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 |

`na.rm` |
a logical value indicating whether |

### 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>

### See Also

### Examples

```
## generate data
set.seed(1234) # for reproducibility
x <- rnorm(10) # standard normal
x[1] <- x[1] * 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)
```

*DescTools*version 0.99.54 Index]