similar to: can I call user-created functions without source() ?

I'd like to develop a simple library in R in which to save my particular functions. I have read the manual on "Writing R Extensions" but it's too difficult. Someone could help me? I want only save my personal function (recorded in R-code, not in C) in "myLibrary" and I want to call it with: >library (myLibrary). After this, the functions should be available

https://bugzilla.samba.org/show_bug.cgi?id=8666 Summary: --debug=all9 fail Product: rsync Version: 3.1.0 Platform: All OS/Version: All Status: NEW Severity: normal Priority: P5 Component: core AssignedTo: wayned at samba.org ReportedBy: chris at onthe.net.au QAContact: rsync-qa at

Hello, I'm new to R and I'd like to dynamically assign names to the entries of a list. The situation is: I load several ascii-files from a folder. The data shall be stored within the list structure, where the file names are assigned to the list entries. > flist $file1.txt [1] 1.0 1.2 1.4 1.6 1.8 2.0... $file2.txt [1] 1.0 1.2 1.4 1.6 1.8 2.0... That's what I would

I submit the following matrix to both MATLAB and R x= 0.133 0.254 -0.214 0.116 0.254 0.623 -0.674 0.139 -0.214 -0.674 0.910 0.011 0.116 0.139 0.011 0.180 MATLAB's inv(x) provides the following 137.21 -50.68 -4.70 -46.42 -120.71 27.28 -8.94 62.19 -58.15 6.93 -7.89 36.94 8.35 11.17 10.42 -14.82 R's solve(x) provides: 261.94 116.22 150.92 -267.78 116.22 344.30 286.68

I'm slowly moving my statistical analysis from Matlab to R, and find myself missing two features: a) How do I mimic Matlab's 'hold on'? (I want to show several plots together, when I type two plots one after the other the second overwrites the first) b) How do I mimic Matlab's 'axis'? (after drawing my plots I want to zoom on specific parts- for example, x=0:5,

Sorry if these questions have been asked recently--I'm new to this list. I'm primarily a Matlab user who is attempting to learn R and I'm searching for possible equivalents of commands that I found very handy in Matlab. So that I don't seem ungrateful to those who may answer, I HAVE determined ways to carry out these processes in 'brute force' sorts of ways in R code,

Is there any way to read these files (standard .mat files, created by matlab version 7 onwards are compressed)? I know that R.matlab doesn't read them (it even says in the file MatlabServer.m "Matlab v7 saves compressed files, which is not recognized by R.matlab's readMat()" (lines 47-8)). I know I should be able to make R call Matlab and transfer data (not that I managed to

Dear all, I have several files with Matlab code, which I am translating to R. For the zero-level approach, I took the very old shell script from R-help archives, which has made some obvious leg-work such as replacement of "=" with "<-". Now I am translating indexing, matrix operations and function call using this table http://37mm.no/mpy/octave-r.html The problem is, I

Hi all, I am really new to the R language. I am a long time Matlab and C++ user and I was "forced" to learn R because I am taking a statistics class. I am seeking to reduce the learning curve to as smooth as possible. Are there any addon/plug-in features that can reduce the learning curve, for example, the following features can be very helpful for new learners: 1. Matlab-like

Hi there! Still struggling to translate Matlab code into R's tsDyn package. Here is my question: Is there in R an equivalent function to Matlab's prctile()? To the moment I thought it was quantile(), but I just realized I was wrong. The definition of the Matlab function: prctile Percentiles of a sample SyntaxY = prctile(X,p) Description Y = prctile(X,p) calculates a value that is

Hi all, I'm trying to learn R after years of Matlab's experience. Here is an issue I couldn't solve today. Consider the following piece of code (written by memory): for(i in 1:n){ submat <- data[1:i,] C <- colSums(submat) } The problem is that at the first iteration, data[1:1,] reduces to a vector and colSums returns an error. This sounds really strange to me

Hi! I'm translating some code from Matlab to R and I found a problem. I need to translate Matlab's function 'lsqnonlin' (http://www-ccs.ucsd.edu/matlab/toolbox/optim/lsqnonlin.html) into R, and at the beginning I thought it would be the same as R's 'optim'. But then I looked at the definition of 'lsqnonlin' and I don't quite see how to make

Hi, I'm attending summer School at UCLA (IPAM) on "probabilistics models of cognition". I have been an R-user since v. 1.4.1, but was trained in the frequentist tradition (as most psychologists!). I found that all faculty here use matlab and Murphy's bayes net toolbox. I have not had the need to use matlab before, and would love to stick to R for graphics models and

Hi I have a time series of measurements: every 10 min. a value was logged. The data look like: 20100914 08:01 3.74 20100914 08:11 3.74 20100914 08:21 3.71 20100914 08:31 4.39 20100914 08:41 3.74 This data spans several months. I would like to group the data per day. In Matlab it is fairly easy to obtain a cell array, of which the first column contains the date of each

Hello I am new to R and I need to convert some dates (numeric format by matlab) to actual dates in R. For instance, Matlab -> 730456 -> >> datestr(730456) ans = 02-Dec-1999 R - > library(zoo) > as.Date(730456) [1] "3969-12-03" I don't not mind the output format but it needs to be right. Many thanks Ed

Hi, I'm having a problem converting a Matlab program into R. The R code works almost all the time, but about 4% of the time R's optim function gets stuck on a local minimum whereas matlab's fminsearch function does not (or at least fminsearch finds a better minimum than optim). My understanding is that both functions default to Nelder-Mead optimization, but what's different about

Hello all, A colleague at work set me the challenge to convert some MATLAB code into R, to see which is faster. We'd seen that benchmark comparing MATLAB 6.5 to R1.90 (and others), and so I thought that I should be able to get roughly comparable speeds. The code has lots of multiplications of matrixes, transposes, and MATLAB's "repmat". I did the code conversion, and R was about

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 R experts, I have a Matlab code which I am translating to R in order to examine and enhance it. First of all, I need to reproduce in R the results which were already obtained in Matlab (to make sure that everything is correct). There are some matrix manipulations and '\' operation among them in the code. I have the following data frame > ABS.df Pro syn

I was wondering if there was an R equivalent to the two phased approach that MATLAB uses in performing the Kmeans algorithm. If not is there away that I can determine if the kmeans in R and the kmeans in MATLAB are essentially giving me the same clustering information within a small amount of error? -- View this message in context: