Invoke Error Dispatch Exception Object Is Static Operation Not Allowed

toolboxes, and other File Exchange content using Add-On Explorer in MATLAB. » Watch video Highlights from MATLAB R-link closeR(handle)CLOSER Close connection to R server process evalR(command,noreturn)EVALR Run an R command. getRdata(varname)GETRDATA Copies an R variable to MATLAB. openROPENR Connect to an R server process. putRdata(varname,data)PUTRDATA Copies MATLAB data to an R variable. Contents.mR Connectivity Tools Rdemo.mConnecting MATLAB to R View all files Join the 15-year community celebration. Play games and win prizes! » Learn more 4.54054 4.5 | 39 ratings Rate this file 97 Downloads (last 30 days) File Size: 129 KB File ID: #5051 Version: 1.1.0.1 MATLAB R-link by Robert Henson Robert Henson (view profile) 3 files 158 downloads 4.56113 01 Jun 2004 (Updated 01 Sep 2016) Functions for calling the statistical package R from within MATLAB. | Watch this File File Information Description A COM based interface that allows you to call R functions from within MATLAB. The functions are: openR - Connect to an R server process. evalR - Run an R command. getRdata - Copies an R variable to MATLAB. putRdata - Copies MATLAB data to an R variable. closeR - Close connection to R server process. Rdemo - An example of using R from withing MATLAB. Acknowledgements This file inspired Mat Ex Matlab Extremes, Save R, Kaplan Meier For Right And/Or Left And/Or Interval Censored Data, and Subsynchronous Resonance. MATLAB release MATLAB 6.5 (R13) Other requirements Windows Only. You will need a local installation of R and you will also need to install the R-(D)COM interface from http://lib.stat.cmu.edu/R/CRAN/other-software.html or other CRAN mirror site. Tags for This File Please login to tag files. after several issues regarding statconnector i installed randfriprobabilityr cranrun it

by: [ date ] [ thread ] [ subject ] [ author ] Hi, I wish to use R (version 2.13.1)from within Matlab(ver R2009a) on windows XP plaform (on both 64 bit and 32 bit OS) . For this I have installed StatConnector (http://rcom.univie.ac.at/download/current/statconnDCOM.latest.exe) for calling R from within Matlab (R2009a) on Windows XP platform. I have added all the files of MATLAB_RLINK folder (downloaded from http://www.mathworks.com/matlabcentral/fileexchange/5051) into the defaultMatlab working path(D:\User\MATLAB) and also added the folder https://www.mathworks.com/matlabcentral/fileexchange/5051-matlab-r-link MATLAB_RLINK to the matlab path C:\Program Files\MATLAB\R2009a\toolbox . It seems that Matlab is able to connect to R however I am facing a problem while trying to call R functions from within Matlab. I have loaded all required libraries. Shown below is the sequence of commands tried in blue, outcomes in black and errors/unexpected/ undesired outcomes in https://stat.ethz.ch/pipermail/r-devel/2011-August/061859.html red colour, and my comments in black,italic after the command: >> [a b c] = openR a = 1 b = '' c = COM.StatConnectorSrv_StatConnector >> Rdemo b = 1 4 9 16 25 36 49 64 81 100 c = 2 5 10 17 26 37 50 65 82 101 I then tried running the Rdemo available on http://www.mathworks.com/matlabcentral/fx_files/5051/1/content/Rdemo.html evalR('demo("persp")') works well. Also the arithmetic functions all work well: a = 1:10; putRdata('a',a) b = evalR('a^2') evalR('b <- a^2'); evalR('c <- b + 1'); c = getRdata('c') However ‘Now copy the volcano data into MATLAB” section and all related sessions therefore don’t work. >> volcano = getRdata('volcano') volcano = [] >> size(volcano) ans = 0 0 >> surf(volcano); (see the attached figure:surf_volcano_output.jpg) It seems Matlab is able to read/get data from R. Other subsequent commands related to this section don’t work. I tried looking at the loaded libraries in R and in Matlab. In R everything works well, but doesn’t seem to be so in

here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the workings and policies of this site About Us Learn more about Stack Overflow the company http://stackoverflow.com/questions/8975720/regression-in-r-using-vectorization-and-matrices Business Learn more about hiring developers or posting ads with us Stack Overflow Questions Jobs Documentation Tags Users Badges Ask Question x Dismiss Join the Stack Overflow Community Stack Overflow is a community of 4.7 million programmers, just like you, helping each other. Join them; it only takes a minute: Sign up Regression in R using vectorization and matrices up vote 0 down vote favorite I have a vectorization Q in R using matrices. invoke error I have 2 Cols that need to be regressed against each using certain indices. Data is matrix_senttoR = [ ... 0.11 0.95 0.23 0.34 0.67 0.54 0.65 0.95 0.12 0.54 0.45 0.43 ] ; indices_forR = [ ... 1 1 1 2 2 2 ] ; Col1 in matrix is data for say MSFT and GOOG (3 rows each) and Col2 is the return from benchmark StkIndex, on corresponding dates. The data is in matrix invoke error dispatch format as it is sent from Matlab. I currently use slope <- by( data.frame(matrix_senttoR), indices_forR, FUN=function(x) {zyp.sen (X1~X2,data=x) $coeff[2] } ) betasFac <- sapply(slope , function(x) x+0) I'm using data.frame above as I could not use cbind(). If I use cbind() then Matlab gives an error as it doesn't understand that format of data. I'm running these commands from inside Matlab (http://www.mathworks.com/matlabcentral/fileexchange/5051). You can replace zyp (zyp.sen) with lm. BY is slow here (may be because of dataframes?). Is there a better way to do it? It takes 14secs+ for 150k rows of data. Can I instead use matrix-vectorization in R? Thanks. r matrix dataframe vectorization regression share|improve this question asked Jan 23 '12 at 17:16 Maddy 1,12793157 1 If you are just running a regression, why bother passing the code from MATLAB to R? MATLAB's regress function in the Stats toolbox will do the trick. –Richie Cotton Jan 23 '12 at 18:16 It is also a good idea to do some profiling on the code to see where the slowdown lies. You need to know how much time is taken up with by and how much with your modelling function, and how much time is spent passing data between MATLAB and R. –Richie Cotton Jan 23 '12 at 18:20 @Richie -> It is because I'