IR below is derived from the HLVM test suite and is one of the things I've noticed going wrong. However, I just discovered that it works with LLVM 2.6 and with LLVM SVN when run through lli or llc without -tailcallopt but when I use: $ llvm-as -f aout.ll $ llc -tailcallopt -f aout.bc -o aout.s $ gcc -lm aout.s -o aout and the latest LLVM SVN it starts to print

Hi everybody, the compiler design lab at Saarland University (chair of Sebastian Hack) is also working on an LLVM-based OpenCL driver. The project started as a use-case for our "Whole-Function Vectorization" library, which allows to transform a function to compute the same as W executions of the original code by using SIMD instructions (W = 4 for SSE/AltiVec, 8 for AVX). The

I'm building this with llvm-c, and accessing these intrinsics via calling the intrinsic as if it were a function. class F_SREG<string OpStr, NVPTXRegClass regclassOut, Intrinsic IntOp> : NVPTXInst<(outs regclassOut:$dst), (ins), OpStr, [(set regclassOut:$dst, (IntOp))]>; def INT_PTX_SREG_TID_X : F_SREG<"mov.u32 \t$dst, %tid.x;",