data.frame(..., row.names = NULL, check.rows = FALSE,
check.names = TRUE)
as.data.frame(x)
is.data.frame(x)
row.names(data.frame.obj)
row.names(data.frame.obj) <- names
print(data.frame.obj, ..., digits = NULL, quote = FALSE, right = TRUE)
plot (data.frame.obj, ...)
...
|
these arguments are of either the form value or
tag=value. Component names are created based on the tag (if
present) or the deparsed argument itself.
|
row.names
| a character vector giving the row names for the data frame. |
check.rows
|
if TRUE then the rows are checked for
consistency of length and names.
|
check.names
|
if TRUE then the names of the variables
in the data frame are checked to ensure that they are valid
variable names. If necessary they are adjusted (by
make.names) so that they are.
|
data.frame.obj
|
objects of class data.frame.
|
...
|
optional arguments to print or plot methods.
|
data.frame(.) a data frame. Data frames are the
fundamental data structure used by
most of R's modeling software. They are tightly coupled collections
of variables which share many of the properties of matrices. The main
difference being that the columns of a data frame may be of differing
types (numeric, factor and character).
as.data.frame is generic function with many methods.
It attempts to coerce its argument to be a data frame.
is.data.frame returns TRUE if its argument is a data
frame and FALSE otherwise.
row.names can be used to set and retrieve the row names of a
data frame, similarly to rownames for arrays.
plot.data.frame, a method of the plot generic,
uses stripplot for one variable,
plot.default (scatterplot) for two variables, and
pairs (scatterplot matrix) otherwise.
For the print method (print.data.frame), see
print.matrix.
xpdrows.data.frame is an auxiliary function which expands the
rows of a data frame. It is used by the data frame methods of
[<- and [[<- (which perform subscripted assignments on a
data frame), and not intended to be called directly.
read.table, Math.data.frame,etc, about
Group methods for data.frames; make.names.L3 <- LETTERS[1:3] str(d <- data.frame(cbind(x=1, y=1:10), ch=sample(L3, 10, repl=TRUE))) str( data.frame(cbind( 1, 1:10), sample(L3, 10, repl=TRUE))) is.data.frame(d) all(1:10 == row.names(d))# TRUE (coercion)