Profile
rebeccmeister
Active Entries
- 1: Weekend cooking bender [food]
- 2: Slowly making progress on boathouse projects [rowing, projects]
- 3: The best I can do to summarize our NYC trip... [work, ants]
- 4: Rich/Poor [status, work]
- 5: More strawberry delights [food, gardening]
- 6: Saturday's adventure [rowing]
- 7: Some garden updates [gardening]
- 8: Soundscapes [status]
- 9: Trying to come back down to earth [status]
- 10: Day 8: Amsterdam to Albany [bicycling]
Style Credit
- Style: Neutral Good for Practicality by
![[personal profile]](https://www.dreamwidth.org/img/silk/identity/user.png)
timeasmymeasure
Expand Cut Tags
No cut tags
no subject
Date: 2014-10-04 12:54 am (UTC)Pretty much.
I don't think that R is the best choice for analyzing a super-complex dataset involving weather conditions, crop types, and crop yields. But then again, I don't know what program might be better for that purpose, either.
Depending on what's meant by "super-complex", some R libraries might work. But if you mean what I think you mean, probably a dedicated data-mining program.
Anyway, I'm glad you survived your talk on how to do statistics like a pirate. :)