ListContourPlot[array] generates a contour plot from an array of height values. ListContourPlot[{{x_1, y_1, f_1}, {x_2, y_2, f_2}, ...}] generates a contour plot from values ...

Looping is a core concept in programming. Mathematica provides powerful primitives for specifying and controlling looping, not only in traditional procedural programming, but ...

StudentTDistribution[\[Nu]] represents a Student t distribution with \[Nu] degrees of freedom.StudentTDistribution[\[Mu], \[Sigma], \[Nu]] represents a Student t distribution ...

When Mathematica cannot give you an explicit result for an integral, it leaves the integral in a symbolic form. It is often useful to manipulate this symbolic form. ...

In Mathematica, graphs can be constructed in a variety of ways. They can be built from vertices and edges directly in a symbolic form. They can come from built-in curated ...

Mathematica notebooks include all the usual features of a top-quality word-processing system, plus many additional special capabilities. In all, there are over a thousand ...

$CharacterEncoding specifies the default raw character encoding to use for input and output functions.

Syntax of notation declarations. Notation takes both an external representation and an internal representation as arguments. Mathematica translates any input matching the ...

LogitModelFit[{y_1, y_2, ...}, {f_1, f_2, ...}, x] constructs a binomial logistic regression model of the form 1/(1 + E -(\[Beta]_0 + \[Beta]_1 f_1 + \[Beta]_2 f_2 + \ ...)) ...

ProbitModelFit[{y_1, y_2, ...}, {f_1, f_2, ...}, x] constructs a binomial probit regression model of the form 1/2 (1 + erf((\[Beta]_0 + \[Beta]_1 f_1 + \[Beta]_2 f_2 + \ ...