https://github.com/lgatto/spr
Scientific Programming with R
https://github.com/lgatto/spr
Last synced: about 2 months ago
JSON representation
Scientific Programming with R
- Host: GitHub
- URL: https://github.com/lgatto/spr
- Owner: lgatto
- Created: 2013-05-10T10:53:22.000Z (almost 12 years ago)
- Default Branch: master
- Last Pushed: 2023-10-04T20:08:18.000Z (over 1 year ago)
- Last Synced: 2025-03-06T05:36:32.554Z (about 2 months ago)
- Language: HTML
- Size: 4.35 MB
- Stars: 9
- Watchers: 5
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
**Scientific Programming with `R`** (spr) is a course taught in the [MPhil in Computational Biology](http://www.ccbi.cam.ac.uk/Education/MPhil), Cambridge, UK. The content of the course is by [Stephen Eglen](http://www.damtp.cam.ac.uk/user/sje30/), with contributions from Laurent Gatto. Teaching by Stephen and, since 2012, Laurent. The complete course comprises 16 hours sessions, 8 lectures and 4 practicals.
See the [TeachingMaterial](https://github.com/lgatto/TeachingMaterial) repository for more material.
This material is licensed under the
[Creative Commons Attribution-ShareAlike 3.0 License](http://creativecommons.org/licenses/by-sa/3.0/).
## 2020 material
Material for 2020 is in the [2020 folder](2020/).
## Compiling under windows
- Install msys2 and update it.
- Install R, Rstudio through normal route
To get Rstudio ready, we may need to change a couple of settings
because if you have OneDrive (as I do), it will use that as your
home directory for evertything. If you don't mind storing lots of
extra things in onedrive, you can skip the next two steps.
- Tell Rstudio your default home directory. Go to Tools --> Global
Options and change the default working directory to something like
`C:/Users/steph`. Don't forget to press apply.
-
```
install.packages("tinytex", "ggplot2", "knitr", "patchwork")
tinytex::install_tinytex()g
```