Trim {DescTools} R Documentation

## Trim a Vector

### Description

Clean data by means of trimming, i.e., by omitting outlying observations.

### Usage

Trim(x, trim = 0.1, na.rm = FALSE)


### Arguments

 x a numeric vector to be trimmed. trim the fraction (0 to 0.5) of observations to be trimmed from each end of x. Values of trim outside that range (and < 1) are taken as the nearest endpoint. If trim is set to a value >1 it's interpreted as the number of elements to be cut off at each tail of x. na.rm a logical value indicating whether NA values should be stripped before the computation proceeds.

### Details

A symmetrically trimmed vector x with a fraction of trim observations (resp. the given number) deleted from each end will be returned. If trim is set to a value >0.5 or to an integer value > n/2 then the result will be NA.

### Value

The trimmed vector x. The indices of the trimmed values will be attached as attribute named "trim".

### Note

This function is basically an excerpt from the base function mean, which allows the vector x to be trimmed before calculating the mean. But what if a trimmed standard deviation is needed?

### Author(s)

R-Core (function mean), Andri Signorell <andri@signorell.net>

Winsorize

### Examples

## generate data
set.seed(1234)     # for reproducibility
x <- rnorm(10)     # standard normal
x <- x * 10  # introduce outlier

## Trim data
x
Trim(x, trim=0.1)

## Trim fixed number, say cut the 3 extreme elements from each end
Trim(x, trim=3)

## check function
s <- sample(10:20)
s.tr <- Trim(s, trim = 2)
setequal(c(s[attr(s.tr, "trim")], s.tr), s)


[Package DescTools version 0.99.51 Index]