taub() takes two vectors and returns Kendall's Tau-b as a measure of
rank correlation.
Arguments
- x1
a vector, and one assumes an integer
- x2
a vector, and one assumes an integer
Value
taub() takes two vectors and returns Kendall's Tau-b as a measure of
rank correlation.
Details
I'll be honest that I wrote this just to say that I did write this and that
my workflow would still lean on using the cor() function in base R.
References
Kendall, Maurice G. 1938. "A New Measure of Rank Correlation". Biometrika
30(1/2): 81-93.
Examples
taub(usamex46$vote1, usamex46$vote2)
#> [1] 0.01431261
taub(gmyrus14$gmy, gmyrus14$rus)
#> [1] 0.03031695
# Compare with...
cor(usamex46$vote1, usamex46$vote2, method = 'kendall')
#> [1] 0.01431261
cor(gmyrus14$gmy, gmyrus14$rus, method = 'kendall')
#> [1] 0.03031695