similar to: request for code

> 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

Hello! Is it posible to apply /cumsum()/ along the 3rd dimension of 3D array? Something like matrlab function - /cumsum (*A*,dim)/ which returns the cumulative sum of the elements along the dimension of *A* specified by scalar dim. Thanks in advance ?eljka -- View this message in context: http://r.789695.n4.nabble.com/cumsum-in-3d-arrays-tp4110470p4110470.html Sent from the R help mailing

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

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

Hello, I have a classification tree. I want to obtain a ROC curve for this test. What is the easiest way to obtain one? -Anjali --------------------------------- [[alternative HTML version deleted]]

Hi , Is there any inbuilt functions to check whether a substring is present in a string and give the result as boolean Thanks -- View this message in context: http://r.789695.n4.nabble.com/String-Manipulation-in-R-tp4633104.html Sent from the R help mailing list archive at Nabble.com.

Changing the vapply() behavior makes sense in principle. I analyzed the CRAN code base using the R parser and found 143 instances of calling vapply with USE.NAMES=FALSE. These would need to be inspected to understand the consequences of the change. For reference: /AzureML/R/datasets.R:226 /BBmisc/R/toRangeStr.R:33 /DBI/R/DBDriver.R:205 /Kmisc/R/str_rev.R:37 /Matrix/R/diagMatrix.R:98

Hello, I would like to run a correlation on values in a table that has 4 rows and 136 columns. However, I am only interested in correlating the values in alternating blocks of 15 columns. For example, I would like to correlate the values in row 1, columns 2-16:31-46:61-76:91-106 with values in row 2, columns 2-16:31-46:61-76:91-106. Is there a way to notate this in the cor command so that the

Hello, I am having trouble using "optim". I want to maximalise a function to its parameters [kind of like: univariate maximum likelihood estimation, but i wrote the likelihood function myself because of data issues ] When I try to optimize a function for only one parameter there is no problem: llik.expo<-function(x,lam){(length(x)*log(lam))-(length(x)*log(1-exp(-1*lam*

Hi, Both vapply() and sapply() support the 'USE.NAMES' argument. According to the man page: USE.NAMES: logical; if ?TRUE? and if ?X? is character, use ?X? as ?names? for the result unless it had names already. But if 'X' has names already and 'USE.NAMES' is FALSE, it's not clear what will happen to the names. Are they going to propagate to the result

I have used the patch to build opus 1.1. Although I have not tried the latest git master, will try that. Will that work for armv7, armv7s and arm64? On Wed, Mar 26, 2014 at 11:01 PM, Martin Storsj? <martin at martin.st> wrote: > On Wed, 26 Mar 2014, Jonathan Lennox wrote: > > >> On Mar 26, 2014, at 7:55 AM, Peter Robinson <pbrobinson at gmail.com> wrote: >>

If my sample size is small is there a particular switch option that I need to use with t.test so that it calculates the t ratio correctly? Here is a dummy example? á =0.05 Mean pain reduction for A =27; B =31 and SD are SDA=9 SDB=12 drgA.p<-rnorm(5,27,9); drgB.p<-rnorm(5,31,12) t.test(drgA.p,drgB.p) # what do I need to give as additional parameter here? I can do it manually but

If I have two vectors X<-1:10 Y<-1:5 When I combine them using cbind, the shorter one is repeated and both are made of the same length. Is there a methods that does this without duplicating the shorter one. I want to use this to store the data back to a file. Thanks ../Murli [[alternative HTML version deleted]]

Hi ..., How does one deploy Gluster on a clustered storage i.e. two server nodes with a common storage array? Say one has, two server nodes connected to a common storage array, that exports 2 LUNs visible to both nodes. [ Server 1 ]------[ Storage ]------[ Server 2 ] Each server node mount a single LUN, but in case one of the node fails, the other node takes over the LUN. [ Server 1