tibble-package: tibble: Simple Data Frames
Description
Provides a 'tbl_df' class (the 'tibble') that provides stricter checking and better formatting than the traditional data frame.
Arguments
Package options
The following option is used for viewing tabular data with view():
tibble.view_max: Maximum number of rows shown if the input is not a data frame. Default: 1000.
The following options are used by the tibble and pillar packages
to format and print tbl_df objects.
Used by the formatting workhorse trunc_mat() and, therefore,
indirectly, by print.tbl().
tibble.print_max: Row number threshold: Maximum number of rows printed. Set toInfto always print all rows. Default: 20.tibble.print_min: Number of rows printed if row number threshold is exceeded. Default: 10.tibble.width: Output width. Default:NULL(usewidthoption).tibble.max_extra_cols: Number of extra columns printed in reduced form. Default: 100.
pillar.bold: Use bold font, e.g. for column headers? This currently defaults toFALSE, because many terminal fonts have poor support for bold fonts.pillar.subtle: Use subtle style, e.g. for row numbers and data types? Default:TRUE.pillar.subtle_num: Use subtle style for insignificant digits? Default:FALSE, is also affected by thepillar.subtleoption.pillar.neg: Highlight negative numbers? Default:TRUE.pillar.sigfig: The number of significant digits that will be printed and highlighted, default:3. Set thepillar.subtleoption toFALSEto turn off highlighting of significant digits.pillar.min_title_chars: The minimum number of characters for the column title, default:15. Column titles may be truncated up to that width to save horizontal space. Set toInfto turn off truncation of column titles.pillar.min_chars: The minimum number of characters wide to display character columns, default:0. Character columns may be truncated up to that width to save horizontal space. Set toInfto turn off truncation of character columns.
Details
![[Stable]](figures/lifecycle-stable.svg?package=tibble&version=3.1.0)
The tibble package provides utilities for handling tibbles, where
"tibble" is a colloquial term for the S3 tbl_df class. The tbl_df
class is a special case of the base data.frame.
class, developed in response to lessons learned over many years of data
analysis with data frames.
Tibble is the central data structure for the set of packages known as the tidyverse, including dplyr, ggplot2, tidyr, and readr.
General resources:
Website for the tibble package: https://tibble.tidyverse.org
Tibbles chapter in R for Data Science
Resources on specific topics:
Create a tibble:
tibble(),as_tibble(),tribble(),enframe()Inspect a tibble:
print.tbl(),glimpse()
See Also
Useful links: