dot-remove_mad_outliers: remove_mad_outliers

In prybakowska/CytoQP: Cytometry data quality control and cleaninig

remove_mad_outliers

Description

detects outliers in the selected channel(s) using MAD (mean absolute deviation).

Usage

.remove_mad_outliers(
  flow_frame,
  channels = "Event_length",
  n_mad = 2,
  mad_f = mad,
  plot = TRUE,
  center = "center",
  main = "",
  ...
)

Arguments

flow_frame	A flowframe that contains cytometry data.
channels	character, channel names used for gating, default is set to "Event_length".
n_mad	numeric, how many MAD should be use to detect outliers
mad_f	function used to compute deviation, default set to "mad"
plot	logicle, if to plot the data, default TRUE
center	the centre: defaults to the median
main	character, title of the plot, default set to ""
...	other arguments to pass plotDens

Value

matrix with the selected cells

prybakowska/CytoQP documentation built on June 28, 2022, 12:36 a.m.