randInterval: Randomization-Based Null Interval

Description

Calculates randomization-based intervals under the null hypothesis for the specified estimands of interest and coverage levels.

Usage

randInterval(results, coverage = 0.95)

Arguments

results

a resultant object of the randTest function.

coverage

a number specifying the desired coverage level (defaults to 0.95).

Value

A randomization-based interval (or multiple intervals) under the null hypothesis with the specified coverage level.

Details

If multiple tests are conducted simultaneously, users should be wary of multiple comparisons and make adjustments accordingly (e.g., Bonferroni corrections).

Examples

Run this code

## Completely randomized design example
## with one treatment factor at two levels
w = c(rep(0,5), rep(1,5))
y = rnorm(10, mean = 0, sd = 1)
## Two-sided test
twoSidedTest = randTest(y, w, nperm = 50, calcTestStat = diffMeans)
randInterval(twoSidedTest)

## Reading comprehension pre- and post-test example
data(reading)
## Testing within-block pairwise effects
readingTest=randTest(y = reading$Diff1, w = reading$Group, nperm = 50,
    calcTestStat = withinBlockEffects,
    calcOptions = list(block = reading$Block,
    pairs = rbind(c("Basal", "DRTA"), c("Basal", "Strat"),
        c("DRTA", "Strat"), c("Basal", "DRTA"),
        c("Basal", "Strat"), c("DRTA", "Strat")),
    blockindex = c(rep(1,3), rep(2,3))),
    randOptions = list(type = "block", block = reading$Block))
randInterval(readingTest)