Nothing
library(beeswarm)
test_swarms <- function(x) {
for (na_positions in list(integer(0), c(2L,4L,6L,8L))) {
x[na_positions] <- NA
for (compact in c(FALSE, TRUE)) {
for (priority in c("ascending", "descending", "density", "random", "none")) {
for (side in -1:1) {
print(na_positions)
print(compact)
print(priority)
print(side)
# compare R and C versions of swarmy and swarmx
set.seed(1)
y1 <- swarmy(x, numeric(length(x)), compact=compact, side=side, priority=priority, fast=TRUE)$y
set.seed(1)
y2 <- swarmy(x, numeric(length(x)), compact=compact, side=side, priority=priority, fast=FALSE)$y
stopifnot(all.equal(y1, y2))
stopifnot(identical(which(is.na(y1)), na_positions))
set.seed(1)
x1 <- swarmx(numeric(length(x)), x, compact=compact, side=side, priority=priority, fast=TRUE)$x
set.seed(1)
x2 <- swarmx(numeric(length(x)), x, compact=compact, side=side, priority=priority, fast=FALSE)$x
stopifnot(all.equal(x1, x2))
stopifnot(identical(which(is.na(x1)), na_positions))
}
}
}
}
}
set.seed(1)
test_swarms(rnorm(250) / 100)
test_swarms(numeric(10))
test_swarms(1:10)
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