load (sprintf ("%s/data/rsms_protocol_4.Rdata", Sys.getenv ("ABS_TOP_SRCDIR")))

Sys.setlocale ("LC_ALL", "fr_FR.UTF-8")

#' Print the convergence graphs
#' @return the graphs
#' @export
convergence_graph <- function () {
    library ("magrittr")
    data <- (protocol_4
        %>% dplyr::group_by (dataset, maxiter)
        %>% dplyr::summarize (mloss = mean (loss),
                              sloss = sd (loss))
        %>% dplyr::mutate (dataset,
                           `Nombre d'itérations` = maxiter,
                           `Coût` = mloss,
                           mini = mloss - sloss,
                           maxi = mloss + sloss))
    arrange <- function (...) {
        gridExtra::grid.arrange (..., layout_matrix = rbind (
                                          c (1, 1, 2, 2, 3, 3),
                                          c (4, 4, 5, 5, 6, 6),
                                          c (7, 7, 8, 8, 9, 9),
                                          c (10, 10, 10, 11, 11, 11)
                                      ))
    }
    do.call (arrange, lapply (c ("atp1d", "atp7d", "edm", "enb", "oes10", "oes97", "osales", "scpf", "sf1", "sf2", "wq"), function (dataset_name) {
            (data
                %>% dplyr::filter (dataset == dataset_name)
                %>% ggplot2::ggplot (ggplot2::aes (x = `Nombre d'itérations`,
                                                   y = `Coût`,
                                                   ymin = mini,
                                                   ymax = maxi))
                + ggplot2::geom_line ()
                + ggplot2::geom_ribbon (alpha = 0.2)
                + ggplot2::ggtitle (dataset_name))
        }))
}

plot <- convergence_graph ()
filename <- Sys.getenv ("OUTPUT")
ggplot2::ggsave (filename, plot, device = "svg", width = 6, height = 8)