Making base R objects tidy can be done using the following steps:

1. Tidy an lm object:

library(broom)
model <- lm(mpg ~ cyl + qsec, data = mtcars)
tidy(model) 
augment(model)
glance(model)

2. Tidy a t_test object:

t_test_result <- t.test(x = rnorm(20), y = rnorm(20) )
tidy(t_test_result)

3. Tidy an ANOVA object:

anova_result <- aov(Petal.Length ~ Species, data = iris)
tidy(anova_result)
post_hoc <- TukeyHSD(anova_result)
tidy(post_hoc)

4. Tidy a Bioconductor ExpressionSet object:

library(biobroom)
library(Biobase)
load(file.path(getwd(), "datasets", "ch1", "modencodefly_eset.RData") ) 
tidy(modencodefly.eset, addPheno = TRUE)