R/pmx-plots-distibution.R

Defines functions pmx_plot_eta_hist pmx_plot_eta_box eta_distribution_plot

Documented in eta_distribution_plot pmx_plot_eta_box pmx_plot_eta_hist

#' Eta distribution plots
#' @name eta_distribution_plot
#' @param ctr pmx controller
#' @param ... others graphics parameters passed :
#' \itemize{
#' \item \code{\link{pmx_gpar}} internal function to customize shared graphical parameters
#' \item \code{\link{distrib}} generic object for distribution plots (histogram/boxplot).
#' \item \code{\link{pmx_update}} function.
#' }
#'
#' \strong{distrib parameters}

#' @param jitter list set jitter parameter
#' @param type box for boxplot or histogram
#' @param dname name of dataset to be used
#' @param is.shrink \code{logical} if TRUE add shrinkage layer
#' @param shrink \code{list} list of parameters to tune the shrinkage
#' @param is.jitter \code{logical} if TRUE add jitter operator for points
#' @param histogram \code{list} histogram graphical parameters


#'
#' \strong{pmx_update parameters}

#' @param filter \code{expression} filter which will be applied to plotting data.
#' @param strat.facet \code{formula} optional stratification parameter by facetting.
#' This split plot by strats(each strat in a facet)
#' @param facets \code{list} facet_wrap parameters.
#' @param strat.color \code{character} optional stratification parameter by grouping.
#' This will split the plot by group (color) of strat.
#' @param trans \code{character} define the transformation to apply on x or y or both variables
#' @param pmxgpar a object of class pmx_gpar possibly the output of the

#'
#' \strong{pmx_gpar: Shared basic graphics parameters}

#' @param labels \code{list} list containing plot and/or axis labels: title, subtitle, x , y
#' @param axis.title \code{list} containing element_text attributes to customize
#' the axis title. (similar to ggplot2 axis.title theme)
#' @param axis.text \code{list} containing element_text attributes to customize
#' the axis text (similar to ggplot2 axis.text theme)
#' @param ranges \code{list} limits of x/y ranges
#' @param is.smooth \code{logical} if set to TRUE add smooth layer
#' @param smooth \code{list} geom_smooth graphical/smoothing fun parameters
#' @param is.band \code{logical} if TRUE add horizontal band
#' @param band \code{list} horizontal band parameters. geom_hline graphical parameters.
#' @param is.draft \code{logical} if TRUE add draft layer
#' @param draft \code{list} draft layer parameters. geom_text graphical parameters.
#' @param is.identity_line \code{logical} if TRUE add an identity line
#' @param identity_line \code{list}geom_abline graphical parameters.
#' @param scale_x_log10 \code{logical} if TRUE use log10 scale for x axis.
#' @param scale_y_log10 \code{logical} if TRUE use log10 scale for y axis.
#' @param color.scales \code{list} define scales parameter in case of strat.color \code{\link{pmx_settings}}
#' @return ggplot2 object
#' @example inst/examples/distribution.R


eta_distribution_plot <-
  function(jitter, type, dname, is.shrink, shrink, is.jitter, histogram,
             filter, strat.facet, facets, strat.color, trans, pmxgpar,
             labels, axis.title, axis.text, ranges, is.smooth, smooth,
             is.band, band, is.draft, draft, is.identity_line,
             identity_line, scale_x_log10, scale_y_log10, color.scales, ...) {

  }



# Distribution boxplot --------------------------------------------------------------

#' Eta Distribution boxplot
#' @family eta_distribution_plot
#' @rdname eta_distribution_plot
#' @export


pmx_plot_eta_box <-
  function(ctr,
             ...) {
    params <- as.list(match.call(expand.dots = TRUE))[-1]
    wrap_pmx_plot_generic(ctr, "eta_box", params)
  }

# Distribution histogram plot --------------------------------------------------------------


#' Eta Distribution histogram plot
#' @export
#' @family eta_distribution_plot
#' @rdname eta_distribution_plot
#' @export

pmx_plot_eta_hist <-
  function(
             ctr,
             ...) {
    params <- as.list(match.call(expand.dots = TRUE))[-1]
    wrap_pmx_plot_generic(ctr, "eta_hist", params)
  }

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ggPMX documentation built on May 29, 2021, 5:06 p.m.