Dear R-Users,
I want to use mtable from package "memisc" to produce Latex-style estimation
output. However, mtable() only gives me a p-value and not the corresponding
test-statistic. Does anyone know how to extract it, either from a glm/anova
object or mtable? Here is a short example:
# Run this
Dear all,
I'm trying to use "scatterplot" from package "car" to get a scatterplot with
row-names as labels and I want my data to be divided into two groups defined
by the column "tresh". Leaving away the groups-command gives me the right
labels but they are not distinguished by colors according to
Dear R-users!
I've been trying to produce tables from glm-results using mtable from the
memsic package but I'm not quite happy with the default of signif.codes in
R. What I want to do is to change this line:
Signif. codes: 0 *** 0.001 ** 0.01 * 0.05 . 0.1 1
to that line:
Signif. co
ack to" or "skip error" ... ?
Thanks in advance,
Erich
Erich STRIESSNIG
IIASA
International Institute for Applied Systems Analysis
A-2361 Laxenburg, Austria
E-Mail: [EMAIL PROTECTED]
Phone : +43 2236 807-0
Fax : +43 2236 71313
__
R-help@r
Dear R community,
I want to estimate coefficients in a (non-linear) system of equations using
'mle2' from the "bbmle" package. Right now the whole data is read in as just
one long time series, when it's actually 9 cross sections with 30 observations
each. I would like to be able to test and correc
Hi all,
I am trying to use plm to estimate coefficients in a model consisting of a
system of equations. So far I used mle2 from the package "bbmle", but now I
need to test for autocorrelation and mle2 does not provide for the necessary
tests. mle2 needs a 'function' as input that might as well con
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