The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

Introduction to 2D Pareto Fronts

set.seed(42)
df <- data.frame(
  cost = runif(50, 10, 100),
  performance = runif(50, 0, 1)
)

head(df)
#>       cost performance
#> 1 92.33254  0.33342721
#> 2 94.33679  0.34674825
#> 3 35.75256  0.39848541
#> 4 84.74029  0.78469278
#> 5 67.75710  0.03893649
#> 6 56.71864  0.74879539

is_optimal <- pareto_2d(
  x = df$cost, 
  y = df$performance, 
  x_bigger_better = FALSE, 
  y_bigger_better = TRUE
)

# How many optimal points did we find?
sum(is_optimal)
#> [1] 4

result <- plot_pareto(
  df, 
  x_col = "cost", 
  y_col = "performance",
  x_bigger_better = FALSE, 
  y_bigger_better = TRUE,
  show_all_points = TRUE
)

result$plot

Pareto Front showing Cost vs Performance trade-off.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.