View source: R/FRpredcorhalf.R
FRpredcorhalf | R Documentation |
This function computes the unidimensional ranked half graph prediction coefficient between two vectors xvec and yvec.
FRpredcorhalf(xvec, yvec, tiemethod = "average")
xvec |
Vector of numeric values in the first coordinate. |
yvec |
Vector of numeric values in the second coordinate. |
tiemethod |
Choice of treatment for ties, default is the "average" |
In the case simple = TRUE, function returns the value of the FR standardized coefficient.
Auxiliary function with no checks for NA, etc.
Sourav Chatterjee, Susan Holmes
Chatterjee, S. and Holmes, S (2020) Practical observations and applications of the robust prediction coefficient.
xicor FRpredcor
# Compute the coefficient and compare to the xi coefficient
simulCompare <- function(n = 20, B = 1000)
{
diffsim <- rep(0,B)
xvec <- 1:n
for (i in 1:B)
{
yvec <- sample(n,n)
diffsim[i] <- FRpredcorhalf(xvec,yvec)-xicor(xvec,yvec)
}
return(diffsim)
}
compare1K <- simulCompare()
summary(compare1K)
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