There are many levels of knowledge/skills of R, the first levels are quick to do. But next levels are harder to pass.
I will say in a sentence that R is easy to learn but difficult to master, which applies to many things (danse, music, sport, ...)! Christophe -- Christophe Dutang Ph.D. student at ISFA, Lyon, France website: http://dutangc.free.fr Le 11 déc. 2010 à 14:22, baptiste auguie a écrit : > On 11 December 2010 13:54, Pfister <[email protected]> wrote: >> So a "steep" learning curve implies "easy to learn" > > Shouldn't that be "quick to learn"? > > My own experience with R would suggest that easy and quick are not > always synonymous (eureka moment). I tend to think the R learning > curve qualifies as steep because it elevates you rapidly, if you are > able to rise with it, and also because it can be difficult to follow. > > Just my two cents, > > baptiste > > _______________________________________________ > R-SIG-Mac mailing list > [email protected] > https://stat.ethz.ch/mailman/listinfo/r-sig-mac _______________________________________________ R-SIG-Mac mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-mac
