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)

Repeated Vignette

This vignette analyzes data from a single-factor within-subjects design.

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

---

Data Management

Data Entry

Outcome1 <- c(0, 0, 3, 5)
Outcome2 <- c(4, 7, 4, 9)
Outcome3 <- c(9, 6, 4, 9)
RepeatedData <- data.frame(Outcome1, Outcome2, Outcome3)

Descriptive Statistics

descMeans(RepeatedData)

Analyses of the Means

Confidence Intervals

ciMeans(RepeatedData)
graphMeans(RepeatedData)

ciMeans(RepeatedData, conf.level = .99)
graphMeans(RepeatedData, conf.level = .99, mu = 5)

Significance Tests

nhstMeans(RepeatedData)
nhstMeans(RepeatedData, mu = 5)

Analyses of a Mean Difference

ComparisonData <- data.frame(Outcome1, Outcome2)

Confidence Interval

ciDifference(ComparisonData)
graphDifference(ComparisonData)

ciDifference(ComparisonData, conf.level = .99)
graphDifference(ComparisonData, conf.level = .99)

Significance Test

nhstDifference(ComparisonData)
nhstDifference(ComparisonData, mu = -2)

Analyses of the Pairwise Comparisons

Confidence Intervals

ciPairwise(RepeatedData)
graphPairwise(RepeatedData)

ciPairwise(RepeatedData, conf.level = .99)
graphPairwise(RepeatedData, mu = -2, conf.level = .99)

Significance Tests

nhstPairwise(RepeatedData)
nhstPairwise(RepeatedData, mu = -2)

Analyses of a Set of Contrasts

Confidence Intervals

ciContrasts(RepeatedData, contrasts = contr.sum)
graphContrasts(RepeatedData, contrasts = contr.sum)

ciContrasts(RepeatedData, contrasts = contr.sum, conf.level = .99)
graphContrasts(RepeatedData, contrasts = contr.sum, conf.level = .99)

Significance Tests

nhstContrasts(RepeatedData, contrasts = contr.sum)

Analyses of the Effect

Source Table

descEffect(RepeatedData)

Significance Test

nhstEffect(RepeatedData)

Effect Size

pvaEffect(RepeatedData)

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