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Writer's pictureClement Twumasi

Introduction to Advanced Data Analysis in R language (Fourth Lesson/Class): Monte Carlo Simulation

Prior knowledge of programming and statistics are not required. It's only an introduction to the first class, and we will continue every Saturdays with more advanced tasks. The main goal is to develop the interest of mathematical programming among students from Africa. However, anyone who interested is welcome to join and learn. This class will be a good introduction to data analysis with advanced statistical software like R.


For general information about the class, please visit the link below: https://piazza.com/clements_school_on_data_analysis/fall2020/ss401/info


For the personal profile of the instructor/tutor, click below: https://f36d003f-d71d-49cc-9fea-cbb325732ca8.filesusr.com/ugd/779116_8b81a5793af94ccdadec45b62b49cfcd.pdf


Personal website: https://twumasiclement.wixsite.com/website Below summarizes the content of this YouTube video (from Saturday's class dated Nov 07, 2020):


1. A brief introduction to looping (for loops and while loops) and the use of apply functions in R (apply, lapply, apply and tapply). How to store results from loops as a vector, list or data frame for use later.


2. Introduction to simulating probability distributions (binomial, Poisson, uniform, normal, lognormal and exponential probability distribution, amongst others).We shall introduce Monte Carlo Simulation for a throw or toss of a fair die.


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