Nothing
context("eafplot")
source("helper-common.R")
test_that("eafplot", {
skip_on_cran()
pdf(file = "eafplot.pdf", title = "eafplot.pdf", width = 9, height = 6)
## FIXME: Add main=invokation
## FIXME: We need smaller data!
eaftest <- function(a, b, maximise = c(FALSE, FALSE)) {
A1 <- read_datasets(file.path(system.file(package="eaf"), "extdata", a))
A2 <- read_datasets(file.path(system.file(package="eaf"), "extdata", b))
if (!any(maximise)) {
# FIXME: Colors are wrong
eafplot(A1, type = "area", legend.pos = "bottomleft")
eafplot(A1, type = "point")
eafplot(A1, type = "point", pch = 20)
# FIXME: This doesn't plot anything useful.
eafplot(list(A1 = A1, A2 = A2), type = "area", legend.pos = "bottomleft")
eafplot(list(A1 = A1, A2 = A2), type = "point")
eafplot(list(A1 = A1, A2 = A2), type = "point", pch = 20)
} else {
A1m <- A1; A1m[, which(maximise)] <- -A1m[, which(maximise)]
A2m <- A2; A2m[, which(maximise)] <- -A2m[, which(maximise)]
# FIXME: Colors are wrong
eafplot(A1m, type = "area", maximise = maximise, legend.pos = "bottomleft")
eafplot(A1m, type = "point", maximise = maximise)
eafplot(A1m, type = "point", pch = 20, maximise = maximise)
eafplot(list(A1m = A1m, A2m = A2m), type = "area", maximise = maximise, legend.pos = "bottomleft")
eafplot(list(A1m = A1m, A2m = A2m), type = "point", maximise = maximise)
eafplot(list(A1m = A1m, A2m = A2m), type = "point", pch = 20, maximise = maximise)
}
return(TRUE)
}
eaftest2 <- function()
{
data(HybridGA)
data(SPEA2relativeVanzyl)
eafplot(SPEA2relativeVanzyl, percentiles = c(25, 50, 75),
xlab = expression(C[E]), ylab = "Total switches", xlim = c(320, 400),
extra.points = HybridGA$vanzyl, extra.legend = "Hybrid GA")
data(SPEA2relativeRichmond)
eafplot (SPEA2relativeRichmond, percentiles = c(25, 50, 75),
xlab = expression(C[E]), ylab = "Total switches",
xlim = c(90, 140), ylim = c(0, 25),
extra.points = HybridGA$richmond, extra.lty = "dashed",
extra.legend = "Hybrid GA")
data(SPEA2minstoptimeRichmond)
SPEA2minstoptimeRichmond[,2] <- SPEA2minstoptimeRichmond[,2] / 60
eafplot (SPEA2minstoptimeRichmond, xlab = expression(C[E]),
ylab = "Minimum idle time (minutes)",
las = 1, log = "y", maximise = c(FALSE, TRUE), main = "SPEA2 (Richmond)")
return(TRUE)
}
expect_true(eaftest("wrots_l10w100_dat", "wrots_l100w10_dat"))
expect_true(eaftest("tpls", "rest"))
expect_true(eaftest("ALG_1_dat.xz", "ALG_2_dat.xz"))
expect_true(eaftest("ALG_1_dat.xz", "ALG_2_dat.xz", maximise = c(TRUE, FALSE)))
expect_true(eaftest("ALG_1_dat.xz", "ALG_2_dat.xz", maximise = c(FALSE, TRUE)))
expect_true(eaftest("ALG_1_dat.xz", "ALG_2_dat.xz", maximise = c(TRUE, TRUE)))
expect_true(eaftest2())
dev.off()
})
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