One of the most basic features of GUIKit is loading and executing an existing user interface application. This can be accomplished in one step in either a modal or modeless ...
Finding memory usage. Particularly for symbolic computations, memory is usually the primary resource which limits the size of computations you can do. If a computation runs ...
ProbabilityScalePlot[{x_1, x_2, ...}] generates a normal probability plot of the samples x_i. ProbabilityScalePlot[{x_1, x_2, ...}, " dist"] generates a probability plot ...
Dynamic behavior is added to a GUIKit user interface by executing Mathematica code. This lets one part of the definition interact with another, for example, specifying the ...
CellularAutomaton[rule, init, t] generates a list representing the evolution of the cellular automaton with the specified rule from initial condition init for t steps. ...
Using the objects described in "Introduction to Patterns", you can set up patterns for many kinds of expressions. In all cases, you must remember that the patterns must ...
Diagnostics are an important part of analyzing models of data. Plots of residuals and leverage or influence measures provide valuable insight into whether assumptions of the ...
NFourierSeries[expr, t, n] gives a numerical approximation to the order n Fourier exponential series expansion of expr, where expr is a periodic function of t with period 2 ...
NFourierTrigSeries[expr, t, k] gives a numerical approximation to the order n Fourier trigonometric series expansion of expr, where expr is a periodic function of t with ...
DirectAgglomerate[m] constructs a cluster hierarchy based on the distance or dissimilarity matrix m.DirectAgglomerate[m, list] associates the elements of list with the rows ...