matrix {base} | R Documentation

## Matrices

### Description

`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.

### Usage

    matrix(data = NA, nrow = 1, ncol = 1, byrow = FALSE,
           dimnames = NULL)

    as.matrix(x, ...)
    ## S3 method for class 'data.frame'
    as.matrix(x, rownames.force = NA, ...)

    is.matrix(x)

### Arguments

`data` | an optional data vector (including a list or `expression` vector). Non-atomic classed R objects are coerced by `as.vector` and all attributes discarded.
`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: `NULL` or a `list` of length 2 giving the row and column names respectively. An empty list is treated as `NULL`, and a list of length one as row names. The list can be named, and the list names will be used as names for the dimensions.
`x` | an R object.
`...` | additional arguments to be passed to or from methods.
`rownames.force` | logical indicating if the resulting matrix should have character (rather than `NULL`) `rownames`. The default, `NA`, uses `NULL` rownames if the data frame has ‘automatic’ row.names or for a zero-row data frame.

### Details

If one of `nrow` or `ncol` is not given, an attempt is made to infer it from the length of `data` and the other parameter. If neither is given, a one-column matrix is returned.

If there are too few elements in `data` to fill the matrix, 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 vector and has a `"dim"` attribute of length 2) and `FALSE` otherwise. Note that a `data.frame` is not a matrix by this test. The function is generic: you can write methods to handle specific classes of objects, see InternalMethods.

`as.matrix` is a generic function. The method for data frames will return a character matrix if there is any non-(numeric/logical/complex) column, applying `format` to non-character columns. Otherwise, the usual coercion hierarchy (logical < integer < double < complex) will be used, e.g., all-logical data frames will be coerced to a logical matrix, mixed logical-integer will give a integer matrix, etc.

The default method for `as.matrix` calls `as.vector(x)`, and hence e.g. coerces factors to character vectors.

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.

`is.matrix` is a primitive function.

### Note

If you just want to convert a vector to a matrix, something like

      dim(x) <- c(nx, ny)
      dimnames(x) <- list(row_names, col_names)

will avoid duplicating `x`.

### References

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.

### See Also

`data.matrix`, which attempts to convert to a numeric matrix.

A matrix is the special case of a two-dimensional `array`.

### Examples

    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

[Package base version 2.15.2 Index]