Re: [R-pkg-devel] UseR! Session: Making R easier to use (was: Navigating the jungle of R packages)

2017-02-11 Thread Jim Lemon
Hi all, My point circles around the keyword "clueless". The difference between a person who is trying to find out about logistic regression (and may not even be familiar with that term) and one who is trying to test the assumption of proportional odds in an ordered logistic regression is often that

Re: [R-pkg-devel] UseR! Session: Navigating the jungle of R packages.

2017-02-11 Thread Dirk Eddelbuettel
On 11 February 2017 at 16:41, Ben Bolker wrote: | I don't have a problem with this, but there are a few challenges. | | - continuity: there used to be an R wiki, but it eventually disappeared | (http://wiki.r-project.org now redirects to the main www.r-project.org page) Quite right. | - act

Re: [R-pkg-devel] UseR! Session: Navigating the jungle of R packages.

2017-02-11 Thread Ben Bolker
I don't have a problem with this, but there are a few challenges. - continuity: there used to be an R wiki, but it eventually disappeared (http://wiki.r-project.org now redirects to the main www.r-project.org page) - actual contributions: I never got much feedback or contributions to http://g

Re: [R-pkg-devel] UseR! Session: Navigating the jungle of R packages.

2017-02-11 Thread Zhian Kamvar
Hello, Jumping in here because those of us in the population genetics community have semi-recently tried to tackle some of these issues of giving users a clear sense of how R packages can work together in an analysis [0]. We created a website [1] that hosts vignettes openly contributed and cura

Re: [R-pkg-devel] UseR! Session: Navigating the jungle of R packages.

2017-02-11 Thread J C Nash
Certainly Google can be useful, but it can also be infuriatingly time-wasting when one needs to sort out related tools that do slightly different things. Then good, up-to-date task views are important, and wrappers such as I and some others are trying to develop can be a way to ease the chore of

Re: [R-pkg-devel] UseR! Session: Navigating the jungle of R packages.

2017-02-11 Thread J C Nash
Thanks for this. Besides stirring the pot by suggesting this suggestion, my own approach has been to try to do this with optimr/optimrx for "optimization" (actually function minimization with possibly bounds). Hans Werner Borchers has been charging ahead with a global optimization wrapper gloptim