Explore >> Select a destination
|
You are here 
|
www.rplumber.io | ||
| | | | |
parsnip.tidymodels.org
|
|
| | | | | augment() will add column(s) for predictions to the given data. | |
| | | | |
roxygen2.r-lib.org
|
|
| | | | | The basics of roxygen2 tags and how to use them for documenting functions. | |
| | | | |
pillar.r-lib.org
|
|
| | | | | glimpse() is like a transposed version of print(): columns run down the page, and data runs across. This makes it possible to see every column in a data frame. It's a little like str() applied to a data frame but it tries to show you as much data as possible. (And it always shows the underlying data, even when applied to a remote data source.) See format_glimpse() for details on the formatting. | |
| | | | |
conormclaughlin.net
|
|
| | | ChatGPT is able to create and edit data visualization code, leveraging both ggplot2 and Seaborn. This post contains a small set of examples | ||
