@seanjtaylor Is there reason to think there is a relationship between pop'n size & age distribution in the pop'n of interest? When such a relation exists eg size biased predation, models are possible. Archeologists use tools to estimate human impact on shellfish populations (midden analysis)
Facebook's Core Data Science team has launched a Request for Proposals for $150k of grant money for applied statistics research. The final deadline to submit is October 30th. More details at https://t.co/fhR756wDmg
@hadleywickham@SAS Credit card companies often have services to help track down and provide compensation for lost baggage. Try contacting the CC you used to purchase the ticket
Thanks to grad school friends @aaronjgoodman@SJBehling & @hljordt I got to spend yesterday morning under the Puget Sound with my favorite fishes. Thanks to my AMAZING undergrad, my transfer in the afternoon was both more fun and faster! Feeling refreshed & very lucky.
@fredbenenson Some banks companies, e.g. BoA, let you make a one time use CC # with a custom expiration date and limit. That probably makes it just Bad, rather than Very Bad.
I’m looking for graduate students and a research assistant for my new computational evolution lab at @IDCHerzliya starting Oct 2018
Details: https://t.co/BSHcSzNoVE
@EconAndrew Fair point. For that code, I vote let the warnings print. If things end up breaking later on some unexpected input, it's a good hint on where to start looking for bugs.
@EconAndrew Exactly. If it's production code verbose > broken. E.g. with the natural join, if data frame 2 somehow had a column in data frame 1 that was not expected, the natural join would work, but give you something you did not want. Better to be more explicit. But, for EDA, let it print.
@MendeleySupport Getting this error for weeks now: "Sorry, there was a problem syncing your library: Invalid format: "2018" is too short (through reference chain: com.mendeley.documents.api.Builder["accessed"]). Error ID: RXNW_JX28sk"
@hadleywickham apropos of your comments today about the importance of process in data science, an article on developing and documenting workflows for RL models. https://t.co/jnMkyrQCHD Much of this applies to analysis and modeling challenges in general, not just RL.