BN Data Ingestion Refactoring

[rbartelme]

• [x] Get Season 6 output from @MagicMilly's script into CyVerse folder with MAC season 4 data
• [x] Process Season 6 data with R script
• [x] Add season 4 date filtering for alternative output - [ ] Refactor clean-up R script to have functional programming with purrr's map() function operating across a list of Sorghum datasets containing the same cultivars
• This will make adding in KSU or Clemson data easier in the future, since the input can be a list of data frames.
• Output should split the list of dataframes into individual objects
• Alternatively the write.table() could be implemented in a function.
• [x] Rename script to match general use cases
• [x] Make sure all input files for ingestion are in the same CyVerse Data Store folder

[rbartelme]

Got season 6 data transferred into the CyVerse datastore directory as /iplant/home/rbartelme/Season6_raw/. The trait data are season_6_2020-06-25T204820.csv and weather data are weather_station_gdd_season_6_2020-06-25T205200.csv.

[rbartelme]

Added cloned commands with season 6 data, this code will need to be refactored, but will be good enough to run some test cross-validations for issue #28

[rbartelme]

Added to-do, add date filtering for season 4.

[rbartelme]

Crossed out functional programming solution, this will be a separate issue in the next sprint. Without filtering of season 4 mac treatments in the jupyter notebook, it will be hard to batch input the data frames to operate across all them equally with purrr's map function.