The module "series_cell2mat" of the Mastrave modelling library
Copyright © 2006,2007,2008,2009 Daniele de Rigo
The file series_cell2mat.m is part of Mastrave.
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[ x_cols , y_cols ] = series_cell2mat( x_series_cell , y_series_cell , sep )
Rearranges a set of data series whose monodimensional domain (independent variable) values are collected in x_series_cell and whose n -dimensional codomain ( n dependent variables) values are collected in y_series_cell . This utility may help to visualize complex data using the standard 2-D plot facilities. See the example for an intuitive introduction. The codomain set of data y_series_cell must be passed as a cell array of n_param matrices each of them representing an n -dimensional data series. All data series must have the same number of n_elem vectors of data (i.e each matrix must be composed by n_elem rows, each row being a row-vector of n columns; each column being a dimension of the codomain). The domain set of data x_series_cell can be passed as a cell array of n_param matrices each of them representing the domain values associated to the corresponding n -dimensional data series. Alternatively, x_series_cell can be passed as a cell array of n_param column vectors, so implying that each dimension of the data series shares a common codomain set of values. Cell-arrays having only one element (a matrix of n_elem rows and n columns, or a column vector of n_elem rows) can be passed too. Values will be replicated to fit the size of y_series_cell . If the domain or codomain data set is passed as matrix, it is regarded as the unique element of a cell-array. In case of multi-array elements, all dimensions beyond the second one are splitted in bidimensional slices and regarded as data matrices, each of them being an element of the cell-array.
x_series_cell and y_series_cell are rearranged to become matrices of
n_elem * n_param rows and n columns. If the optional input argument
sep is passed and its value is the string 'true', then each matrix element
of the data series will be terminated with a trailing row of nan values. In
this case the number of output matrices rows will be
n_elem * ( n_param + 1 ).
x_series_cell ::cellnumeric:: column vector, matrix or cell array of column vectors ── or matrices ── all having the same size. It collects the values of the mono-dimensional independent variable. y_series_cell ::cellnumeric:: matrix or cell array of matrices all having the same size. It collects the values of the n -dimensional dependent variables. sep ::string:: string to enable/disable the separation of each matrix with a row of nan values. Available categories are: sep value │ behaviour ────────────┼───────────────────────────────────────────── 'true' │ Add to each matrix element of the data │ series a trailing row of nan values ────────────┼───────────────────────────────────────────── 'false' │ Don't add any trailing row
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