I'm giving a talk about some aspects of language and conceptual tools
for thinking about how
to solve problems in several programming languages for statistical
computing and graphics. I'm particularly
interested in language features that relate to:
o expressive power: ease of translating what you want to do into the
results you want
o elegance: how well does the code provide a simple human-readable
description of what is done?
o extensibility: ease of generalizing a method to wider scope
o learnability: your learning curve (rate, asymptote)
For R, some things to cite are (a) data and function objects, (b)
object-oriented methods (S3 & S4); (c) function mapping over data with
*apply methods and plyr.
What other language features of R should be on this list? I would
welcome suggestions (and brief illustrative examples).
-Michael
--
Michael Friendly Email: friendly AT yorku DOT ca
Professor, Psychology Dept.
York University Voice: 416 736-5115 x66249 Fax: 416 736-5814
4700 Keele Street Web: http://www.datavis.ca
Toronto, ONT M3J 1P3 CANADA
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