Probability Distributions with R
The Series 3 of R video tutorials (Probability Distributions in R) will walk you through working with probability distributions in R with examples. Here we will learn to calculate probabilities using probability densities (f(x)) and probability distributions (F(x)), find quantiles of a distribution and take random samples from a distribution. We will also learn to use R programming software for Binomial distribution, Poisson distribution, Normal distribution, t- Distributions, z-scores and more all while working through examples and demonstrations. Discussions of other distributions have been left out as things become redundant.
Here are the R Video Tutorials:
(R video tutorial 3.1): Binomial Distribution in R: How to calculate probabilities for binomial random variables in R
(R video tutorial 3.2): Poisson Distribution in R: How to calculate probabilities for Poisson random variables in R
(R video tutorial 3.3): Normal Distribution, Z Scores, and Normal Probabilities in R: How to calculate probabilities, quantiles, percentiles and taking random samples for normally distributed variables in R
(R video tutorial 3.4): t Distribution and t Scores in R: How to find probabilities and percentiles for t-distribution using R programming langauge; these can be used to find p-values or critical values for constructing confidence intervals for statistics that follow a t-distribution
These videos can be used by beginners in R and anyone interested in statistic with R and data science with R. No prior knowledge of R programming is needed, just a passion to learn! We highly recommend to strat by watching the Series 1 of R video tutorials! The next R lectures, Series 4 of R video tutorials, will teach you how to perform Bivariate Analysis with R.
To install R go to http://www.r-project.org and for RStudio go to http://www.rstudio.com
Make sure to use the free datasets and R Scripts provided for you to get some hand on experience while watching the tutorials!
