I think that PSPP' main use is for heavy datafiles processing, where R cannot be used.
PSPP, like SPSS, is a competitor for SAS. programming capabilities are not on the same level between SAS, SPSS and R or on another level matlab etc... so what are the strength of these big datafiles systems ? - the "group by" functionnality is essential, to split data or analysis for further processing with smaller more flexible systemes and for batch processing of hundreds of local analysis - the report (cross tabulation procedure), - and a bunch of robust statistical procedures to perform on mass data. -... I think that for instance factorial analysis, PCA, MCA etc... is more useful to develop than very precise stepwise regression tools, because these are tools to perform on mass data. try a PCA on R with too many vars or observations, it hangs ! try a MCA with a huge Burt matrix to fit in R you can't, it's too big. so I think what should guide development is primarily what statistical/data analysis is useful on big datafiles ? there should be plenty of things in the days of datamining. PSPP can be the R complement, or R the PSPP complement for datamining on one side and small precise dataset analysis on the other side. best regards PB 2009/11/13 William Simpson <william.a.simp...@gmail.com> > My two cents > > On Thu, Nov 12, 2009 at 10:56 PM, Gene Shackman <eval_g...@yahoo.com> > wrote: > > > > Sounds like a lot of great work being done on PSPP. I also add my thanks > to those developing the package. > > > > A couple of basic things were these that John mentioned > > * An improved output system. > > * Cut/Paste/Export to/from OpenOffice.org and Koffice. > These are low priorities for me. Basic statistical functionality is at > the top of my list. > > > > > and the Anova William mentioned. Also the regression currently available > seems to be forced choice, that is, all factors get put into the equation. > It would be great if there were some selection procedure like forward or > backward regression. > > This is an advanced procedure that doesn't get treated until grad > school. Therefore it is very low on my list of priorities. > > In my opinion, PSPP at this point should be aiming at people with very > basic knowledge and needs. It would be pointless trying to compete > with packages like R (which is what statisticians [and I] use). As > PSPP builds up from the bottom, it can add more and more capabilities. > > > > Don't forget that you're always welcome to download the latest > development > > version - just bear in mind it hasn't been thoroughly tested. If you > just want > > to know the major changes between the released version and the > development version, > > you can take a look at the NEWS file. See: > http://git.savannah.gnu.org/cgit/pspp.git/tree/NEWS > I have no experience building from sources under win. I am familiar > and very capable with linux. But my use for PSPP is under win, for > instruction of people with very basic needs. > > > Again, my two cents > > Additional features which *may* be in the next release include: > > > > * Full UTF8 support. > not even on my list, let alone near the bottom > > > * An improved output system. > very low on my list > > > * Cut/Paste/Export to/from OpenOffice.org and Koffice. > very low > > > * The GRAPH command. > better plots would be nice > > > * The FACTOR command. > I guess this means factor analysis. If so, again this is an advanced > technique taught in grad school. I think you should start from ground > up. > > > * The GLM command. > If you mean general linear model, bravo! It is by far the most > general, powerful, and widely used statistical approach. A huge amount > of stuff falls under its umbrella. It is fundamental and therefore is > taught from early stages all the way through grad school -- linear > regression and anova. > > If you mean generalised linear models, again this is an advanced > technique. If for example you have Bernoulli trials and want a > logistic link, this could be done pretty decently using linear models. > In fact this was done before fairly recently (glm did not exist before > the 1980s). > > Thanks again for PSPP!! > > Bill > > > _______________________________________________ > Pspp-users mailing list > Pspp-users@gnu.org > http://lists.gnu.org/mailman/listinfo/pspp-users > >
_______________________________________________ Pspp-users mailing list Pspp-users@gnu.org http://lists.gnu.org/mailman/listinfo/pspp-users
