mean-variance relationship

Evalute relationship between replicate means and replicate std and cvs

meanVarPlot(
  object,
  which.assay = NULL,
  which.data = "uncalibrated",
  which.phantom = NULL,
  which.plot = "scatter",
  which.parameter = NULL,
  outliers = F,
  return.plt.handle = F,
  color.option = "cividis",
  color.begin = 0,
  color.end = 1,
  point.size = 2,
  point.alpha = 1,
  error.squared = F
)

Arguments

object	Calibration Object
which.assay	Character specifying which assay to use.
which.data	Character specifying which data (uncalibrated or calibrated) to use.
which.phantom	Character specifying which phantom to use. If unspecified, and multiple phantoms exist in dataset, function will return an error.
which.plot	Character specifying which type of plot to generate. One of: "scatter" - Default. scatter plot of measure values vs. std and cv values "box" - boxplot of std and cv values stratified by phantom section
which.parameter	Character specfiying which parameters to plot. If unspecified, all parameters are plotted.
outliers	Logical specifying whether to include outliers. Default is true.
return.plt.handle	Logical specifying whether to return plot handle. If TRUE, list of plot handles is returned. If FALSE, plots are printed and not returned.
color.option	Character indicating which color map option to use (from viridis palette). One of: "magma" (or "A") "inferno" (or "B") "plasma" (or "C") "viridis" (or "D") "cividis" (or "E") - Default
color.begin	Hue in [0,1] at which the viridis color map begins
color.end	Hue in [0,1] at which the viridis color map ends
point.size	Numeric specifying size of scatter plot points. Only implemented if which.plot is "scatter". Default is 2.
point.alpha	Numeric [0,1] specifying transparency of points. Only implemented if which.plot is "scatter". Default is 1.
error.squared	Logical indicating whether to evaluate CV and STD (FALSE) or CV^2 and STD^2 (TRUE). Default is false

Value

List of ggplot handles