Plot one-dimensional posterior probabilities

Used in 'learn()' to plot diagnostics.

Usage

plotFsamples(
  filename,
  learnt,
  data,
  plotprobability = TRUE,
  plotvariability = "samples",
  nFsamples = NULL,
  datahistogram = !(missing(data) || is.null(data)),
  datascatter = !(missing(data) || is.null(data)),
  parallel = TRUE
)

Arguments

filename: Character: name of plot output file
learnt: Either a character with the name of a directory or full path for an 'learnt.rds' object, or such an object itself
data: data.table object or filepath: datapoints
plotprobability: Logical: plot the resulting probability curve
plotvariability: Character, either 'samples' or 'quantiles': how to plot the variability of the probability distribution with new samples
nFsamples: Positive number: if plotvariability='samples', then number of samples of representative frequency distributions to display as variability; if plotvariability='quantiles', then the quantiles (in range 0 to 0.5) to show
datahistogram: Logical: plot the data as histogram?
datascatter: Logical: plot the data as scatterplot along the x-axis?
parallel: Logical or numeric: whether to use pre-existing parallel workers, or how many to create and use

Value

No return value.