Be able to use R to perform some of the most common statistical techniques used in the social sciences, namely a dimension reduction technique and OLS

This week covers the basics to get you started up with R. The Background Materials lesson contains information about course mechanics and some videos on installing R. The Week 1 videos cover the history of R and S, go over the basic data types in R, and describe the functions for reading and writing data.

Approximate time: 45 minutes. Learning Objectives. Describe what R and RStudio are. Interact with R using RStudio. Use the various components of RStudio. What is R? The common misconception is that R is a programming language but in fact it is much more than that. 1.3 R and statistics Our introduction to the R environment did not mention statistics, yet many people use R as a statistics system.

Here you can type R commands and run them. Just leave the cursor anywhere on the line where the Description. This repository has teaching materials for a hands-on Introduction to R workshop taught online. The workshop will introduce participants to the basics of R and RStudio.

R is a programming language and software environment for statistical analysis, graphics representation and reporting. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team.

Online live sessions on Monday from 13:00 to 16:30 and 17:30 to The course covers some introduction to what R is and why you should use In this video we introduce aspiring marine biologists to the basics of R and RStudio. R is the underlying statistical computing environment, but using R alone is no fun. RStudio is a graphical integrated development environment (IDE) that makes using R much easier and more interactive. Introduction to R 1.1Installing the R and R Studio software 1.1.1Windows Install R Downloadthe latest R installer (.exe) for Windows.

Introduction to R. Open to Government analysts Training category Data science, Using statistical computer programs Type of training Face to face, Online Length Two days

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However, most programs written in R are essentially ephemeral, written for a single piece of data analysis. 1.2 Related software and documentation An Introduction to R. Alex Douglas, Deon Roos, Francesca Mancini, Ana Couto & David Lusseau. March 31, 2021 R Introduction We offer here a couple of introductory tutorials on basic R concepts. It serves as background material for our main tutorial series Elementary Statistics with R. The only hardware requirement for most of the R tutorials is a PC with the latest free open source R software installed.
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R is a The following tutorials are helpful for beginners. DataCamp: Learn R & Become a Data Analyst. An Introduction to R: The free, succinct, “official” CRAN R Introduction to R and RStudio.

Introduction – Open Research Methods.
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This video introduces the Shiny framework for R and shows how to run a Shiny application. Video originally created for STA80006 Using R for Statistical

The purpose of introducing R online is to give you a good start working with R and to make sure that you have obtained some familiarity wiht R before the start of your course in biostatistics. R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems like Linux, Windows and Mac. This programming language was named R , based on the first letter of first name of the two R authors (Robert Gentleman and Ross Ihaka), and partly a play on the name of the Bell Labs Language S . This course is designed for those who have little to no prior programming experience in R or any other programming language.

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An Introduction to R. Alex Douglas, Deon Roos, Francesca Mancini, Ana Couto & David Lusseau. March 31, 2021

When doing operations on numbers, most functions will return NA if the data you are working with include missing values. Learn to use R: Your hands-on guide. Part 1: Introduction; Part 2: Getting your data into R; Part 3: Easy ways to do basic data analysis; Part 4: Painless data visualization This course is designed for those who have little to no prior programming experience in R or any other programming language. Its aim is to build up from the basics and teach you the capabilities of R. By the end of this course you will have acquired a valuable new skill for exploring datasets and creating impressive visualizations. The introduction was made with assistance from Anne Lyngholm Sørensen and Mads Møller Pedersen. The purpose of introducing R online is to give you a good start working with R and to make sure that you have obtained some familiarity wiht R before the start of your course in biostatistics.