Displaying 2 results from an estimated 2 matches for "coeffnames".
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coefnames
2010 Oct 17
4
Variable name as string
Hello,
from Verzani, simpleR (pdf), p. 80, I created the following function to
test the coefficient of lm() against an arbitrary value.
coeff.test <- function(lm.result, var, coeffname, value) {
# null hypothesis: coeff = value
# alternative hypothesis: coeff != value
es <- resid(lm.result)
coeff <- (coefficients(lm.result))[[coeffname]]
# degrees of freedom = length(var) -
2006 Aug 24
1
metaplot and meta.summaries
...e to read them.
Why do I have to give sumse (Standard Error) and sumnn (Precision) of the summary
estimate? I can calculate one from the other, right? Just to make sure I'm not
misunderstanding something.
metaplot(CoeffVector, StdErrorVector, nn=NULL, labels=Name, conf.level=0.95,
xlab=paste(CoeffNames[j], CoefficientName[i]),
ylab="Countries",
xlim=NULL, summn=PostCoeffs[1,j], sumse=sqrt(PostVars[1,j]),
sumnn=1/(PostVars[1,j]),
summlabel="Summary",
lwd=2, boxsize=1)
meta.summaries
--------------
What does it mean, when I get the warning message that NaNs were produced...