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,name="Freq")
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. If as.vars equals zero, a new variable
is created that contains the values of the array, that is,
to.data.frame acts on the array X
like as.data.frame(as.table(X))
|
name |
a character string; the name of the variable
created if X is an atomic array and as.vars equals zero.
|
A data frame.
berkeley <- aggregate(Table(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)