# easiOrigin
## Factorial Vignette
source("http://raw.githubusercontent.com/cwendorf/easiOrigin/main/source-easiOrigin.R")
### Data Management
#### Data Entry
FactorA <- c(1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2)
FactorB <- c(1, 1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1, 2, 2, 2, 2)
Outcome <- c(0, 0, 3, 5, 4, 7, 4, 9, 9, 6, 4, 9, 3, 6, 8, 3)
FactorA <- factor(FactorA, levels = c(1, 2), labels = c("A1", "A2"))
FactorB <- factor(FactorB, levels = c(1, 2), labels = c("B1", "B2"))
FactorialData <- data.frame(FactorA, FactorB, Outcome)
FactorialData
#### Descriptive Statistics
descMeansBy(Outcome ~ FactorA, by = FactorB)
### Analyses of the Means
#### Confidence Intervals
ciMeansBy(Outcome ~ FactorA, by = FactorB)
ciMeansBy(Outcome ~ FactorA, by = FactorB, conf.level = .99)
#### Significance Tests
nhstMeansBy(Outcome ~ FactorA, by = FactorB)
nhstMeansBy(Outcome ~ FactorA, by = FactorB, mu = 5)
### Analyses of the Effects
#### Source Table
descMultifactor(Outcome ~ FactorA, by = FactorB)
#### Significance Test
nhstMultifactor(Outcome ~ FactorA, by = FactorB)
#### Effect Size
pvaMultifactor(Outcome ~ FactorA, by = FactorB)
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