DataSet Object Methods

In addition to the specific methods listed below, a number of standard MATLAB functions are overloaded for DataSet objects but otherwise work as documented for standard data types. The following methods operate on the underlying data field of a DataSet object only and have no effect on any other fields:

minus (-)

plus (+)

times (.*)

rdivide (./)

ldivide (.\)

double

single

To get help on any DataSet object method, use the command: help dataset/method where method is the name of the method for which you want help.

Methods Defined or Overloaded for DataSet Objects

cat - Generic concatenation of DataSet objects.

delsamps - Deletes or excludes the specified samples, rows, or other dimension from a DataSet object.

disp - Display summary of DataSet object contents.

explode - Extract all variables from a DataSet object.

get - Get field/property values from a DataSet object.

horzcat - Horizontal concatenation of DataSet objects.

isempty - Returns Boolean true if the DataSet object data field is empty.

length - Returns the length of the data field in a DataSet object.

ndims - Returns the number of dimensions of the data field in a DataSet object.

numel - Returns a value of 1 for any dataset object.

permute - Permute array dimensions of a DataSet object.

repmat - Replicate and tile a DataSet object.

set - Set field/property values for a DataSet object.

size - Returns the size of the data field in a DataSet object.

sortby - Sort a DataSet by given field, dim, and set.

sortcols - Sort columns of a DataSet.

sortrows - Sort rows of a DataSet.

squeeze - Removes singleton dimensions of a DataSet object.

subsasgn - Assign for DataSet objects using Structure and index notation.

subsref - Subindex for DataSet objects using Structure and index notation.

transpose - Performs a transpose (rows become columns and columns become rows) on a two-way DataSet object.

unique - Returns a DataSet object containing all the unique values from the input.

vertcat - Returns a DataSet object containing all the unique values from the input