Nothing
# for reproducibility
set.seed(123)
library(statsExpressions)
# ----------------------- parametric -------------------------------------
# between-subjects
oneway_anova(
data = mtcars,
x = cyl,
y = wt
)
# biased (partial eta-squared) effect size
oneway_anova(
data = mtcars,
x = cyl,
y = wt,
effsize.type = "eta"
)
# within-subjects design
oneway_anova(
data = bugs_long,
x = condition,
y = desire,
subject.id = subject,
paired = TRUE
)
# ----------------------- non-parametric ----------------------------------
# between-subjects
oneway_anova(
data = mtcars,
x = cyl,
y = wt,
type = "np"
)
# within-subjects design
oneway_anova(
data = bugs_long,
x = condition,
y = desire,
subject.id = subject,
paired = TRUE,
type = "np"
)
# ----------------------- robust -------------------------------------
# between-subjects
oneway_anova(
data = mtcars,
x = cyl,
y = wt,
type = "r"
)
# within-subjects design
oneway_anova(
data = bugs_long,
x = condition,
y = desire,
subject.id = subject,
paired = TRUE,
type = "r"
)
# ----------------------- Bayesian -------------------------------------
# between-subjects
oneway_anova(
data = mtcars,
x = cyl,
y = wt,
type = "bayes"
)
# within-subjects design
oneway_anova(
data = bugs_long,
x = condition,
y = desire,
subject.id = subject,
paired = TRUE,
type = "bayes"
)
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