Shouldn't be too hard--just whip out some factor analysis on those variables (if you think that there is a good bit of correlation between them) or do a decision tree or stepwise regression to narrow down the variables to ones that are most important.
Let me know if you have any questions.
Sender: [address removed]
To: [address removed]
ReplyTo: [address removed]
Subject: [nyhackr] Malaria research; R help needed
Sent: Dec 28,[masked]:40 PM
We have a 25-dimensional dataset, which we need to reduce to some smaller number of variables to enable human interaction with the data.
Looking for someone with stats expertise-- any maybe R, if useful-- to help develop code for this purpose. Or at least: to advise a developer who doesn't know anything about stats how to do it.
Any interest or further questions, pls send a note at http://www.gridre...
Please Note: If you hit "REPLY", your message will be sent to everyone on this mailing list ([address removed])
This message was sent by Matt ([address removed]) from New York Open Statistical Programming Meetup.
To learn more about Matt, visit his/her member profile: http://www.meetup...
To unsubscribe or to update your mailing list settings, click here: http://www.meetup...
Meetup, PO Box 4668 #37895 New York, New York[masked] | [address removed]
Sent via BlackBerry by AT&T