Accompaniment Package to ModernDive: An Introduction to
Statistical and Data Sciences via R
c(
person("Albert Y.", "Kim", email = "albert.ys.kim@gmail.com", role = "cre"),
person("Chester", "Ismay", email = "chester.ismay@gmail.com", role = "aut"),
person("Andrew", "Bray", email = "abray@reed.edu", role = "ctb")
)
An accompaniment R package to ModernDive: An Introduction to
Statistical and Data Sciences via R available at <http://moderndive.com/>,
in particular wrapper functions targeted at novices to easily generate tidy
linear regression output.
magrittr, dplyr, rlang, tibble, janitor, broom (>= 0.4.3),
formula.tools, stringr, knitr, assertive
Albert Y. Kim [cre],
Chester Ismay [aut],
Andrew Bray [ctb]

Datasets and wrapper functions for tidyverse-friendly introductory linear regression, used in ModernDive: An Introduction to Statistical and Data Sciences via R available at <http://moderndive.com/> and DataCamp's Modeling with Data in the Tidyverse available at <https://www.datacamp.com/courses/modeling-with-data-in-the-tidyverse>.
magrittr, dplyr, tibble, janitor, broom (>= 0.4.3),
formula.tools, stringr, knitr, assertive, infer, rlang

c(
person("Albert Y.", "Kim", email = "albert.ys.kim@gmail.com", role = "cre"),
person("Chester", "Ismay", email = "chester.ismay@gmail.com", role = "aut"),
person("Andrew", "Bray", email = "abray@reed.edu", role = "ctb"),
person("Delaney", "Moran", email = "dmoran@middlebury.edu", role = "ctb")
)
magrittr, dplyr, ggplot2, tibble, janitor, broom (>= 0.4.3),
formula.tools, stringr, knitr, infer, rlang (>= 0.2.0), glue
Albert Y. Kim [cre],
Chester Ismay [aut],
Andrew Bray [ctb],
Delaney Moran [ctb]

c(
person("Albert Y.", "Kim", email = "albert.ys.kim@gmail.com", role = c("aut", "cre")),
person("Chester", "Ismay", email = "chester.ismay@gmail.com", role = "aut"),
person("Andrew", "Bray", email = "abray@reed.edu", role = "ctb"),
person("Delaney", "Moran", email = "dmoran@middlebury.edu", role = "ctb"),
person("Evgeni", "Chasnovski", email = "evgeni.chasnovski@gmail.com", role = "ctb")
)
Datasets and wrapper functions for tidyverse-friendly introductory linear regression, used in "Statistical Inference via Data Science: A ModernDive into R and the Tidyverse" available at <https://moderndive.com/>.
Albert Y. Kim [aut, cre],
Chester Ismay [aut],
Andrew Bray [ctb],
Delaney Moran [ctb],
Evgeni Chasnovski [ctb]