R/g_fortify.R

Defines functions fortify.mmpoints fortify.smpoints fortify.mspoints fortify.sspoints fortify.mmcurves fortify.smcurves fortify.mscurves fortify.sscurves fortify.pevals fortify.cmats fortify.fmdat

Documented in fortify.mmcurves fortify.mmpoints fortify.mscurves fortify.mspoints fortify.smcurves fortify.smpoints fortify.sscurves fortify.sspoints

#
# Convert a fmdat object to a data frame for ggplot2
#
fortify.fmdat <- function(model, ...) {
  # === Check package availability  ===
  .load_ggplot2()

  # === Validate input arguments ===
  .validate(model)

  # === Prepare a data frame for ggplot2 ===
  curve_df <- data.frame(x = model[["labels"]],
                         y = model[["ranks"]])
}

#
# Convert a cmats object to a data frame for ggplot2
#
fortify.cmats <- function(model, ...) {
  # === Check package availability  ===
  .load_ggplot2()

  # === Validate input arguments ===
  .validate(model)

  # === Prepare a data frame for ggplot2 ===
  n <- length(model[["ranks"]])
  curve_df <- data.frame(x = rep(1:length(model[["ranks"]]), 4),
                         y = c(model[["tp"]], model[["fn"]],
                               model[["fp"]], model[["tn"]]),
                         group = factor(c(rep("TPs", n), rep("FNs", n),
                                          rep("FPs", n), rep("TNs", n)),
                                        levels = c("TPs", "FNs",
                                                   "FPs", "TNs")))
}

#
# Convert a pevals object to a data frame for ggplot2
#
fortify.pevals <- function(model, ...) {
  # === Check package availability  ===
  .load_ggplot2()

  # === Validate input arguments ===
  .validate(model)

  # === Prepare a data frame for ggplot2 ===
  pb <- model[["basic"]]
  n <- length(pb[["error"]])
  curve_df <- data.frame(x = rep(1:n, 10),
                         y = c(pb[["score"]], pb[["label"]],
                               pb[["error"]], pb[["accuracy"]],
                               pb[["specificity"]], pb[["sensitivity"]],
                               1 - pb[["specificity"]], pb[["precision"]],
                               pb[["mcc"]], pb[["fscore"]]),
                         group = factor(c(rep("score", n),
                                          rep("label", n),
                                          rep("error", n),
                                          rep("accuracy", n),
                                          rep("specificity", n),
                                          rep("sensitivity", n),
                                          rep("1 - specificity", n),
                                          rep("precision", n),
                                          rep("mcc", n),
                                          rep("fscore", n)),
                                        levels = c("score", "label",
                                                   "error", "accuracy",
                                                   "specificity",
                                                   "sensitivity",
                                                   "1 - specificity",
                                                   "precision",
                                                   "mcc",
                                                   "fscore")))
}

#' @rdname fortify
#' @export
fortify.sscurves <- function(model, raw_curves = NULL, reduce_points = FALSE,
                             ...) {
  .dataframe_common(model, raw_curves = TRUE, reduce_points = reduce_points,
                    check_ggplot = TRUE, ...)
}

#' @rdname fortify
#' @export
fortify.mscurves <- function(model, raw_curves = NULL, reduce_points = FALSE,
                             ...) {
  .dataframe_common(model, raw_curves = TRUE, reduce_points = reduce_points,
                    check_ggplot = TRUE, ...)
}

#' @rdname fortify
#' @export
fortify.smcurves <- function(model, raw_curves = NULL, reduce_points = FALSE,
                             ...) {

  arglist <- .get_fortify_arglist(attr(model, "args"),
                                  def_raw_curves = raw_curves, ...)

  .dataframe_common(model, raw_curves = arglist[["raw_curves"]],
                    reduce_points = reduce_points, check_ggplot = TRUE, ...)
}

#' @rdname fortify
#' @export
fortify.mmcurves <- function(model, raw_curves = NULL, reduce_points = FALSE,
                             ...) {

  arglist <- .get_fortify_arglist(attr(model, "args"),
                                  def_raw_curves = raw_curves, ...)

  .dataframe_common(model, raw_curves = arglist[["raw_curves"]],
                    reduce_points = reduce_points, check_ggplot = TRUE, ...)
}

#' @rdname fortify
#' @export
fortify.sspoints <- function(model, raw_curves = NULL, reduce_points = FALSE,
                             ...) {
  .dataframe_common(model, mode = "basic", raw_curves = TRUE,
                    check_ggplot = TRUE, reduce_points = FALSE, ...)
}

#' @rdname fortify
#' @export
fortify.mspoints <- function(model, raw_curves = NULL, reduce_points = FALSE,
                             ...) {
  .dataframe_common(model, mode = "basic", raw_curves = TRUE,
                    check_ggplot = TRUE, reduce_points = FALSE, ...)
}

#' @rdname fortify
#' @export
fortify.smpoints <- function(model, raw_curves = NULL, reduce_points = FALSE,
                             ...) {

  arglist <- .get_fortify_arglist(attr(model, "args"),
                                  def_raw_curves = raw_curves, ...)

  .dataframe_common(model, mode = "basic", raw_curves = arglist[["raw_curves"]],
                    check_ggplot = TRUE, reduce_points = FALSE, ...)
}

#' @rdname fortify
#' @export
fortify.mmpoints <- function(model, raw_curves = NULL, reduce_points = FALSE,
                             ...) {

  arglist <- .get_fortify_arglist(attr(model, "args"),
                                  def_raw_curves = raw_curves, ...)

  .dataframe_common(model, mode = "basic", raw_curves = arglist[["raw_curves"]],
                    check_ggplot = TRUE, reduce_points = FALSE, ...)
}
takayasaito/precrec documentation built on Aug. 24, 2017, 8:07 a.m.