similar to: How to convert two-dimensional function to matrix?

If I start a computation in R, how can I interrupt it? I' using R 2.1.0. Thanks for your help, Lothar

I''m really hitting a wall here. My program has a search engine, returns a list of results. I am using a two-dimensional hash to pass the form data back to my controller. (i.e. params[:job] => {:description => "xxx", :location => "xxx", company => "xxx"}) I use that Job object to search my database, and then wait for user input. Now when the

Hi, I need to do several matrix multiplications with the corresponding matrices forming two 3-dimentional arrays. To illustrate my problem, let's say I have the following 3-dimensional arrays: array1 <- array(1:30,dim=c(3,2,5)) array2 <- array(1:20,dim=c(2,2,5)) I know that I can get what I want with the following computation : result <- array(dim=c(dim(array1)[1],

Dear R-Mastermind Within a while or a for-loop, is there a way that I can save to disk the results of the previous calculations at the end of each loop with filenames called "file01.Rdata", "file02.Rdata" etc? So far, I have tried to write the outcome of each loop in a 3 dimensional array and saved it just once after the loop. Or is there another way so that I can keep

I find the one-dimensional "integrate" very helpful, but often enough I stumble into problems that require two (or more)-dimensional integrals. I suppose there are no R functions that can do this for me, "directly"? The ideal thing would be to be able to define say f <- function(x) { x1 <- x[1] x2 <- x[2] sin(x1*x2)*exp(x1-x2) } and then write say integrate(f,

Hi every one, How is it possible to create a matrix with 3 dimensions from several 2 dimensional matrice? Is it possible that each of "elementary/building block" matrices could be called by its corresponding original name? Thanks alot. -- View this message in context:

Dear R Helpers, I have attempted "optim" function to solve a two-dimensional optimization problem. It took around 25 second to complete the procedure. However, I want to reduce the computation time: less than 7 second. Is there any optimization function in R which is very rapid? Best Regards, Wonsang ----- Wonsang You Leibniz Institute for Neurobiology -- View this message in

I have four large two-dimensional matrices of which I want to create contour plots. Something like filled.contour(<matrix>) contourplot(<matrix>) works but only gives me one plot at a time. If I combine the four matrices into one three-dimensional matrix, which I'll name "seven", there should be a way of doing something like this contourplot(seven[,,k] for k in 1 to 4)

Hi everyone, My goal is to sample from a two-dimensional grid. Consider the following example of code: n.grid <- 500 muA.grid <- seq(-4,4, length=n.grid) muB.grid <- seq(-4,4, length=n.grid) mu.p <- matrix(NA, nrow=n.grid, ncol=n.grid) for(i in 1:n.grid){ for(j in 1:n.grid){ mu.p[i,j] <- dnorm(muA.grid[i], 0, 1)*dnorm(muB.grid[j], 0, 0.5) } } mu.p <-

Hi I am new to R and am trying to set up a two-dimensional array/matrix with the elements defined by the function similar to below. Been trying to use outer with apply but can't seem to get the indexing quite right. Is their a simple way of accomplishing this task ?? ----- / | 1 x < 0.5 & y < 0.5 |

I am trying to plot two 3-dimensional time series in one window (such that there will be 3 rows and 2 columns). For zoo and ts objects the par(mfrow...) option does not work. I can get xyplot to make the plots, but data are on widely different scales in the three dimensions, and xyplot uses the same scale on all y-axis which means that in some dimensions the curves will be almost horizontal lines.

Hello, there!   Basically my problem is very clear. I would like to take a (numerical) integration of a function f(x,y) which can be quite complex of x and y, over a disk (x-a)^2+(y-b)^2<= r^2 (with r constant). However, after some search in R, I just cannot find a function in R that suits my purpose. Function Integrate applies to one dimensional, and adaptIntegrate to rectangle. In my case, it

If I have 2 n-dimensional arrays, how do I compose them into a n+1-dimension array? Is there a standard R function that's something like the following, but that gives clean errors, handles all the edge cases, etc. abind <- function(a,b) structure( c(a,b), dim = c(dim(a), 2) ) m1 <- array(1:6,c(2,3)) m2 <- m1 + 10 abind(m1,m2) ==> , , 1 [,1] [,2] [,3] [1,] 1 3 5

Hello R-users, I'd like to load data from a CSV-file to a 3-dimensional array. However the default seems to be 2-dimensional. It would also be ok to load the data and then convert it to a 3-dimensional structure. I've been trying: dat = read.csv(filename) myArr = as.array(dat, dim = c(12,100,3)) However, I get an error message: Error in `dimnames<-.data.frame`(`*tmp*`,

Hi, everyone I need to create a 429497 x 429497 matrix. When I use *matrix(0,429497,429497)* I got the error information : Error in matrix(0, 429497, 429497) : too many elements specified Then I use "ff" package, try to store this matrix on disk * x<-ff(0,dim=c(429497,429497)* And I got the error information : Error in if (length < 0 || length > .Machine$integer.max)

Dear all, I need to compute (numerically) the two-dimensional integral: int(int f(x,y)dy)dx. What is the more efficient(fast) way to do it? Is adapt function appropriate for this problem? I will much appreciate your help and attention. Vicky. [[alternative HTML version deleted]]

The reference below describes the utility of the two-dimensional Kolmogorov-Smirnow (2DKS) test for detecting relationships in bivariate data. If this test has been implemented in R I would love to know about it! Thanks, jake Garvey, J. E., E.A. Marschall, and R.A. Wright (1998). "From star charts to stoneflies: detecting relationships in continuous bivariate data." Ecology

Dear R Members, I want to know a fast R function to do multidimensional integration. I used the function 'cuhre' in R2cuba library. But it takes painful time to get the answer. I would be thankful if anyone could help me out to solve this problem Thanks Niroshan -- View this message in context: http://r.789695.n4.nabble.com/Two-dimensional-integration-tp4468282p4468282.html Sent

Hi Arnold, thanks for your assistance. I solved the issue right now by changing prefix = Shared/%%u/ to prefix = Shared/%%n/ This omits the @mydomain.de part which holds the dot causing the trouble. Why this became a problem due to the update I wouldn't know. Regards Lothar Am 22.07.2019 um 10:49 schrieb Arnold Opio Oree: > Hi Lothar, > > I haven't yet had the opportunity to

I want to take slices of a multi-dimensional table (or array) without knowing the number of dimensions in advance. As a test I tried using (in this example a 3d table): do.call(`[`, list(tbl, x,NULL,NULL)] where I built the list on the fly. It works great as long as I only want the first dimension however when I try a different dimension, say with list(tbl,NULL,x,NULL), I get