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r-crash-course's Introduction

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R Crash course program
Fabio Favoretto
4/15/2019
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This is the course material from an R-class @UABCS Much of the materials are from other sources, so please cite appropriately when and if reusing.

Course scheme

Day 1

  • Course presentation;
  • How to prepare a working directory (rules of good data science);
  • File names and type of data files;
  • The R studio IDE;
  • Reading and Writing Data;
  • Scripting;
  • Packages (and GitHub);
  • Ask for help;
  • Using the console
  • Practice
  • Using the scripts
  • Practice

Day 2

  • Welcome to the Tidyverse;
  • filter() #Pick observations by their values
  • arrange() #Reorder the rows
  • select() #Pick variables by their names
  • mutate() #Create new variables with functions of existing variables
  • summarise() #Collapse many values down to a single summary
  • group_by() #which changes the scope of each function from the entire dataset to a group
  • saving data
  • Welcome to ggplot2
  • Exploratory data analysis
  • Data visualization

Day 3

  • R-functions and shortcuts;
  • The purrr package;

Weblinks

Basics

Advanced

Visualization

Documents creation

Miscellaneous tutorials

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