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< section id="motivation" class="level2">
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Motivation
Existing R packages, such as pcaPP, provide efficient implementations of the Kendall correlation coefficient. However, I wanted to create my own package exclusively for this purpose, without additional functions, and that it also allows to test hypothesis about the correlation coefficient.
< section id="installation" class="level2">Installation
You can install the development version from GitHub with:
remotes::install_github("pachadotdev/Kendallknight")
< section id="usage" class="level2">
Usage
library(kendallknight) x <- c(1, 2, 3, 4, 5) y <- c(5, 4, 3, 2, 1) kendall_cor(x, y) kendall_cor_test(x, y, "two.sided") > kendall_cor(x, y) [1] -1 > kendall_cor_test(x, y, "two.sided") $statistic [1] -1 $p_value [1] 0.01666667 $alternative [1] "alternative hypothesis: true tau is not equal to 0"< section id="details" class="level2">
Details
The package is mostly implemented in C++ using cpp11 to export the functions to R.
< section id="see-more" class="level2">See more
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