IQRw: The (weighted) Interquartile Range
In DescTools: Tools for Descriptive Statistics
IQRw R Documentation
The (weighted) Interquartile Range
Description
computes interquartile range of the x values. Weights are supported.
Usage
IQRw(x, weights = NULL, na.rm = FALSE, type = 7)
Arguments
x
a numeric vector.
weights
an optional numeric vector giving the sample weights.
na.rm
logical. Should missing values be removed?
type
an integer selecting one of the many quantile algorithms, see Quantile().
Details
This implementation is based on Quantile() function, which allows to define weights.
Author(s)
Andri Signorell <andri@signorell.net>
See Also
Median(), Quantile(), IQR(), quantile()
Examples
x <- c(3.7,3.3,3.5,2.8)
w <- c(5, 5, 4, 1)/15
IQRw(x=x, weights=w)
DescTools documentation built on April 4, 2025, 1:55 a.m.
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| IQRw | R Documentation |
The (weighted) Interquartile Range
Description
computes interquartile range of the x values. Weights are supported.
Usage
IQRw(x, weights = NULL, na.rm = FALSE, type = 7)
Arguments
x |
a numeric vector. |
weights |
an optional numeric vector giving the sample weights. |
na.rm |
logical. Should missing values be removed? |
type |
an integer selecting one of the many quantile algorithms, see |
Details
This implementation is based on Quantile() function, which allows to define weights.
Author(s)
Andri Signorell <andri@signorell.net>
See Also
Median(), Quantile(), IQR(), quantile()
Examples
x <- c(3.7,3.3,3.5,2.8)
w <- c(5, 5, 4, 1)/15
IQRw(x=x, weights=w)
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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