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Combining Graphics   (Mathematica Guide)
The symbolic character of Mathematica graphics makes it straightforward to combine together different graphics constructs, both for presentation and interactive behavior—and ...
DistanceTransform   (Built-in Mathematica Symbol)
DistanceTransform[image] gives the distance transform of image, in which the value of each pixel is replaced by its distance to the nearest background ...
Ordering   (Built-in Mathematica Symbol)
Ordering[list] gives the positions in list at which each successive element of Sort[list] appears. Ordering[list, n] gives the positions in list at which the first n elements ...
RegionBinarize   (Built-in Mathematica Symbol)
RegionBinarize[image, marker, d] gives a binary version of image that includes the foreground pixels of marker and also connected regions whose pixel values are within a ...
Hypothesis Tests   (Mathematica Guide)
Hypothesis tests give quantitative answers to common questions, such as how good the fit is between data and a particular distribution, whether these distributions have the ...
GenomeLookup   (Built-in Mathematica Symbol)
GenomeLookup["seq"] returns the positions of exact matches for the DNA sequence seq on the reference human genome.GenomeLookup["seq", n] returns at most n matches.
The Option Inspector   (Mathematica Tutorial)
Many aspects of the Mathematica front end such as the styles of cells, the appearance of notebooks, or the parameters used in typesetting are controlled by options. For ...
Random Number Generation   (Mathematica Guide)
Based on original algorithms developed at Wolfram Research, Mathematica's core randomness generation is both highly efficient and of exceptional quality. Mathematica can ...
QuartileSkewness   (Built-in Mathematica Symbol)
QuartileSkewness[list] gives the coefficient of quartile skewness for the elements in list.QuartileSkewness[dist] gives the coefficient of quartile skewness for the symbolic ...
RandomImage   (Built-in Mathematica Symbol)
RandomImage[max, {w, h}] gives an image of dimensions {w, h} with pseudorandom pixel values generated from a uniform distribution in the range 0 to max.RandomImage[{min, ...
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