| fertieg58 |
| Informatyk |
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| Dołączył: 23 Wrz 2010 |
| Posty: 399 |
Przeczytał: 0 tematów
Ostrzeżeń: 0/6
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| Skąd: England |
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I like display() because it gives the useful information that's in summary() but without the crap. I like coefplot() too, but it still needs a bit of work to be generally useful. And I'd also like to have a new function that automatically plots the data and fitted lines.
- print() doesn't give enough information
- summary() gives everything to a zillion decimal places and gives useless things like p-values
- plot() gives a bunch of residual and diagnostic plots but no graphs of the fitted model and data.
I just hope they set up their system so that my own packages ("R2WinBUGS",[link widoczny dla zalogowanych], "r2jags",[link widoczny dla zalogowanych], "arm",[link widoczny dla zalogowanych], and "mi") get recommended automatically. I really hate to think that there are people out there running regressions in R and not using display() and coefplot() to look at the output.
After I spoke tonight at the NYC R meetup, John Myles White and Drew Conway told me about this competition they're administering for developing a recommendation system for R packages. They seem to have already done some work laying out the network of R packages--which packages refer to which others,[link widoczny dla zalogowanych], and so forth.
P.S. Ajay Shah asks what I mean by that last sentence. My quick answer is that it's good to be able to visualize the coefficients and the uncertainty about them. The default options of print(), summary(),[link widoczny dla zalogowanych], and plot() in R don't do that: |
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