Explore >> Select a destination
|
You are here 
|
parsnip.tidymodels.org | ||
| | | | |
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. | |
| | | | |
recipes.tidymodels.org
|
|
| | | | | step_regex() creates a specification of a recipe step that will create a new dummy variable based on a regular expression. | |
| | | | |
ggplot2.tidyverse.org
|
|
| | | | | Aesthetic mappings describe how variables in the data are mapped to visual properties (aesthetics) of geoms. Aesthetic mappings can be set in ggplot() and in individual layers. | |
| | | | |
readr.tidyverse.org
|
|
| | | read_csv() and read_tsv() are special cases of the more general read_delim(). They're useful for reading the most common types of flat file data, comma separated values and tab separated values, respectively. read_csv2() uses ; for the field separator and , for the decimal point. This format is common in some European countries. | ||
