outliers_std_detect: Standard detection of outliers

In JMPivette/evavelo: Automatic Treatment on EVA-VELO Method

Standard detection of outliers

Description

Internal function that detects first centile, last centile and IQR per group

Usage

outliers_std_detect(.data, variable, col_name = raison, filter = TRUE, k = 1.5)

Arguments

.data	a tibble. if grouped, the analysis will be done per group
variable	name of the variable we want to analyse
col_name	name of the new column that will be created.
filter	a boolean. If TRUE a filter will be applied to keep only outliers. If FALSE, the number of rows in the output will be the same as .data.
k	coefficient applied to the IQR outlier detection

Value

.data tibble with an additional column names after col_name that conains a string with the type of outlier detection. For non outlier, NA is used

JMPivette/evavelo documentation built on April 8, 2023, 4:20 p.m.