medianrule: Median rule method

In specleanr: Detecting Environmental Outliers in Data Analysis Pipelines

Median rule method

Description

Median rule method

Usage

medianrule(data, var, output, x = 2.3, pc = FALSE, pcvar = NULL, boot = FALSE)

Arguments

data	Dataframe or vector where to check outliers.
var	Variable to be used for outlier detection if data is not a vector file.
output	Either clean: for clean data output without outliers; outliers: for outlier data frame or vectors.
x	A constant for flagging outliers.
pc	Whether principal component analysis will be computed. Default FALSE
pcvar	Principal component analysis to e used for outlier detection after PCA. Default PC1
boot	Whether bootstrapping will be computed. Default FALSE

Value

Either clean or outliers.

Examples

data("efidata")

danube <- system.file('extdata/danube.shp.zip', package='specleanr')

db <- sf::st_read(danube, quiet=TRUE)

wcd <- terra::rast(system.file('extdata/worldclim.tiff', package='specleanr'))

refdata <- pred_extract(data = efidata, raster= wcd ,
                          lat = 'decimalLatitude',
                          lon= 'decimalLongitude',
                          colsp = "scientificName",
                          bbox = db,
                          minpts = 10)

 medout <- medianrule(data = refdata[["Thymallus thymallus"]], var = 'bio6', output='outlier')

specleanr documentation built on Nov. 26, 2025, 1:07 a.m.