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openintro
Supplemental functions and data for ‘OpenIntro’ resources, which
includes open-source textbooks and resources for introductory statistics
at openintro.org. The package contains
data sets used in our open-source textbooks along with custom plotting
functions for reproducing book figures. The package also contains the
datasets used in OpenIntro labs. Note that many functions and examples
include color transparency; some plotting elements may not show up
properly (or at all) when run in some versions of Windows operating
system.
Installation
You can install the released version of openintro from
CRAN with:
install.packages("openintro")
You can install the development version of openintro from GitHub with:
This package was produced as part of the OpenIntro project. For the
accompanying textbook, visit openintro.org. A
PDF of the textbook is free and paperbacks can be purchased online
(royalty-free).
Questions, bugs, feature requests
You can file an issue to get help, report a bug, or make a feature
request.
When filing an issue to get help or report a bug, please make a minimal
reproducible example using the
reprex package. If you haven’t heard of
or used reprex before, you’re in for a treat! Seriously, reprex will
make all of your R-question-asking endeavors easier (which is a pretty
insane ROI for the five to ten minutes it’ll take you to learn what it’s
all about). For additional reprex pointers, check out the Get
help! section of the tidyverse site.
Before opening a new issue, be sure to search issues and pull
requests to make
sure the bug hasn’t been reported and/or already fixed in the
development version. By default, the search will be pre-populated with
is:issue is:open. You can edit the
qualifiers
(e.g. is:pr, is:closed) as needed. For example, you’d simply remove
is:open to search all issues in the repo, open or closed.
Code of Conduct
Please note that the openintro project is released with a Contributor
Code of
Conduct.
By contributing to this project, you agree to abide by its terms.