Contact Us !
Welcome to DatSci Hub!
Please fill the following form if you have any queries about the site, advertising, or anything else.
We will revert you as soon as possible...!
Thank you for contacting us!
Have a great day
The Beginner’s Guide to Simulation in R: Simulation is the process of generating artificial data based on a set of assumptions or models. R programming provides a variety of functions and packages for simulating different types of data. In this blog post, we will cover the basics of simulation in R programming, including the most commonly used functions, distributions, and simulations using linear models. Functions for Simulation in R R programming provides various functions for simulation, such as: runif() – used to simulate data from a uniform distribution rnorm() – used to simulate data from a normal distribution rexp() – used to simulate data from an exponential distribution rgamma() – used to simulate data from a gamma distribution rpois() – used to simulate data from a Poisson distribution rbeta() – used to simulate data from a beta distribution rbinom() – used to simulate data from a binomial distribution rcauchy() – used to simulate data from a Cauchy distribution Distributio...
Comments
Post a Comment
Type your comment here.
However, Comments for this blog are held for moderation before they are published to blog.
Thanks!