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Is there a way to generate a random number in a specified range with JavaScript ?
For example: a specified range from 1 to 6 were the random number could be either 1, 2, 3, 4, 5, or 6.
function randomIntFromInterval(min, max) { // min and max included
return Math.floor(Math.random() * (max - min + 1) + min)
}
const rndInt = randomIntFromInterval(1, 6)
console.log(rndInt)
What it does "extra" is it allows random intervals that do not start with 1.
So you can get a random number from 10 to 15 for example. Flexibility.
Important
The following code works only if the minimum value is `1`. It does not work for minimum values other than `1`.
If you wanted to get a random integer between 1 (and only 1) and 6, you would calculate:
const rndInt = Math.floor(Math.random() * 6) + 1
console.log(rndInt)
Where:
1 is the start number
6 is the number of possible results (1 + start (6) - end (1))
Math.random()
Returns an integer random number between min (included) and max (included):
function randomInteger(min, max) {
return Math.floor(Math.random() * (max - min + 1)) + min;
}
Or any random number between min (included) and max (not included):
function randomNumber(min, max) {
return Math.random() * (max - min) + min;
}
Useful examples (integers):
// 0 -> 10
Math.floor(Math.random() * 11);
// 1 -> 10
Math.floor(Math.random() * 10) + 1;
// 5 -> 20
Math.floor(Math.random() * 16) + 5;
// -10 -> (-2)
Math.floor(Math.random() * 9) - 10;
** And always nice to be reminded (Mozilla):
Math.random() does not provide cryptographically secure random
numbers. Do not use them for anything related to security. Use the Web
Crypto API instead, and more precisely the
window.crypto.getRandomValues() method.
Other solutions:
(Math.random() * 6 | 0) + 1
~~(Math.random() * 6) + 1
Try online
TL;DR
function generateRandomInteger(min, max) {
return Math.floor(min + Math.random()*(max - min + 1))
}
To get the random number
generateRandomInteger(-20, 20);
EXPLANATION BELOW
integer - A number which is not a fraction; a whole number
We need to get a random number , say X between min and max.
X, min and max are all integers
i.e
min <= X <= max
If we subtract min from the equation, this is equivalent to
0 <= (X - min) <= (max - min)
Now, lets multiply this with a random number r
which is
0 <= (X - min) * r <= (max - min) * r
Now, lets add back min to the equation
min <= min + (X - min) * r <= min + (max - min) * r
For, any given X, the above equation satisfies only when r has range of [0,1] For any other values of r the above equation is unsatisfied.
Learn more about ranges [x,y] or (x,y) here
Our next step is to find a function which always results in a value which has a range of [0,1]
Now, the range of r i.e [0,1] is very similar to Math.random() function in Javascript. Isn't it?
The Math.random() function returns a floating-point, pseudo-random
number in the range [0, 1); that is, from 0 (inclusive) up to but not
including 1 (exclusive)
Random Function using Math.random() 0 <= r < 1
Notice that in Math.random() left bound is inclusive and the right bound is exclusive. This means min + (max - min) * r will evaluate to having a range from [min, max)
To include our right bound i.e [min,max] we increase the right bound by 1 and floor the result.
function generateRandomInteger(min, max) {
return Math.floor(min + Math.random()*(max - min + 1))
}
To get the random number
generateRandomInteger(-20, 20);
Or, in Underscore
_.random(min, max)
var x = 6; // can be any number
var rand = Math.floor(Math.random()*x) + 1;
jsfiddle: https://jsfiddle.net/cyGwf/477/
Random Integer: to get a random integer between min and max, use the following code
function getRandomInteger(min, max) {
min = Math.ceil(min);
max = Math.floor(max);
return Math.floor(Math.random() * (max - min)) + min;
}
Random Floating Point Number: to get a random floating point number between min and max, use the following code
function getRandomFloat(min, max) {
return Math.random() * (max - min) + min;
}
Reference: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Math/random
Math is not my strong point, but I've been working on a project where I needed to generate a lot of random numbers between both positive and negative.
function randomBetween(min, max) {
if (min < 0) {
return min + Math.random() * (Math.abs(min)+max);
}else {
return min + Math.random() * max;
}
}
E.g
randomBetween(-10,15)//or..
randomBetween(10,20)//or...
randomBetween(-200,-100)
Of course, you can also add some validation to make sure you don't do this with anything other than numbers. Also make sure that min is always less than or equal to max.
Get a random integer between 0 and 400
let rand = Math.round(Math.random() * 400)
document.write(rand)
Get a random integer between 200 and 1500
let range = {min: 200, max: 1500}
let delta = range.max - range.min
const rand = Math.round(range.min + Math.random() * delta)
document.write(rand)
Using functions
function randBetween(min, max){
let delta = max - min
return Math.round(min + Math.random() * delta)
}
document.write(randBetween(10, 15));
// JavaScript ES6 arrow function
const randBetween = (min, max) => {
let delta = max - min
return Math.round(min + Math.random() * delta)
}
document.write(randBetween(10, 20))
I wrote more flexible function which can give you random number but not only integer.
function rand(min,max,interval)
{
if (typeof(interval)==='undefined') interval = 1;
var r = Math.floor(Math.random()*(max-min+interval)/interval);
return r*interval+min;
}
var a = rand(0,10); //can be 0, 1, 2 (...) 9, 10
var b = rand(4,6,0.1); //can be 4.0, 4.1, 4.2 (...) 5.9, 6.0
Fixed version.
ES6 / Arrow functions version based on Francis' code (i.e. the top answer):
const randomIntFromInterval = (min, max) => Math.floor(Math.random() * (max - min + 1) + min);
Example
Return a random number between 1 and 10:
Math.floor((Math.random() * 10) + 1);
The result could be:
3
Try yourself: here
--
or using lodash / undescore:
_.random(min, max)
Docs:
- lodash
- undescore
The top rated solution is not mathematically correct as same as comments under it -> Math.floor(Math.random() * 6) + 1.
Task: generate random number between 1 and 6.
Math.random() returns floating point number between 0 and 1 (like 0.344717274374 or 0.99341293123 for example), which we will use as a percentage, so Math.floor(Math.random() * 6) + 1 returns some percentage of 6 (max: 5, min: 0) and adds 1. The author got lucky that lower bound was 1., because percentage floor will "maximumly" return 5 which is less than 6 by 1, and that 1 will be added by lower bound 1.
The problems occurs when lower bound is greater than 1. For instance,
Task: generate random between 2 and 6.
(following author's logic)
Math.floor(Math.random() * 6) + 2, it is obviously seen that if we get 5 here -> Math.random() * 6 and then add 2, the outcome will be 7 which goes beyond the desired boundary of 6.
Another example,
Task: generate random between 10 and 12.
(following author's logic)
Math.floor(Math.random() * 12) + 10, (sorry for repeating) it is obvious that we are getting 0%-99% percent of number "12", which will go way beyond desired boundary of 12.
So, the correct logic is to take the difference between lower bound and upper bound add 1, and only then floor it (to substract 1, because Math.random() returns 0 - 0.99, so no way to get full upper bound, thats why we adding 1 to upper bound to get maximumly 99% of (upper bound + 1) and then we floor it to get rid of excess). Once we got the floored percentage of (difference + 1), we can add lower boundary to get the desired randomed number between 2 numbers.
The logic formula for that will be: Math.floor(Math.random() * ((up_boundary - low_boundary) + 1)) + 10.
P.s.: Even comments under the top-rated answer were incorrect, since people forgot to add 1 to the difference, meaning that they will never get the up boundary (yes it might be a case if they dont want to get it at all, but the requirenment was to include the upper boundary).
I was searching random number generator written in TypeScript and I have written this after reading all of the answers, hope It would work for TypeScript coders.
Rand(min: number, max: number): number {
return (Math.random() * (max - min + 1) | 0) + min;
}
Inspite of many answers and almost same result. I would like to add my answer and explain its working. Because it is important to understand its working rather than copy pasting one line code. Generating random numbers is nothing but simple maths.
CODE:
function getR(lower, upper) {
var percent = (Math.random() * 100);
// this will return number between 0-99 because Math.random returns decimal number from 0-0.9929292 something like that
//now you have a percentage, use it find out the number between your INTERVAL :upper-lower
var num = ((percent * (upper - lower) / 100));
//num will now have a number that falls in your INTERVAL simple maths
num += lower;
//add lower to make it fall in your INTERVAL
//but num is still in decimal
//use Math.floor>downward to its nearest integer you won't get upper value ever
//use Math.ceil>upward to its nearest integer upper value is possible
//Math.round>to its nearest integer 2.4>2 2.5>3 both lower and upper value possible
console.log(Math.floor(num), Math.ceil(num), Math.round(num));
}
Math.random() is fast and suitable for many purposes, but it's not appropriate if you need cryptographically-secure values (it's not secure), or if you need integers from a completely uniform unbiased distribution (the multiplication approach used in others answers produces certain values slightly more often than others).
In such cases, we can use crypto.getRandomValues() to generate secure integers, and reject any generated values that we can't map uniformly into the target range. This will be slower, but it shouldn't be significant unless you're generating extremely large numbers of values.
To clarify the biased distribution concern, consider the case where we want to generate a value between 1 and 5, but we have a random number generator that produces values between 1 and 16 (a 4-bit value). We want to have the same number of generated values mapping to each output value, but 16 does not evenly divide by 5: it leaves a remainder of 1. So we need to reject 1 of the possible generated values, and only continue when we get one of the 15 lesser values that can be uniformly mapped into our target range. Our behaviour could look like this pseudocode:
Generate a 4-bit integer in the range 1-16.
If we generated 1, 6, or 11 then output 1.
If we generated 2, 7, or 12 then output 2.
If we generated 3, 8, or 13 then output 3.
If we generated 4, 9, or 14 then output 4.
If we generated 5, 10, or 15 then output 5.
If we generated 16 then reject it and try again.
The following code uses similar logic, but generates a 32-bit integer instead, because that's the largest common integer size that can be represented by JavaScript's standard number type. (This could be modified to use BigInts if you need a larger range.) Regardless of the chosen range, the fraction of generated values that are rejected will always be less than 0.5, so the expected number of rejections will always be less than 1.0 and usually close to 0.0; you don't need to worry about it looping forever.
const randomInteger = (min, max) => {
const range = max - min;
const maxGeneratedValue = 0xFFFFFFFF;
const possibleResultValues = range + 1;
const possibleGeneratedValues = maxGeneratedValue + 1;
const remainder = possibleGeneratedValues % possibleResultValues;
const maxUnbiased = maxGeneratedValue - remainder;
if (!Number.isInteger(min) || !Number.isInteger(max) ||
max > Number.MAX_SAFE_INTEGER || min < Number.MIN_SAFE_INTEGER) {
throw new Error('Arguments must be safe integers.');
} else if (range > maxGeneratedValue) {
throw new Error(`Range of ${range} (from ${min} to ${max}) > ${maxGeneratedValue}.`);
} else if (max < min) {
throw new Error(`max (${max}) must be >= min (${min}).`);
} else if (min === max) {
return min;
}
let generated;
do {
generated = crypto.getRandomValues(new Uint32Array(1))[0];
} while (generated > maxUnbiased);
return min + (generated % possibleResultValues);
};
console.log(randomInteger(-8, 8)); // -2
console.log(randomInteger(0, 0)); // 0
console.log(randomInteger(0, 0xFFFFFFFF)); // 944450079
console.log(randomInteger(-1, 0xFFFFFFFF));
// Error: Range of 4294967296 covering -1 to 4294967295 is > 4294967295.
console.log(new Array(12).fill().map(n => randomInteger(8, 12)));
// [11, 8, 8, 11, 10, 8, 8, 12, 12, 12, 9, 9]
to return 1-6 like a dice basically,
return Math.round(Math.random() * 5 + 1);
Adding float with fixed precision version based on the int version in #Francisc's answer:
function randomFloatFromInterval (min, max, fractionDigits) {
const fractionMultiplier = Math.pow(10, fractionDigits)
return Math.round(
(Math.random() * (max - min) + min) * fractionMultiplier,
) / fractionMultiplier
}
so:
randomFloatFromInterval(1,3,4) // => 2.2679, 1.509, 1.8863, 2.9741, ...
and for int answer
randomFloatFromInterval(1,3,0) // => 1, 2, 3
Crypto-strong random integer number in range [a,b] (assumption: a < b )
let rand= (a,b)=> a+(b-a+1)*crypto.getRandomValues(new Uint32Array(1))[0]/2**32|0
console.log( rand(1,6) );
This function can generate a random integer number between (and including) min and max numbers:
function randomNumber(min, max) {
if (min > max) {
let temp = max;
max = min;
min = temp;
}
if (min <= 0) {
return Math.floor(Math.random() * (max + Math.abs(min) + 1)) + min;
} else {
return Math.floor(Math.random() * (max - min + 1)) + min;
}
}
Example:
randomNumber(-2, 3); // can be -2, -1, 0, 1, 2 and 3
randomNumber(-5, -2); // can be -5, -4, -3 and -2
randomNumber(0, 4); // can be 0, 1, 2, 3 and 4
randomNumber(4, 0); // can be 0, 1, 2, 3 and 4
Using random function, which can be reused.
function randomNum(min, max) {
return Math.floor(Math.random() * (max - min + 1)) + min;
}
randomNum(1, 6);
This should work:
const getRandomNum = (min, max) => Math.floor(Math.random() * (max - min + 1)) + min
If the starting number is 1, as in your example (1-6), you can use Math.ceil() method instead of Math.floor().
Math.ceil(Math.random() * 6)
instead of
Math.floor(Math.random() * 6) + 1
Let's not forget other useful Math methods.
This is about nine years late, but randojs.com makes this a simple one-liner:
rando(1, 6)
You just need to add this to the head of your html document, and you can do pretty much whatever you want with randomness easily. Random values from arrays, random jquery elements, random properties from objects, and even preventing repetitions if needed.
<script src="https://randojs.com/1.0.0.js"></script>
Try using:
function random(min, max) {
return Math.round((Math.random() *( Math.abs(max - min))) + min);
}
console.log(random(1, 6));
Short Answer: It's achievable using a simple array.
you can alternate within array elements.
This solution works even if your values are not consecutive. Values don't even have to be a number.
let array = [1, 2, 3, 4, 5, 6];
const randomValue = array[Math.floor(Math.random() * array.length)];
This simple function is handy and works in ANY cases (fully tested).
Also, the distribution of the results has been fully tested and is 100% correct.
function randomInteger(pMin = 1, pMax = 1_000_000_000)
//Author: Axel Gauffre.
//Here: https://stackoverflow.com/a/74636954/5171000
//Inspired by: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Math/random#getting_a_random_number_between_two_values
//
//This function RETURNS A RANDOM INTEGER between pMin (INCLUDED) and pMax (INCLUDED).
// - pMin and pMax should be integers.
// - HOWEVER, if pMin and/or pMax are FLOATS, they will be ROUNDED to the NEAREST integer.
// - NEGATIVE values ARE supported.
// - The ORDER of the 2 arguments has NO consequence: If pMin > pMax, then pMin and pMax will simply be SWAPPED.
// - If pMin is omitted, it will DEFAULT TO 1.
// - If pMax is omitted, it will DEFAULT TO 1 BILLION.
//
//This function works in ANY cases (fully tested).
//Also, the distribution of the results has been fully tested and is 100% correct.
{
pMin = Math.round(pMin);
pMax = Math.round(pMax);
if (pMax < pMin) { let t = pMin; pMin = pMax; pMax = t;}
return Math.floor(Math.random() * (pMax+1 - pMin) + pMin);
}
I discovered a great new way to do this using ES6 default parameters. It is very nifty since it allows either one argument or two arguments. Here it is:
function random(n, b = 0) {
return Math.random() * (b-n) + n;
}
This works for me and produces values like Python's random.randint standard library function:
function randint(min, max) {
return Math.round((Math.random() * Math.abs(max - min)) + min);
}
console.log("Random integer: " + randint(-5, 5));
I am writing a simple do...while statement using Javascript that's meant to look at the length of a decimal of a given input num and if the length of the decimal is greater than or equals to 1, to take the num and added it onto itself until the decimal length is equal to 0. Currently, it works for decimals with the length of 1, but anything greater, it stops.
The expected output, for example, when num is 8.75, should be 35, not 17.5.
The series should take 4 steps to reach 35.
8.75
17.5
26.25
35
Here's my code:
const num = 8.75;
var decimalLength = num.toString().split(".")[1].length;
let result = "";
let i = num;
do {
i = i + num;
result = result + num;
newLength = decimalLength;
} while (newLength < 0);
console.log(i);
You can use some fancy maths to get a more definitive answer that doesn't loop over and over again:
const num = 8.75;
var decimal = num % 1 //Decimal part
var decimalPlaces = num.toString().split(".")[1] ?.length || 0; //Get decimal places
//GCD function
const gcd = (x, y) => (!y ? x : gcd(y, x % y));
//GCD between decimal and 1, need to make it whole number to get multiplier, so multiply each with 10^[decimal places]
//Get what's remaining when divided by 10^[decimal places] as well, to see what to multiply by to get whole number
var multiplier = 10 ** decimalPlaces / gcd(10 ** decimalPlaces, decimal * 10 ** decimalPlaces)
//Use log change of base property to get value in power of 2
var outputExponent = Math.log(multiplier) / Math.log(2)
//Multiply number by multiplier
var outputValue = num * multiplier
console.log(outputExponent) //Power of 2 to multiply by to get whole number
console.log(outputValue) //The whole number itself
This version uses a recursive function and a tolerance to deal with floating point rounding errors.
const firstIntMultiple = (n, tol=1e-6, c = 1) =>
Math.abs(n * c - Math.floor(n * c)) < tol ? n * c : firstIntMultiple (n, tol, c + 1)
console .log (firstIntMultiple (8.75)) // 35/4
console .log (firstIntMultiple (8.333333333333334)) // 25/3
console .log (firstIntMultiple (14.058823529411764)) // 239/17
It finds the correct version by multiplication by successive integers instead of successive additions, but it's the same idea.
We can easily replace the recursive version by an iterative approach, which might be useful for numbers which don't have a good rational approximation. (Right now, passing Math.PI will run into recursion limits.)
That might look like this:
const firstIntMultiple = (n, tol=1e-6) => {
let c = 1;
while (Math.abs(n * c - Math.floor(n * c)) > tol) {
c += 1
}
return n * c
}
and for Math.PI, that would return 4272943.0000005495, the first multiple of pi that is within 1e-6 of an integer. And you can adjust the tolerance as needed.
Update -- an entirely different technique
Another technique would take advantage of the fact that continued fractions offer a straightforward way to find the best rational approximations to a number. We can use this to find the ten best rational approximations to pi, for instance like this:
bestApprox (Math.PI, 1, 10) .map (({n, d}) => `${n}/${d}`)
// => ["3/1", "22/7", "333/106", "355/113", "103993/33102", "104348/33215",
// "208341/66317", "312689/99532", "833719/265381", "1146408/364913"]
And then, using those approximations, we can find the first one that is within some small distance from our target value.
The code might look like this:
const contFrac = (n, d = 1, count = Infinity) =>
count < 1 || d == 0
? []
: [Math .floor (n / d)] .concat (contFrac (d, n % d, count - 1))
const bestApprox = (n, d = 1, c) =>
contFrac(n, d, c)
.reduce ((a, n, i) => [
...a,
{
n: a [i] .n + n * a [i + 1] .n,
d: a [i] .d + n * a [i + 1] .d
}
], [{n: 0, d: 1}, {n: 1, d: 0}])
.slice (2)
const firstIntMultiple = (x, ε = 1e-6) =>
bestApprox (x, 1)
.find (({n, d}, i, a) => i == a.length - 1 || Math.abs (n / d - x) < ε)
.n
console .log (firstIntMultiple (8.75)) // 35/4
console .log (firstIntMultiple (8.333333333333334)) // 25/3
console .log (firstIntMultiple (14.058823529411764)) // 239/17
console .log (firstIntMultiple (Math.PI)) // 353/113
console .log (firstIntMultiple (Math.PI, 1e-8)) // 103993/33102
I haven't tested for performance, but this should be reasonably good, especially for those number whose continued fractions contain large integers early. (pi for instance is <3; 7, 15, 1, 292,...> That 292 implies that 3 + (1 / (7 + (1 / (15 + 1 / 1)))) or 355 / 113 is an excellent approximation to pi, and in fact, it's good to six decimal places.
I don't know how helpful this is to the OP, but it shows that ancient math classes might one day come in handy!. ;-)
Update 2 - Now With More Explanation!
This version cleans up the issue in the second approach with small values, by checking not if the test value is within epsilon of the original value but if the ratio of the the test value to the original value is within epsilon of 1. It also has some minor clean-up and a smaller value for the default epsilon:
const contFrac = (n, d = 1, count = Infinity) =>
count < 1 || d == 0
? []
: [Math .floor (n / d)] .concat (contFrac (d, n % d, count - 1))
const bestApprox = (n, d = 1, count = Infinity) =>
contFrac(n, d, count)
.reduce ((a, n, i) => [
...a,
{
n: a [i] .n + n * a [i + 1] .n,
d: a [i] .d + n * a [i + 1] .d
}
], [{n: 0, d: 1}, {n: 1, d: 0}])
.slice (2)
const isClose = (x, y, ε) =>
y == 0 ? x < ε : (x / y > 1 - ε && x / y < 1 + ε)
const firstIntMultiple = (x, ε = 1e-8) =>
bestApprox (x, 1)
.find (({n, d}, i, a) => i == a.length - 1 || isClose (n / d, x, ε))
.n
console .log (firstIntMultiple (8.75)) // 35/4
console .log (firstIntMultiple (8.333333333333334)) // 25/3
console .log (firstIntMultiple (14.058823529411764)) // 239/17
console .log (firstIntMultiple (Math.PI)) // 103993/33102
console .log (firstIntMultiple (Math.PI, 1e-6)) // 353/113
console .log (firstIntMultiple (13.000000221)) // 58823532/4524887
console .log (firstIntMultiple (1.0000003333)) // 3000301/3000300
console .log (firstIntMultiple (1234/987654321)) // 6/4802209
.as-console-wrapper {min-height: 100% !important; top: 0}
Explanation
The main function here is still firstIntMultiple, and it's fairly simple, just searching the results of bestApprox for a rational approximation that is close enough to our target number and then returning the numerator of that result. "Close enough" is determined by isClose, which checks if the ratio of the two numbers is between 1 - ε and 1 + ε, where ε is an optional parameter that defaults to 1e-8.
So the question is how bestApprox works. For that, we need to discuss Continued Fractions. I cannot do them justice here, but hopefully I can describe enough to give a feel for them.
Here is a repeating infinite simple continued fraction:
1
1 + ---------------------------------
1
2 + ----------------------------
1
2 + ---------------------
1
2 + ---------------
1
2 + ---------
2 + ...
It's a continued fraction because we keep nesting fractions in the denominators of other fractions. It's infinite because... well because it continues on infinitely - in an obvious manner. It's simple because all
the numerators are 1s.
It's not hard to show with a little algebra that this represents the square root of 2.
This will usually be abbreviated with a notation like:
<1; 2, 2, 2, 2, ...>
where all the values are integers, and after the first one, all are positive.
These have a few advantages. All rational numbers have a finite representation as a continued fraction, and all quadratic numbers have a repeating infinite pattern. But more importantly, the prefixes of these continued fractions contain the best rational approximations to a number. (The proof is not terribly difficult, and should be something non-mathematicians can follow. But I won't try it here.)
By this, I mean that these numbers:
<1;> //=> 1
<1; 2> //=> 3/2
<1; 2, 2> //=> 7/5
<1; 2, 2, 2> //=> 17/12
<1; 2, 2, 2, 2> //=> 41/29
...
Are successively better approximations to sqrt(2), and there are no better approximations available except with higher denominators. That is, for example, among denominators greater than 12 and less than 29, there are not better approximations to sqrt(2).
So by calculating the partial continued fraction for a number, we can find all the best approximations, and eventually find one that gets the multiple we're looking for.
Now we need to know how to calculate these continued fractions and then how to turn them their partials into rational numbers. Luckily, both are pretty easy.
To find the elements of a continued fraction, all we need to do is find the floor of the number, add that to our list, then continue with the reciprocal of the remainder.
If we started with 27/11, then the first element would be floor(27/11) or 2; the remainder is 5/11, which has the reciprocal of 11/5, The next digit would be the floor of that, which is 2, with a remainder of 1/5, whose reciprocal is 5 with no remainder. And so 27/11 can be written as <2; 2, 5>.
If we started with pi, then our first element would be 3, then we'd continue with the reciprocal of 0.14159265358979312, which is 7.062513305931052, and the next element would be 7. Taking the reciprocal of the remainder, we get 15.996594406684103, and the next element is 15. The reciprocal of that remainder is 1.0034172310150002, so the next element is 1. Then the reciprocal of the remainder gets much larger, at 292.63459087501246. We could continue to get a result like:
<3; 7, 15, 1, 292, 1, 1, 1, 2, 1, 3, 1, 14, 3, 3, 2, 1, ...>
which has no obvious pattern. But the high value of 292 tells us that <3; 7, 15, 1>, or 355/113 is an excellent approximation for pi.
The function contFrac does this algorithm just as described.
Now, to turn the partials into rational numbers, we can use a simple recursion. In <a_0; a_1, a_2, a_3, ...>, the first approximation is a_0, which we write as a_0/1. The second one is a_0 + (1 / a_1) or (a_0 * a_1) / a_1. After that, we can find the (k + 2)nd value by this simple formulas: n_(k + 2) = a_(k + 2) * n_(k + 1) + n_k, and d_(k + 2) = a_(k + 2) * d_(k + 1) + d_k.
So for <3; 7, 15, 1>, we start with 3/1 then 22/7, then our next value is (15 * 22 + 3) / (15 * 7 + 1) or 333/106, and then (1 * 333 + 22) / (1 * 106 + 7) or 355/113. The code uses a little trick which extends the numerators and denominators back two steps so that we can use our recursion for every step and then simply slices those two value off the final result.
And there we have it. By using the best rational approximations to a number, we can quickly find the smallest integer which, within a small tolerance, is a multiple of that number.
Here's every answer combined. The advantage of this is that it has a 'fallback' for each kind of input. If there's a terminating decimal, Endothermic_Dragon's first method is sufficient. If it is a repeating decimal, then a new method that finds an answer definitively is sufficient. If it is not sufficient, then the continued fraction is used as a fallback.
Note that the only reason I included the continued fraction last is because of the errors it sometimes causes with smaller decimals. I would just 'fix' the method, but I don't understand how it works, so I used it as a fallback.
//At the top so it is viewable
console.log(findMultiple(54.46333333333333)) //16339/300
console.log(findMultiple(8.333333333333333)) //25/3
console.log(findMultiple(14.05882352941176)) //Irrational
console.log(findMultiple(94.03820382038203)) //Irrational
console.log(findMultiple(623.0549383482724)) //1009349/1620
console.log(findMultiple(Math.PI)) //Irrational
console.log(findMultiple(13.000000221)) //1829587379722249/140737488355328
console.log(findMultiple(1.0000003333)) //1125900282105063/1125899906842624
//Main control
function findMultiple(num, interpretLiteral = false, epsilon = 1e-6) {
if (num.toString().length < 17 || num % 1 == 0 || interpretLiteral) {
return EndothermicDragonFirstMethod(num) //Terminating decimal
}
var checkRepeatingNum = CheckRepeating(num)
if (checkRepeatingNum != false) {
return Math.round(EndothermicDragonSecondMethod(num, checkRepeatingNum) * num) //Repeating decimal
} else {
return ScottSauyetFirstMethod(num, epsilon) //Continued fraction
}
}
//Predifined functions
//GCD
function gcd(x, y){return !y ? x : gcd(y, x % y)};
//Check if digits repeat, if they do, return repeat period
function CheckRepeating(num) {
var totalSearchLength = (num % 1).toString().split('.')[1].slice(0, -1).length
var numTemp1 = (num % 1).toString().split('.')[1].slice(0, -1).split('').reverse().join('')
for (var i = 1; i < Math.floor(totalSearchLength / 3); i++) {
var numTemp2 = numTemp1.slice(0, 3 * i)
var searchLength = i
bool = numTemp2.slice(0, searchLength) == numTemp2.slice(searchLength, 2 * searchLength) && numTemp2.slice(0, searchLength) == numTemp2.slice(2 * searchLength, 3 * searchLength)
if (bool) {
return searchLength
}
}
return false
}
//Terminating decimal
function EndothermicDragonFirstMethod(num) {
var decimal = num % 1;
var decimalPlaces = num.toString().split(".")[1]?.length || 0;
var multiplier = 10 ** decimalPlaces / gcd(10 ** decimalPlaces, decimal * (10 ** decimalPlaces));
return num * multiplier;
}
//Repeating decimal
function EndothermicDragonSecondMethod(num, repeatInterval) {
var numArray = num.toString().split('.')[1].slice(-repeatInterval).split('').reverse()
var restOfNum = num.toString().split('.')[1].slice(0, -repeatInterval * 3).split('').reverse()
var counter = 0;
var extraRepeat = 0;
restOfNum.every(el => {
if (el == numArray[counter]) {
extraRepeat++;
counter++;
if (counter == numArray.length) {
counter = 0
}
return true
}
return false
})
var repeatingPart = num.toString().split('.')[1].slice(-repeatInterval * 3 - extraRepeat, -repeatInterval * 2 - extraRepeat)
var notRepeatingPart = num.toString().split('.')[1].slice(0, -repeatInterval * 3 - extraRepeat)
var numerator = (parseInt(notRepeatingPart) * (parseInt("9".repeat(repeatingPart.length)))) + parseInt(repeatingPart)
var denominator = (parseInt("9".repeat(repeatingPart.length)) * (10 ** notRepeatingPart.length))
return denominator / gcd(numerator, denominator)
}
//Otherwise (irrational numbers or other)
function ScottSauyetFirstMethod(num, epsilon = 1e-6) {
const contFrac = (n, d = 1, count = Infinity) =>
count < 1 || d == 0 ? [] : [Math.floor(n / d)].concat(contFrac(d, n % d, count - 1))
const bestApprox = (n, d = 1, c) =>
contFrac(n, d, c)
.reduce((a, n, i) => [
...a,
{
n: a[i].n + n * a[i + 1].n,
d: a[i].d + n * a[i + 1].d
}
], [{
n: 0,
d: 1
}, {
n: 1,
d: 0
}])
.slice(2)
const firstIntMultiple = (x, epsilon) =>
bestApprox(x, 1)
.find(({
n,
d
}, i, a) => i == a.length - 1 || Math.abs(n / d - x) < epsilon)
.n
return firstIntMultiple(num, epsilon)
}
This results in accurate answers, no matter what in the world in the input is (even if it is a small decimal)!
Two competing answers. Which is the better one? There is no way of knowing until you test it out. So, that's what this new answer attempts to do.
These 'tests' (if you will) run each function 50 times, timing each iteration before clearing the console and logging the times' average.
8 Decimal Precision
Endothermic_Dragon:
const num = 3.14159265;
//Function start
const firstIntMultiple = () => {
var decimal = num % 1;
var decimalPlaces = num.toString().split(".")[1] ?.length || 0;
const gcd = (x, y) => (!y ? x : gcd(y, x % y));
var multiplier = 10 ** decimalPlaces / gcd(10 ** decimalPlaces, decimal * (10 ** decimalPlaces));
return num * multiplier;
}
//Function end
var times = []
for (var i = 0; i < 50; i++) {
var startTime = new Date()
console.log(firstIntMultiple().toString())
times.push((new Date() - startTime) / 1000)
}
console.clear()
console.log((times.reduce((a, b) => a + b, 0) / times.length) + " seconds on average")
Scott Sauyet:
const num = 3.14159265;
//Function start
const firstIntMultiple = (tol = 1e-8) => {
let c = 1;
while (Math.abs(num * c - Math.floor(num * c)) > tol) {
c += 1
}
return num * c
}
//Function end
var times = []
for (var i = 0; i < 50; i++) {
var startTime = new Date()
console.log(firstIntMultiple().toString())
times.push((new Date() - startTime) / 1000)
}
console.clear()
console.log((times.reduce((a, b) => a + b, 0) / times.length) + " seconds on average")
10 Decimal Precision
Endothermic_Dragon:
const num = 3.1415926535;
//Function start
const firstIntMultiple = () => {
var decimal = num % 1;
var decimalPlaces = num.toString().split(".")[1] ?.length || 0;
const gcd = (x, y) => (!y ? x : gcd(y, x % y));
var multiplier = 10 ** decimalPlaces / gcd(10 ** decimalPlaces, decimal * (10 ** decimalPlaces));
return num * multiplier;
}
//Function end
var times = []
for (var i = 0; i < 50; i++) {
var startTime = new Date()
console.log(firstIntMultiple().toString())
times.push((new Date() - startTime) / 1000)
}
console.clear()
console.log((times.reduce((a, b) => a + b, 0) / times.length) + " seconds on average")
Scott Sauyet:
const num = 3.1415926535;
//Function start
const firstIntMultiple = (tol = 1e-10) => {
let c = 1;
while (Math.abs(num * c - Math.floor(num * c)) > tol) {
c += 1
}
return num * c
}
//Function end
var times = []
for (var i = 0; i < 50; i++) {
var startTime = new Date()
console.log(firstIntMultiple().toString())
times.push((new Date() - startTime) / 1000)
}
console.clear()
console.log((times.reduce((a, b) => a + b, 0) / times.length) + " seconds on average")
Note that the functions will return slightly different results, due to slight differences in their inner mechanics. Endothermic_Dragon's answer tries to find the multiple which will return an exact whole number, whereas Scott Sauyet's answer attempts to find the multiplier which makes the number within the specified tolerance of a whole number.
These examples can be further scaled by adding more digits of pi on each and reducing the tolerance on Scott Sauyet's answer.
I was initially going to use decimal.js while testing this (https://mikemcl.github.io/decimal.js/), however, it turned out to be quite slow on Scott's method - it took 5.1243 seconds to calculate each iteration, whereas on Endothermic_Dragon's it took 0.0002 seconds each iteration. Note that this was done with 10 iterations on w3schools.
All of this analysis can show two conclusions:
Endothermic_Dragon's answer is scalable and accurate on terminating decimals.
Scott Sauyet's answer consumes some time but produces an accurate answer. This is especially useful when dealing with decimals that do not terminate, whether they are irrational or repeating.
Also, here's an extra test, because why not.
15 Decimal Precision
Endothermic_Dragon:
const num = 3.141592653589793;
//Function start
const firstIntMultiple = () => {
var decimal = num % 1;
var decimalPlaces = num.toString().split(".")[1] ?.length || 0;
const gcd = (x, y) => (!y ? x : gcd(y, x % y));
var multiplier = 10 ** decimalPlaces / gcd(10 ** decimalPlaces, decimal * (10 ** decimalPlaces));
return num * multiplier;
}
//Function end
var times = []
for (var i = 0; i < 50; i++) {
var startTime = new Date()
console.log(firstIntMultiple().toString())
times.push((new Date() - startTime) / 1000)
}
console.clear()
console.log((times.reduce((a, b) => a + b, 0) / times.length) + " seconds on average")
Scott Sauyet:
const num = 3.141592653589793;
//Function start
const firstIntMultiple = (tol = 1e-15) => {
let c = 1;
while (Math.abs(num * c - Math.floor(num * c)) > tol) {
c += 1
}
return num * c
}
//Function end
var times = []
for (var i = 0; i < 50; i++) {
var startTime = new Date()
console.log(firstIntMultiple().toString())
times.push((new Date() - startTime) / 1000)
}
console.clear()
console.log((times.reduce((a, b) => a + b, 0) / times.length) + " seconds on average")
How to calculate fibonacci function by math formula
I have try this formula but not work:
fib(n) = ((1 + 5^0.5) / 2)^n - ((1 - 5^0.5) / 2)^n / 5^0.5
const fib=(n)=>{
return ((1+(5**0.5))/2)**n-((1-(5**0.5))/2)**n/(5**0.5)
}
Any one know how to do?Thanks.
The formula is correct you just need to put some extra ().
const fib=(n)=>{
return (((1+(5**0.5))/2)**n-(((1-(5**0.5))/2)**n))/(5**0.5)
}
for(let i = 0;i<9;i++){
console.log(fib(i))
}
First thing I'd do is define φ
var φ = (1 + 5 ** 0.5) / 2;
Then a slightly shorter form is:
var fib = (n) => (φ ** n - ((-φ) ** -n)) / (2 * φ - 1);
Because you want an integer as a result, you could also throw in the call to Math.round().
You seem to be trying to recreate Binet's Formula. You can break down the formula a little like so, such that is becomes more readable:
const fib = n => {
const alpha = 5**0.5
const beta = alpha / 2;
return (1 / alpha) * ((0.5 + beta) ** n - (0.5 - beta) ** n);
}
console.log(fib(10));
How can I generate random whole numbers between two specified variables in JavaScript, e.g. x = 4 and y = 8 would output any of 4, 5, 6, 7, 8?
There are some examples on the Mozilla Developer Network page:
/**
* Returns a random number between min (inclusive) and max (exclusive)
*/
function getRandomArbitrary(min, max) {
return Math.random() * (max - min) + min;
}
/**
* Returns a random integer between min (inclusive) and max (inclusive).
* The value is no lower than min (or the next integer greater than min
* if min isn't an integer) and no greater than max (or the next integer
* lower than max if max isn't an integer).
* Using Math.round() will give you a non-uniform distribution!
*/
function getRandomInt(min, max) {
min = Math.ceil(min);
max = Math.floor(max);
return Math.floor(Math.random() * (max - min + 1)) + min;
}
Here's the logic behind it. It's a simple rule of three:
Math.random() returns a Number between 0 (inclusive) and 1 (exclusive). So we have an interval like this:
[0 .................................... 1)
Now, we'd like a number between min (inclusive) and max (exclusive):
[0 .................................... 1)
[min .................................. max)
We can use the Math.random to get the correspondent in the [min, max) interval. But, first we should factor a little bit the problem by subtracting min from the second interval:
[0 .................................... 1)
[min - min ............................ max - min)
This gives:
[0 .................................... 1)
[0 .................................... max - min)
We may now apply Math.random and then calculate the correspondent. Let's choose a random number:
Math.random()
|
[0 .................................... 1)
[0 .................................... max - min)
|
x (what we need)
So, in order to find x, we would do:
x = Math.random() * (max - min);
Don't forget to add min back, so that we get a number in the [min, max) interval:
x = Math.random() * (max - min) + min;
That was the first function from MDN. The second one, returns an integer between min and max, both inclusive.
Now for getting integers, you could use round, ceil or floor.
You could use Math.round(Math.random() * (max - min)) + min, this however gives a non-even distribution. Both, min and max only have approximately half the chance to roll:
min...min+0.5...min+1...min+1.5 ... max-0.5....max
└───┬───┘└────────┬───────┘└───── ... ─────┘└───┬──┘ ← Math.round()
min min+1 max
With max excluded from the interval, it has an even less chance to roll than min.
With Math.floor(Math.random() * (max - min +1)) + min you have a perfectly even distribution.
min... min+1... ... max-1... max.... (max+1 is excluded from interval)
└───┬───┘└───┬───┘└─── ... ┘└───┬───┘└───┬───┘ ← Math.floor()
min min+1 max-1 max
You can't use ceil() and -1 in that equation because max now had a slightly less chance to roll, but you can roll the (unwanted) min-1 result too.
var randomnumber = Math.floor(Math.random() * (maximum - minimum + 1)) + minimum;
Math.random()
Returns an integer random number between min (included) and max (included):
function randomInteger(min, max) {
return Math.floor(Math.random() * (max - min + 1)) + min;
}
Or any random number between min (included) and max (not included):
function randomNumber(min, max) {
return Math.random() * (max - min) + min;
}
Useful examples (integers):
// 0 -> 10
Math.floor(Math.random() * 11);
// 1 -> 10
Math.floor(Math.random() * 10) + 1;
// 5 -> 20
Math.floor(Math.random() * 16) + 5;
// -10 -> (-2)
Math.floor(Math.random() * 9) - 10;
** And always nice to be reminded (Mozilla):
Math.random() does not provide cryptographically secure random
numbers. Do not use them for anything related to security. Use the Web
Crypto API instead, and more precisely the
window.crypto.getRandomValues() method.
Use:
function getRandomizer(bottom, top) {
return function() {
return Math.floor( Math.random() * ( 1 + top - bottom ) ) + bottom;
}
}
Usage:
var rollDie = getRandomizer( 1, 6 );
var results = ""
for ( var i = 0; i<1000; i++ ) {
results += rollDie() + " "; // Make a string filled with 1000 random numbers in the range 1-6.
}
Breakdown:
We are returning a function (borrowing from functional programming) that when called, will return a random integer between the the values bottom and top, inclusive. We say 'inclusive' because we want to include both bottom and top in the range of numbers that can be returned. This way, getRandomizer( 1, 6 ) will return either 1, 2, 3, 4, 5, or 6.
('bottom' is the lower number, and 'top' is the greater number)
Math.random() * ( 1 + top - bottom )
Math.random() returns a random double between 0 and 1, and if we multiply it by one plus the difference between top and bottom, we'll get a double somewhere between 0 and 1+b-a.
Math.floor( Math.random() * ( 1 + top - bottom ) )
Math.floor rounds the number down to the nearest integer. So we now have all the integers between 0 and top-bottom. The 1 looks confusing, but it needs to be there because we are always rounding down, so the top number will never actually be reached without it. The random decimal we generate needs to be in the range 0 to (1+top-bottom) so we can round down and get an integer in the range 0 to top-bottom:
Math.floor( Math.random() * ( 1 + top - bottom ) ) + bottom
The code in the previous example gave us an integer in the range 0 and top-bottom, so all we need to do now is add bottom to that result to get an integer in the range bottom and top inclusive. :D
NOTE: If you pass in a non-integer value or the greater number first you'll get undesirable behavior, but unless anyone requests it I am not going to delve into the argument checking code as it’s rather far from the intent of the original question.
All these solutions are using way too much firepower. You only need to call one function: Math.random();
Math.random() * max | 0;
This returns a random integer between 0 (inclusive) and max (non-inclusive).
Return a random number between 1 and 10:
Math.floor((Math.random()*10) + 1);
Return a random number between 1 and 100:
Math.floor((Math.random()*100) + 1)
function randomRange(min, max) {
return ~~(Math.random() * (max - min + 1)) + min
}
Alternative if you are using Underscore.js you can use
_.random(min, max)
If you need a variable between 0 and max, you can use:
Math.floor(Math.random() * max);
The other answers don't account for the perfectly reasonable parameters of 0 and 1. Instead you should use the round instead of ceil or floor:
function randomNumber(minimum, maximum){
return Math.round( Math.random() * (maximum - minimum) + minimum);
}
console.log(randomNumber(0,1)); # 0 1 1 0 1 0
console.log(randomNumber(5,6)); # 5 6 6 5 5 6
console.log(randomNumber(3,-1)); # 1 3 1 -1 -1 -1
Cryptographically strong
To get a cryptographically strong random integer number in the range [x,y], try:
let cs = (x,y) => x + (y - x + 1)*crypto.getRandomValues(new Uint32Array(1))[0]/2**32 | 0
console.log(cs(4, 8))
Here's what I use to generate random numbers.
function random(min,max) {
return Math.floor((Math.random())*(max-min+1))+min;
}
Math.random() returns a number between 0 (inclusive) and 1 (exclusive). We multiply this number by the range (max-min). This results in a number between 0 (inclusive), and the range.
For example, take random(2,5). We multiply the random number 0≤x<1 by the range (5-2=3), so we now have a number, x where 0≤x<3.
In order to force the function to treat both the max and min as inclusive, we add 1 to our range calculation: Math.random()*(max-min+1). Now, we multiply the random number by the (5-2+1=4), resulting in an number, x, such that 0≤x<4. If we floor this calculation, we get an integer: 0≤x≤3, with an equal likelihood of each result (1/4).
Finally, we need to convert this into an integer between the requested values. Since we already have an integer between 0 and the (max-min), we can simply map the value into the correct range by adding the minimum value. In our example, we add 2 our integer between 0 and 3, resulting in an integer between 2 and 5.
Use this function to get random numbers in a given range:
function rnd(min, max) {
return Math.floor(Math.random()*(max - min + 1) + min);
}
Here is the Microsoft .NET Implementation of the Random class in JavaScript—
var Random = (function () {
function Random(Seed) {
if (!Seed) {
Seed = this.milliseconds();
}
this.SeedArray = [];
for (var i = 0; i < 56; i++)
this.SeedArray.push(0);
var num = (Seed == -2147483648) ? 2147483647 : Math.abs(Seed);
var num2 = 161803398 - num;
this.SeedArray[55] = num2;
var num3 = 1;
for (var i_1 = 1; i_1 < 55; i_1++) {
var num4 = 21 * i_1 % 55;
this.SeedArray[num4] = num3;
num3 = num2 - num3;
if (num3 < 0) {
num3 += 2147483647;
}
num2 = this.SeedArray[num4];
}
for (var j = 1; j < 5; j++) {
for (var k = 1; k < 56; k++) {
this.SeedArray[k] -= this.SeedArray[1 + (k + 30) % 55];
if (this.SeedArray[k] < 0) {
this.SeedArray[k] += 2147483647;
}
}
}
this.inext = 0;
this.inextp = 21;
Seed = 1;
}
Random.prototype.milliseconds = function () {
var str = new Date().valueOf().toString();
return parseInt(str.substr(str.length - 6));
};
Random.prototype.InternalSample = function () {
var num = this.inext;
var num2 = this.inextp;
if (++num >= 56) {
num = 1;
}
if (++num2 >= 56) {
num2 = 1;
}
var num3 = this.SeedArray[num] - this.SeedArray[num2];
if (num3 == 2147483647) {
num3--;
}
if (num3 < 0) {
num3 += 2147483647;
}
this.SeedArray[num] = num3;
this.inext = num;
this.inextp = num2;
return num3;
};
Random.prototype.Sample = function () {
return this.InternalSample() * 4.6566128752457969E-10;
};
Random.prototype.GetSampleForLargeRange = function () {
var num = this.InternalSample();
var flag = this.InternalSample() % 2 == 0;
if (flag) {
num = -num;
}
var num2 = num;
num2 += 2147483646.0;
return num2 / 4294967293.0;
};
Random.prototype.Next = function (minValue, maxValue) {
if (!minValue && !maxValue)
return this.InternalSample();
var num = maxValue - minValue;
if (num <= 2147483647) {
return parseInt((this.Sample() * num + minValue).toFixed(0));
}
return this.GetSampleForLargeRange() * num + minValue;
};
Random.prototype.NextDouble = function () {
return this.Sample();
};
Random.prototype.NextBytes = function (buffer) {
for (var i = 0; i < buffer.length; i++) {
buffer[i] = this.InternalSample() % 256;
}
};
return Random;
}());
Use:
var r = new Random();
var nextInt = r.Next(1, 100); // Returns an integer between range
var nextDbl = r.NextDouble(); // Returns a random decimal
I wanted to explain using an example:
Function to generate random whole numbers in JavaScript within a range of 5 to 25
General Overview:
(i) First convert it to the range - starting from 0.
(ii) Then convert it to your desired range ( which then will be very
easy to complete).
So basically, if you want to generate random whole numbers from 5 to 25 then:
First step: Converting it to range - starting from 0
Subtract "lower/minimum number" from both "max" and "min". i.e
(5-5) - (25-5)
So the range will be:
0-20 ...right?
Step two
Now if you want both numbers inclusive in range - i.e "both 0 and 20", the equation will be:
Mathematical equation: Math.floor((Math.random() * 21))
General equation: Math.floor((Math.random() * (max-min +1)))
Now if we add subtracted/minimum number (i.e., 5) to the range - then automatically we can get range from 0 to 20 => 5 to 25
Step three
Now add the difference you subtracted in equation (i.e., 5) and add "Math.floor" to the whole equation:
Mathematical equation: Math.floor((Math.random() * 21) + 5)
General equation: Math.floor((Math.random() * (max-min +1)) + min)
So finally the function will be:
function randomRange(min, max) {
return Math.floor((Math.random() * (max - min + 1)) + min);
}
After generating a random number using a computer program, it is still considered as a random number if the picked number is a part or the full one of the initial one. But if it was changed, then mathematicians do not accept it as a random number and they can call it a biased number.
But if you are developing a program for a simple task, this will not be a case to consider. But if you are developing a program to generate a random number for a valuable stuff such as lottery program, or gambling game, then your program will be rejected by the management if you are not consider about the above case.
So for those kind of people, here is my suggestion:
Generate a random number using Math.random() (say this n):
Now for [0,10) ==> n*10 (i.e. one digit) and for[10,100) ==> n*100 (i.e., two digits) and so on. Here square bracket indicates that the boundary is inclusive and a round bracket indicates the boundary is exclusive.
Then remove the rest after the decimal point. (i.e., get the floor) - using Math.floor(). This can be done.
If you know how to read the random number table to pick a random number, you know the above process (multiplying by 1, 10, 100 and so on) does not violate the one that I was mentioned at the beginning (because it changes only the place of the decimal point).
Study the following example and develop it to your needs.
If you need a sample [0,9] then the floor of n10 is your answer and if you need [0,99] then the floor of n100 is your answer and so on.
Now let’s enter into your role:
You've asked for numbers in a specific range. (In this case you are biased among that range. By taking a number from [1,6] by roll a die, then you are biased into [1,6], but still it is a random number if and only if the die is unbiased.)
So consider your range ==> [78, 247]
number of elements of the range = 247 - 78 + 1 = 170; (since both the boundaries are inclusive).
/* Method 1: */
var i = 78, j = 247, k = 170, a = [], b = [], c, d, e, f, l = 0;
for(; i <= j; i++){ a.push(i); }
while(l < 170){
c = Math.random()*100; c = Math.floor(c);
d = Math.random()*100; d = Math.floor(d);
b.push(a[c]); e = c + d;
if((b.length != k) && (e < k)){ b.push(a[e]); }
l = b.length;
}
console.log('Method 1:');
console.log(b);
/* Method 2: */
var a, b, c, d = [], l = 0;
while(l < 170){
a = Math.random()*100; a = Math.floor(a);
b = Math.random()*100; b = Math.floor(b);
c = a + b;
if(c <= 247 || c >= 78){ d.push(c); }else{ d.push(a); }
l = d.length;
}
console.log('Method 2:');
console.log(d);
Note: In method one, first I created an array which contains numbers that you need and then randomly put them into another array.
In method two, generate numbers randomly and check those are in the range that you need. Then put it into an array. Here I generated two random numbers and used the total of them to maximize the speed of the program by minimizing the failure rate that obtaining a useful number. However, adding generated numbers will also give some biasedness. So I would recommend my first method to generate random numbers within a specific range.
In both methods, your console will show the result (press F12 in Chrome to open the console).
function getRandomInt(lower, upper)
{
//to create an even sample distribution
return Math.floor(lower + (Math.random() * (upper - lower + 1)));
//to produce an uneven sample distribution
//return Math.round(lower + (Math.random() * (upper - lower)));
//to exclude the max value from the possible values
//return Math.floor(lower + (Math.random() * (upper - lower)));
}
To test this function, and variations of this function, save the below HTML/JavaScript to a file and open with a browser. The code will produce a graph showing the distribution of one million function calls. The code will also record the edge cases, so if the the function produces a value greater than the max, or less than the min, you.will.know.about.it.
<html>
<head>
<script type="text/javascript">
function getRandomInt(lower, upper)
{
//to create an even sample distribution
return Math.floor(lower + (Math.random() * (upper - lower + 1)));
//to produce an uneven sample distribution
//return Math.round(lower + (Math.random() * (upper - lower)));
//to exclude the max value from the possible values
//return Math.floor(lower + (Math.random() * (upper - lower)));
}
var min = -5;
var max = 5;
var array = new Array();
for(var i = 0; i <= (max - min) + 2; i++) {
array.push(0);
}
for(var i = 0; i < 1000000; i++) {
var random = getRandomInt(min, max);
array[random - min + 1]++;
}
var maxSample = 0;
for(var i = 0; i < max - min; i++) {
maxSample = Math.max(maxSample, array[i]);
}
//create a bar graph to show the sample distribution
var maxHeight = 500;
for(var i = 0; i <= (max - min) + 2; i++) {
var sampleHeight = (array[i]/maxSample) * maxHeight;
document.write('<span style="display:inline-block;color:'+(sampleHeight == 0 ? 'black' : 'white')+';background-color:black;height:'+sampleHeight+'px"> [' + (i + min - 1) + ']: '+array[i]+'</span> ');
}
document.write('<hr/>');
</script>
</head>
<body>
</body>
</html>
For a random integer with a range, try:
function random(minimum, maximum) {
var bool = true;
while (bool) {
var number = (Math.floor(Math.random() * maximum + 1) + minimum);
if (number > 20) {
bool = true;
} else {
bool = false;
}
}
return number;
}
Here is a function that generates a random number between min and max, both inclusive.
const randomInt = (max, min) => Math.round(Math.random() * (max - min)) + min;
To get a random number say between 1 and 6, first do:
0.5 + (Math.random() * ((6 - 1) + 1))
This multiplies a random number by 6 and then adds 0.5 to it. Next round the number to a positive integer by doing:
Math.round(0.5 + (Math.random() * ((6 - 1) + 1))
This round the number to the nearest whole number.
Or to make it more understandable do this:
var value = 0.5 + (Math.random() * ((6 - 1) + 1))
var roll = Math.round(value);
return roll;
In general, the code for doing this using variables is:
var value = (Min - 0.5) + (Math.random() * ((Max - Min) + 1))
var roll = Math.round(value);
return roll;
The reason for taking away 0.5 from the minimum value is because using the minimum value alone would allow you to get an integer that was one more than your maximum value. By taking away 0.5 from the minimum value you are essentially preventing the maximum value from being rounded up.
Using the following code, you can generate an array of random numbers, without repeating, in a given range.
function genRandomNumber(how_many_numbers, min, max) {
// Parameters
//
// how_many_numbers: How many numbers you want to
// generate. For example, it is 5.
//
// min (inclusive): Minimum/low value of a range. It
// must be any positive integer, but
// less than max. I.e., 4.
//
// max (inclusive): Maximum value of a range. it must
// be any positive integer. I.e., 50
//
// Return type: array
var random_number = [];
for (var i = 0; i < how_many_numbers; i++) {
var gen_num = parseInt((Math.random() * (max-min+1)) + min);
do {
var is_exist = random_number.indexOf(gen_num);
if (is_exist >= 0) {
gen_num = parseInt((Math.random() * (max-min+1)) + min);
}
else {
random_number.push(gen_num);
is_exist = -2;
}
}
while (is_exist > -1);
}
document.getElementById('box').innerHTML = random_number;
}
Random whole number between lowest and highest:
function randomRange(low, high) {
var range = (high-low);
var random = Math.floor(Math.random()*range);
if (random === 0) {
random += 1;
}
return low + random;
}
It is not the most elegant solution, but something quick.
I found this simple method on W3Schools:
Math.floor((Math.random() * max) + min);
Math.random() is fast and suitable for many purposes, but it's not appropriate if you need cryptographically-secure values (it's not secure), or if you need integers from a completely uniform unbiased distribution (the multiplication approach used in others answers produces certain values slightly more often than others).
In such cases, we can use crypto.getRandomValues() to generate secure integers, and reject any generated values that we can't map uniformly into the target range. This will be slower, but it shouldn't be significant unless you're generating extremely large numbers of values.
To clarify the biased distribution concern, consider the case where we want to generate a value between 1 and 5, but we have a random number generator that produces values between 1 and 16 (a 4-bit value). We want to have the same number of generated values mapping to each output value, but 16 does not evenly divide by 5: it leaves a remainder of 1. So we need to reject 1 of the possible generated values, and only continue when we get one of the 15 lesser values that can be uniformly mapped into our target range. Our behaviour could look like this pseudocode:
Generate a 4-bit integer in the range 1-16.
If we generated 1, 6, or 11 then output 1.
If we generated 2, 7, or 12 then output 2.
If we generated 3, 8, or 13 then output 3.
If we generated 4, 9, or 14 then output 4.
If we generated 5, 10, or 15 then output 5.
If we generated 16 then reject it and try again.
The following code uses similar logic, but generates a 32-bit integer instead, because that's the largest common integer size that can be represented by JavaScript's standard number type. (This could be modified to use BigInts if you need a larger range.) Regardless of the chosen range, the fraction of generated values that are rejected will always be less than 0.5, so the expected number of rejections will always be less than 1.0 and usually close to 0.0; you don't need to worry about it looping forever.
const randomInteger = (min, max) => {
const range = max - min;
const maxGeneratedValue = 0xFFFFFFFF;
const possibleResultValues = range + 1;
const possibleGeneratedValues = maxGeneratedValue + 1;
const remainder = possibleGeneratedValues % possibleResultValues;
const maxUnbiased = maxGeneratedValue - remainder;
if (!Number.isInteger(min) || !Number.isInteger(max) ||
max > Number.MAX_SAFE_INTEGER || min < Number.MIN_SAFE_INTEGER) {
throw new Error('Arguments must be safe integers.');
} else if (range > maxGeneratedValue) {
throw new Error(`Range of ${range} (from ${min} to ${max}) > ${maxGeneratedValue}.`);
} else if (max < min) {
throw new Error(`max (${max}) must be >= min (${min}).`);
} else if (min === max) {
return min;
}
let generated;
do {
generated = crypto.getRandomValues(new Uint32Array(1))[0];
} while (generated > maxUnbiased);
return min + (generated % possibleResultValues);
};
console.log(randomInteger(-8, 8)); // -2
console.log(randomInteger(0, 0)); // 0
console.log(randomInteger(0, 0xFFFFFFFF)); // 944450079
console.log(randomInteger(-1, 0xFFFFFFFF));
// Error: Range of 4294967296 covering -1 to 4294967295 is > 4294967295.
console.log(new Array(12).fill().map(n => randomInteger(8, 12)));
// [11, 8, 8, 11, 10, 8, 8, 12, 12, 12, 9, 9]
Here is an example of a JavaScript function that can generate a random number of any specified length without using Math.random():
function genRandom(length)
{
const t1 = new Date().getMilliseconds();
var min = "1", max = "9";
var result;
var numLength = length;
if (numLength != 0)
{
for (var i = 1; i < numLength; i++)
{
min = min.toString() + "0";
max = max.toString() + "9";
}
}
else
{
min = 0;
max = 0;
return;
}
for (var i = min; i <= max; i++)
{
// Empty Loop
}
const t2 = new Date().getMilliseconds();
console.log(t2);
result = ((max - min)*t1)/t2;
console.log(result);
return result;
}
Use:
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8" />
</head>
<body>
<script>
/*
Assuming that window.crypto.getRandomValues
is available, the real range would be from
0 to 1,998 instead of 0 to 2,000.
See the JavaScript documentation
for an explanation:
https://developer.mozilla.org/en-US/docs/Web/API/RandomSource/getRandomValues
*/
var array = new Uint8Array(2);
window.crypto.getRandomValues(array);
console.log(array[0] + array[1]);
</script>
</body>
</html>
Uint8Array creates an array filled with a number up to three digits which would be a maximum of 999. This code is very short.
This is my take on a random number in a range, as in I wanted to get a random number within a range of base to exponent. E.g., base = 10, exponent = 2, gives a random number from 0 to 100, ideally, and so on.
If it helps using it, here it is:
// Get random number within provided base + exponent
// By Goran Biljetina --> 2012
function isEmpty(value) {
return (typeof value === "undefined" || value === null);
}
var numSeq = new Array();
function add(num, seq) {
var toAdd = new Object();
toAdd.num = num;
toAdd.seq = seq;
numSeq[numSeq.length] = toAdd;
}
function fillNumSeq (num, seq) {
var n;
for(i=0; i<=seq; i++) {
n = Math.pow(num, i);
add(n, i);
}
}
function getRandNum(base, exp) {
if (isEmpty(base)) {
console.log("Specify value for base parameter");
}
if (isEmpty(exp)) {
console.log("Specify value for exponent parameter");
}
fillNumSeq(base, exp);
var emax;
var eseq;
var nseed;
var nspan;
emax = (numSeq.length);
eseq = Math.floor(Math.random()*emax) + 1;
nseed = numSeq[eseq].num;
nspan = Math.floor((Math.random())*(Math.random()*nseed)) + 1;
return Math.floor(Math.random()*nspan) + 1;
}
console.log(getRandNum(10, 20), numSeq);
//Testing:
//getRandNum(-10, 20);
//console.log(getRandNum(-10, 20), numSeq);
//console.log(numSeq);
This I guess, is the most simplified of all the contributions.
maxNum = 8,
minNum = 4
console.log(Math.floor(Math.random() * (maxNum - minNum) + minNum))
console.log(Math.floor(Math.random() * (8 - 4) + 4))
This will log random numbers between 4 and 8 into the console, 4 and 8 inclusive.
Ionuț G. Stan wrote a great answer, but it was a bit too complex for me to grasp. So, I found an even simpler explanation of the same concepts at Math.floor( Math.random () * (max - min + 1)) + min) Explanation by Jason Anello.
Note: The only important thing you should know before reading Jason's explanation is a definition of "truncate". He uses that term when describing Math.floor(). Oxford dictionary defines "truncate" as:
Shorten (something) by cutting off the top or end.
A function called randUpTo that accepts a number and returns a random whole number between 0 and that number:
var randUpTo = function(num) {
return Math.floor(Math.random() * (num - 1) + 0);
};
A function called randBetween that accepts two numbers representing a range and returns a random whole number between those two numbers:
var randBetween = function (min, max) {
return Math.floor(Math.random() * (max - min - 1)) + min;
};
A function called randFromTill that accepts two numbers representing a range and returns a random number between min (inclusive) and max (exclusive)
var randFromTill = function (min, max) {
return Math.random() * (max - min) + min;
};
A function called randFromTo that accepts two numbers representing a range and returns a random integer between min (inclusive) and max (inclusive):
var randFromTo = function (min, max) {
return Math.floor(Math.random() * (max - min + 1)) + min;
};
You can you this code snippet,
let randomNumber = function(first, second) {
let number = Math.floor(Math.random()*Math.floor(second));
while(number < first) {
number = Math.floor(Math.random()*Math.floor(second));
}
return number;
}
Is there a way to generate a random number in a specified range with JavaScript ?
For example: a specified range from 1 to 6 were the random number could be either 1, 2, 3, 4, 5, or 6.
function randomIntFromInterval(min, max) { // min and max included
return Math.floor(Math.random() * (max - min + 1) + min)
}
const rndInt = randomIntFromInterval(1, 6)
console.log(rndInt)
What it does "extra" is it allows random intervals that do not start with 1.
So you can get a random number from 10 to 15 for example. Flexibility.
Important
The following code works only if the minimum value is `1`. It does not work for minimum values other than `1`.
If you wanted to get a random integer between 1 (and only 1) and 6, you would calculate:
const rndInt = Math.floor(Math.random() * 6) + 1
console.log(rndInt)
Where:
1 is the start number
6 is the number of possible results (1 + start (6) - end (1))
Math.random()
Returns an integer random number between min (included) and max (included):
function randomInteger(min, max) {
return Math.floor(Math.random() * (max - min + 1)) + min;
}
Or any random number between min (included) and max (not included):
function randomNumber(min, max) {
return Math.random() * (max - min) + min;
}
Useful examples (integers):
// 0 -> 10
Math.floor(Math.random() * 11);
// 1 -> 10
Math.floor(Math.random() * 10) + 1;
// 5 -> 20
Math.floor(Math.random() * 16) + 5;
// -10 -> (-2)
Math.floor(Math.random() * 9) - 10;
** And always nice to be reminded (Mozilla):
Math.random() does not provide cryptographically secure random
numbers. Do not use them for anything related to security. Use the Web
Crypto API instead, and more precisely the
window.crypto.getRandomValues() method.
Other solutions:
(Math.random() * 6 | 0) + 1
~~(Math.random() * 6) + 1
Try online
TL;DR
function generateRandomInteger(min, max) {
return Math.floor(min + Math.random()*(max - min + 1))
}
To get the random number
generateRandomInteger(-20, 20);
EXPLANATION BELOW
integer - A number which is not a fraction; a whole number
We need to get a random number , say X between min and max.
X, min and max are all integers
i.e
min <= X <= max
If we subtract min from the equation, this is equivalent to
0 <= (X - min) <= (max - min)
Now, lets multiply this with a random number r
which is
0 <= (X - min) * r <= (max - min) * r
Now, lets add back min to the equation
min <= min + (X - min) * r <= min + (max - min) * r
For, any given X, the above equation satisfies only when r has range of [0,1] For any other values of r the above equation is unsatisfied.
Learn more about ranges [x,y] or (x,y) here
Our next step is to find a function which always results in a value which has a range of [0,1]
Now, the range of r i.e [0,1] is very similar to Math.random() function in Javascript. Isn't it?
The Math.random() function returns a floating-point, pseudo-random
number in the range [0, 1); that is, from 0 (inclusive) up to but not
including 1 (exclusive)
Random Function using Math.random() 0 <= r < 1
Notice that in Math.random() left bound is inclusive and the right bound is exclusive. This means min + (max - min) * r will evaluate to having a range from [min, max)
To include our right bound i.e [min,max] we increase the right bound by 1 and floor the result.
function generateRandomInteger(min, max) {
return Math.floor(min + Math.random()*(max - min + 1))
}
To get the random number
generateRandomInteger(-20, 20);
Or, in Underscore
_.random(min, max)
var x = 6; // can be any number
var rand = Math.floor(Math.random()*x) + 1;
jsfiddle: https://jsfiddle.net/cyGwf/477/
Random Integer: to get a random integer between min and max, use the following code
function getRandomInteger(min, max) {
min = Math.ceil(min);
max = Math.floor(max);
return Math.floor(Math.random() * (max - min)) + min;
}
Random Floating Point Number: to get a random floating point number between min and max, use the following code
function getRandomFloat(min, max) {
return Math.random() * (max - min) + min;
}
Reference: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Math/random
Math is not my strong point, but I've been working on a project where I needed to generate a lot of random numbers between both positive and negative.
function randomBetween(min, max) {
if (min < 0) {
return min + Math.random() * (Math.abs(min)+max);
}else {
return min + Math.random() * max;
}
}
E.g
randomBetween(-10,15)//or..
randomBetween(10,20)//or...
randomBetween(-200,-100)
Of course, you can also add some validation to make sure you don't do this with anything other than numbers. Also make sure that min is always less than or equal to max.
Get a random integer between 0 and 400
let rand = Math.round(Math.random() * 400)
document.write(rand)
Get a random integer between 200 and 1500
let range = {min: 200, max: 1500}
let delta = range.max - range.min
const rand = Math.round(range.min + Math.random() * delta)
document.write(rand)
Using functions
function randBetween(min, max){
let delta = max - min
return Math.round(min + Math.random() * delta)
}
document.write(randBetween(10, 15));
// JavaScript ES6 arrow function
const randBetween = (min, max) => {
let delta = max - min
return Math.round(min + Math.random() * delta)
}
document.write(randBetween(10, 20))
I wrote more flexible function which can give you random number but not only integer.
function rand(min,max,interval)
{
if (typeof(interval)==='undefined') interval = 1;
var r = Math.floor(Math.random()*(max-min+interval)/interval);
return r*interval+min;
}
var a = rand(0,10); //can be 0, 1, 2 (...) 9, 10
var b = rand(4,6,0.1); //can be 4.0, 4.1, 4.2 (...) 5.9, 6.0
Fixed version.
ES6 / Arrow functions version based on Francis' code (i.e. the top answer):
const randomIntFromInterval = (min, max) => Math.floor(Math.random() * (max - min + 1) + min);
Example
Return a random number between 1 and 10:
Math.floor((Math.random() * 10) + 1);
The result could be:
3
Try yourself: here
--
or using lodash / undescore:
_.random(min, max)
Docs:
- lodash
- undescore
The top rated solution is not mathematically correct as same as comments under it -> Math.floor(Math.random() * 6) + 1.
Task: generate random number between 1 and 6.
Math.random() returns floating point number between 0 and 1 (like 0.344717274374 or 0.99341293123 for example), which we will use as a percentage, so Math.floor(Math.random() * 6) + 1 returns some percentage of 6 (max: 5, min: 0) and adds 1. The author got lucky that lower bound was 1., because percentage floor will "maximumly" return 5 which is less than 6 by 1, and that 1 will be added by lower bound 1.
The problems occurs when lower bound is greater than 1. For instance,
Task: generate random between 2 and 6.
(following author's logic)
Math.floor(Math.random() * 6) + 2, it is obviously seen that if we get 5 here -> Math.random() * 6 and then add 2, the outcome will be 7 which goes beyond the desired boundary of 6.
Another example,
Task: generate random between 10 and 12.
(following author's logic)
Math.floor(Math.random() * 12) + 10, (sorry for repeating) it is obvious that we are getting 0%-99% percent of number "12", which will go way beyond desired boundary of 12.
So, the correct logic is to take the difference between lower bound and upper bound add 1, and only then floor it (to substract 1, because Math.random() returns 0 - 0.99, so no way to get full upper bound, thats why we adding 1 to upper bound to get maximumly 99% of (upper bound + 1) and then we floor it to get rid of excess). Once we got the floored percentage of (difference + 1), we can add lower boundary to get the desired randomed number between 2 numbers.
The logic formula for that will be: Math.floor(Math.random() * ((up_boundary - low_boundary) + 1)) + 10.
P.s.: Even comments under the top-rated answer were incorrect, since people forgot to add 1 to the difference, meaning that they will never get the up boundary (yes it might be a case if they dont want to get it at all, but the requirenment was to include the upper boundary).
I was searching random number generator written in TypeScript and I have written this after reading all of the answers, hope It would work for TypeScript coders.
Rand(min: number, max: number): number {
return (Math.random() * (max - min + 1) | 0) + min;
}
Inspite of many answers and almost same result. I would like to add my answer and explain its working. Because it is important to understand its working rather than copy pasting one line code. Generating random numbers is nothing but simple maths.
CODE:
function getR(lower, upper) {
var percent = (Math.random() * 100);
// this will return number between 0-99 because Math.random returns decimal number from 0-0.9929292 something like that
//now you have a percentage, use it find out the number between your INTERVAL :upper-lower
var num = ((percent * (upper - lower) / 100));
//num will now have a number that falls in your INTERVAL simple maths
num += lower;
//add lower to make it fall in your INTERVAL
//but num is still in decimal
//use Math.floor>downward to its nearest integer you won't get upper value ever
//use Math.ceil>upward to its nearest integer upper value is possible
//Math.round>to its nearest integer 2.4>2 2.5>3 both lower and upper value possible
console.log(Math.floor(num), Math.ceil(num), Math.round(num));
}
Math.random() is fast and suitable for many purposes, but it's not appropriate if you need cryptographically-secure values (it's not secure), or if you need integers from a completely uniform unbiased distribution (the multiplication approach used in others answers produces certain values slightly more often than others).
In such cases, we can use crypto.getRandomValues() to generate secure integers, and reject any generated values that we can't map uniformly into the target range. This will be slower, but it shouldn't be significant unless you're generating extremely large numbers of values.
To clarify the biased distribution concern, consider the case where we want to generate a value between 1 and 5, but we have a random number generator that produces values between 1 and 16 (a 4-bit value). We want to have the same number of generated values mapping to each output value, but 16 does not evenly divide by 5: it leaves a remainder of 1. So we need to reject 1 of the possible generated values, and only continue when we get one of the 15 lesser values that can be uniformly mapped into our target range. Our behaviour could look like this pseudocode:
Generate a 4-bit integer in the range 1-16.
If we generated 1, 6, or 11 then output 1.
If we generated 2, 7, or 12 then output 2.
If we generated 3, 8, or 13 then output 3.
If we generated 4, 9, or 14 then output 4.
If we generated 5, 10, or 15 then output 5.
If we generated 16 then reject it and try again.
The following code uses similar logic, but generates a 32-bit integer instead, because that's the largest common integer size that can be represented by JavaScript's standard number type. (This could be modified to use BigInts if you need a larger range.) Regardless of the chosen range, the fraction of generated values that are rejected will always be less than 0.5, so the expected number of rejections will always be less than 1.0 and usually close to 0.0; you don't need to worry about it looping forever.
const randomInteger = (min, max) => {
const range = max - min;
const maxGeneratedValue = 0xFFFFFFFF;
const possibleResultValues = range + 1;
const possibleGeneratedValues = maxGeneratedValue + 1;
const remainder = possibleGeneratedValues % possibleResultValues;
const maxUnbiased = maxGeneratedValue - remainder;
if (!Number.isInteger(min) || !Number.isInteger(max) ||
max > Number.MAX_SAFE_INTEGER || min < Number.MIN_SAFE_INTEGER) {
throw new Error('Arguments must be safe integers.');
} else if (range > maxGeneratedValue) {
throw new Error(`Range of ${range} (from ${min} to ${max}) > ${maxGeneratedValue}.`);
} else if (max < min) {
throw new Error(`max (${max}) must be >= min (${min}).`);
} else if (min === max) {
return min;
}
let generated;
do {
generated = crypto.getRandomValues(new Uint32Array(1))[0];
} while (generated > maxUnbiased);
return min + (generated % possibleResultValues);
};
console.log(randomInteger(-8, 8)); // -2
console.log(randomInteger(0, 0)); // 0
console.log(randomInteger(0, 0xFFFFFFFF)); // 944450079
console.log(randomInteger(-1, 0xFFFFFFFF));
// Error: Range of 4294967296 covering -1 to 4294967295 is > 4294967295.
console.log(new Array(12).fill().map(n => randomInteger(8, 12)));
// [11, 8, 8, 11, 10, 8, 8, 12, 12, 12, 9, 9]
to return 1-6 like a dice basically,
return Math.round(Math.random() * 5 + 1);
Adding float with fixed precision version based on the int version in #Francisc's answer:
function randomFloatFromInterval (min, max, fractionDigits) {
const fractionMultiplier = Math.pow(10, fractionDigits)
return Math.round(
(Math.random() * (max - min) + min) * fractionMultiplier,
) / fractionMultiplier
}
so:
randomFloatFromInterval(1,3,4) // => 2.2679, 1.509, 1.8863, 2.9741, ...
and for int answer
randomFloatFromInterval(1,3,0) // => 1, 2, 3
Crypto-strong random integer number in range [a,b] (assumption: a < b )
let rand= (a,b)=> a+(b-a+1)*crypto.getRandomValues(new Uint32Array(1))[0]/2**32|0
console.log( rand(1,6) );
This function can generate a random integer number between (and including) min and max numbers:
function randomNumber(min, max) {
if (min > max) {
let temp = max;
max = min;
min = temp;
}
if (min <= 0) {
return Math.floor(Math.random() * (max + Math.abs(min) + 1)) + min;
} else {
return Math.floor(Math.random() * (max - min + 1)) + min;
}
}
Example:
randomNumber(-2, 3); // can be -2, -1, 0, 1, 2 and 3
randomNumber(-5, -2); // can be -5, -4, -3 and -2
randomNumber(0, 4); // can be 0, 1, 2, 3 and 4
randomNumber(4, 0); // can be 0, 1, 2, 3 and 4
Using random function, which can be reused.
function randomNum(min, max) {
return Math.floor(Math.random() * (max - min + 1)) + min;
}
randomNum(1, 6);
This should work:
const getRandomNum = (min, max) => Math.floor(Math.random() * (max - min + 1)) + min
If the starting number is 1, as in your example (1-6), you can use Math.ceil() method instead of Math.floor().
Math.ceil(Math.random() * 6)
instead of
Math.floor(Math.random() * 6) + 1
Let's not forget other useful Math methods.
This is about nine years late, but randojs.com makes this a simple one-liner:
rando(1, 6)
You just need to add this to the head of your html document, and you can do pretty much whatever you want with randomness easily. Random values from arrays, random jquery elements, random properties from objects, and even preventing repetitions if needed.
<script src="https://randojs.com/1.0.0.js"></script>
Try using:
function random(min, max) {
return Math.round((Math.random() *( Math.abs(max - min))) + min);
}
console.log(random(1, 6));
Short Answer: It's achievable using a simple array.
you can alternate within array elements.
This solution works even if your values are not consecutive. Values don't even have to be a number.
let array = [1, 2, 3, 4, 5, 6];
const randomValue = array[Math.floor(Math.random() * array.length)];
This simple function is handy and works in ANY cases (fully tested).
Also, the distribution of the results has been fully tested and is 100% correct.
function randomInteger(pMin = 1, pMax = 1_000_000_000)
//Author: Axel Gauffre.
//Here: https://stackoverflow.com/a/74636954/5171000
//Inspired by: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Math/random#getting_a_random_number_between_two_values
//
//This function RETURNS A RANDOM INTEGER between pMin (INCLUDED) and pMax (INCLUDED).
// - pMin and pMax should be integers.
// - HOWEVER, if pMin and/or pMax are FLOATS, they will be ROUNDED to the NEAREST integer.
// - NEGATIVE values ARE supported.
// - The ORDER of the 2 arguments has NO consequence: If pMin > pMax, then pMin and pMax will simply be SWAPPED.
// - If pMin is omitted, it will DEFAULT TO 1.
// - If pMax is omitted, it will DEFAULT TO 1 BILLION.
//
//This function works in ANY cases (fully tested).
//Also, the distribution of the results has been fully tested and is 100% correct.
{
pMin = Math.round(pMin);
pMax = Math.round(pMax);
if (pMax < pMin) { let t = pMin; pMin = pMax; pMax = t;}
return Math.floor(Math.random() * (pMax+1 - pMin) + pMin);
}
I discovered a great new way to do this using ES6 default parameters. It is very nifty since it allows either one argument or two arguments. Here it is:
function random(n, b = 0) {
return Math.random() * (b-n) + n;
}
This works for me and produces values like Python's random.randint standard library function:
function randint(min, max) {
return Math.round((Math.random() * Math.abs(max - min)) + min);
}
console.log("Random integer: " + randint(-5, 5));