ifr_ts_var_test: Two Sample Variance Comparison Test

In inferr: Inferential Statistics

Two Sample Variance Comparison Test

Description

ifr_ts_var_test performs tests on the equality of standard deviations (variances).

Usage

ifr_ts_var_test(
  data,
  ...,
  group_var = NULL,
  alternative = c("less", "greater", "all")
)

Arguments

data	a data.frame or tibble
...	numeric; column(s) in data
group_var	factor; column in data
alternative	a character string specifying the alternative hypothesis, must be one of "both" (default), "greater", "less" or "all". You can specify just the initial letter.

Value

ifr_ts_var_test returns an object of class "ifr_ts_var_test". An object of class "ifr_ts_var_test" is a list containing the following components:

f	f statistic
lower	lower one-sided p-value
upper	upper one-sided p-value
two_tail	two-sided p-value
vars	variances for each level of the grouping variable
avgs	means for each level of the grouping variable
sds	standard deviations for each level of the grouping variable
ses	standard errors for each level of the grouping variable
avg	combined mean
sd	combined standard deviation
se	estimated combined standard error
n1	numerator degrees of freedom
n2	denominator degrees of freedom
lens	number of observations for each level of grouping variable
len	number of observations
lev	levels of the grouping variable
type	alternative hypothesis

Deprecated Function

infer_ts_var_test() has been deprecated. Instead use ifr_ts_var_test().

References

Sheskin, D. J. 2007. Handbook of Parametric and Nonparametric Statistical Procedures, 4th edition. : Chapman & Hall/CRC.

See Also

var.test

Examples

# using grouping variable
ifr_ts_var_test(hsb, read, group_var = female, alternative = 'less')

# using two variables
ifr_ts_var_test(hsb, read, write, alternative = 'less')

inferr documentation built on April 4, 2025, 2:08 a.m.