Calculate the standard deviation of a strided array.
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Updated
Jul 1, 2025 - JavaScript
Calculate the standard deviation of a strided array.
Calculate the minimum absolute value of a double-precision floating-point strided array, ignoring NaN values.
Calculate the arithmetic mean of a single-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation.
Calculate the range of a single-precision floating-point strided array according to a mask.
Calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.
Calculate the minimum value of a strided array according to a mask, ignoring NaN values.
Calculate the arithmetic mean of a strided array, ignoring NaN values and using Welford's algorithm.
Compute the maximum value along one or more ndarray dimensions.
📊 Calculate the mean of an array while handling NaN values seamlessly for accurate statistical analysis in JavaScript and Node.js.
Calculate the maximum absolute value of a double-precision floating-point strided array.
Adds a constant to each single-precision floating-point strided array element and computes the sum using ordinary recursive summation.
Calculate the median value of a sorted strided array.
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
Calculate the arithmetic mean of a double-precision floating-point strided array using pairwise summation.
Calculate the median value of a sorted double-precision floating-point strided array.
Calculate the variance of a double-precision floating-point strided array using a one-pass textbook algorithm.
Calculate the maximum value of a double-precision floating-point strided array, ignoring NaN values.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using extended accumulation, and returning an extended precision result.
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