| Type: | Package |
| Title: | Trimmed-k Mean Estimator |
| Version: | 1.0.0 |
| Date: | 2025-11-08 |
| Description: | Computes the trimmed-k mean by removing the k smallest and k largest values from a numeric vector. Created for STAT 5400 at the University of Iowa. |
| License: | GPL-3 |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.3.3 |
| Suggests: | knitr, rmarkdown |
| VignetteBuilder: | knitr |
| NeedsCompilation: | no |
| Packaged: | 2025-11-11 03:41:42 UTC; shouhardyo |
| Author: | Shouhardyo Sarkar [aut, cre] |
| Maintainer: | Shouhardyo Sarkar <shouhardyo-sarkar@uiowa.edu> |
| Repository: | CRAN |
| Date/Publication: | 2025-11-13 21:10:10 UTC |
Compute Trimmed-k Mean
Description
This function calculates the trimmed-k mean of a numeric vector by removing the k smallest and k largest values.
Usage
kTrimMean(dat, k)
Arguments
dat |
A numeric vector of data. |
k |
An integer indicating how many smallest and largest values to trim. |
Value
The trimmed-k mean of the data. Returns NA if not enough data points.
Examples
set.seed(5400)
dat <- rexp(20, rate = 0.5)
kTrimMean(dat, k = 2)