The first pair assignment is designed to develop your understanding of file structures, version control, and basic R data structures and descriptive statistics. Each pair will create a new public GitHub repository. The repository should be fully documented, including with a descriptive README.md file. The repository will include R source code files that access at least two core R data sets, perform basic transformations on the data, and illustrate the datas' distributions using a variety relevant of descriptive statistics. At least one file must dynamically link to another in a substantively meaningful way. Finally, another pair must make a pull request and it should be discussed and merged. Deadline 2 October, 10% of final grade.
Please run the file Assignment1_Master as it contains the dynamic links to two datasets. If you have an interest in fertilizer rates consult the Assignment1_file2.R R script for a third data set.
Description of chosen data sets:
- women contains average heights and weights for American Women
- InsectSprays contains the counts of insects in agricultural experimental units treated with different insecticides.
- main_data contains data on fertilizer consumptions in various countried from 2005-2011
We made two pull requests:
- The first one to https://github.com/gtarriba/GabrielRepo. We added message=FALSE in swisspres.Rmd to suppress message in output.
- The second one to https://github.com/ChristopherCosler/CollaborativeDataAnalysisChristopherAndLisa to suggest to add a citation of the R software.