Description Usage Arguments Details Value Examples
rray_sort()
returns an array with the same dimensions as x
, but sorted
along the specified axis.
1 |
x |
A vector, matrix, array, or rray. |
axis |
A single integer specifying the axis to compute along. |
Dimension names are lost along the axis that you sort along. If
axis = NULL
, then all dimension names are lost. In both cases, meta
names are kept. The rationale for this is demonstrated in the examples.
There, when you sort y
along the rows, the rows in the first column change
position, but the rows in the second column do not, so there is no rational
order that the row names can be placed in.
An object with the same dimensions as x
, but sorted along axis
. The
dimension names will be lost along the axis you sort along.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | x <- rray(c(20:11, 1:10), dim = c(5, 2, 2))
# Flatten, sort, then reconstruct the shape
rray_sort(x)
# Sort, looking along the rows
rray_sort(x, 1)
# Sort, looking along the columns
rray_sort(x, 2)
# Sort, looking along the third dimension
# This switches the 20 with the 1, the
# 19 with the 2, and so on
rray_sort(x, 3)
# ---------------------------------------------------------------------------
# Dimension names
y <- rray(
c(2, 1, 1, 2),
dim = c(2, 2),
dim_names = list(
r = c("r1", "r2"),
c = c("c1", "c2")
)
)
# Dimension names are dropped along the axis you sort along
rray_sort(y, 1)
rray_sort(y, 2)
# All dimension names are dropped if `axis = NULL`
rray_sort(y)
|
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