shuffle-utils.Rd
Unrestricted and restricted permutations for time series, line transects, spatial grids and blocking factors.
shuffleFree(x, size)
shuffleSeries(x, mirror = FALSE, start = NULL, flip = NULL)
shuffleGrid(nrow, ncol, mirror = FALSE, start.row = NULL,
start.col = NULL, flip = NULL)
shuffleStrata(strata, type, mirror = FALSE, start = NULL, flip = NULL,
nrow, ncol, start.row = NULL, start.col = NULL)
vector of indices to permute.
number of random permutations required
logical; should mirroring of sequences be allowed?
integer; the starting point for time series permutations. If missing, a random starting point is determined.
logical, length 1 (shuffleSeries
) or length 2
(shuffleGrid
); force mirroring of permutation. This will
always return the reverse of the computed permutation. For
shuffleGrid
, the first element pertains to flipping rows, the
second to flipping columns of the grid.
numeric; the number of rows and columns in the grid.
numeric; the starting row and column for the shifted grid permutation. If non supplied, a random starting row and column will be selected.
factor; the blocks to permute.
character; the type of permutation used to shuffle the
strata
. One of "free"
, "grid"
or
"series"
.
These are developer-level functions for generating permuted indexes from one of several restricted and unrestricted designs.
shuffleFree
is a wrapper to code underlying
sample
, but without the extra over head of sanity
checks. It is defined as sample.int(x, size, replace = FALSE)
.
You must arrange for the correct values to be supplied, where
x
is a vector of indices to sample from, and size
is the
number of indices to sample. Sampling is done without replacement and
without regard to prior probabilities. Argument size
is allowed
so that one can draw a single observation at random from the indices
x
. In general use, size
would be set equal to
length{x}
.
A integer vector of permuted indices.
set.seed(3)
## draw 1 value at random from the set 1:10
shuffleFree(1:10, 1)
#> [1] 2
## permute the series 1:10
x <- 1:10
shuffleSeries(x) ## with random starting point
#> [1] 10 1 2 3 4 5 6 7 8 9
shuffleSeries(x, start = 5L) ## known starting point
#> [1] 6 7 8 9 10 1 2 3 4 5
shuffleSeries(x, flip = TRUE) ## random start, forced mirror
#> [1] 5 6 7 8 9 10 1 2 3 4
shuffleSeries(x, mirror = TRUE) ## random start, possibly mirror
#> [1] 5 6 7 8 9 10 1 2 3 4
## permute a grid of size 3x3
shuffleGrid(3, 3) ## random starting row/col
#> [1] 6 4 5 9 7 8 3 1 2
shuffleGrid(3, 3, start.row = 2,
start.col = 3) ## with known row/col
#> [1] 3 1 2 6 4 5 9 7 8
shuffleGrid(3, 3, flip = rep(TRUE, 2)) ## random start, forced mirror
#> [1] 8 9 7 2 3 1 5 6 4