bdai: Bahandary-Dai Test for Homogeniety

In homnormal: Tests of Homogeneity of Variances

Bahandary-Dai Test for Homogeniety

Description

Tests the homogeniety of variances for more than two normal groups using Bahandary-Dai test.

Usage

bdai(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

Bhandary, M., & Dai, H. (2008). An alternative test for the equality of variances for several populations when the underlying distributions are normal. Communications in Statistics-Simulation and Computation, 38(1), 109-117.

See Also

Brown_Forsythe, Cat_GG, Cat_LR, genp, slrt, levene

Examples

   data(FH_data)
   x1=FH_data$SurvivalTime
   x2=FH_data$HospitalNo
   bdai(x1,x2)
   readline(prompt = "Pause. Press <Enter> to continue...")
   bdai(x1,x2,alfa=0.10)
   readline(prompt = "Pause. Press <Enter> to continue...")
    bdai(x1,x2,alfa=0.10,table=FALSE)
    readline(prompt = "Pause. Press <Enter> to continue...")
    bdai(x1,x2,alfa=0.10,table=FALSE,graph="raw")
    readline(prompt = "Pause. Press <Enter> to continue...")
    bdai(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.