knitr::opts_chunk$set(
  error = TRUE,
  collapse = TRUE,
  comment = "#>",
  out.width = "100%"
)
library(testthat)
library(jeksterslabRboot)
context("Test nhstplot.")

Alpha Level

Two-Tailed

nhstplot(
  alpha = 0.05,
  dist = "z",
  statistic = 3
)
nhstplot(
  alpha = 0.05,
  dist = "t",
  df = 5
)

One-Tailed

nhstplot(
  alpha = 0.05,
  two.tailed = FALSE,
  right.tail = TRUE
)
nhstplot(
  alpha = 0.05,
  two.tailed = FALSE,
  right.tail = FALSE
)
nhstplot(
  alpha = 0.05,
  dist = "t",
  two.tailed = FALSE,
  right.tail = TRUE,
  df = 5
)
nhstplot(
  alpha = 0.05,
  dist = "t",
  two.tailed = FALSE,
  right.tail = FALSE,
  df = 5
)
nhstplot(
  alpha = 0.05,
  dist = "F",
  df1 = 10,
  df2 = 3
)
nhstplot(
  alpha = 0.05,
  dist = "chisq",
  df = 3
)

Confidence Interval

Two-Tailed

nhstplot(
  alpha = 0.05,
  ci = TRUE,
  dist = "z",
  statistic = 3
)
nhstplot(
  alpha = 0.05,
  ci = TRUE,
  dist = "t",
  df = 5
)

One-Tailed

nhstplot(
  alpha = 0.05,
  ci = TRUE,
  two.tailed = FALSE,
  right.tail = TRUE
)
nhstplot(
  alpha = 0.05,
  ci = TRUE,
  two.tailed = FALSE,
  right.tail = FALSE
)
nhstplot(
  alpha = 0.05,
  ci = TRUE,
  dist = "t",
  two.tailed = FALSE,
  right.tail = TRUE,
  df = 5
)
nhstplot(
  alpha = 0.05,
  ci = TRUE,
  dist = "t",
  two.tailed = FALSE,
  right.tail = FALSE,
  df = 5
)
nhstplot(
  alpha = 0.05,
  ci = TRUE,
  dist = "F",
  df1 = 10,
  df2 = 3
)
nhstplot(
  alpha = 0.05,
  ci = TRUE,
  dist = "chisq",
  df = 3
)
test_that("error", {
  expect_error(
    nhstplot(
      alpha = c(
        0.001,
        0.01,
        0.05
      )
    )
  )
})


jeksterslabds/jeksterslabRboot documentation built on July 20, 2020, 12:56 p.m.