By installing this package, you add 17 handcrafted lessons to your RStudio Tutorials Pane. Get to know basic statistics and R interactively and self paced.
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Language: German
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Audience: Written for statistic newbies, in our case 3rd semester bachelor students of environmental and civil engineering
Prerequisites: R + RStudio installed
Copy the following code into your RStudio console pane and hit Enter.
install.packages(c("devtools", "learnr"))
devtools::install_github("statistik-lehre/rtutorials")Installation Error Help
Error: If R reports an error like
Error in
utils::download.file(url, path, method = method, quiet = quiet, :
Herunterladen von
‘<https://api.github.com/repos/statistik-lehre/rtutorials/tarball/HEAD>’
fehlgeschlagen
this could be due to the large size of the package in relation to your
download speed. install_github() has a default timeout of 60 seconds.
Set a longer timeout with the command below and retry the installation.
options(timeout = 9999999)
devtools::install_github("statistik-lehre/rtutorials")Error: Another error, although more uncommon looks like this:
Timeout was reached: [api.github.com] Resolving timed out after 10000 milliseconds
Solution: Try to connect to the internet. If you are connected, wait a few minutes and try again. Likely, this error occurs because you hit the download rate limit of the GitHub API, e.g. installed too many large packages from GitHub in a short period of time.
All tutorials are in German. Here are the titles translated to English for the convenience of the English readers.
Note that tutorials are being written and published step by step, the
list below includes planned tutorials as well. Look at inst/tutorials
in the main branch, it is the most up to date way of finding out what is
published at the moment.
| Tutorial Subject | Tutorial name |
|---|---|
| Introduction | 1a_intro |
| Exploring Functions and Arguments | 1b_funktionen |
| Scientific Process | 1c_prozess |
| Vectors | 2a_vektoren |
| Indexing | 2b_indizierung |
| Data Frames | 2c_dataframes |
| Data Import | 3a_import |
| Scales and Factors | 3b_skalen |
| Measures of Central Tendency | 3c_zentraletendenz |
| Measures of Spread | 4a_dispersion |
Visualization using ggplot2 |
4b_vis |
| The Pipe Operator | 4c_pipe |
| Data Wrangling | 4d_datawrangling |
| Sampling | 5a_sampling |
| t-tests | 5b_ttest |
| Correlations | 6a_korrelationen |
| Simple Linear Regression | 6b_regression |
The graphical way
In RStudio, you will see a tutorials tab in the top right. Click it to
select from different tutorials and start them. You will see all
tutorials of all different packages, including example tutorials from
the learnr package.
It might require an RStudio restart until the tutorials of the
rtutorials package appear.
Click “Start Tutorial” to learn interactively. That’s it!
Below is some code which achieves the same thing without a navigating a click- and scrollable menu surface.
The command way
To list all available tutorials from rtutorials:
learnr::available_tutorials(package = "rtutorials")
#> Available tutorials:
#> * rtutorials
#> - 1a_intro : "Einführung"
#> - 1b_funktionen : "Funktionen erkunden"
#> - 1c_prozess : "Wissenschaftlicher Prozess"
#> - 2a_vektoren : "Vektoren"
#> - 2b_indizierung : "Indizierung bei Vektoren"
#> - 2c_dataframes : "Arbeit mit Tabellen"
#> - 3a_import : "Datenimport"
#> - 3b_skalen : "Skalenniveaus"
#> - 3c_zentraletendenz : "Maße der zentralen Tendenz"
#> - 4a_dispersion : "Dispersionsmaße"
#> - 4b_vis : "Visualisierung"
#> - 4c_pipe : "Pipe"
#> - 4d_datawrangling : "Data Wrangling"
#> - 5a_sampling : "Stichprobenkennwerteverteilung"
#> - 5b_ttest : "t-Tests"
#> - 6a_korrelationen : "Korrelationen"
#> - 6b_regression : "Regression"And to run the individual tutorials, run:
learnr::run_tutorial("name", package = "rtutorials")For example:
learnr::run_tutorial("1a_intro", package = "rtutorials")Feedback and contributions are welcome!
If you spot a typo, some incorrect content or see just a better way to do it, you are welcome to collaborate. Either report it as an issue or even better, fix it yourself!
Fork the repo, contribute and please submit your changes with a pull request.
The tutorial source code is found at inst/tutorials/…/….Rmd.
A template tutorial for the stylings we use is found at
inst/tutorials/template, but not included in the built package.
For more in depth guidelines on learnr tutorials, check out the
learnr documentation.
Also, we try to maintain a set of good first issues that helps you get
started with contributing to this project.
We would be happy to hear from you if you want to modify or redistribute the contents of this course.
This software comes to you with an OpenSource license, because we are fond believers in the strength of commons.
However, the use is restricted to noncommercial purposes and only applies to the contents of this repository. Other course materials that you may get as one of our students are subject to copyright.
The tutorials are written by Lukas Bruelheide, Gesa Graf and Marie Klosterkamp, who is also leading the project.
Kassel University, HessenHub, 2022 - 2024