test_stat: Kolmogorov-Smirnov Test Statistic
In GSSE: Genotype-Specific Survival Estimation

Description Usage Arguments Details Value References See Also Examples

View source: R/test_stat.R

This function is used to calculate the Kolmogorov-Smirnov statistic: D(F_1, F_2) = \sup_{x}|F_1(x) - F_2(x)| .

1	test_stat (F1, F2)

`F1`	vector of one distribution function value.
`F2`	vector of the other distribution function value.

It is necessary to point out that F1 and F2 are based on common grids. Other technical details can be found in Wang et al. (2015).

This function returns a list of prediction values for classes,

out

value of Kolmogorov-Smirnov statistics.

Wang, Y., Liang, B., Tong, X., Marder, K., Bressman, S., Orr-Urtreger, A., Giladi, N. & Zeng, D. (2015). Efficient estimation of nonparametric genetic risk function with censored data. Biometrika, 102(3), 515-532.

Permutation_Test()

 X = seq(0.01, 1, 0.05);
 Func_1 = function(x){ x + runif(length(x), min=0, max=1) };
 Func_2 = function(x){ x + 2*runif(length(x), min=0, max=1) };
 
 U1 = Func_1(X);
 U2 = Func_2(X);
 
 test_stat (F1 = U1, F2 = U2);