cor_test: (partial) correlation test
In sdsfun: Spatial Data Science Complementary Features
cor_test R Documentation
(partial) correlation test
Description
(partial) correlation test
Usage
cor_test(x, y, z = NULL, level = 0.05)
Arguments
x
A numeric vector representing the first variable.
y
A numeric vector representing the second variable.
z
An optional numeric vector or matrix of control variables. If provided, partial correlation is computed.
level
(optional) Significance level. Default is 0.05.
Value
A numeric vector
Examples
gzma = sf::read_sf(system.file('extdata/gzma.gpkg',package = 'sdsfun'))
cor_test(gzma$PS_Score,gzma$EL_Score)
sdsfun documentation built on June 8, 2025, 10:39 a.m.
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| cor_test | R Documentation |
(partial) correlation test
Description
(partial) correlation test
Usage
cor_test(x, y, z = NULL, level = 0.05)
Arguments
x |
A numeric vector representing the first variable. |
y |
A numeric vector representing the second variable. |
z |
An optional numeric vector or matrix of control variables. If provided, partial correlation is computed. |
level |
(optional) Significance level. Default is 0.05. |
Value
A numeric vector
Examples
gzma = sf::read_sf(system.file('extdata/gzma.gpkg',package = 'sdsfun'))
cor_test(gzma$PS_Score,gzma$EL_Score)
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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