Please note that arrayfun isn't a vectorized solution as most certainly it uses loops behind-the-scenes and seems like mat2cell is using for loops inside its source code, so please do keep all these issues in mind. This seems to perform much better than with mat2cell in terms of performance. On the other hand, the 'permute' function runs quite slowly for larger arrays, especially multiway arrays. Now, another approach if you would like to preserve the cell format would be with arrayfun, assuming each cell of M to be a 4D numeric array - M = num_array(:,:,:,:,x),1:N,'Uniform',0) Learn more about speed, permute MATLAB Some functions to manipulate arrays, such as the 'reshape' function, seem to run in O(1). Some quick tests show that mat2cell would prove to be the bottleneck, so if you don't mind indexing into the intermediate numeric array variable num_array and use it's last dimension for an equivalent indexing into M, then this approach could be useful. M = squeeze(mat2cell(num_array,size_num_arr2c,ones(1,num_cells))) %// thus obtained numeric array from its first to the second last dimension %// Save the numeric array as a cell array with each block from The ToMatlab-package is exactly what I need, but sadly it has some flaws, e.g. Num_array = permute(reshape(num_array,size_num_arr),perm_dim) my question is a duplicate of : Is it possible to export the equations from Mathematica to MATLAB I did some symbolic calculations in Mathematica and want to transfer the result to Matlab. %// for indexing data from different cells ends up as the final dimension %// Reshape and permute the numeric array such that the index to be used %// Store data from input M into a vertically concatenated numeric array %// Dimensions array for permuting with the numeric array holding all data %// input cell array with the second dimension representing the index of The array produced has the same values as A but the order of the subscripts needed to access any particular element are rearranged as specified by ORDER. R does that by default unless you specify drop FALSE when you subset an array, e.g. I dont think you actually need an equivalent for permute.In the MATLAB script, permute appears to be simply dropping excess dimensions. It is also possible to perform exact tests, during which. The result can optionally be visualized using a histogram. It supports one- and two-tailed tests, and returns a p-value, the observed difference, and the effect size (Hedges g). %// Get size of the numeric array that will hold all of the data from the The matlab code uses the method permute: B PERMUTE (A,ORDER) rearranges the dimensions of A so that they are in the order specified by the vector ORDER. I believe I successfully replicated the MATLAB script in R. A permutation test (aka randomization test) for MATLAB, testing for a difference in means between two samples. If not, check the column for a non zero element, and permute rows if. This seems to work - num_cells = numel(M) %// Number of cells in input cell array Input the matrix, then use MATLABs built-in inv() command to get the inverse.
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