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Introduction to R

Learn R programming in a structured manner with this course covering console operations, scripts, data visualization, analysis techniques, and more. Enhance your skills with hands-on practice and real-world examples.

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Introduction to R

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  1. Introduction to R Sandersan Onie UNSW Sydney, School of Psychology

  2. Table of Contents • Why Learn R (15 minutes) • R Introduction (10 minutes) • Console Operations • Scripts • R Markdown • Functions (10 minutes) • Basic operations (10 minutes) • Loading Packages • Loading Files • Data Types • Data Manipulation using Dplyr and Reshape2 (30 minutes) • Data Visualization using ggplot2 (30 minutes) • Data Analysis using lme4 and (30 minutes) • T-test • Regression • ANOVA

  3. Why Learn R? • Speed • Logic • Flexibility

  4. Programming

  5. R Introduction Doing things in the console Doing things in the script Doing things in Markdown

  6. What are functions? Functions are multiple steps bundled into a single command. Typically in the format of: function(argument 1, argument 2, argument 3..) E.g. Cook(fish, grill) Within Cook, there is: wash, chop, prepare dish, heat grill, grill and plate. E.g. Cook(fish, braise) Within Cook, there is: wash, chop, prepare dish, heat stove, braise and plate.

  7. Basic Operations Loading Packages Packages are a ‘package’ of functions which are normally associated with one another Loading Files

  8. Data Types Loading Packages Loading Files

  9. Dplyr Dplyr is perhaps the best package for data manipulation. Most often we’ll be using: dplyr::select dplyr::group_by dplyr::summarize dplyr::rename

  10. How to Google There are some great programming websites including: Stackoverflow

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