wecdf {extremefit} | R Documentation |
Calculate the values of the weighted empirical cumulative distribution function for a given vector of data
wecdf(X, x, weights = rep(1, length(X)))
X |
the vector of data to create the wecdf. |
x |
the vector of data that you want the corresponding wecdf values. |
weights |
the weights applicated to the vector X. |
Give the value of the wecdf. If the weights are 1 (the default value), the wecdf become the ecdf of X.
Return a vector of the wecdf values corresponding to x given a reference vector X with weights weights.
X <- rpareto(10) x <- seq(0.8, 50, 0.01) plot(x, wecdf(X, x, rep(1,length(X)))) #to compare with the ecdf function f <- ecdf(X) lines(x, f(x), col = "red", type = "s")