similar to: Does R have an equivalent for Matlab's cell array?

Hi I have to time series with a different time base. The first has only sporadic datapoints: 2011-02-01 15.29130 2011-02-08 17.60278 2011-02-15 17.99737 2011-02-22 25.43690 The other has a daily datapoint: 2011-02-01 342.34 2011-02-02 68.45 2011-02-03 130.47 2011-02-04 129.86 2011-02-05 81.98 2011-02-06 77.30 2011-02-07 81.38 2011-02-08 139.95 2011-02-09 124.40 ...etc. In Excel, it is fairly

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 Using the ggplot2 package, I would like to obtain a plot that contains two time series that have data points on different dates. For instance, one data frame looks like: date1, value1 2010-01-05, 2921.74 2010-01-08, 2703.89 2010-01-14, 3594.21 2010-01-20, 3659.22 The other data frame looks like date2, value2 2010-01-01, 285.85 2010-01-02, 229.20 2010-01-05, 333.91 2010-01-06, 338.27

  By any chance is there an R equivalent to MATLAB's "whos" command?   I tried searching R and R-seek, but didn't really come up with anything.    There are several items I would like to make sure are stored in the workspace and check their values.   Thank you again for your help and any feedback.     > ?workspace No documentation for 'workspace' in specified

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 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]]

Dear all I would like to have some data in the form of a 2-dimensional array (matrix) of lists, so that I can easily find the desired list object by indexing the structure by rows and columns. In matlab there exists a data type called "cell array": a matrix of "cells", which are composite objects very similar to R lists. I know that in R you can create 1-dimensional

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 have to admit I don't fully understand how MatLab's step() function works, but I'm learning that part. Can someone point me to equivalent&related functions in R? thanks Carl

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

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 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! I've just begun writing a program that searches for the minimum of a function with golden section search. In order to do this in a nice way I need a function that takes a function name and an argument and returns the function value for that argument, i .e just like Matlab's 'feval'. Is there any? Thanks before hand! Best regards, Fredrik Thuring, Codan Insurance A/S

Does R have a graphic command equivalent of MatLab Hold On ? I am trying to sabve on a pdf file a composite drawing. I first declare the canvas size, then I define the layout, finally I generate the 4 plots according to layout order. Eventually I close the pdf file (dev.off()). The resulting PDF file contains 2 pages. The first one shows only the layout. The second one shows the whole composite

Hi, I am very new to R so please excuse me if I am asking very obvious questions. I am trying to call a blackbox api function implemented in as a COM object from R. The function definition says that 1. if calling from VBA, the first parameter should be set to "Nothing" 2. if calling from matlab, the first parameter should be set to [] What should be the equivalent for above in R?.

In the process of moving a number of my scripts from MATLAB -> R, I've discovered that there is no 'pure' equivalent of MATLAB's cell arrays, which I use quite often. Basically, I create matrices (as a cell array) where each element of the matrix is itself a matrix (e.g., 2x2 cell array where each element of the array is another matrix). I pass these cell arrays to various

Hi all, I have been searching all sorts of documentation, reference cards, cheat sheets but can't find why R's crossprod(A, B) which is identical to A%*%B does not produce the same as Matlabs cross(A, B) Supposedly both calculate the cross product, and say so, or where do I go wrong? R is only doing sums in the crossprod however, as indicated by (z <- crossprod(1:4)) # = sum(1 +

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,

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