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Generates lists of pseduo random numbers, in either a uniform, normal, exponential, or binomial distribution. The first parameter is a string, saying which distribution to use. It can either be the English "normal," "binomial" etc. or the name of the corresponding R function, "rnorm," "rbinom," etc. The second parameter is the number of pseudo random numbers to return. The other numerical parameters vary based on which distribution it is, but generally they are similar to the R signatures. Examples: ["rnorm", 1000, 0.0, 1.0] - a normal/Gaussian distribution, 1000 numbers, mean of 0 and standard deviation of 1 ["runif", 1000, 0.0, 1.0] - 1000 numbers distributed uniformally between 0 and 1 ["rexp", 10000, 2, 0.0] - 10000 numbers from an exponential distribution, with gamma of 2. The 0 is a placeholder and is not used in this case. ["rbinom","10000", ".5"] - 10000 numbers from a binomial distribution (think coin flips), with a probability of .5 of being either 1 or 0 Note, due to the way the JSON formatting is handled, decimal numbers less than one must be enclosed in quotes. So 1.0 is fine, but 0.5 will cause a JSON format error and must be written as "0.5".

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1. Type your input

2. See the result

Running algorithm...

3. Use this algorithm

curl -X POST -d '{{input | formatInput:"curl"}}' -H 'Content-Type: application/json' -H 'Authorization: Simple YOUR_API_KEY' https://api.algorithmia.com/v1/algo/pauljabernathy/RandomNumberGenerator/0.1.5
View cURL Docs
algo auth
algo run algo://pauljabernathy/RandomNumberGenerator/0.1.5 -d '{{input | formatInput:"cli"}}'
View CLI Docs
import (
  algorithmia "github.com/algorithmiaio/algorithmia-go"

input := {{input | formatInput:"go"}}

var client = algorithmia.NewClient("YOUR_API_KEY", "")
algo, _ := client.Algo("algo://pauljabernathy/RandomNumberGenerator/0.1.5")
resp, _ := algo.Pipe(input)
response := resp.(*algorithmia.AlgoResponse)
View Go Docs
import com.algorithmia.*;
import com.algorithmia.algo.*;

String input = "{{input | formatInput:"java"}}";
AlgorithmiaClient client = Algorithmia.client("YOUR_API_KEY");
Algorithm algo = client.algo("algo://pauljabernathy/RandomNumberGenerator/0.1.5");
AlgoResponse result = algo.pipeJson(input);
View Java Docs
import com.algorithmia._
import com.algorithmia.algo._

val input = {{input | formatInput:"scala"}}
val client = Algorithmia.client("YOUR_API_KEY")
val algo = client.algo("algo://pauljabernathy/RandomNumberGenerator/0.1.5")
val result = algo.pipeJson(input)
View Scala Docs
var input = {{input | formatInput:"javascript"}};
           .then(function(output) {
View Javascript Docs
using Algorithmia;

var input = "{{input | formatInput:"cs"}}";
var client = new Client("YOUR_API_KEY");
var algorithm = client.algo("algo://pauljabernathy/RandomNumberGenerator/0.1.5");
var response = algorithm.pipe<object>(input);
View .NET/C# Docs
var input = {{input | formatInput:"javascript"}};
           .then(function(response) {
View NodeJS Docs
import Algorithmia

input = {{input | formatInput:"python"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('pauljabernathy/RandomNumberGenerator/0.1.5')
print algo.pipe(input)
View Python Docs

input <- {{input | formatInput:"r"}}
client <- getAlgorithmiaClient("YOUR_API_KEY")
algo <- client$algo("pauljabernathy/RandomNumberGenerator/0.1.5")
result <- algo$pipe(input)$result
View R Docs
require 'algorithmia'

input = {{input | formatInput:"ruby"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('pauljabernathy/RandomNumberGenerator/0.1.5')
puts algo.pipe(input).result
View Ruby Docs
use algorithmia::Algorithmia;

let input = {{input | formatInput:"rust"}};
let client = Algorithmia::client("YOUR_API_KEY");
let algo = client.algo("pauljabernathy/RandomNumberGenerator/0.1.5");
let response = algo.pipe(input);
View Rust Docs
import Algorithmia

let input = "{{input | formatInput:"swift"}}";
let client = Algorithmia.client(simpleKey: "YOUR_API_KEY")
let algo = client.algo(algoUri: "pauljabernathy/RandomNumberGenerator/0.1.5") { resp, error in
View Swift Docs
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