Computes the empirical CDF of the data.
Usage
compute_cdf(Y, grid, w = NULL)
Arguments
- Y
(matrix): n x 1 matrix of observed data.
- grid
(matrix): Grid of values to compute the CDF at.
- w
(vector, optional): n-vector of sample weights.
Value
(list): Empirical CDF and its standard deviation at the specified
grid points.
Examples
Y <- c(1, 2, 3, 4, 5)
grid <- seq(0, 6, by = 0.5)
compute_cdf(Y, grid)
#> [[1]]
#> [1] 0.0 0.0 0.2 0.2 0.4 0.4 0.6 0.6 0.8 0.8 1.0 1.0 1.0
#>
#> [[2]]
#> [1] 0.0000000 0.0000000 0.4000000 0.4000000 0.4898979 0.4898979 0.4898979
#> [8] 0.4898979 0.4000000 0.4000000 0.0000000 0.0000000 0.0000000
#>