iso_mark_outliers: Mark outliers

In KopfLab/isoprocessorCUB: IRMS data processor

Description

This is a convenience function to visually highlight values that fall outside the data range via a flexible condition statement, plus_minus_value cutoff from the mean, or plus_minus_sd standard deviation cutoff from the mean. Optionally with a text label to make it easier to identify the analysis.

Usage

iso_mark_outliers(
  p,
  condition = NULL,
  plus_minus_value = NULL,
  plus_minus_sd = sd_cutoff,
  sd_cutoff = NULL,
  label = NULL,
  size = 2,
  shape = 16,
  color = "black"
)

Arguments

p	a ggplot object, typically generated by iso_plot_data
condition	any filter expression to identify outliers
plus_minus_value	value cutoff to identify outliers (mean +/- value)
plus_minus_sd	standard deviation cutoff to identify outliers (mean +/- sd)
sd_cutoff	renamed to the more descriptive plus_minus_sd
label	optional expression to add a label to the outlier points
size	size of the outlier points
shape	shape of the outlier points
color	color of the outlier points

See Also

Other plot functions: iso_mark_calibration_range(), iso_mark_value_range(), iso_mark_x_range(), iso_plot_continuous_flow_data(), iso_plot_data(), iso_plot_dual_inlet_data(), iso_plot_raw_data(), iso_plot_ref_peaks(), iso_plot_residuals(), iso_plot_scan_data(), iso_prepare_continuous_flow_plot_data(), iso_prepare_dual_inlet_plot_data(), iso_prepare_scan_plot_data()

KopfLab/isoprocessorCUB documentation built on Nov. 8, 2021, 9:54 a.m.