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Round a numeric value to the nearest number toward zero with
n
significant figures.
To use in Observable,
truncsd = require( 'https://cdn.jsdelivr.net/gh/stdlib-js/math-base-special-truncsd@umd/browser.js' )
To vendor stdlib functionality and avoid installing dependency trees for Node.js, you can use the UMD server build:
var truncsd = require( 'path/to/vendor/umd/math-base-special-truncsd/index.js' )
To include the bundle in a webpage,
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/math-base-special-truncsd@umd/browser.js"></script>
If no recognized module system is present, access bundle contents via the global scope:
<script type="text/javascript">
(function () {
window.truncsd;
})();
</script>
Rounds a numeric
value to the nearest number
toward zero with n
significant figures.
var v = truncsd( 3.141592653589793, 5, 10 );
// returns 3.1415
v = truncsd( 3.141592653589793, 1, 10 );
// returns 3.0
v = truncsd( 12368.0, 2, 10 );
// returns 12000.0
v = truncsd( 0.0313, 2, 2 );
// returns 0.03125
<!DOCTYPE html>
<html lang="en">
<body>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/random-base-randu@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/math-base-special-truncsd@umd/browser.js"></script>
<script type="text/javascript">
(function () {
var x;
var y;
var i;
for ( i = 0; i < 100; i++ ) {
x = (randu()*10000.0) - 5000.0;
y = truncsd( x, 5, 10 );
console.log( 'x: %d. Rounded: %d.', x, y );
}
})();
</script>
</body>
</html>
@stdlib/math-base/special/ceilsd
: round a numeric value to the nearest number toward positive infinity with N significant figures.@stdlib/math-base/special/floorsd
: round a numeric value to the nearest number toward negative infinity with N significant figures.@stdlib/math-base/special/roundsd
: round a numeric value to the nearest number with N significant figures.@stdlib/math-base/special/trunc
: round a double-precision floating-point number toward zero.
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.
See LICENSE.
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