R for Data Science Cookbook

Chapter 7. Simulation from Probability Distributions

This chapter covers the following topics:

• Generating random samples
• Understanding uniform distribution
• Generating binomial random variates
• Generating Poisson random variates
• Sampling from normal distribution
• Sampling from chi-squared distribution
• Understanding Student's t-distribution
• Sampling from a dataset
• Simulating the stochastic process

Introduction

To handle the uncertainty of real-world events, we can use probability to measure the likelihood of whether an event will occur. By definition, probability is quantified with a number between 0 and 1; the higher the probability (closer to 1), the more certain we are that an event will occur.

As statistical inference is used to deduce the properties of a ...