The module "mat2groups" of the Mastrave modelling library
Copyright and license notice of the function mat2groups
Copyright © 2005,2006,2007,2008,2009,2010,2011 Daniele de Rigo
The file mat2groups.m is part of Mastrave.
Mastrave is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
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Function declaration
groups = mat2groups( matrix , groups_length , mode = '--none' )
Description
Returns a sparse matrix groups whose nonzeros elements are the elements of the input argument matrix . groups has an amount of columns equal to the number of elements of the vector of non-negative integers groups_length . Each column of groups has an amount of rows equal to the corresponding element of groups_length . Depending on the value of mode , the elements of each groups column may be in the same order of the corresponding elements of matrix (default behaviour), or may be ordered in ascending or descending order.
Input arguments
matrix ::numeric:: Matrix of numbers. groups_length ::natural:: Vector containing the desired length of each group in which matrix has to be splitted. mode ::string:: Direction in which each column of the cell-array groups will be sorted. Valid modes are: mode │ meaning ──────────────┼─────────────────────────────────────── 'none' │ Leave the elements of groups in '--none' │ the same order of those of matrix : (default) │ nonzeros( groups ) == matrix (:) . ──────────────┼─────────────────────────────────────── 'ascend' │ Sort in ascending order. '--ascend' │ ──────────────┼─────────────────────────────────────── 'descend' │ Sort in descending order. '--descend' │
Example of usage
% Basic conversion n_elems = [2 0 3 4 0 0 5 3 ] data = randn( 1, sum(n_elems) ) sp_data = mat2groups( data, n_elems ); full( sp_data ) all( nonzeros(sp_data) == data(:) ) % Adding sort for no-empty elements sp_data = mat2groups( data, n_elems, '--descend' ); full( sp_data ) sp_data = mat2groups( data, n_elems, '--ascend' ); full( sp_data ) % Difference between mat2groups and score [rev_id, sorted_data, sort_id] = score( sp_data , '--ascend' ); full( sorted_data )
See also: mat2multi, multi2mat Keywords: matrices, sparse matrices Version: 0.5.1
Support
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