similar to: contour lines on persp plot

Hello folks, i'm a R beginner and i want to put in a same plot both contour lines and persp plot. For example, fn<-function(x,y){sin(x)+2*y} #this looks like a corrugated tin roof x<-seq(from=1,to=100,by=1) #generates a list of x values to sample y<-seq(from=1,to=100,by=1) #generates a list of y values to sample z<-outer(x,y,FUN=fn) #applies the funct. across the combos of x

I'm trying to implement the standalone assembler for mips and I have encountered a problem in instruction operands matcher. In mips instruction set there are math instructions with two format flags in the mnemonic, one for source and one for destination register. For example ceil.w.s means both source and destination are F32 registers while ceil.l.d means both source and destination are F64

On May 22, 2012, at 8:05 AM, "Medic, Vladimir" <vmedic at mips.com> wrote: > I'm trying to implement the standalone assembler for mips and I have encountered a problem in instruction operands matcher. > In mips instruction set there are math instructions with two format flags in the mnemonic, one for source and one for destination register. > For example ceil.w.s

Hi everybody, I'm currently working with LLVM (v 2.6) and I try to interpret LLVM bitcode using the c API. Here is my problem : I have two LLVMModuleRef, M1 and M2, M1 contains the function "funct()" and M2 contains a main function which call "funct()" (M2 declares "funct()" too but it doesn't define it). If I try to run the main function, I got the error

I want to sample within groups, and when a group has only one associated number to just return that number. If I use this code: groups <- c(1, 2, 2, 2, 3) numbers <- 1:5 tapply(numbers, groups, FUN = sample) I get the following output: > groups <- c(1, 2, 2, 2, 3) > numbers <- 1:5 > tapply(numbers, groups, FUN = sample) $`1` [1] 1 $`2` [1] 3 2 4 $`3` [1] 2 3 5 1 4

I have not used the C api or the interpreter, but via JIT one can use ExecutionEngine::addGlobalMapping(...) after the function decl in the foreign module. See if there is an equivalent in the C API, which will probably work for the interpreter given that this method is declared in ExecutionEngine. Also search for a previous email thread in this list. This discussion was fairly recent, and I

Hi, I have been brought back to the "R-Side" from MatLab. I have used R in graduate econometrics but only for statistics and regression (linear and nonlinear). But now I need to run general nonlinear optimization. I know about the add-in quadprog but my problem is not QP. My problem is a general nonlinear (obj funct) with linear constraints.I know about the "ms" and

I have this data set that both x & y are ordered vectors of length 600 & 700 respectively; z is a 600 by 700 matrix whose entry z[i,j] is either a missing value (indicated by 'NaN') or a real number between 0 and 1. The contour function contour(x,y,z) gives me a blank picture. I guess the reason is that most of z-entries are missing, only less than 1% are non missing.

We are doing a power analysis by generating noisy data sets according to a model, fitting the model to the data, and extracting a p-value. What is the best way to do this many times? We are just using for loops and it is too slow because we are repeating the analysis for many parameterizations. I can think of several ways to do this: for loop sapply using the plyr package using the lme4 package

Dear Uwe Ligges , I still can't finish it. *> aa* #my data x1 x2 y 5 0.05 6 4.4180 1 0.50 3 2.6979 4 0.50 9 2.9000 7 0.95 6 2.6230 8 0.95 6 2.9078 9 0.95 6 2.6727 3 1.40 3 2.4203 2 1.40 9 2.5329 6 1.85 6 2.4867 *> attach(aa)* *> persp(x1,x2,y* error in persp.default(x1, x2, y) : increasing 'x' and 'y' values expected

I've been thinking of adding the possibility of including "z" among the axes to be logged in image, contour, and persp. In the first two, it would only affect where the breaks were set if they are calculated automatically; it would have a bigger effect in persp. For example, image(x, y, z, log="z") would set 12 colours evenly spaced on a log scale of the z values.

I have data saved in files on disk in following format x y z ------------------ 1 1 1 1 2 2 2 1 3 2 2 4 Normally I read the file into a data frame, but suppose I do it this way: x<-seq(1,2) y<-seq(1,2) z<-seq(1,4) data<-data.frame(x,y,z) image(unique(data$x),unique(data$y),data$z, col=gray(0:19/19), xlab="x", ylab="y") I was helped at some point in the past on

Hi Im currently trying to plot my NMDS data together with fitted variables (envfit funct) on an ordination plot. The plot function shows two displays="sites" and "sp". I was wondering how to plot it so that the sites come up as different points for different sites but the species come up as actual names? It looks a little busy at the moment with everything in. Sya -- View

Dear all; Does anyone know how to add grid lines to a persp plot? I've tried using lines(trans3d..) but the lines of course are superimposed into the actual 3d surface and what I need is something like the plot shown in the following link: http://thermal.gg.utah.edu/tutorials/matlab/matlab_tutorial.html I'll appreciate any ideas Thanks PM

The following matrix of normed likelihoods should give a smooth surface but instead gives a series of spikes in both persp and contour (the dim labels are the axes values). I know an algorithm cannot be infallible but it would be nice to have some parameters to control the smoothing. (It takes close to an hour to produce this matrix on a Pentium II 300mh. It was after that that it crashed with the

Hi, I am working on a UNIX machine and I am interfacing R and C with the .C function. I am trying to call LAPACK and BLAS routines, but am running into a problem where, while I am able to run the BLAS routines, I cannot run the LAPACK routines. I compile my .c file (at end of email) in the following way: [mhitczen at jlogin2 ~/Cstuff]$ R CMD SHLIB testmore.c gcc -std=gnu99

Ah... I searched for half an hour for this function... you know, the help function in R could really be a lot better... But wait a minute... looking at this, it appears you have to pass in an expression. What if it is an unknown function, where you only have a handle to the function, but you cannot see it's implementation ? Will this work then ? -----Original Message----- From: Berton Gunter

Dear R list, I have a package downloaded and looked up a function in there. Now I find that it uses C code (.C call) to do part of its job. However, when I wanted to look that part up by using getAnywhere() I was told that no object of that name could be found. Then I tried typing C.(" funct.name") which only caused R to crash. Is there any way to look up the function? I'm not

Hello, The function barplot automatically creates a y-axis that doesn't necessarily cover the range of y-values to be plotted. I know how to manually create my own y-axis so that it does cover the range, but I was wondering if there is some parameter to change so that the scale of the y-axis is automatically taller than the tallest bar. I thought setting xpd=F would do it, since it says that

Hello List and thanks in advance for all of your help, I am trying implement a permutation test of a multinomial logistic regression ('multinom' within the nnet package). In the end I want to compare the parameter estimate from my data to the distribution of randomized parameter estimates. I have figured out how to permute my dependent variable (MNNUM) x number of times, apply