When Mathematica plots a graph for you, it has to make many choices. It has to work out what the scales should be, where the function should be sampled, how the axes should ...

SignTest[data] tests whether the median of data is zero. SignTest[{data_1, data_2}] tests whether the median of data_1\[Dash] data_2 is zero.SignTest[dspec, \[Mu] 0] tests a ...

Mathematica provides built-in support for both programmatic and interactive image processing, fully integrated with Mathematica's powerful mathematical and algorithmic ...

This package contains functions for computing confidence intervals from data and p-values and confidence intervals for distributions related to the normal distribution. Given ...

RemoteServicesAgents[] returns a list of URLs for Lightweight Grid managers discovered on the local network.RemoteServicesAgents["agent"] returns a list of agent URLs known ...

SymbolicC supports working with C functions, as described in this section. First, you need to load the package. Now, you can create a C function with CFunction.

AdjacencyMatrix[g] gives the SparseArray object representing the graph g.AdjacencyMatrix[g, n] gives the SparseArray object representing the graph g, adding additional ...

DirectAgglomerate[m] constructs a cluster hierarchy based on the distance or dissimilarity matrix m.DirectAgglomerate[m, list] associates the elements of list with the rows ...

While the default settings for plots created in Mathematica are sufficient in most cases, nearly every aspect of plots is customizable. In addition to letting you change the ...

NDSolve solves a differential equation numerically. It returns solutions in a form that can be readily used in many different ways. One typical use would be to produce a plot ...