ShapiroWilkTest (Built-in Mathematica Symbol)

ShapiroWilkTest[data] tests whether data is normally distributed using the Shapiro\[Dash]Wilk test.ShapiroWilkTest[data, " property"] returns the value of " property".

Restricting and Reserving Licenses (Mathematica Tutorial)

Restriction scripts can be very useful in managing sitewide installations of Mathematica. They can be used to prevent access to Mathematica by unauthorized users on the ...

.NET/Link User Guide (NETLink Overview)

Introduction Calling .NET from Mathematica Calling Mathematica from .NET

Import (Built-in Mathematica Symbol)

Import["file"] imports data from a file, returning a complete Mathematica version of it. Import["file", elements] imports the specified elements from a file.Import["http:// ...

General Graph Drawing (Mathematica Tutorial)

GraphPlot and GraphPlot3D calculate and plot a visually appealing 2D/3D layout of a graph. The functions are designed to work with very large graphs and handle both connected ...

ParametricPlot (Built-in Mathematica Symbol)

ParametricPlot[{f_x, f_y}, {u, u_min, u_max}] generates a parametric plot of a curve with x and y coordinates f_x and f_y as a function of u. ParametricPlot[{{f_x, f_y}, ...

Launching and Connecting (Parallel Package Tutorial)

Mathematica can run parallel kernels in a number of different ways; locally on the same machine or remote on other machines connected in a network. Furthermore, the network ...

Numerical Nonlinear Local Optimization (Mathematica Tutorial)

Numerical algorithms for constrained nonlinear optimization can be broadly categorized into gradient-based methods and direct search methods. Gradient search methods use ...

GraphPlot (Built-in Mathematica Symbol)

GraphPlot[{v i 1 -> v j 1, v i 2 -> v j 2, ...}] generates a plot of the graph in which vertex v_ik is connected to vertex v_jk.GraphPlot[{{v i 1 -> v j 1, lbl_1}, ...}] ...

SmoothHistogram (Built-in Mathematica Symbol)

SmoothHistogram[{x_1, x_2, ...}] plots a smooth kernel histogram of the values x_i.SmoothHistogram[{x_1, x_2, ...}, espec] plots a smooth kernel histogram with estimator ...