Statistical measures for finite or infinite data streams.

Statistical measures for finite or infinite data streams.

All operations use numerically stable floating point arithmetic. Measurements can be performed over the entire input stream or on a sliding window of fixed or variable size. Where possible, measures are computed online without buffering the input stream.

Includes:

• Summary: length, sum, powerSum

• Location: minimum, maximum, rawMoments, means, exponential smoothing

• Spread: range, variance, deviations

• Shape: skewness, kurtosis

• Sample statistics, resampling

• Probablity distribution: frequency, mode, histograms

• Transforms: Fast fourier transform

streamly-statistics

Statistical measures for finite or infinite data streams.

All operations use numerically stable floating point arithmetic. Measurements can be performed over the entire input stream or on a sliding window of fixed or variable size. Where possible, measures are computed online without buffering the input stream.

Includes:

• Summary: length, sum, powerSum
• Location: minimum, maximum, rawMoments, means, exponential smoothing
• Spread: range, variance, deviations
• Shape: skewness, kurtosis
• Sample statistics, resampling
• Probablity distribution: frequency, mode, histograms
• Transforms: Fast fourier transform.