Advanced Programming with R: Final

Due date

The R package is due by the end of Tuesday December 10th.

The in-class presentation will be Thursday, December 12th.

Task

Expand upon midterm project with a new component and create an R package. The new component will be agreed upon on by Thursday November 21.

Deliverables

• An extension of the midterm project and package creation (70% of grade).
• An oral presentation of no more than seven minutes (30% of grade).

Requirements

Grading will be based on the following:

The presentation:

• The time allocation will be 7 minutes (5/100 points of penalty per extra minute).

• Presentation should be clear.

• It Should be presented with slides using quarto.

• Review of the problem which highlights the issue or “why” the problem needs solving (may consider including visuals to highlight the issue; ~2 slides)

• Overview of the package until the midterm (~1 slide)

• The new feature of the coding solution (other than the R package itself; ~ 1 slide each)

• Provide a single example highlighting the package (~1-3 slides).

Tip

1. Fewer slides than minutes available; if not possible, make sure you spend less than a minute per slide (on average).
2. More figures and less text, i.e., avoid paragraphs.
3. Avoid diving into the details (or at least, most of your talk should be to the general audience).
4. Focus on what your audience would value the most.

The R package:

• Add a new function/feature to the R package using parallel computing or Rcpp (a must.)

• The package should have a README.md file with a brief description of the package.

• The package should pass R CMD checks using macOS, Ubuntu, and Windows for the R release and development versions (x6 R CMD checks). Notes are OK, but warnings are not (recall the usethis::use_github_action... function).

• The package should pass the R CMD check on Ubuntu using the R release version with the option --as-cran (more strict R CMD check.)

• The package should have a vignette that illustrates the use of the functions in the package.

Misc

Installing the package with the vignettes

You can install this package from the source using the following commands from the command line:

R CMD build .
R CMD INSTALL egpkg2024_1.0.tar.gz

The first command builds a tar.gz file that can be shared. This is what you share when you submit to CRAN. The second command installs the package in your computer. Notice that this approach builds the vignettes, making them available to your R session. Recall you can access vignettes using the vignette command like this:

vignette(package="dplyr")

Which will list the vignettes available to the dplyr R package (learn more typing ?vignette in your R console).