Distribution of continuous values

Visualizes the distribution of values of a set of variables.

• plotDistribution() Takes the spata-object as the starting point and creates the necessary data.frame from scratch according to additional parameters.

• plotDistribution2() Takes a data.frame as the starting point.

plotDistribution(
  object,
  of_sample = "",
  variables,
  method_gs = "mean",
  plot_type = "histogram",
  clrp = "milo",
  binwidth = 0.05,
  ...,
  normalize = TRUE,
  assign = FALSE,
  assign_name,
  verbose = TRUE
)

plotDistribution2(
  df,
  variables = "all",
  plot_type = "histogram",
  clrp = "milo",
  binwidth = 0.05,
  verbose = TRUE,
  ...
)

Arguments

object	A valid spata-object.
of_sample	The sample(s) of interest specified as a single character value or vector. If set to "" (the default) the first sample is chosen.
variables	Character vector. The numeric variables of interest.
method_gs	Character value. The method according to which gene sets will be handled specified as a character of length one. This can be either 'mean' or one of 'gsva', 'ssgsea', 'zscore', or 'plage'. The latter four will be given to gsva::GSVA().
plot_type	Character value. One of 'histogram', 'density', 'violin', 'boxplot' and 'ridgeplot'.
binwidth	The binwidth to use if plot_type is specified as 'histogram'.
...	additional arguments to ggplot2::facet_wrap()
normalize	Logical. If set to TRUE values will be scaled to 0-1. Hint: Variables that are uniformly expressed can not be scaled and are discarded.
assign	Logical. If set to TRUE a named list will be assigned to the global environment. This list contains data and information to rebuild or additionally customize the output plot of this function.
assign_name	The name the assigned list is supposed to have specified as a single character value.
verbose	Logical. If set to TRUE informative messages regarding the computational progress will be printed. (Warning messages will always be printed.)
df	A data.frame that contains the numeric variables specified in variables.