adequadExp: test the adequation of a random variable to the exponential...

In rhosp: Side Effect Risks in Hospital : Simulation and Estimation

Description

In order to test the adequation of a random variable, this function plot the probabilit plot with reference distribution exponential of the variable and calculates the Kolmogorov Smirnov test.

Usage

adequadExp(T, toplot = FALSE)

Arguments

T	the random variable on which we want to test the adequation
toplot	a logical to plot the probability graph

Value

a list of the following components

LinearRegression	the result of the linear regression of the ordinate on the abcisse of the probability plot
KolmogorvSmirnovTest	the result of the Kolmogorvo Smirnoc test

Author(s)

Christophe Dutang and Julie Barthes

Examples

## Not run: 
T <- c(12.9622796,  1.4146460,  1.3146761, 14.9147353,  7.5131105,  
8.5130874, 6.5943351, 10.6954653, 14.1000977, 12.4673316,  2.7185478,  
9.6297777, 10.0930441,  0.6270543, 26.7937074,  7.6082447)
adequadExp(T,TRUE)

## End(Not run)

rhosp documentation built on May 1, 2019, 11:27 p.m.