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index.Rmd
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index.Rmd
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---
output:
html_document:
css: style.css
---
[Back to the README](README.html)
---
# Introduction to R
### Day 1
09:00 - 10:30 (1.5h)
* 1 Introduction to R and the RStudio editor
* 1.1 [Make sure everyone has the correct software](day1/lesson1/lesson1_1.html)
* 1.2 [How to enter commands in R](day1/lesson1/lesson1_2.html)
* 1.3 [Comparison of an R-script and a do-file](day1/lesson1/lesson1_3.html)
* 2 Open an existing dataset in R
* 2.1 [Data from Excel, Stata, and text](day1/lesson2/lesson2_1.html)
* 3 Data structure in R
* 3.1 [What is a dataframe?](day1/lesson3/lesson3_1.html)
* 3.2 [What types of data can you store?](day1/lesson3/lesson3_2.html)
* 4 Introduction to exploring and managing your data in R
* 4.1 [Summarize](day1/lesson4/lesson4_1.html)
* 4.2 [Tabulate](day1/lesson4/lesson4_2.html)
* 4.3 [Subsetting](day1/lesson4/lesson4_3.html)
10:30 - 11:00 Coffee and snack provided
11:00 - 12:00 (1.0h)
* 5 Continue with exploring and managing your data in R
* 5.1 [Generating new variables](day1/lesson5/lesson5_1.html)
* 5.2 [Appending](day1/lesson5/lesson5_2.html)
* 5.3 [Merging](day1/lesson5/lesson5_3.html)
12:00 - 13:00 Lunch provided
13:00 - 15:00 (2.0h)
* 6 Analysis of data in R:
* 6.1
[Work through examples from Veterinary Epidemiologic Research in R.](day1/lesson6/lesson6_1.html)
15:00 - 15:30 Coffee and snacks provided
15:30 - 17:00 (1.5h)
* 7 Introduction to visualization in R
* 7.1 [How to plot your data](day1/lesson7/lesson7_1.html)
* 8 Demonstration of interactive and dynamic plotting and mapping in R
* 8.1 [DataTables](day1/lesson8/lesson8_1.html)
* 8.2 [Leaflet interactive maps](day1/lesson8/lesson8_2.html)
### Day 2
09:00 - 10:30 (1.5h)
* 9 [How to find and read R documentation](day2/lesson9/lesson9_1.html)
* 10 R Extensions
* 10.1 [How to find and use R extensions (packages)](day2/lesson10/lesson10_1.html)
* 10.2 [Demonstration of packages for veterinary epidemiology](day2/lesson10/lesson10_2.html)
* 11 [Install a package](day2/lesson11/lesson11_1.html)
10:30 - 11:00 Coffee and snacks provided
11:00 - 12:00 (1.0h)
* 12 Plotting continued:
* 12.1 [Plotting using the popular ggplot2 package](day2/lesson12/lesson12_1.html)
12:00 - 13:00 Lunch provided
13:00 - 15:00 (2.0h)
* 13 Communicate you findings with R
* 13.1 [Create a report with your analysis results, figures and your
interpretation in publication quality layout.](day2/lesson13/lesson13_1.html)
15:00 - 15:30 Coffee and snacks provided
15:30 - 17:00 (1.5h)
* 14 [Where to find resources for your next step in learning to use R](day2/lesson14/lesson14_1.html)
* 15 [Wrap up and question and answer period](day2/lesson15/lesson15_1.html)
* 16 [Demonstration of importing and analyzing sequence data](day2/lesson16/lesson16_1.html)