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Or   (Built-in Mathematica Symbol)
e_1 || e_2 || ... is the logical OR function. It evaluates its arguments in order, giving True immediately if any of them are True, and False if they are all False.
Play   (Built-in Mathematica Symbol)
Play[f, {t, t_min, t_max}] creates an object that plays as a sound whose amplitude is given by f as a function of time t in seconds between t_min and t_max.
Basic Statistics   (Mathematica Tutorial)
Basic descriptive statistics operations. Given a list with n elements x_i, the mean Mean[list] is defined to be μ(x)OverscriptBox[x, _]∑x_i/n. The variance Variance[list] ...
Library Structure and Life Cycle   (Library Link Tutorial)
Wolfram LibraryLink allows dynamic libraries to be directly loaded into the Mathematica kernel so that functions in the libraries can be immediately called from Mathematica. ...
Function Approximations Package   (Function Approximations Package Tutorial)
This loads the package. Economized rational approximations. A Pad é approximation is very accurate near the center of expansion, but the error increases rapidly as you get ...
Statistics`NonlinearFit`   (Mathematica Compatibility Information)
NonlinearFit is replaced by FindFit. NonlinearRegress functionality is now available using the built-in function NonlinearModelFit.
MeanDifferenceCI   (Hypothesis Testing Package Symbol)
MeanDifferenceCI[list_1, list_2] gives a confidence interval for the difference between the population means estimated from list_1 and list_2.
OpenTruncate   (Polyhedron Operations Package Symbol)
OpenTruncate[expr] truncates each edge of each polygon in graphics expression expr without filling in with a polygon.OpenTruncate[expr, ratio] truncates to the specified ...
Truncate   (Polyhedron Operations Package Symbol)
Truncate[expr] truncates each edge of each polygon in graphics expression expr.Truncate[expr, ratio] truncates to the specified ratio of the edge length.
ParetoPlot   (Statistical Plots Package Symbol)
ParetoPlot[list] creates a Pareto plot from the frequencies of the elements in list.ParetoPlot[{{cat_1, freq_1}, {cat_2, freq_2}, ...}] creates a Pareto plot from categories ...
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