plot_general_data: General function for plotting within IOHanalyzer

Description

General function for plotting within IOHanalyzer

Usage

plot_general_data(
  df,
  x_attr = "ID",
  y_attr = "vals",
  type = "violin",
  legend_attr = "ID",
  scale.xlog = F,
  scale.ylog = F,
  scale.reverse = F,
  p = NULL,
  x_title = NULL,
  y_title = NULL,
  plot_title = NULL,
  upper_attr = NULL,
  lower_attr = NULL,
  subplot_attr = NULL,
  show.legend = F,
  inf.action = "none",
  violin.showpoints = F,
  frame_attr = "frame",
  symbol_attr = "run_nr",
  subplot_shareX = F,
  line.step = F,
  ...
)

Arguments

df: The dataframe containing the data to plot. It should contain at least two columns: 'x_attr' and 'y_attr'
x_attr: The column to specify the x_axis. Default is 'algId'
y_attr: The column to specify the y_axis
type: The type of plot to use. Currently available: 'violin', 'line', 'radar', 'bar', hist' and 'ribbon'
legend_attr: Default is 'algId' This is also used for the selection of colorschemes
scale.xlog: Logarithmic scaling of x-axis
scale.ylog: Logarithmic scaling of y-axis
scale.reverse: Decreasing or increasing x-axis
p: A previously existing plot on which to add traces. If NULL, a new canvas is created
x_title: Title of x-axis. Defaults to x_attr
y_title: Title of x-axis. Defaults to x_attr
plot_title: Title of x-axis. Defaults to no title
upper_attr: When using ribbon-plot, this can be used to create a shaded area. Only works in combination with`lower_attr` and `type` == 'ribbon'
lower_attr: When using ribbon-plot, this can be used to create a shaded area. Only works in combination with`upper_attr` and `type` == 'ribbon'
subplot_attr: Which attribute of the dataframe to use for creating subplots
show.legend: Whether or not to include a legend
inf.action: How to deal with infinite values. Can be 'none', 'overlap' or 'jitter'
violin.showpoints: Wheteher or not to show individual points when making a violinplot
frame_attr: Which attribute of the dataframe to use for the time element of the animation
symbol_attr: Which attribute of the dataframe to use for the scatter symbol
subplot_shareX: Whether or not to share X-axis when using subplots
line.step: Whether to plot lines as a step-function (T) or as linear interpolation (F, default)
...: Additional parameters for the add_trace function