Varians

#Input Data
varians = read.table(file.choose(), header = TRUE)
View(varians)

library(car) #install package 'car' terlebih dahulu

## Warning: package 'car' was built under R version 4.6.2

## Loading required package: carData

## Warning: package 'carData' was built under R version 4.6.2

leveneTest(varians$Nilai, varians$Kelas)

## Warning in leveneTest.default(varians$Nilai, varians$Kelas): varians$Kelas
## coerced to factor.

## Levene's Test for Homogeneity of Variance (center = median)
##       Df F value Pr(>F)
## group  2  0.4267 0.6604
##       15

library(lawstat) #install package 'lawstat' terlebih dahulu

## Warning: package 'lawstat' was built under R version 4.6.2

## 
## Attaching package: 'lawstat'

## The following object is masked from 'package:car':
## 
##     levene.test

data(varians)

## Warning in data(varians): data set 'varians' not found

levene.test(varians[,"Nilai"], varians[,"Kelas"], location="median",correction.method="zero.correction")

## 
##  Modified robust Brown-Forsythe Levene-type test based on the absolute
##  deviations from the median with modified structural zero removal method
##  and correction factor
## 
## data:  varians[, "Nilai"]
## Test Statistic = 0.4372, p-value = 0.6557

levene.test(varians[,"Nilai"], varians[,"Kelas"], location="mean",correction.method="zero.correction")

## 
##  Classical Levene's test based on the absolute deviations from the mean
##  ( zero.correction not applied because the location is not set to median
##  )
## 
## data:  varians[, "Nilai"]
## Test Statistic = 0.64903, p-value = 0.5366