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The Fisher-Yates (aka Knuth) shuffle for Node.js, with seeding support
Return an integer corresponding to the unbiased exponent of a double-precision floating-point number.
- stdlib
- stdtypes
- base
- utilities
- utility
- utils
- util
- types
- type
- exponent
- unbiased
- bits
- floating-point
- float64
- View more
Calculate the variance of a strided array using a two-pass algorithm.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- variance
- var
- deviation
- dispersion
- sample variance
- unbiased
- stdev
- std
- View more
Calculate the variance of a strided array.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- variance
- var
- deviation
- dispersion
- sample variance
- unbiased
- stdev
- std
- View more
The Fisher-Yates (aka Knuth) shuffle for Browser and Node.js
Returns an integer corresponding to the unbiased exponent of a double-precision floating-point number.
- compute.io
- compute-io
- compute
- computation
- math.io
- math-io
- math
- mathematics
- exponent
- unbiased
- bits
- floating-point
- float64
- float
- View more
Calculate the standard deviation of a strided array using a two-pass algorithm.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- standard deviation
- variance
- var
- deviation
- dispersion
- spread
- sample standard deviation
- unbiased
- View more
Calculate the standard deviation of a strided array.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- standard deviation
- variance
- var
- deviation
- dispersion
- spread
- sample standard deviation
- unbiased
- View more
Shuffle the words in a string and optionally the letters in each word using the Fisher-Yates algorithm. Useful for creating test fixtures, benchmarking samples, etc.
- algorithm
- benchmarking
- combinatorics
- efficient
- equally
- finite
- fisher
- fixtures
- knuth
- letters
- permutation
- random
- randomly
- randomize
- View more
Calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- mean
- arithmetic mean
- average
- avg
- central tendency
- variance
- var
- deviation
- View more
Calculate the variance of a strided array ignoring NaN values and using a two-pass algorithm.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- variance
- var
- deviation
- dispersion
- sample variance
- unbiased
- stdev
- std
- View more
Calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- mean
- arithmetic mean
- average
- avg
- central tendency
- variance
- var
- deviation
- View more
Compute an unbiased sample variance incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- variance
- sample variance
- unbiased
- var
- dispersion
- standard deviation
- stdev
- central tendency
- View more
Calculate the mean and standard deviation of a double-precision floating-point strided array.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- mean
- arithmetic mean
- average
- avg
- central tendency
- variance
- var
- deviation
- View more
Calculate the variance of a double-precision floating-point strided array using a two-pass algorithm.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- variance
- var
- deviation
- dispersion
- sample variance
- unbiased
- stdev
- std
- View more
Calculate the variance of a strided array ignoring NaN values and using Welford's algorithm.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- variance
- var
- deviation
- dispersion
- sample variance
- unbiased
- stdev
- std
- View more
Calculate the variance of a strided array using Welford's algorithm.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- variance
- var
- deviation
- dispersion
- sample variance
- unbiased
- stdev
- std
- View more
Calculate the variance of a double-precision floating-point strided array using Welford's algorithm.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- variance
- var
- deviation
- dispersion
- sample variance
- unbiased
- stdev
- std
- View more
Calculate the variance of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- variance
- var
- deviation
- dispersion
- sample variance
- unbiased
- stdev
- std
- View more
Compute a moving sample Pearson product-moment correlation coefficient incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- covariance
- sample covariance
- variance
- unbiased
- var
- correlation
- corr
- pcorr
- View more