Comments for Stack Exchange Stats Blog

Comment on AndyW says Small Multiples are the Most Underused Data Visualization by Viz. weighted regression in SPSS and some discussion | Andrew Wheeler

Viz. weighted regression in SPSS and some discussion | Andrew Wheeler — Thu, 23 May 2013 15:48:46 +0000

[...] multiple lines on the plot creates a difficult to envision distribution (here I have an example on the CV blog, and it is taken from Carr and Pickle (2009)). It may aid understanding uncertainty about the [...]

Comment on AndyW says Small Multiples are the Most Underused Data Visualization by Emmett Nicholas

Emmett Nicholas — Thu, 25 Apr 2013 00:40:05 +0000

Comment on Appendable saving in R by Antoine Lizée

Antoine Lizée — Thu, 11 Apr 2013 04:23:54 +0000

High Performance Computing. In short: Using big computers for big tasks during days...

Comment on Challenge alert — material identification by My posts on CrossValidated Blog | Andrew Wheeler

My posts on CrossValidated Blog | Andrew Wheeler — Tue, 09 Apr 2013 22:04:12 +0000

[...] OpenMP-ized C code with R, Appendable saving in R, Challenge alert – material identification, Welcome to the CV blog! and Two-way CRAN by Miron Kursa aka [...]

Comment on An open call to participation for the Cross Validated Journal Club by My posts on CrossValidated Blog | Andrew Wheeler

My posts on CrossValidated Blog | Andrew Wheeler — Tue, 09 Apr 2013 22:03:55 +0000

[...] An open call to participation for the Cross Validated Journal Club [...]

Comment on Using Deducer to work with R by My posts on CrossValidated Blog | Andrew Wheeler

My posts on CrossValidated Blog | Andrew Wheeler — Tue, 09 Apr 2013 22:03:36 +0000

[...] Using Deducer to work with R [...]

Comment on AndyW says Small Multiples are the Most Underused Data Visualization by Why I feel SPSS (or any statistical package) is better than Excel for this particular job | Andrew Wheeler

Sat, 30 Mar 2013 17:02:40 +0000

[...] So certainly, this particular job, could be done in Excel, as it does not require any functionality unique to a stats package. But why hamstring myself with these limitations from the onset? Frequently after I build custom, routine analysis like this I continually go back and provide more charts, so even if I have a good conceptualization of what I want to do at the onset there is no guarantee I won’t want to add this functionality in later. In terms of charting not having flexible small multiple charts is really a big deal, they can be used all the time. [...]

Comment on Using Emacs to work with R by chlalanne

chlalanne — Sun, 03 Mar 2013 07:01:21 +0000

Yes, it is eldoc (http://emacswiki.org/emacs/ElDoc). There is also some autocomplete features available in ess-dev (http://www.emacswiki.org/emacs/ESSAuto-complete).

Comment on Using Emacs to work with R by Pavo

Pavo — Fri, 22 Feb 2013 03:33:47 +0000

I'm wondering how to obtain the feature to display a function's arguments in the minibuffer when the point is inside a function, for example like at 13:54 for fit.data() and "dx" is displayed at bottom.

Comment on Using Emacs to work with R by Pavo

Pavo — Fri, 22 Feb 2013 03:31:58 +0000

I'm wondering how to turn on the feature where arguments to a function are displayed in the minibuffer when the point is inside a function (such as at 13:54 in the video for fit.data() or summary() ). I think it is related to "eldoc mode"...