Wolfram Mathematica Documentation Center
DOCUMENTATION CENTER SEARCH
Mathematica > Data Manipulation > Numerical Data >
Mathematica > Data Manipulation > Statistics >
Mathematica > Mathematics and Algorithms > Statistics >
Data Transforms and Smoothing
Directly integrated into Mathematica's uniform architecture for handling lists of data is an array of highly optimized algorithms for transforming and smoothing datasets that can routinely involve millions of elements.
Rescale  ▪ Clip  ▪ Normalize  ▪ Standardize  ▪ Accumulate
    
MovingAverage — find the simple moving average with any span
ExponentialMovingAverage — find the exponential moving average with damping
MovingMedian — find the moving median with any span
    
Interpolation — find an interpolation of any order in any number of dimensions
    
Fit — linear least-squares fit
FindFit — find a constrained nonlinear fit to data
    
ListConvolve, ListCorrelate — convolve or correlate data with any kernel
CellularAutomaton — apply a cellular automaton rule in any number of dimensions
Fourier, InverseFourier — discrete Fourier transform and inverse
TUTORIALS »
MORE ABOUT
Ask a question about this page  |  Suggest an improvement  |  Leave a message for the team