plotDistribution: Plot descriptive statistics
In kueckelj/celltracer: An Analysis-Toolbox for High-Throughput Cell Imaging Data

These functions are deprecated in favor of plotDensityplot(), plotHistogram(), plotRidgplot(), plotBoxplot() and plotViolinplot().

plotDistribution(
  object,
  variables = "all",
  across = "cl_condition",
  across_subset = NULL,
  phase = "first_tmt",
  plot_type = "boxplot",
  binwidth = 1,
  display_points = FALSE,
  pt_size = 1.2,
  pt_alpha = 0.8,
  pt_color = "black",
  n_cells = 100,
  shape_to = NULL,
  test_pairwise = "none",
  test_groupwise = "none",
  ref_group,
  clrp = "milo",
  ...,
  pretty_names = TRUE,
  verbose = TRUE
)

`object`	A valid cell tracer object.
`variables`
`across`	Character value. Denotes the discrete variable in the data.frame across which the variables of interest are to be analyzed or displayed. Valid input options can be obtained via `getAcrossOptions()`.
`across_subset`	Character vector. The groups of interest that the `across`- variable contains. Valid input options can be obtained via `getVariableValues()`.
`phase`	Character value. Refers to the phase of the experiment. Valid inputs are: 'before_tmt' Uses the data that refers to the time before the treatment. 'first_tmt' Uses the data that refers tot the time after the treatment. Note: This argument is ignored if the experiment set up did not include any treatment or the treatment started right from the beginning.
`plot_type`	Character value. One of 'histogram', 'ridgeplot', 'boxplot', 'violinplot' or 'density' to visualize the value distribution of those variables specified via the `variables` argument. If set to 'boxplot' or 'violinplot' and only one variable is specified statistical test can be performed.
`binwidth`	Numeric value. Only relevant if `plot_type` is set to 'histogram'.
`display_points`	Logical. If set to TRUE the value distribution of `n_cells` is additionally displayed by points.
`pt_size`	Numeric value. Denotes the size and alpha values of the points of the scatterplot.
`pt_alpha`	Numeric value. Denotes the size and alpha values of the points of the scatterplot.
`pt_color`	Character value. Denotes the color of the points of the scatterplot.
`n_cells`	Numeric calue. Determines the number of cells that are randomly chosen from every group to be displayed. Useful to keep plots insightful and aesthetically pleasing.
`shape_to`	Character value. The variable that is to be displayed or highlighted by the dots shape.
`test_pairwise`	Character value. One of 'none', 't.test', 'wilcox.test'.
`test_groupwise`	Character value. One of 'none', 'anova', 'kruskal.test'.
`ref_group`	Character value. Denotes the reference group for the statistical tests. Must be one value of the variable specified in `across`.
`clrp`	Character value. The color panel to be used. Valid input options can be obtained via `allColorpanels()`.
`...`	Additional arguments given to `ggplot2::facet_wrap()`.
`pretty_names`	Logical. If set to TRUE the function attempts to convert the concisely named variables into more aesthetically pleasing ones.
`verbose`	Logical. If set to TRUE informative messages regarding the computational progress will be printed. (Warning messages will always be printed.)