bdai {homnormal} | R Documentation |
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