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pull out p-values and r-squared from a linear regression
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f <- summary(modelobject)$fstatistic
p <- pf(f[1],f[2],f[3],lower.tail=F)
attributes(p) <- NULL
return(p)
}
> lmp(fit)
[1] 1.622665e-05
In the case of a simple regression with one predictor, the model p-value and the p-value for the coefficient will be the same.
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Windows: XAMPP vs WampServer vs EasyPHP vs alternative [closed]
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answered Apr 7 '11 at 11:37
Pascal MARTINPascal MARTIN
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Pandas count(distinct) equivalent
...ple:
In [2]: table
Out[2]:
CLIENTCODE YEARMONTH
0 1 201301
1 1 201301
2 2 201301
3 1 201302
4 2 201302
5 2 201302
6 3 201302
In [3]: table.groupby('YEARMONTH').CLIENTCODE.nunique()
Out[3]:
YEARM...
An invalid form control with name='' is not focusable
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iOS 7 - Status bar overlaps the view
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edited Sep 23 '13 at 17:04
Peter Mortensen
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Difference between pre-increment and post-increment in a loop?
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239
a++ is known as postfix.
add 1 to a, returns the old value.
++a is known as prefix.
add 1 t...
How to get the command line args passed to a running process on unix/linux systems?
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Converting from a string to boolean in Python?
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Setting Django up to use MySQL
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324
MySQL support is simple to add. In your DATABASES dictionary, you will have an entry like this...
How do I read CSV data into a record array in NumPy?
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answered Aug 19 '10 at 6:34
AndrewAndrew
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