tidystats (version 0.3)

tidy_stats: Create a tidy stats data frame from a statistical output object

Description

tidy_stats is a generic function that calls one of the specific tidy_stats functions dependent on the type of model (e.g., htest, lm, aov).

Usage

tidy_stats(model)

Arguments

model

Output of a statistical test

Examples

# NOT RUN {
# Example: t-test
model_t_test <- t.test(extra ~ group, data = sleep)
tidy_stats(model_t_test)

# Example: correlation
x <- c(44.4, 45.9, 41.9, 53.3, 44.7, 44.1, 50.7, 45.2, 60.1)
y <- c( 2.6,  3.1,  2.5,  5.0,  3.6,  4.0,  5.2,  2.8,  3.8)

model_correlation <- cor.test(x, y)
tidy_stats(model_correlation)

# Example: Regression
ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14)
trt <- c(4.81,4.17,4.41,3.59,5.87,3.83,6.03,4.89,4.32,4.69)
group <- gl(2, 10, 20, labels = c("Ctl","Trt"))
weight <- c(ctl, trt)

model_lm <- lm(weight ~ group)
tidy_stats(model_lm)

# Example: ANOVA
model_aov <- aov(yield ~ block + N * P * K, npk)
tidy_stats(model_aov)

# Example: Within-subjects ANOVA
model_aov_within <- aov(extra ~ group + Error(ID/group), data = sleep)
tidy_stats(model_aov_within)

# }