utilMWRoutlier: Identify outliers in a numeric vector
In massbays-tech/MassWateR: Quality Control and Analysis of Massachusetts Water Quality Data
View source: R/utliMWRoutlier.R
utilMWRoutlier R Documentation
Identify outliers in a numeric vector
Description
Identify outliers in a numeric vector
Usage
utilMWRoutlier(x, logscl)
Arguments
x
numeric vector of any length
logscl
logical to indicate if vector should be log10-transformed first
Details
Outliers are identified as 1.5 times the interquartile range
Value
A logical vector equal in length to x indicating TRUE for outliers or FALSE for within normal range
Examples
x <- rnorm(20)
utilMWRoutlier(x, logscl = FALSE)
massbays-tech/MassWateR documentation built on April 12, 2025, 7:53 p.m.
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View source: R/utliMWRoutlier.R
| utilMWRoutlier | R Documentation |
Identify outliers in a numeric vector
Description
Identify outliers in a numeric vector
Usage
utilMWRoutlier(x, logscl)
Arguments
x |
numeric vector of any length |
logscl |
logical to indicate if vector should be log10-transformed first |
Details
Outliers are identified as 1.5 times the interquartile range
Value
A logical vector equal in length to x indicating TRUE for outliers or FALSE for within normal range
Examples
x <- rnorm(20)
utilMWRoutlier(x, logscl = FALSE)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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