| dataframe {SMRUCC.Rsharp.Runtime.Internal.Object} | .NET clr documentation |
A data frame, a matrix-like structure whose columns
may be of differing types (numeric, logical, factor
and character and so on).
How the names Of the data frame are created Is complex,
And the rest Of this paragraph Is only the basic
story. If the arguments are all named And simple objects
(Not lists, matrices Of data frames) Then the argument
names give the column names. For an unnamed simple
argument, a deparsed version Of the argument Is used
As the name (With an enclosing I(...) removed). For a
named matrix/list/data frame argument With more than
one named column, the names Of the columns are the name
Of the argument followed by a dot And the column name
inside the argument: If the argument Is unnamed, the
argument's column names are used. For a named or unnamed
matrix/list/data frame argument that contains a single
column, the column name in the result is the column
name in the argument. Finally, the names are adjusted
to be unique and syntactically valid unless
check.names = FALSE.
A data frame is a list of variables of the same number of
rows with unique row names, given class "data.frame". If
no variables are included, the row names determine the
number of rows.
The column names should be non-empty, And attempts To use
empty names will have unsupported results. Duplicate column
names are allowed, but you need To use check.names = False
For data.frame To generate such a data frame. However,
Not all operations On data frames will preserve duplicated
column names: For example matrix-Like subsetting will
force column names in the result To be unique.
data.frame converts each of its arguments to a data frame
by calling 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
data.frame are converted To factor columns unless Protected
by I Or argument stringsAsFactors Is False. If a list Or
data frame Or matrix Is passed To data.frame it Is As If
Each component Or column had been passed As a separate
argument (except For matrices Protected by I).
Objects passed To data.frame should have the same number
Of rows, but atomic vectors (see Is.vector), factors And
character vectors Protected by I will be recycled a whole
number Of times If necessary (including As elements Of
list arguments).
If row names are Not supplied In the Call To 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
row.names was supplied As NULL Or no suitable component was
found the row names are the Integer sequence starting at one
(And such row names are considered To be 'automatic’, and
not preserved by as.matrix).
If row names are supplied Of length one And the data frame
has a Single row, the 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 I.
Default.stringsAsFactors Is a utility that takes
getOption("stringsAsFactors") And ensures the result Is
TRUE Or FALSE (Or throws an error if the value Is Not
NULL).
> Chambers, J. M. (1992) Data for models. Chapter 3 of
Statistical Models in S eds J. M. Chambers and T. J.
Hastie, Wadsworth & Brooks/Cole.
# namespace SMRUCC.Rsharp.Runtime.Internal.Object
export class dataframe extends RsharpDataObject {
# get all keys names of dataframe.columns data
colnames: string;
# the field vectors inside current data frame object, the vector
# dimension size of the fields could be a scalar value with just
# one element or vector dimension should equals to the dimension
# size of dataframe.rownames.
columns: list;
elementType: RType;
# current dataframe object contains any data or not?
empty: boolean;
# the number of the features in current dataframe object
ncols: integer;
# column Array.Length
nrows: integer;
# the dataframe rownames
rownames: string;
}
columns: listelementType: RType