@stdlib/datasets-herndon-venus-semidiameters
TypeScript icon, indicating that this package has built-in type declarations

0.2.1 • Public • Published
About stdlib...

We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.

The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.

When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.

To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!

Venus Semidiameters

NPM version Build Status Coverage Status

Fifteen observations of the vertical semidiameter of Venus, made by Lieutenant Herndon, with the meridian circle at Washington, in the year 1846.

Herndon's observations are a classic dataset commonly used in examples demonstrating outlier detection.

Installation

npm install @stdlib/datasets-herndon-venus-semidiameters

Usage

var data = require( '@stdlib/datasets-herndon-venus-semidiameters' );

data()

Returns fifteen observations of the vertical semidiameter of Venus, made by Lieutenant Herndon, with the meridian circle at Washington, in the year 1846.

var d = data();
// returns [ -0.30, -0.44, ..., 0.39, 0.10 ]

Examples

var incrgrubbs = require( '@stdlib/stats-incr-grubbs' );
var data = require( '@stdlib/datasets-herndon-venus-semidiameters' );

var opts;
var acc;
var d;
var i;

// Get the data:
d = data();

// Create a new accumulator for detecting an outlier using Grubbs' test:
opts = {
    'init': d.length
};
acc = incrgrubbs( opts );

// Update the accumulator...
for ( i = 0; i < d.length; i++ ) {
    acc( d[ i ] );
}

// Print the test results:
console.log( acc().print() );

References

  • Chauvenet, William. 1868. A Manual of Spherical and Practical Astronomy. 5th ed. Vol. 5. London, England: Trübner & Co.
  • Grubbs, Frank E. 1950. "Sample Criteria for Testing Outlying Observations." The Annals of Mathematical Statistics 21 (1). The Institute of Mathematical Statistics: 27–58. doi:10.1214/aoms/1177729885.
  • Grubbs, Frank E. 1969. "Procedures for Detecting Outlying Observations in Samples." Technometrics 11 (1). Taylor & Francis: 1–21. doi:10.1080/00401706.1969.10490657.
  • Tietjen, Gary L., and Roger H. Moore. 1972. "Some Grubbs-Type Statistics for the Detection of Several Outliers." Technometrics 14 (3). Taylor & Francis: 583–97. doi:10.1080/00401706.1972.10488948.

License

The data files (databases) are licensed under an Open Data Commons Public Domain Dedication & License 1.0 and their contents are licensed under Creative Commons Zero v1.0 Universal. The software is licensed under Apache License, Version 2.0.

See Also


Notice

This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.

Community

Chat


Copyright

Copyright © 2016-2024. The Stdlib Authors.

Package Sidebar

Install

npm i @stdlib/datasets-herndon-venus-semidiameters

Homepage

stdlib.io

Weekly Downloads

10

Version

0.2.1

License

Apache-2.0

Unpacked Size

53.3 kB

Total Files

15

Last publish

Collaborators

  • stdlib-bot
  • kgryte
  • planeshifter
  • rreusser