to.data.frame

From memisc v0.99.27.3 by Martin Elff

Convert an Array into a Data Frame

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.

Keywords: manip

Usage

to.data.frame(X,as.vars=1,name="Freq")

Arguments

X: an array.
as.vars: a numeric value or a character string. If it is a numeric value then it indicates the dimensional extend which defines the variables. If it is a character string then it is matched against the names of the dimenstional extents. This is applicable e.g. if X is a contingency table and the dimensional extents are named after the cross-classified factors. 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.

Value

A data frame.

Examples

# NOT RUN {
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)
# Recasting a contingency table
to.data.frame(UCBAdmissions,as.vars="Admit")
# }

Documentation reproduced from package memisc, version 0.99.27.3, License: GPL-2

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