function in R for nonlinear least squares?
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Daniel Lakeland
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the documentation for the packages RSQLite and SQLiteDF should be
helpful, as well as the documentation for SQLite itself, which has a
facility for efficiently importing CSV and similar files directly to a
SQLite database.
eg: http://netadmintools.com/art572.html
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Daniel Lakeland
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have a well defined distribution? or
does it exist a distribution that approximates x.
I think this is the standard Cauchy distribution:
http://en.wikipedia.org/wiki/Cauchy_distribution
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Daniel Lakeland
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... It refers to the
probability if being farther away from 0 than the observed value *in
either direction*
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integrable, perhaps in a computer algebra system like
maxima.
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of the data available.
Now that I'm aware of the biglm package, I think that it is probably
preferrable.
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*/
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Daniel Lakeland
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and provide commented
)] - 1
similar for newonset
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or less compared to
letting the R process thrash its disk.
It's a thought, not sure how well it works.
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Daniel Lakeland
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test them against a very low degree of freedom t distribution
(say 3) and publish those p values?
Again, I'm content to ignore p values and stick to estimates, but the
journal isn't.
BTW: thanks to all on this list, I've benefitted greatly from R and
from the archives of help topics.
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Daniel
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