Interactively choose according to empirical attainment function differences
Source:R/largest_eafdiff.R
choose_eafdiff.Rd
Interactively choose according to empirical attainment function differences
Usage
choose_eafdiff(x, left = stop("'left' must be either TRUE or FALSE"))
Value
matrix()
where the first 4 columns give the coordinates of two
corners of each rectangle and the last column. In both cases, the last
column gives the positive differences in favor of the chosen side.
Examples
# \donttest{
extdata_dir <- system.file(package="moocore", "extdata")
A1 <- read_datasets(file.path(extdata_dir, "wrots_l100w10_dat"))
A2 <- read_datasets(file.path(extdata_dir, "wrots_l10w100_dat"))
# Choose A1
rectangles <- eafdiff(A1, A2, intervals = 5, rectangles = TRUE)
rectangles <- choose_eafdiff(rectangles, left = TRUE)
reference <- c(max(A1[, 1], A2[, 1]), max(A1[, 2], A2[, 2]))
x <- split.data.frame(A1[,1:2], A1[,3])
hv_A1 <- sapply(split.data.frame(A1[, 1:2], A1[, 3]),
hypervolume, reference=reference)
hv_A2 <- sapply(split.data.frame(A2[, 1:2], A2[, 3]),
hypervolume, reference=reference)
print(fivenum(hv_A1))
#> 41 67 5 89 86
#> 785206811240 798074793438 802769574696 810246464630 827967721404
print(fivenum(hv_A2))
#> 29 46 24 74 70
#> 814132427856 820458749530 823618555606 826673145848 836333173304
whv_A1 <- sapply(split.data.frame(A1[, 1:2], A1[, 3]),
whv_rect, rectangles=rectangles, reference=reference)
whv_A2 <- sapply(split.data.frame(A2[, 1:2], A2[, 3]),
whv_rect, rectangles=rectangles, reference=reference)
print(fivenum(whv_A1))
#> 58 9 78 4 16
#> 1891625587 6232795880 8278480355 9995743574 15230375078
print(fivenum(whv_A2))
#> 84 20 65 5 10
#> 906264527 2827084909 4651576336 6792802423 11748787068
# }