DiscretePlot (Built-in Mathematica Symbol)

DiscretePlot[expr, {n, n_max}] generates a plot of the values of expr when n runs from 1 to n_max.DiscretePlot[expr, {n, n_min, n_max}] generates a plot of the values of expr ...

ANOVA (ANOVA Package Symbol)

ANOVA[data] performs a one-way analysis of variance.ANOVA[data, model, vars] performs an analysis of variance for model as a function of the categorical variables vars.

Create Graphics with Spline Primitives (Mathematica How To)

Mathematica provides fully integrated spline graphics primitives, such as Bézier curves, B-spline curves, and B-spline surfaces. The spline primitives support a full range of ...

AdjacencyMatrix (Built-in Mathematica Symbol)

AdjacencyMatrix[g] gives the vertex\[Dash]vertex adjacency matrix of the graph g.

AlgebraicNumber (Built-in Mathematica Symbol)

AlgebraicNumber[\[Theta], {c_0, c_1, ..., c_n}] represents the algebraic number in the field \[DoubleStruckCapitalQ][\[Theta]] given by c_0 + c_1 \[Theta] + ... + c_n ...

ArrayFlatten (Built-in Mathematica Symbol)

ArrayFlatten[{{m_11, m_12, ...}, {m_21, m_22, ...}, ...}] creates a single flattened matrix from a matrix of matrices m i j. ArrayFlatten[a, r] flattens out r pairs of levels ...

CauchyDistribution (Built-in Mathematica Symbol)

CauchyDistribution[a, b] represents a Cauchy distribution with location parameter a and scale parameter b.

DesignMatrix (Built-in Mathematica Symbol)

DesignMatrix[{{x_11, x_12, ..., y_1}, {x_21, x_22, ..., y_2}, ...}, {f_1, f_2, ...}, {x_1, x_2, ...}] constructs the design matrix for the linear model \[Beta]_0 + \[Beta]_1 ...

Fit (Built-in Mathematica Symbol)

Fit[data, funs, vars] finds a least-squares fit to a list of data as a linear combination of the functions funs of variables vars.

Greater (Built-in Mathematica Symbol)

x > y yields True if x is determined to be greater than y. x_1 > x_2 > x_3 yields True if the x_i form a strictly decreasing sequence.