\HeaderA{data.frame}{Data Frames}{data.frame}
\keyword{classes}{data.frame}
\keyword{methods}{data.frame}
\begin{Description}\relax
This function creates data frames, tightly coupled
collections of variables which share many of the properties of
matrices and of lists, used as the fundamental data structure by most
of \R's modeling software.
\end{Description}
\begin{Usage}
\begin{verbatim}
data.frame(..., row.names = NULL, check.rows = FALSE,
           check.names = TRUE)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{...}] these arguments are of either the form \code{value} or
\code{tag=value}.  Component names are created based on the tag (if
present) or the deparsed argument itself.
\item[\code{row.names}] \code{NULL} or an integer or character string specifying
a column to be used as row names, or a character vector giving the row
names for the data frame.
\item[\code{check.rows}] if \code{TRUE} then the rows are checked for
consistency of length and names.
\item[\code{check.names}] logical.  If \code{TRUE} then the names of the
variables in the data frame are checked to ensure that they are
syntactically valid variable names and are not duplicated.
If necessary they are adjusted (by \code{\LinkA{make.names}{make.names}})
so that they are.
\end{ldescription}
\end{Arguments}
\begin{Details}\relax
A data frame is a list of variables of the same length with unique row
names, given class \code{"data.frame"}.

\code{data.frame} converts each of its arguments to a data frame by
calling \code{\LinkA{as.data.frame}{as.data.frame}(optional=TRUE)}.  As that is a
generic function, methods can be written to change the behaviour of
arguments according to their classes: \R{} comes with many such methods.
Character variables passed to \code{data.frame} are converted to
factor columns unless protected by \code{\LinkA{I}{I}}.  If a list or data
frame or matrix is passed to \code{data.frame} it is as if each
component or column had been passed as a separate argument.

Objects passed to \code{data.frame} should have the same number of
rows, but atomic vectors, factors and character vectors protected by
\code{\LinkA{I}{I}} will be recycled a whole number of times if necessary.

If row names are not supplied in the call to \code{data.frame}, the
row names are taken from the first component that has suitable names,
for example a named vector or a matrix with rownames or a data frame.
(If that component is subsequently recycled, the names are discarded
with a warning.)  If \code{row.names} was supplied as \code{NULL} or no
suitable component was found the row names are the integer sequence
starting at one.

If row names are supplied of length one and the data frame has a
single row, the \code{row.names} is taken to specify the row names and
not a column (by name or number).

Names are removed from vector inputs not protected by \code{\LinkA{I}{I}}.
\end{Details}
\begin{Value}
A data frame, a matrix-like structure whose columns may be of
differing types (numeric, logical, factor and character and so on).
\end{Value}
\begin{Note}\relax
In versions of \R{} prior to 1.4.0 logical columns were converted to
factors (as in S3 but not S4).
\end{Note}
\begin{References}\relax
Chambers, J. M. (1992)
\emph{Data for models.}
Chapter 3 of \emph{Statistical Models in S}
eds J. M. Chambers and T. J. Hastie, Wadsworth \& Brooks/Cole.
\end{References}
\begin{SeeAlso}\relax
\code{\LinkA{I}{I}},
\code{\LinkA{plot.data.frame}{plot.data.frame}},
\code{\LinkA{print.data.frame}{print.data.frame}},
\code{\LinkA{row.names}{row.names}},
\code{\LinkA{[.data.frame}{[.data.frame}} for subsetting methods,
\code{\LinkA{Math.data.frame}{Math.data.frame}} etc, about
\emph{Group} methods for \code{data.frame}s;
\code{\LinkA{read.table}{read.table}},
\code{\LinkA{make.names}{make.names}}.
\end{SeeAlso}
\begin{Examples}
\begin{ExampleCode}
L3 <- LETTERS[1:3]
(d <- data.frame(cbind(x=1, y=1:10), fac=sample(L3, 10, repl=TRUE)))

## The same with automatic column names:
data.frame(cbind(  1,   1:10),     sample(L3, 10, repl=TRUE))

is.data.frame(d)

## do not convert to factor, using I() :
(dd <- cbind(d, char = I(letters[1:10])))
rbind(class=sapply(dd, class), mode=sapply(dd, mode))

stopifnot(1:10 == row.names(d))# {coercion}

(d0  <- d[, FALSE]) # NULL data frame with 10 rows
(d.0 <- d[FALSE, ]) # <0 rows> data frame  (3 cols)
(d00 <- d0[FALSE,])  # NULL data frame with 0 rows
\end{ExampleCode}
\end{Examples}

