R-tibble
Port variant std
Summary Simple Data Frames
BROKEN
Package version 3.2.1
Homepage https://tibble.tidyverse.org/
Keywords cran
Maintainer CRAN Automaton
License Not yet specified
Other variants There are no other variants.
Ravenports Buildsheet | History
Ravensource Port Directory | History
Last modified 09 AUG 2024, 21:24:17 UTC
Port created 14 APR 2020, 06:14:40 UTC
Subpackage Descriptions
single tibble: Simple Data Frames Provides a 'tbl_df' class (the 'tibble') with stricter checking and better formatting than the traditional data frame.
Configuration Switches (platform-specific settings discarded)
This port has no build options.
Package Dependencies by Type
Build (only) gmake:primary:std
R:primary:std
icu:dev:std
Build and Runtime R-fansi:single:std
R-lifecycle:single:std
R-magrittr:single:std
R-pillar:single:std
R-pkgconfig:single:std
R-rlang:single:std
R-vctrs:single:std
Runtime (only) R:primary:std
R:nls:std
Download groups
main mirror://CRAN/src/contrib
https://loki.dragonflybsd.org/cranfiles/
Distribution File Information
65a72d0c557fd6e7c510d150c935ed6ced5db7d05fc20236b370f11428372131 565982 CRAN/tibble_3.2.1.tar.gz
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R-broom:std Convert statistical analysis into Tidy tibbles
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R-dbplyr:std 'dplyr' Back End for Databases
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R-doBy:std Groupwise statistics and other utilities
R-dplyr:std Grammar of Data Manipulation
R-dtplyr:std Data Table Back-End for 'dplyr'
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R-modeldata:std Data Sets Useful for Modeling Examples
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R-modelr:std Modelling Functions that Work with the Pipe
R-parsnip:std Common API to Modeling and Analysis Functions
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R-readr:std Read Rectangular Text Data
R-readxl:std Read Excel Files
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R-rematch2:std Tidy Output from Regular Expression Matching
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R-tidymodels:std Easily Install and Load the 'Tidymodels' Packages
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R-tidyr:std Tidy Messy Data
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R-tidyverse:std Easily Install and Load the 'Tidyverse'
R-timetk:std Tool Kit for Working with Time Series
R-tsfeatures:std Time Series Feature Extraction
R-tune:std Tidy Tuning Tools
R-vroom:std Read and Write Rectangular Text Data Quickly
R-waldo:std Find Differences Between R Objects
R-workflowsets:std Create a Collection of 'tidymodels' Workflows
R-yardstick:std Tidy Characterizations of Model Performance