| to.data.frame {memisc} | R Documentation |
to.data.frame converts an array into a data frame, in such a way
that a chosen dimensional extent forms variables in the data frame.
The elements of the array must be either atomic, data frames
with matching variables, or coercable into such data frames.
to.data.frame(X,as.vars=1)
X |
an array. |
as.vars |
a numeric value; indicates the dimensional extend
which defines the variables. Takes effect only if X is
an atomic array. |
A data frame.
berkeley <- aggregate(wtable(Admit,Freq)~.,data=UCBAdmissions)
berktest1 <- By(~Dept+Gender,
glm(cbind(Admitted,Rejected)~1,family="binomial"),
data=berkeley)
berktest2 <- By(~Dept,
glm(cbind(Admitted,Rejected)~Gender,family="binomial"),
data=berkeley)
Stest1 <- Lapply(berktest2,function(x)predict(x,,se.fit=TRUE)[c("fit","se.fit")])
Stest2 <- Sapply(berktest2,function(x)coef(summary(x)))
Stest2.1 <- Lapply(berktest1,function(x)predict(x,,se.fit=TRUE)[c("fit","se.fit")])
to.data.frame(Stest1)
to.data.frame(Stest2,as.vars=2)
to.data.frame(Stest2.1)