You can install the package from CRAN with:
Additionally, you can install the development version of cherryblossom from GitHub with:
#install.packages("devtools") library(devtools) install_github("OpenIntroStat/cherryblossom")
The datasets from this package can be used in a teaching context for data visualization and data manipulation exercises. The columns of the datasets from various years are not consistent, they’re provided in the same format the Cherry Blossom run organizers release the data.
The datasets from this package are used in OpenIntro textbooks and other resources. These datasets originally lived in the openintro package, up until openintro 2.0.0. The motivation for extracting these datasets out of the openintro package was to create a new package where we can continue to add more data from the Cherry Blossom race results. For those looking for a seamless experience with OpenIntro resources, note that the contents of this package will be loaded along with the openintro package as well, so that you can run
library(openintro) and use the datasets from cherryblossom.
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! See here for additional reprex pointers.
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:closed) as needed. For example, you’d simply remove
is:open to search all issues in the repo, open or closed.
The flowers in the hex are from Floral vector created by macrovector - www.freepik.com.
Please note that the cherryblossom project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.