countpeaks: Count peaks in a data sequence
In skedastic: Handling Heteroskedasticity in the Linear Regression Model
countpeaks R Documentation
Count peaks in a data sequence
Description
This function computes the number of peaks in a double vector, with
peak defined as per \insertCiteGoldfeld65;textualskedastic. The function
is used in the Goldfeld-Quandt nonparametric test for heteroskedasticity in
a linear model. NA and NaN values in the sequence are ignored.
Usage
countpeaks(x)
Arguments
x
A double vector.
Value
An integer value between 0 and length(x) - 1
representing the number of peaks in the sequence.
References
\insertAllCited
See Also
goldfeld_quandt
Examples
set.seed(9586)
countpeaks(stats::rnorm(20))
mtcars_lm <- lm(mpg ~ wt + qsec + am, data = mtcars)
countpeaks(mtcars_lm$residuals)
skedastic documentation built on May 29, 2024, 12:20 p.m.
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| countpeaks | R Documentation |
Count peaks in a data sequence
Description
This function computes the number of peaks in a double vector, with
peak defined as per \insertCiteGoldfeld65;textualskedastic. The function
is used in the Goldfeld-Quandt nonparametric test for heteroskedasticity in
a linear model. NA and NaN values in the sequence are ignored.
Usage
countpeaks(x)
Arguments
x |
A double vector. |
Value
An integer value between 0 and length(x) - 1
representing the number of peaks in the sequence.
References
\insertAllCitedSee Also
goldfeld_quandt
Examples
set.seed(9586)
countpeaks(stats::rnorm(20))
mtcars_lm <- lm(mpg ~ wt + qsec + am, data = mtcars)
countpeaks(mtcars_lm$residuals)
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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