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RandomChoice   (Built-in Mathematica Symbol)
RandomChoice[{e_1, e_2, ...}] gives a pseudorandom choice of one of the e_i. RandomChoice[list, n] gives a list of n pseudorandom choices. RandomChoice[list, {n_1, n_2, ...}] ...
StreamStyle   (Built-in Mathematica Symbol)
StreamStyle is an option to StreamPlot, StreamDensityPlot, and related functions that determines the style to use for drawing streamlines.
TableAlignments   (Built-in Mathematica Symbol)
TableAlignments is an option for TableForm and MatrixForm which specifies how entries in each dimension should be aligned.
Developing an Import Converter   (Mathematica Tutorial)
Mathematica provides functions that allow users to write their own file format converters and integrate them with the Mathematica Import and Export framework. You can ...
Here is one way to get multiple minima: call NMinimize multiple times with different random seeds, which will cause different optimization paths to be taken. This defines a ...
The Structure of Cells   (Mathematica Tutorial)
Expressions corresponding to cells. Here is a notebook containing a text cell and a Mathematica input cell. Here are the expressions corresponding to these cells.
Summary of New Features in 7.0   (Mathematica Guide)
The introduction of Mathematica 6 in 2007 represented a revolutionary redefinition of Mathematica. Arriving only 18 months after Mathematica 6, Mathematica 7 represents ...
BarChart   (Built-in Mathematica Symbol)
BarChart[{y_1, y_2, ...}] makes a bar chart with bar lengths y_1, y_2, ....BarChart[{..., w_i[y_i, ...], ..., w_j[y_j, ...], ...}] makes a bar chart with bar features defined ...
Plot Diagnostics for Fitted Models   (Mathematica How To)
Diagnostics are an important part of analyzing models of data. Plots of residuals and leverage or influence measures provide valuable insight into whether assumptions of the ...
ListLinePlot   (Built-in Mathematica Symbol)
ListLinePlot[{y_1, y_2, ...}] plots a line through a list of values, assumed to correspond to x coordinates 1, 2, .... ListLinePlot[{{x_1, y_1}, {x_2, y_2}, ...}] plots a ...
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