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.


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Provides developer-focused helper functions and S3 classes to ease the creation of structured subtypes of data frames which require certain columns and types to be present, and which preserve special attributes through common data frame manipulations.

Installation

You can install the released version of schmear from CRAN with:

install.packages("schmear")

You can install the development version from GitHub with:

# install.packages("pak")
pak::pak("CoryMcCartan/schmear")

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("schmear")

0.1.0 by Cory McCartan, 5 months ago


https://corymccartan.com/schmear/, https://github.com/CoryMcCartan/schmear


Report a bug at https://github.com/CoryMcCartan/schmear/issues


Browse source code at https://github.com/cran/schmear


Authors: Cory McCartan [aut, cre, cph] (ORCID:


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports rlang, cli, vctrs

Suggests dplyr, pillar, testthat


See at CRAN