library("plotteR");
set.seed(10000L);
# create a single run
make.run <- function(q.best, time.worst, ...) {
repeat {
x <- sort(unique(as.integer(c(1L, time.worst, runif(n=19L, min=1L, max=time.worst)))));
if(length(x) == 21L) { break; }
}
range <- 1 - q.best;
repeat {
l <- unique((exp(runif(n=20L, min=1L, max=5L))-exp(1L))/exp(5L));
if(length(l) != 20L) { next; }
if(any((l<=0) | (l >= 1))) { next; }
y <- sort(unique(c(q.best, q.best + (range*l))), decreasing = TRUE);
if(length(y) == 21L) { break; }
}
return(matrix(c(x, y), ncol=2L))
}
# make n runs
make.runs <- function(n, q.best, time.worst) {
return(lapply(X=seq_len(n), FUN=make.run, q.best=q.best, time.worst=time.worst));
}
# plot five example ERTs
plot.func.ert(x = list(make.runs(20, 0.0, 1e6),
make.runs(20, 0.5, 1e6),
make.runs(20, 0.0, 1e4),
make.runs(20, 0.5, 1e4),
make.runs(20, 0.1, 1e5)),
legend=c("slow+good", "slow+bad", "fast+good", "fast+bad", "ok+ok"),
log="y",
time.max=1e6,
goal.min=0,
goal.max=1,
goal.markers = c(0.1, 0.5),
time.markers = c(1e6, 1e4, 1e5));
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