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00_PreCourseMaterial.qmd
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---
title: "Pre-course material"
---
We will be making use of [R](https://www.r-project.org/) programming using [RStudio](https://www.rstudio.com/) in this course. Please ensure you have the latest version of this software. There will be lots of variation in how much R experience each student will have, so we have compiled some pre-course material to allow everyone to get up to the minimal level required to fully participate and enjoy the course.
Each practical P01 - P04 below comes with a prerecorded lecture and an associated practical. Before you get started, please make sure you download R and Rstudio (local version - free) [here](https://posit.co/download/rstudio-desktop/).
- P01 - Introduction to R: [Slides](slides/Lecture_P01_IntroToR.pdf),
- Practical - [part 1](00_01_1_IntroToR_practical.qmd), [part 2](00_01_2_IntroToR_practical.qmd), [part 3](00_01_3_IntroToR_practical.qmd)
- Solutions - [part 1](00_01_1_IntroToR_solutions.qmd), [part 2](00_01_2_IntroToR_solutions.qmd), [part 3](00_01_3_IntroToR_solutions.R)
- Recording - [part 1](https://www.youtube.com/watch?v=Q1MtvNyTAaA&list=PLu1O_bOojtM5DH41DQfybtxCyX8hNq8zk&index=1), [part 2](https://www.youtube.com/watch?v=exGVoIcavb8&list=PLu1O_bOojtM5DH41DQfybtxCyX8hNq8zk&index=2), [part 3](https://www.youtube.com/watch?v=ITQ6DghaBnk&list=PLu1O_bOojtM5DH41DQfybtxCyX8hNq8zk&index=3)
- P02 - Programming skills, more R fun(ctionality): [Slides](slides/Lecture_P02_ProgrammingSkills.pdf), [Practical](00_02_programming_practical.qmd), [Solutions](00_02_programming_solutions.qmd), [Recording](https://www.youtube.com/watch?v=91WBWzkPgf4&list=PLu1O_bOojtM5DH41DQfybtxCyX8hNq8zk&index=4)
- P03 - Plotting model output with `ggplot2`: [Slides](slides/Lecture_P04_IntroToGGplot.pdf), [Practical](00_04_ggplot_practical.qmd), [Solutions](00_04_ggplot_solutions.qmd), [Recording](https://www.youtube.com/watch?v=J6kL4QyBH2Q&list=PLu1O_bOojtM5DH41DQfybtxCyX8hNq8zk&index=5)
- P04 - Introduction to Git using Github: [Slides](slides/Lecture_P05_IntroToGit.pdf), [Practical](00_05_git.qmd), [Recording](https://www.youtube.com/watch?v=J6kL4QyBH2Q&list=PLu1O_bOojtM5DH41DQfybtxCyX8hNq8zk&index=6)
You are welcome to listen to any of the recorded lectures and complete any of the associated practicals regardless of your experience. However, we've made a list of some recommendations below to guide what is expected:
- If you are new to R, please listen to lectures P01 / P02 / P03 and complete the associated practicals.
- For those of you who have used R previously but feel a bit rusty, you may find P02 / P03 helpful to get you back up to speed. If you try P02 and feel you need some more explanation, go back to P01 and start there.
- If you have never used 'tidy data' or ggplot then complete P03.
- If you are new to Git and Github, please listen to lecture P04.
上述视频录像均上传于Youtube。中国大陆地区的学员如无法打开可以通过[腾讯微云](https://share.weiyun.com/iHEKRo5d)进行下载。下载密码请联络[Dr. Yang Liu](mailto:%20yang.liu@lshtm.ac.uk)获取。
**Optional Further Reading and Exercises**\
If you would like additional practice with R, we recommend the following online resources:
- <http://tryr.codeschool.com/>
- <https://monashdatafluency.github.io/r-intro-2/>
- <https://www.r-bloggers.com/how-to-learn-r-2/>
- <https://www.edx.org/course/introduction-to-r-for-data-science-2>