Is it possible to do regressions in R using a panel data set with a
binary dependent variable? I am familiar with using glm for logit and
probit and plm for panel data, but am not sure how to combine the two.
Are there any existing code examples?
Thank you.
Abiel
I am trying to calculate the cumulative standard deviation of a
matrix. I want a function that accepts a matrix and returns a matrix
of the same size where output cell (i,j) is set to the standard
deviation of input column j between rows 1 and i. NAs should be
ignored, unless cell (i,j) of the inpu
es are listed in an XML file, with each set of attributes having a
key which refers to the name of an object in R.
Thank you,
--
Abiel Reinhart
email: [EMAIL PROTECTED]
cell: 541-514-1115
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R-help@r-project
I would like to run an aggregation on a zoo object that has multiple series
in it, with one of more series having NA values. The problem is that by
default the aggregate function will produce an NA value in each aggregated
period that contains an NA. For instance, if I run aggregate(x,
as.yearmon(i
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