t
Matrix Transpose
Given a matrix or data.frame
x
,
t
returns the transpose of x
.
 Keywords
 array
Usage
t(x)
Arguments
 x
 a matrix or data frame, typically.
Details
This is a generic function for which methods can be written. The
description here applies to the default and "data.frame"
methods.
A data frame is first coerced to a matrix: see as.matrix
.
When x
is a vector, it is treated as a column, i.e., the
result is a 1row matrix.
Value

A matrix, with dim and dimnames constructed
appropriately from those of x, and other attributes except
names copied across.
Note
The conjugate transpose of a complex matrix $A$, denoted
$A^H$ or $A^*$, is computed as Conj(t(A))
.
References
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.
See Also
aperm
for permuting the dimensions of arrays.
Examples
library(base)
a < matrix(1:30, 5, 6)
ta < t(a) ## i.e., a[i, j] == ta[j, i] for all i,j :
for(j in seq(ncol(a)))
if(! all(a[, j] == ta[j, ])) stop("wrong transpose")
Community examples
`t()` transposes the rows and columns of matrices. ```{r} (a_matrix < matrix( 1:30, 5, 6, dimnames = list(rows = letters[1:5], cols = LETTERS[1:6]) )) t(a_matrix) ``` It also works with data frames, but the result is coerced to be a matrix. That means that every column becomes the same type! ```{r} data(npk) # A nitrogen, phosphate, potassium experiment npk # a data.frame with factor and numeric cols t(npk) # a character matrix ``` `t()` fails with higher dimensional arrays. You want [`aperm()`](https://www.rdocumentation.org/packages/base/topics/aperm) for this instead. ```{r} an_array < array(1:24, 2:4) tryCatch( t(an_array), error = print ) ```