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randomnumber

R Data Structure Dataset

How to generate random numbers from various statistical distributions using R

n this post, we show how to generate random numbers into vector and matrix in R programming, from various statistical distributions. Specifically, we focus several basic and widely used statistical distributions here, namely, normal distribution, continuous uniform distribution, binomial distribution and Poisson distribution.

By wilsonzhang746, 1 yearMarch 29, 2024 ago
R Programming

Using Lognormal distributions in R programming

Lognormal distribution in probability and statistics is used to model the distribution of a positive random variable Y, if Y = ln(X) has a normal distribution with mean μ and standard deviation σ.

By wilsonzhang746, 1 yearDecember 20, 2023 ago
R Programming

Implementing beta distribution in R programming

Beta distribution is a family of distributions which are used to model the probability of continuous random variables defined on [0, 1]. There are two parameters , α and β in Beta distribution. A continuous uniform distribution defined on [0, 1] is actually a special case of a beta distribution, when both α and β equal 1.

By wilsonzhang746, 1 yearDecember 17, 2023 ago
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