obtain individual coefficent value from clogit in R

Question

Lets take the conditional logisitc regression example from the Survival Package

And using the following commands

library(survival)

data(logan)

resp <- levels(logan$occupation)
n <- nrow(logan)
indx <- rep(1:n, length(resp))
logan2 <- data.frame(logan[indx,],
                     id = indx,
                     tocc = factor(rep(resp, each=n)))
logan2$case <- (logan2$occupation == logan2$tocc)
B <- clogit(case ~ tocc + tocc:education + strata(id), logan2)

Now we can generate the regression parameters, but lets say we specifically want the toccfarm value of -1.896.

How would we only output this or save it as x save this.

When we use

B$coefficients

we get all the regression coefficients.

I have tried something like

B$coefficients[1,]
B$coefficients(term=1)
B$coefficients("toccfarm")

But none have worked

Answer 1

Another approach can be with the use of the summary function. You can see that with summary the coefficients of the model are taken as a matrix.

> is.matrix(summary(B)$coefficients)
[1] TRUE

At this point you can store summary(B)$coefficients in an object and then subset it as you wish.

summary(B)$coefficients[1,1]