wt.corr {LPWC} | R Documentation |
This function computes weighted Pearson correlation between two vectors with weights given. The output is between -1 and 1 with 1 being highly positively correlated, -1 being highly negatively correlated, and 0 being no correlation
wt.corr(x, y, w)
x |
a vector |
y |
a vector with same length of x |
w |
a vector with same length of x and y |
a numerical value of weighted Pearson correlation
https://en.wikipedia.org/wiki/Pearson_correlation_coefficient#Weighted_correlation_coefficient
wt.corr(c(1, 2, -9, 4, 5), c(2:6), c(0.5, 1, 2, 0.5, 2))
wt.corr(rnorm(5), rnorm(5), runif(5, 0, 1))