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 ...
In addition to importing ZIP files stored on your machine, Mathematica can also import ZIP files directly from a URL. In most cases, processing data in ZIP files is ...
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 ...
ActionMenu[name, {lbl_1 :> act_1, lbl_2 :> act_2, ...}] represents an action menu with label name and with items labeled lbl_i that evaluates the expression act_i if the ...
Supporting a large number of numerical integration methods for differential equations is a lot of work. In order to cut down on maintenance and duplication of code, common ...
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 ...