Open tracykteal opened 9 years ago
We have a growing group of R Users at USEPA and I have been doing some training lately trying to help build R skills within our Office of Research and Development. So I would be really interested in what comes out of this discussion. I will, however, not be there. Don't know if there is a good way to listen in on these discussions, but I would love to do that if possible. Can, at a minimum, follow along with issues on github.
Triple upvote on this one. We at USGS are also using @jhollist 's materials (too bad he won't be there) and hope to undergo the data carpentry training in the near future. We are targeting R skill building across the Bureau. Would love to contribute to this session and learn from the rest of you.
Good to discuss in person. I think the email discussion over at 'pentry between the two schools of 'same example across languages' and the 'rather show off R strength for modeling' never converged.
Good to discuss in person
Right, that is the idea. Email discussions on such matters never lead anywhere (see SWC discuss list).
I'm certainly up for that discussion in person On Wed, Mar 4, 2015 at 10:30 Karthik Ram notifications@github.com wrote:
Good to discuss in person
Right, that is the idea. Email discussions on such matters never lead anywhere (see SWC discuss list).
— Reply to this email directly or view it on GitHub https://github.com/ropensci/unconf/issues/23#issuecomment-77178808.
:+1:
:+1:
I am 100% down with having this discussion.
On Wed, Mar 4, 2015 at 10:08 AM, Tracy Teal notifications@github.com wrote:
At the unconference will be a lot of people involved in various teaching efforts in R. It seems like a great opportunity to get together to discuss what has been working most effectively and in different formats (workshops, courses, MOOCs) and where we might share or help contribute to each other's materials.
@jennybc https://github.com/jennybc @_inundata @eddelbuettel https://github.com/eddelbuettel @mine-cetinkaya-rundel https://github.com/mine-cetinkaya-rundel @richfitz https://github.com/richfitz @benmarwick https://github.com/benmarwick @rdpeng https://github.com/rdpeng @fmichonneau https://github.com/fmichonneau @amyehodge https://github.com/amyehodge @hadley https://github.com/hadley
For Data Carpentry, I'm interested in how can we can teach people new to R the big wins, and the things that they'll really use, without presenting things as too magical. We're also interested in content and perspectives on teaching how to work with APIs in R.
— Reply to this email directly or view it on GitHub https://github.com/ropensci/unconf/issues/23.
Roger D. Peng | @rdpeng https://twitter.com/rdpeng | http://www.biostat.jhsph.edu/~rpeng/
Count me IN.
Yep me too
Sounds like a great topic.
~ Amy
Amy E. Hodge, PhD Science Data Librarian Data Management Services Branner Earth Sciences Library, 212 Mitchell 397 Panama Mall; MC 2211 Stanford University Stanford, CA 94305 amyhodge@stanford.edu 650.556.5194
----- Original Message -----
From: "Ben Marwick" notifications@github.com To: "ropensci/unconf" unconf@noreply.github.com Cc: "amyehodge" amyhodge@stanford.edu Sent: Wednesday, March 4, 2015 3:24:52 PM Subject: Re: [unconf] Effective teaching in R (#23)
Yep me too
— Reply to this email directly or view it on GitHub .
Glad to see so much support for this topic (I hoped so!). How about we set aside 2 hours for this discussion? If there is another discussion type topic, we could do that in a morning or afternoon session, perhaps on Friday.
+1, I'm in!
Thanks, the interest in this has been terrific! Looking forward to the discussion. It would be good for the discussion to have some structure, so maybe we could think about how to do that.
Thanks for the panel discussion @jennybc @mine-cetinkaya-rundel @hadley @benmarwick @rdpeng and all the good questions. Notes from the discussion are here https://ropensci.etherpad.mozilla.org/14 and we'll try to edit the video and get that posted.
At the unconference will be a lot of people involved in various teaching efforts in R. It seems like a great opportunity to get together to discuss what has been working most effectively and in different formats (workshops, courses, MOOCs) and where we might share or help contribute to each other's materials.
@jennybc @karthik @eddelbuettel @mine-cetinkaya-rundel @richfitz @benmarwick @rdpeng @fmichonneau @amyehodge @hadley
For Data Carpentry, I'm interested in how can we can teach people new to R the big wins, and the things that they'll really use, without presenting things as too magical. We're also interested in content and perspectives on teaching how to work with APIs in R.