dixon_test: Dixon test for outliers

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

Dixon test for outliers

Description

Dixon test for outliers

Usage

dixon_test(
  df,
  x = "analysis_result",
  type = 0,
  opposite = FALSE,
  two_sided = TRUE,
  group_by_location = FALSE,
  keep_data_object = FALSE
)

Arguments

df	data frame
x	column of analysis results
type	an integer specyfying the variant of test to be performed. Possible values are compliant with these given by Dixon (1950): 10, 11, 12, 20, 21. If this value is set to zero, a variant of the test is chosen according to sample size (10 for 3-7, 11 for 8-10, 21 for 11-13, 22 for 14 and more). The lowest or highest value is selected automatically, and can be reversed used opposite parameter.
opposite	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.)
two_sided	treat test as two-sided. Default is TRUE.
group_by_location	TRUE/FALSE
keep_data_object	TRUE/FALSE to return entire htest object

jentjr/manager documentation built on Jan. 12, 2024, 9:45 p.m.