Mathematica 8 adds a number of new areas for visualization, including statistical, financial, wavelet, and control-related visualizations. These areas all provide a high ...
ScalingFunctions is an option for BarChart, Histogram, and other charting functions that specifies what scaling functions should be used.
Cone
(Built-in Mathematica Symbol) Cone[{{x_1, y_1, z_1}, {x_2, y_2, z_2}}, r] represents a cone with a base of radius r centered at (x_1, y_1, z_1) and a tip at (x_2, y_2, z_2). Cone[{{x_1, y_1, z_1}, {x_2, ...
Cylinder[{{x_1, y_1, z_1}, {x_2, y_2, z_2}}, r] represents a cylinder of radius r around the line from (x_1, y_1, z_1) to (x_2, y_2, z_2). Cylinder[{{x_1, y_1, z_1}, {x_2, ...
Monte Carlo methods use randomly generated numbers or events to simulate random processes and estimate complicated results. For example, they are used to model financial ...
HistogramList[{x_1, x_2, ...}] gives a list of bins and histogram heights of the values x_i.HistogramList[{{x_1, y_1, ...}, {x_2, y_2, ...}, ...}] gives a list of bins and ...
SurvivalFunction[dist, x] gives the survival function for the symbolic distribution dist evaluated at x.SurvivalFunction[dist, {x_1, x_2, ...}] gives the multivariate ...
The release of Mathematica 6 in May 2007 represented a revolution in the development of Mathematica. Building on this revolution, Mathematica 7 not only greatly broadens and ...
SmoothHistogram3D[{{x_1, y_1}, {x_2, y_2}, ...}] plots a 3D smooth kernel histogram of the values {x_i, y_i}.SmoothHistogram3D[{{x_1, y_1}, {x_2, y_2}, ...}, espec] plots a ...
CDF
(Built-in Mathematica Symbol) CDF[dist, x] gives the cumulative distribution function for the symbolic distribution dist evaluated at x.CDF[dist, {x_1, x_2, ...}] gives the multivariate cumulative ...