title	subtitle	author	date
Exercise #6	Fortgeschrittene Statistische Software für NF - SS 2022/23	Tom Jodl (12598878), Shuman Mo (12468087	`r Sys.Date()`

General Remarks

• You can submit your solutions in teams of up to 3 students.
• Include all your team-member's names and student numbers (Martrikelnummern) in the authors field.
• Please use the exercise template document to work on and submit your results.
• Use a level 2 heading for each new exercise and answer each subtask next to it's bullet point or use a new level 3 heading if you want.
• Always render the R code for your solutions and make sure to include the resulting data in your rendered document.
  • Make sure to not print more than 10 rows of data (unless specifically instructed to).
• Always submit both the rendered document(s) as well as your source Rmarkdown document. Submit the files separately on moodle, not as a zip archive.
• Make sure to submit you render your Rmarkdown as distill:distill_article and check the final output regarding any issues in formatting. Formatting errors may lead to point deductions.

Exercise 1: Building an R package (20 Points)

For this exercise we ask you to build an R package. We do not ask you to build any particular R package, but leave the choice of what your R package will do up to you, to keep it more interesting for you.

Instead of having particular tasks for you to complete, we have a list of requirements for your final R package and submission. Please submit an Rmd and render it as always, although you will only have to provide the short information asked for under Submission.

We advise you to start early with this exercise sheet and encourage you to reach out if you encounter issues during the creation of your package. For detailed information on all aspects of creating an R package, we highlight again, the great book on R packages by Hadley Wickham.

We look forward to seeing the cool packages you come up with and thank you for participating in the course!

Submission

a) Briefly describe in one sentences what your R package does and why you decided to choose this functionality. This is just intended to give us some context to better understand the package.

Creates a ggplot based on the selected Variables from a dataset. Either a Scatter- or Lineplot

b) To make installation easier, your R package should be in a public repository on GitHub. Provide the URL to the GitHub repository below:

e.g. https://github.com/<YOUR_GH_USERNAME>/<PACKAGE_REPOSITORY_NAME>

c) Your R package should be installable via remotes::install_github(). Before submitting your solution to this exercise sheet please test whether you can install your R package from GitHub. Provide the command below:

remotes::install_github("TomJodl/ggplotvis")

Functionality

a) Create a working R package that performs the task it is intended to do

b) Your R package needs to be installable (test this before submitting)

c) Your R package should contain at least 2 functions

d) The functions in your R package should be properly documented according to the Roxygen convention. Each function should include an @example tag.

e) The documentation for your package should be properly generated and up-to-date. After every change to the Roxygen comments of your functions, you will need to run devtools::document() again to do this.

f) The DESCRIPTION file of your package should be properly formatted and contain all the required dependencies of your package. It should also provide an accurate Title and Description for your package.