In cwendorf/easiOrigin: easiOrigin

# suppress the warnings and other messages from showing in the knitted file.
knitr::opts_chunk$set(fig.width = 7, fig.height = 5, fig.path = "figures/", echo = TRUE, warning = FALSE, message = FALSE)
devtools::source_gist("8e6e5dc401e3fc1042ef7a030f9d19c7", filename = "revised_toc.R")

if (!require(easiOrigin)) {
  if (!require(remotes)) install.packages("remotes")
  remotes::install_github("cwendorf/easiOrigin")
}
library(easiOrigin)

OneWay Vignette

This vignette analyzes data from a one-way between-subjects design.

thisfile <- knitr::current_input()
revised_toc(thisfile, base_level = 3, toc_depth = 4)

---

Data Management

Data Entry

Factor <- c(rep(1, 4), rep(2, 4), rep(3, 4))
Outcome <- c(0, 0, 3, 5, 4, 7, 4, 9, 9, 6, 4, 9)
Factor <- factor(Factor, levels = c(1, 2, 3), labels = c("Level1", "Level2", "Level3"))
OneWayData <- data.frame(Factor, Outcome)

Descriptive Statistics

descMeans(Outcome ~ Factor)

Analyses of the Means

Confidence Intervals

ciMeans(Outcome ~ Factor)
graphMeans(Outcome ~ Factor)

ciMeans(Outcome ~ Factor, conf.level = .99)
graphMeans(Outcome ~ Factor, conf.level = .99, mu = 5)

Significance Tests

nhstMeans(Outcome ~ Factor)
nhstMeans(Outcome ~ Factor, mu = 5)

Analyses of a Mean Difference

Comparison <- factor(Factor, c("Level1", "Level2"))

Confidence Interval

ciDifference(Outcome ~ Comparison)
graphDifference(Outcome ~ Comparison)

ciDifference(Outcome ~ Comparison, conf.level = .99)
graphDifference(Outcome ~ Comparison, conf.level = .99)

Significance Test

nhstDifference(Outcome ~ Comparison)
nhstDifference(Outcome ~ Comparison, mu = -2)

Analyses of the Pairwise Comparisons

Confidence Intervals

ciPairwise(Outcome ~ Factor)
graphPairwise(Outcome ~ Factor)

ciPairwise(Outcome ~ Factor, conf.level = .99)
graphPairwise(Outcome ~ Factor, mu = -2, conf.level = .99)

Significance Tests

nhstPairwise(Outcome ~ Factor)
nhstPairwise(Outcome ~ Factor, mu = -2)

Analyses of a Set of Contrasts

Confidence Intervals

ciContrasts(Outcome ~ Factor, contrasts = contr.sum)
graphContrasts(Outcome ~ Factor, contrasts = contr.sum)

ciContrasts(Outcome ~ Factor, contrasts = contr.sum, conf.level = .99)
graphContrasts(Outcome ~ Factor, contrasts = contr.sum, conf.level = .99)

Significance Tests

nhstContrasts(Outcome ~ Factor, contrasts = contr.sum)

Analyses of the Effect

Source Table

descEffect(Outcome ~ Factor)

Significance Test

nhstEffect(Outcome ~ Factor)

Effect Size

pvaEffect(Outcome ~ Factor)

cwendorf/easiOrigin documentation built on Nov. 1, 2023, 10:57 a.m.