Final project suggestions

[gklarenberg]

@drshaffer1997
Based on what is on Github right now, and the grading rubric, add and/or improve the following:

• Update the README.md file with appropriate information about your project;
• Remove any notes text files that are no longer needed;
• Add a metadata file (that explains the headers in your data file(s)), or several. You can make a metadata folder if that makes things easier;
• Scripts:
  * Add headers with info (your name, date, contact details);
  * Remember that dplyr, readr, tidyr etc are all part of the tidyverse... I would suggest to just load tidyverse to have everything in one go;
  * The loop in lines 27-30 does not work because read_csv() also needs to know which folder the files are in (because your Rproject is in your "top" folder). So something like data <- read_csv(paste0("01_Raw_data/deluca/", filename)) on line 29 should work. Then, with stringr functions (also loaded with tidyverse) you could extract the collar number from the filename and add it as a column - all inside the loop - and bind the data together.
  * I am not sure what you mean with the comments in lines 67-68 (what do you mean with "groups"?). Give me a bit more detail and we can figure it out.
  * Make sure everything runs from scratch before you submit your final project.
• Add code so the figures are written out to the figures or outputs folder (no manual saving);
• If you end up only having figures as outputs, it's fine to leave the Outputs folder empty (or just have the dummy text file in it);
• Add information to the Documentation folder (e.g. articles or manuals about data collection, information on coyotes in Florida, your research proposal, etc.)

Make sure to check the rubric before submitting a screenshot on Canvas of your finalized project: I would hate to subtract points because components are missing...!