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Plot Effects of Autofluorescnce Modelling

Source: R/DataTransformation.R
PlotNormAF.Rd

This function moderates extreme negative outliers in the specified variables of a FlowObject by replacing these values with random numbers. These random numbers are drawn from a normal distribution determined by the data lying within the `negative_gate_def` thresholds in the FlowObject. It is typically used to handle outliers in flow cytometry data after defining negative gates using the DefineNegative function.

Usage

PlotNormAF(x, graphics = FALSE, max_cells_displayed = 30000, output = "output")

Arguments

x

A FlowObject that has already been processed using DefineNegative and NormAF.

graphics

Logical. The default is FALSE, showing variable options in console.

max_cells_displayed

The number of cells displayed in plots for determining a negative therehold.

output

A character for the name of output directory.

Value

The same FlowObject is returned for safety.

See also

Other Data Transformation: DefineNegatives(), LogData(), NormAF(), PlotDefineNegatives()

Examples

if (FALSE) { # \dontrun{
  x <- PlotNormAF(x)
} # }