View source: R/summary_functions.R
CC  R Documentation 
Computes the congruence coefficient, also known as an "unadjusted" correlation or Tucker's congruence coefficient.
CC(x, y = NULL, unname = FALSE)
x 
a vector or 
y 
(optional) the second vector input to use if

unname 
logical; apply 
Phil Chalmers rphilip.chalmers@gmail.com
Chalmers, R. P., & Adkins, M. C. (2020). Writing Effective and Reliable Monte Carlo Simulations
with the SimDesign Package. The Quantitative Methods for Psychology, 16
(4), 248280.
doi: 10.20982/tqmp.16.4.p248
Sigal, M. J., & Chalmers, R. P. (2016). Play it again: Teaching statistics with Monte
Carlo simulation. Journal of Statistics Education, 24
(3), 136156.
doi: 10.1080/10691898.2016.1246953
cor
vec1 < runif(1000) vec2 < runif(1000) CC(vec1, vec2) # compare to cor() cor(vec1, vec2) # column input df < data.frame(vec1, vec2, vec3 = runif(1000)) CC(df) cor(df)
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