grubbs_test: Grubb's test for outliers

In jentjr/gwstats: Tools for plotting and analyzing environmental data

Grubb's test for outliers

Description

Grubb's test for outliers

Usage

grubbs_test(
  df,
  x = "analysis_result",
  type = 10,
  opposite = FALSE,
  two_sided = FALSE,
  group_by_location = FALSE,
  keep_data_object = FALSE
)

Arguments

df	data frame
x	column of analysis results
type	integer value indicating test variant. 10 is a test for one outlier (side is detected automatically and can be reversed by opposite parameter). 11 is a test for two outliers on opposite tails, 20 is test for two outliers in one tail. Default is 10
opposite	a logical indicating whether you want to check not the value with largest difference from the mean, but opposite (lowest, if most suspicious is highest etc.). Default is FALSE
two_sided	Logical value indicating if there is a need to treat this test as two-sided. Default is FALSE
group_by_location	TRUE/FALSE default is FALSE
keep_data_object	TRUE/FALSE default is FALSE

jentjr/gwstats documentation built on Jan. 12, 2024, 9:40 p.m.