Compute the mean and standard deviation of a one-dimensional double-precision floating-point ndarray.
JavaScript
0
0
Apache License 2.0
This project provides a function to compute the arithmetic mean and standard deviation of a one-dimensional double-precision floating-point ndarray. It is part of stdlib, a JavaScript standard library focused on numerical and scientific computing, and is intended for developers working with numerical data analysis in JavaScript environments.
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Support the dependencies of stdlib-js/stats-base-ndarray-dmeanstdev
Return the underlying data buffer of a provided ndarray.
Convert an ndarray-like object to a scalar value.
Return the size (i.e., number of elements) of a specified dimension for a provided ndarray.
Return the index offset specifying the underlying buffer index of the first iterated ndarray element.
Return the stride along a specified dimension for a provided ndarray.
Calculate the mean and standard deviation of a double-precision floating-point strided array.
stdlib TypeScript type declarations.
Float64Array.
Test if a double-precision floating-point numeric value is NaN.
Exponential function.
Compute the principal square root of a double-precision floating-point number.
Base multidimensional array.
Create a zero-filled ndarray having a specified shape and data type.
Convert a scalar value to a zero-dimensional ndarray.
Convert an ndarray to a generic array.
Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Insert supplied variable values into a format string.
tap-producing test harness for node and browsers
Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests and browser tests. Built for scale
Minimal TAP output formatter.
Benchmark harness.
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