Creates or tests for arrays.
array(data = NA, dim = length(data), dimnames = NULL) as.array(x, ...) is.array(x)
the dim attribute for the array to be created, that is an integer vector of length one or more giving the maximal indices in each dimension.
NULLor the names for the dimensions. This must a list (or it will be ignored) with one component for each dimension, either
NULLor a character vector of the length given by
dimfor that dimension. The list can be named, and the list names will be used as names for the dimensions. If the list is shorter than the number of dimensions, it is extended by
NULLs to the length required.
an R object.
additional arguments to be passed to or from methods.
An array in R can have one, two or more dimensions. It is simply a
vector which is stored with additional attributes giving the
"dim") and optionally names for those
A two-dimensional array is the same thing as a
One-dimensional arrays often look like vectors, but may be handled
differently by some functions:
str does distinguish
them in recent versions of R.
"dim" attribute is an integer vector of length one or more
containing non-negative values: the product of the values must match
the length of the array.
"dimnames" attribute is optional: if present it is a list
with one component for each dimension, either
NULL or a
character vector of the length given by the element of the
"dim" attribute for that dimension.
is.array is a primitive function.
For a list array, the
array returns an array with the extents specified in
and naming information in
dimnames. The values in
taken to be those in the array with the leftmost subscript moving
fastest. If there are too few elements in
data to fill the array,
then the elements in
data are recycled. If
NA of an appropriate type is used for atomic
0 for raw vectors) and
NULL for lists.
array does not currently remove
any attributes left by
as.vector from a classed list
data, so can return a list array with a class attribute.
as.array is a generic function for coercing to arrays. The
default method does so by attaching a
dim attribute to
it. It also attaches
names. The sole purpose of this is to make it possible
to access the
dim[names] attribute at a later time.
FALSE depending on
whether its argument is an array (i.e., has a
dim attribute of
positive length) or not. It is generic: you can write methods to handle
specific classes of objects, see InternalMethods.
is.array is a primitive function.
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.
dim(as.array(letters)) array(1:3, c(2,4)) # recycle 1:3 "2 2/3 times" # [,1] [,2] [,3] [,4] #[1,] 1 3 2 1 #[2,] 2 1 3 2
Examples for [LinkedIn Learning: R for Data Science, Lunchbreak Lessons](https://linkedin-learning.pxf.io/rweekly_array) ```r # array is a vector or list with 2+ dimensions # (Matrix is a 2-dimension Array. Array is like stacked matrices) I.am.a.vector <- c("twas","brillig","and","the","slithey","toves","did","gyre","and","gimble","in","wabe") # array(data_vector,dim_vector) # dimension is expressed as row, column, z-index I.am.an.array <- array(I.am.a.vector,c(2,3,2)) I.am.an.array # indexing into the array I.am.an.array[2,3,3] # this fails because there is not a third level I.am.an.array[2,3,2] I.am.an.array[2,3,2] <- "a new value" I.am.an.array[2,,2] # omission returns the entire range. Here - all columns of row 2, table 2 # dimnames my.row.names <- c("up","down") my.column.names <- c("left","middle","right") my.table.names <- c("behind","in front") dimnames(I.am.an.array) <- list(my.row.names,my.column.names,my.table.names) I.am.an.array I.am.an.array["down",3,2] ```