You don't have a thousand developers (and thousands of function
packages) without that one million users. If you think that one
million is not important, then don't complain gretl is not becoming
"mainstream". Also, "a larger pool of people who can give valuable
contributions to the project in terms of features" surely includes
those people who contribute by translating and localizing. This is a
laborious effort which becomes less meaningful by those who want to
use gretl with "their beloved decimal comma", and who surprisingly
start finding out that, according to some developers' not-so-humble
opinions, gretl would gain little with their using of and
contributions to gretl.
On Mon, Jan 7, 2013 at 4:21 PM, Riccardo (Jack) Lucchetti
<r.lucchetti(a)univpm.it> wrote:
On Mon, 7 Jan 2013, Talha Yalta wrote:
>> This has been discussed before, but I think this criticism is just
>> mistaken.
>> The support for decimal comma in Gretl is just as good as the support in
>> Excel. Also, you deliberately changed focus from statistical packages to
>> spreadsheets. Which statistical scripting languages support localised
>> inputs?
>
> “Let’s not kid ourselves: the most widely used piece of software for
> statistics is Excel” –Ripley.
> Not only that it is the most popular, but also there are many
> textbooks for statistics as well as econometrics with Excel. So this
> is a perfectly valid example and we do need to consider what makes
> Excel, SPSS, Eviews popular if we are talking about how to make gretl
> more popular.
The key question here is "popular among who"? Popularity _per_se_ is not
something I personally care very much about. In my view, people who feel ok
doing statistics on Excel may very well keep doing so: even if they adopted
a modified version of gretl in which they could use their beloved decimal
comma, the project, in my not so humble opinion, would gain little
benefit, if any at all.
The reason why I would like gretl to be more widespread is because I would
like to have a larger pool of people who can give valuable contributions to
the project in terms of features. And the reason I feel this way is not
because I want to brag about the advanced stuff. It's because of what I
think the project's end goal should be.
As far as I'm concerned, the end goal is to provide a stats/econometrics
package which is (1) free; (2) advanced enough so that every conceivable
piece of applied economic research can be done by using it (at least in
principle); (3) friendly enough to be used in the widest possible range of
teaching situations. Please note: (3) would not be possible without (2): the
emphasis on math/stat functionality is a necessary condition to make your
package useable in teaching (past the undergraduate level). The converse
doesn't work.
A million users whose command of statistics and programming is near-zero
(and who, reasonably, find it odd that you can use the comma in excel but
not in gretl) are less important, to the reaching of the end goal, than a
dozen users who can find bugs and write meaningful bug reports, who follow
the recent trends in applied literature and ask the developers "could we add
this estimator/test/whatever?" or, better still, do it themselves and upload
a function package. The situation has improved over the years, but the pool
of contributors we have as of today is very small compared to, say, the R
project or even vintage stuff like RATS or TSP (yes, I'm deliberately
omitting Stata).
Sure, numbers are important, but then: can you provide any example of a stat
package which is *frendlier* than gretl is as of now?
-------------------------------------------------------
Riccardo (Jack) Lucchetti
Dipartimento di Scienze Economiche e Sociali (DiSES)
Università Politecnica delle Marche
(formerly known as Università di Ancona)
r.lucchetti(a)univpm.it
http://www2.econ.univpm.it/servizi/hpp/lucchetti
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