Brown_Forsythe {homnormal}

Brown-Forsythe Test for Homogeniety

Description

Tests the homogeniety of variances for more than two normal groups.

Usage

Brown_Forsythe(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

Brown, M. B., & Forsythe, A. B. (1974). Robust tests for the equality of variances. Journal of the American Statistical Association, 69(346), 364-367.

See Also

bdai, Cat_GG, Cat_LR, genp, slrt, levene,

Examples

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