The main goal of the group project is to use several tools that you have aquired during RaukR.
The three datasets supplied by RaukR can be installed using:
devtools::install_github("Sebastian-D/ExploreData")
Visit the github page, https://github.com/Sebastian-D/ExploreData, for more information on the datasets.
Work in groups on a dataset, either one of your own or one supplied by RaukR. During the project you should:
R package
and/or a shiny app
with functions applicable to your dataset.ggplot2
or similar extended functionality plotting packages.tidyverse
functions to tidy or massage the data.While these are suggestions, and not mandatory, do attempt to use many of the things you have learned. You are of course free to use any and all of the concepts taught during the course.
Each group will have 10 minutes to present on Thursday morning followed by 5 minutes for questions. Generate the presentation using Rmarkdown and any other presentation specific R packages that you wish (for example xaringan
).
Good luck!
## R version 4.1.0 (2021-05-18)
## Platform: x86_64-apple-darwin20.4.0 (64-bit)
## Running under: macOS Big Sur 11.4
##
## Matrix products: default
## LAPACK: /usr/local/Cellar/r/4.1.0/lib/R/lib/libRlapack.dylib
##
## locale:
## [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] fontawesome_0.2.1 captioner_2.2.3 bookdown_0.22 knitr_1.33
##
## loaded via a namespace (and not attached):
## [1] compiler_4.1.0 magrittr_2.0.1 htmltools_0.5.1.1 tools_4.1.0 yaml_2.2.1 stringi_1.6.2
## [7] rmarkdown_2.8 stringr_1.4.0 xfun_0.23 digest_0.6.27 rlang_0.4.11 evaluate_0.14
Built on: 11-Jun-2021 at 11:07:04.
2021 • SciLifeLab • NBIS • RaukR