exclExtrValues: Exclude extreme values (based on distance to mean)

In wrMisc: Analyze Experimental High-Throughput (Omics) Data

Exclude extreme values (based on distance to mean)

Description

This function aims to identify extreme values (values most distant to mean, thus potential outlyers), mark them as NA or directely exclude them (depending on 'showNAs'). Note that every set of non-identical values will have at least one most extreme value. Extreme values are part of many distributions, they are not necessarily true outliers.

Usage

exclExtrValues(
  dat,
  result = "val",
  CVlim = NULL,
  maxExcl = 1,
  showNA = FALSE,
  goodValues = TRUE,
  silent = FALSE,
  callFrom = NULL
)

Arguments

dat	numeric vector, main input
result	(character) may be 'val' for returning data without extreme values or 'pos' for returning position/index of extreme values
CVlim	(NULL or numeric) allows to retain extreme values only if a certain CV (for all 'dat') is exceeded (to avoid calling extreme values form homogenous data-sets)
maxExcl	(integer) max number of elments to explude
showNA	(logical) will display extrelme values as NA
goodValues	(logical) allows to display rather the good values instead of the extreme values
silent	(logical) suppress messages
callFrom	(character) allow easier tracking of message(s) produced

Value

numeric vector wo extremle values or index-position of extreme values

See Also

firstOfRepLines, get1stOfRepeatedByCol for treatment of matrix

Examples

x <- c(rnorm(30),-6,20)
exclExtrValues(x)

wrMisc documentation built on Nov. 17, 2023, 5:09 p.m.