# levenes.test

From sur v1.0.0
by Daphna Harel

##### Levene's Test for Homogeneity of Variance

Function to test the homogeneity of variance for two populations, an assumption of the independent samples t-test. The null hypothesis tested is that the two population variances are equal; the alternative is that the two population variances are not equal.

##### Usage

`levenes.test(y, group)`

##### Arguments

- y
outcome variable of interest, given as a numeric object.

- group
a factor or character object with two levels indicating group membership.

##### Value

An anova table containing test results: two values for degrees of freedom, the *F*-value, and the *p*-value.

##### See Also

##### Examples

```
# NOT RUN {
# using simple data frame
value = c(7,2,4,4,8,3,61,2,80,4)
grp = rep(c("A","B"), each = 5)
ex_data = data.frame(value = value, grp = grp)
levenes.test(ex_data$value, group = ex_data$grp)
# using variable without NA values
levenes.test(NELS$famsize, group = NELS$gender)
# using variable with NA values
levenes.test(NELS$achrdg12, group = NELS$gender)
# }
```

*Documentation reproduced from package sur, version 1.0.0, License: GPL (>= 2)*

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