| matrix {base} | R Documentation |
matrix creates a matrix from the given set of values.
as.matrix attempts to turn its argument into a matrix.
is.matrix tests if its argument is a (strict) matrix.
It is generic: you can write methods to handle
specific classes of objects, see InternalMethods.
matrix(data = NA, nrow = 1, ncol = 1, byrow = FALSE,
dimnames = NULL)
as.matrix(x)
is.matrix(x)
data |
an optional data vector. |
nrow |
the desired number of rows |
ncol |
the desired number of columns |
byrow |
logical. If FALSE
(the default) the matrix is filled by columns, otherwise the matrix is
filled by rows. |
dimnames |
A dimnames attribute for the matrix: a
list of length 2 giving the row and column names respectively. |
x |
an R object. |
If either of nrow or ncol is not given, an attempt is
made to infer it from the length of data and the other
parameter.
If there are too few elements in data to fill the array,
then the elements in data are recycled. If data has
length zero, NA of an appropriate type is used for atomic
vectors (0 for raw vectors) and NULL for lists.
is.matrix returns TRUE if x is a matrix (i.e., it
is not a data.frame and has a dim
attribute of length 2) and FALSE otherwise.
as.matrix is a generic function. The method for data frames
will convert any non-numeric/complex column into a character
vector using format and so return a character matrix,
except that all-logical data frames will be coerced to a logical
matrix. When coercing a vector, it produces a one-column matrix, and
promotes the names (if any) of the vector to the rownames of the matrix.
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.
data.matrix, which attempts to convert to a numeric matrix.
is.matrix(as.matrix(1:10))
!is.matrix(warpbreaks)# data.frame, NOT matrix!
warpbreaks[1:10,]
as.matrix(warpbreaks[1:10,]) #using as.matrix.data.frame(.) method
# Example of setting row and column names
mdat <- matrix(c(1,2,3, 11,12,13), nrow = 2, ncol=3, byrow=TRUE,
dimnames = list(c("row1", "row2"), c("C.1", "C.2", "C.3")))
mdat