Performing F-Test in R programming – var.test() Method
Last Updated :
07 Jan, 2022
var.test() Method in R Programming language perform the f-test between two normal populations with some hypothesis that variances of two populations are equal in R programming.
var.test() Method in R Syntax
Syntax: var.test()
Return: Returns the F-Test score for some hypothesis.
var.test() Method in R Programming language Example
Example 1:
R
x <- rnorm (50, mean=0)
y <- rnorm (50, mean=1)
gfg <- var.test (x, y)
print (gfg)
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Output:
F test to compare two variances
data: x and y
F = 1.0779, num df = 49, denom df = 49, p-value = 0.794
alternative hypothesis: true ratio of variances is not equal to 1
95 percent confidence interval:
0.6116778 1.8994484
sample estimates:
ratio of variances
1.077892
Example 2:
R
x <- rnorm (50, mean=1.2)
y <- rnorm (50, mean=1.8)
gfg <- var.test (x, y)
print (gfg)
|
Output:
F test to compare two variances
data: x and y
F = 2.382, num df = 49, denom df = 49, p-value = 0.002911
alternative hypothesis: true ratio of variances is not equal to 1
95 percent confidence interval:
1.351715 4.197491
sample estimates:
ratio of variances
2.381976
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