On Feb 20, 2011, at 2:20 PM, danielepippo wrote:
when I calculate the bootstrap standard errors
... of what?
the results are summarized in
a matrix with columns equal to the parameters of the model.
... but they are all the same within each row???
In my case I
have a matrix like this:
[,1] [,2] [,3] [,4] [,5]
[,6] [,7] [,8] [,9]
[1,] -2.285122 -2.285122 -2.285122 -2.285122 -2.285122 -2.285122
-2.285122
....
[2,] -2.320864 -2.320864 -2.320864 -2.320864 -2.320864 -2.320864
-2.320864....
[3,] -2.424021 -2.424021 -2.424021 -2.424021 -2.424021 -2.424021
-2.424021....
[4,] -2.424027 -2.424027 -2.424027 -2.424027 -2.424027 -2.424027
-2.424027....
[5,] -2.386161 -2.386161 -2.386161 -2.386161 -2.386161 -2.386161
-2.386161
[6,] -2.470702 -2.470702 -2.470702 -2.470702 -2.470702 -2.470702
-2.470702
[7,] -2.424967 -2.424967 -2.424967 -2.424967 -2.424967 -2.424967
-2.424967
[8,] -2.331261 -2.331261 -2.331261 -2.331261 -2.331261 -2.331261
-2.331261
[9,] -2.415814 -2.415814 -2.415814 -2.415814 -2.415814 -2.415814
-2.415814
[10,] -2.418828 -2.418828 -2.418828 -2.418828 -2.418828 -2.418828
-2.418828....
[11,] -2.328493 -2.328493 -2.328493 -2.328493 -2.328493 -2.328493
-2.328493
[12,] -2.369575 -2.369575 -2.369575 -2.369575 -2.369575 -2.369575
-2.369575
[13,] -2.386355 -2.386355 -2.386355 -2.386355 -2.386355 -2.386355
-2.386355
[14,] -2.417921 -2.417921 -2.417921 -2.417921 -2.417921 -2.417921
-2.417921
[15,] -2.296758 -2.296758 -2.296758 -2.296758 -2.296758 -2.296758
-2.296758
[16,] -2.490558 -2.490558 -2.490558 -2.490558 -2.490558 -2.490558
-2.490558
[17,] -2.483024 -2.483024 -2.483024 -2.483024 -2.483024 -2.483024
-2.483024....
[18,] -2.336290 -2.336290 -2.336290 -2.336290 -2.336290 -2.336290
-2.336290....
[19,] -2.357479 -2.357479 -2.357479 -2.357479 -2.357479 -2.357479
-2.357479....
[20,] -2.391479 -2.391479 -2.391479 -2.391479 -2.391479 -2.391479
-2.391479....
In the pdf file, where I've found the example, the matrix result has
the
same equal columns, where the columns are relate to the nine
parameters.
If I have to calculate the standard errors of each parameters, in
the pdf
there is this:
At the end matrix results contains the bootstrap values of the
parameters
and thus bootstrap standard errors can be obtained merely by
calculating the
standard errors of the columns.
How can I merely calculate thees standard errors?
I am unable to understand the question (or do anything with the data)
because:
-- no R code
-- no description of the "bootstrap" procedure
-- the cited source of data has a contingency table
-- apparently the data is in a pdf file that does not allow copying
-- the "nine parameters" appear to be _somehow_ related to the column
headings (i.e. count categories) of that contingency table
-- it is difficult to imagine how that series of 9 identical numbers
within each row presented above relates to the (obviously non-uniform)
9 column contingency table in the pdf file
The pdf is in the following file:
http://r.789695.n4.nabble.com/file/n3315394/example.pdf example.pdf
Which is an extract from a larger paper in the Journal of Statistical
Software. The dataset is cited to be available in the bivpois package,
but the package does not seem to be currently in CRAN, although its
appearance in CRANtastic suggests it may be accessible through the
Archives.
I have to ask .... is this homework?
Thank you very much..
Pippo
--
View this message in context:
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Sent from the R help mailing list archive at Nabble.com.
David Winsemius, MD
West Hartford, CT
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