Hi all,
I have a set of data which looks similar to this (only way bigger!)
link type register
F D a
E D b
R D c
A T d
D T a
F D b
. . .
. . .
and would like to perform a multinomial logistic regression on this data.
I use the nnet package and obtain the raw regression coefficients from the
output when I enter:
fit<-multinom(link~type+register,data)
summary(fit, Wald =T);
However, I am struggling to compute the regression results in terms of
probabilities, my main barrier being the fact that my data is non-numerical.
For example, I would like to fix a value "d" to register, and calculate the
probability of choosing each link for both type "D" or "T" .
I hope this was clear enough!
I appreciate your help!
Tom V.
----------------------
TL Vincent
[EMAIL PROTECTED]
BCCS - Bristol Centre for Complexity Sciences
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