similar to: R command history -- can it be like Matlab's?

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 everyone, I was just wondering if there is an equivalent in R to the shortcut "Ans" in MatLab whereby I can use the previous result for the current command? This could save a lot of time when hacking in R itself, not from an editor. Thanks, Stephane [[alternative HTML version deleted]]

Hi all, I am not sure if this feature exists in the R-console command line prompt: In Matlab, if I want to enter a command which is similar to what I have entered before, I can enter a few prefix, then press "->", the previous command that matches with this prefix will then appear on this command line, and it saves a lot of our time. For example: > abline(lm(new~old)) >

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 all, Are there any plans to add more functionality to command-line editing and history editing on the command line? In MATLAB (I know, comparisons are odious ...), you can type "p" and up-arrow on the command line and scroll through the recently entered commands beginning with "p". This is a very useful feature and something that I believe is not replicated in R. Please

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

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

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,

I can't for the life of me figure out how to get the roots for this simple (but sovable only iteratively) equation in R: x = z*(1-(1-2/z)^y where x and y are known, and z is unknown. In Matlab, this amounts to: [my.solution] = solve('x = z*(1-(1-2/z)^y') my.solution.real = solution(y-1,y) % bottom line displays non-imaginary solution (last element) Obviously, I'm deeply

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

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

Dear all, I very often use the R function "apply", for speedup purposes. I am now also using MATLAB, and would like to use the same kind of function. I have already asked MATLAB people, and the answer is : "vectorize"... but of course, this is not always possible. So, instead of using a FOR loop all the time, I tried using the bsxfun. So you R people, who might also use MATLAB,

Dear all; I'm kind of confused with the results obtained using the ginv function from package MASS and pinv function from Matlab. Accroding to the documentation both functions performs a Moore-Penrose generalized inverse of a matrix X. The problem is when I change the tolerance value, say to 1E-3. Here is some output from ginv 195.2674402 235.6758714 335.0830253 8.977515484 -291.7798965

My university provides me with a powerful course management system for the courses that I teach. Among other things I can create a wiki for the course, which is very convenient for cross-linking different bits of the course. Naturally I use R extensively in my teaching and I want to incorporate R code, output and graphics in such a wiki. If I were producing LaTeX sources instead of HTML sources

hi, Just a very simple question: is there an R equivalent to the matlab command find(X) which returns the indices of vector X that store non-zero elements? e.g. > find( [1 0 0 1 0]) ans = 1 4 so, in R, how do I do: ans <- rfind( c(1,0,0,1,0)) so that ans is the vector c(1,4) thanks, stephen -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help

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

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

Hi all, Suppose I have the following matrix which is a constant matrix I've copied from some other document: 1.2 3.4 1.4 ... 2.3 3.7 2.6 ... ... How do I make it into a matrix or array in R? What is the fastest way of initializing a constant matrix with this copy/pasted values? Thanks a lot! [[alternative HTML version deleted]]

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,