slrt: Standartized Likelihood Ratio Test for Homogeniety

In homnormal: Tests of Homogeneity of Variances

Standartized Likelihood Ratio Test for Homogeniety

Description

Tests the homogeniety of variances for more than two normal groups using standartized likelihood ratio test.

Usage

slrt(x1, x2, alfa = 0.05, table = TRUE, graph = "none")

Arguments

x1	a numeric matrix containing the values of groups.
x2	numeric matrix containing the values of group numbers.
alfa	significance level of the test. Default number is 0.05.
table	a logical variable that indicates table will appear or not. Default is TRUE.
graph	box plot of groups of raw or centered data.

Value

if table is TRUE, then it gives a detailed table, else it gives a vector of r value(r=1 when null hypothesis was rejected and r=0 when null hypothesis was accepted) p-value and test statistic value.

References

Gökpınar, E. (2020). Standardized likelihood ratio test for homogeneity of variance of several normal populations. Communications in Statistics-Simulation and Computation, 1-11.

See Also

Brown_Forsythe, datagen,levene, Cat_LR, genp

Examples

   data(FH_data)
   x1=FH_data$SurvivalTime
   x2=FH_data$HospitalNo
   slrt(x1,x2)
   readline(prompt = "Pause. Press <Enter> to continue...")
   slrt(x1,x2,alfa=0.10)
   readline(prompt = "Pause. Press <Enter> to continue...")
    slrt(x1,x2,alfa=0.10,table=FALSE)
    readline(prompt = "Pause. Press <Enter> to continue...")
    slrt(x1,x2,alfa=0.10,table=FALSE,graph=FALSE)
    readline(prompt = "Pause. Press <Enter> to continue...")
    slrt(x1,x2,alfa=0.10,table=FALSE,graph="none")
# ---THIS VERSION IS ESPECIALLY USEFUL FOR COMPARISON STUDIES BY SIMULATION---
#    #first value of the vector is r value(r=1 when rejected and r=0 when accepted null hypothesis)
# second value of the vector is the p-value and third value is the tests statistic value

homnormal documentation built on Feb. 16, 2023, 7:47 p.m.