Package: schmear 0.1.0

Cory McCartan

schmear: Build Structured Data Frame Subtypes

Provides developer-focused helper functions and S3 classes to ease the creation of structured subtypes of data frames. Developers can require certain columns and types to be present, and can enforce crossing and nesting relationships between values in different columns. Type-specific metadata and attributes are preserved through common data frame manipulations.

Authors:Cory McCartan [aut, cre, cph]

schmear_0.1.0.tar.gz
schmear_0.1.0.tar.gz(r-4.7-any)schmear_0.1.0.tar.gz(r-4.6-any)
schmear_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
schmear/json (API)
NEWS

# Install 'schmear' in R:
install.packages('schmear', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/corymccartan/schmear/issues

Pkgdown/docs site:https://corymccartan.com

On CRAN:

Conda:

1.70 score 19 exports 5 dependencies

Last updated from:3166ea5831. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK103
source / vignettesOK157
linux-release-x86_64OK122
wasm-releaseOK99

Exports:new_sch_dfsch_anysch_charactersch_coercesch_customsch_datesch_datetimesch_factorsch_inheritssch_integersch_list_ofsch_logicalsch_multiplesch_nestsch_numericsch_otherssch_schemasch_validatevalidate_sch_df

Dependencies:cligluelifecyclerlangvctrs

Readme and manuals

Help Manual

Help pageTopics
dplyr integration for sch_dfdplyr-sch_df
Coerce a data frame to conform to a schemasch_coerce
Construct and validate a schema-aware data framenew_sch_df sch_df validate_sch_df
Define a structured data typesch_any sch_character sch_custom sch_date sch_datetime sch_factor sch_inherits sch_integer sch_list_of sch_logical sch_multiple sch_nest sch_numeric sch_others sch_schema
Validate a data frame against a schemasch_validate