similar to: cumsum in 3d arrays

Hi, I want to convert my MATLAB programs to R studio programs. Kindly guide on the same. [[alternative HTML version deleted]]

> On Jan 18, 2018, at 7:49 AM, Anjali Karol Nair <anjali232 at gmail.com> wrote: > > Hi, > > I want to convert my MATLAB programs to R studio programs. > Kindly guide on the same. Hi, Using Google with a search phrase such as "MATLAB to R" will yield a number of possible resources for you such as: http://www.math.umaine.edu/~hiebeler/comp/matlabR.pdf which

Dear Researchers, I need to convert the following equation in R from Matlab a = [x y ones(size(x))]; b = [-(x.^2+y.^2)]; a\b ans = -9.9981 -16.4966 -7.6646 my solution in R is: a = cbind(x,y,rep(1,length(x))) b = cbind(-(x^2+y^2)) > head(a) x y [1,] 14.45319 5.065726 1 [2,] 14.99478 5.173893 1 [3,] 14.64158 5.616916 1 [4,] 14.61803 6.624069 1 [5,] 14.19997

I'm a new R user and am looking for an R equivalent to the Matlab 'cp2tform' function (see: http://www.mathworks.com/help/toolbox/images/ref/cp2tform.html). cp2tform accepts pairs of 2D control points and produces a least-squares optimized spatial transformation from one set of points to the other. Specifically, I'm looking to produce the coefficients of a 3rd order polynomial

Hi, I am trying to convert some Matlab code into R for running some experiments and I was wondering if there is some function in R which does the work of the gradient function in Matlab calculating the "gradient" of 1-, 2- and 3-d images. I only need the 3-d calculations for running these experiments. Many thanks and best wishes, Ranjan

Hi there I am new user of r, i would need some help to translate som code for vectors in matlab to r. I have managed to translate the first 7 rows, but not the rest. Could anyone give me any suggestions for this problem?? Matlab code: tempo=[]; temps=[]; tempn=[]; tempao=[]; tempas=[]; tempan=[]; for k=1:5 tempo = [tempo n_o(k,:)]; temps = [temps n_s(k,:)]; tempn = [tempn

HI, I'm looking for a function that does the same as deal() in MATLAB, i,e, for an array x[1 2 3] [a,b,c]=x; such that a=1, b=2, c=3 Does R have any functions similar to this? [[alternative HTML version deleted]]

Hello all, I am new to R but have some experience with MATLAB and am trying to make the switch. I generally find the two languages easy to adapt but there are a few routine tasks which I would like to run smoother in R and I am having trouble finding a help resource. Could someone suggest a guide to filtering, selecting, sorting, and processing biological matrix data? Here is a rudimentary

Dear All, Currently, I am translating Matlab code to R. I met difficulties to translate such Matlab codes into R: fprintf(fid,(' SPLITTING RESULTS ')); fprintf(fid,(' \n')); fprintf(fid,' Data base to analyze is a matrix %4i x %2i ',[n m]); fprintf(fid,' \n'); fprintf(fid,' h is %2i',h); fprintf(fid,' \n'); fprintf(fid,' group=0

Dear all! I'm using R 2.12.1 in Ubuntu 10.04. Problem is that when using functions like interp (package akima) and akimaInterp (package fUtilities), I get different results every time for the same data set. I've checked the interpolated results, and two examples (in attachment) have different sum of NA values. Also when I subtract the x,y,z values from two interpolations of the same data

The rules for conformability of objects required for various operators remain a mystery as do some related problems like the rules for recycling in creating arrays etc. Would someone be able to direct me to where such rules are stated? In a related vein, there are all manner of operations that are readily coded in Gauss or in MATA that fail, often mysteriously, in R. Are there some

I made some matlab codes... Is there any method to perform matlab codes in R program?? -- View this message in context: http://r.789695.n4.nabble.com/hi-guestion-tp2311219p2311219.html Sent from the R help mailing list archive at Nabble.com.

r-help at stat.math.ethz.ch on Wednesday, October 26, 2005 at 6:00 AM -0500 wrote: Ronaldo, Try Harold's suggestion. The df still won't agree, because lmer (at least in its current version) just puts an upper bound on the df. But that should be OK, because all those t tests are approximations anyways, and you can get better confidence intervals (credible intervals, whatever) by using the

Gracias a todos, lo que sucede es que nos visitará un colombiano matemático experto en ecuaciones diferenciales y tiene todo su expertise en matlab lo que haríamos ahora es llevar directamente las fórmulas matemáticas a R, Muchas gracias a todos -----Mensaje original----- De: r-help-es-bounces en r-project.org [mailto:r-help-es-bounces en r-project.org] En nombre de Isidro Hidalgo Enviado el:

helpeRs, I have a nice looking mosaic plot in an article to be published soon. Sadly, the published version will be in black and white and so ruin the advantage of the default shading scheme of tiles. What would readers suggest as an alternative shading scheme? If I have a black-and-white shading scheme graduated according to suitable cutoffs I won't be able to tell positive from

I was wandering if anybody ever tried to compare the classification accuracy of nnet to other (rpart, tree, bagging) models. From what I know, there is no reason to expect a significant difference in classification accuracy between these models, yet in my particular case I get about 10% error rate for tree, rpart and bagging model and 80% error rate for nnet, applied to the same data. Thanks.

Hi, I have what I think is a simple question/issue but I have unable to find the answer for it either in the R-manual or by browsing the web. I would like to know if there is a "mode" function in R, such that from a vector or matrix the function returns the most common value. In other programs I use (such as Matlab) I can have for exampe a 3X3 matrix A, A=[1 2 3; 1 3 2; 3 3 2] and I

So, trying to convert a very long, somewhat technical bit of lin alg MATLAB code to R. Most of it working, but raninto a stumbling block that is probaably simple enough for someone to explain. Basically, trying to 'line up' MATLAB results from an element-wise division of a matrix by a vector with R output. Here is a simplified version of the MATLAB code I'm translating: NN = [1,

Dear R users, I have been having problems getting believable estimates from anova on a model fit from lmer. I get the impression that F is being greatly underestimated, as can be seen by running the example I have given below. First an explanation of what I'm trying to do. I am trying to fit a glmm with binomial errors to some data. The experiment involves 10 shadehouses, divided between

Here's one way ..... Lines<-"x1 x2 x3 x4 x5 x6 NA NA 3 4 NA NA 5 3 4 NA NA NA 7 3 4 4 NA NA 11 3 4 5 NA NA 67 4 4 NA NA NA" d <- read.table(textConnection(Lines), header = TRUE, colClasses=c("integer")) closeAllConnections() res = t(apply(d, 1, function(x) ave(x,is.na(x),FUN=cumsum))) print(res) x1 x2 x3 x4 x5 x6 [1,] NA NA 3 7 NA NA [2,] 5 8 12 NA NA NA