Hello,
Roger Bivand wrote: > appropriate light. One basic characteristic seems to be that if the > question does indicate seriousness about trying to analyse data, respect > for the task at hand, then predictably lots of good advice comes quickly.
yes, I also experienced that (from the questioner point)
> I'm also not too sure about the "learning R" question. Of course there is > the GUI/CLI issue, and the "very many defaults already filled in" issue, > but actually market share really isn't a driver here, is it? Isn't this
ok, I get this point - R can be seen more as "philosphie" than "commercial"
thinking of getting market shares.
i think it is a trade-off between "spreading" R and being a member of a "geek"
statistic program (that's what SPSS user in this dept. think about us R
user ;-) )
> more about attitude and motivation in taking an active role in analysing > data? If your research question really itches, what should it take to stop > you learning R (or associated packages)?
probably the steep learing curve but of course if you really want, you will suceed and explorere the advanteages of R.
I think there is a deeper problem here: in many cases, scientists come to data analysis as a necessity to publish their results. They look for quick answers when analysing data. Thus learning a completely new system of data analysis may seem not only steep, but of limited interest.
That sounds a bit like an elitist point of view - who really wants to use R will eventually suceed.....but that's like everywhere in the opensource community - to get started with Linux or other software is still quite rough but a lot of people are doing it because of various reasons. This community has a great support mentality and are more worth than any commercial support and therefore it is possible.
but I don't want to start a flame about this issue (elitist geek software ;-) )and therefore I would like to propose a "evaluation" - better in a separate mail to keep the overview.
regards Martin
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Emmanuel Paradis
Laboratoire de Paléontologie
Institut des Sciences de l'Évolution
Université Montpellier II
F-34095 Montpellier cédex 05
France
phone: +33 4 67 14 39 64
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