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dataclass
View on CRAN: Click
here
Download and install dataclass package within the R console
Install from CRAN:
install.packages("dataclass")
Install from Github:
library("remotes")
install_github("cran/dataclass") Install by package version:
library("remotes")
install_version("dataclass", "1.0.0") Attach the package and use:
library("dataclass")
Maintained by
Chris Walker
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-15
Latest Update:
Description:
Easily define templates for lists and data frames that validate
each element. Specify the expected type (i.e., character, numeric, etc),
expected length, minimum and maximum values, allowable values, and more for
each element in your data. Decide whether violations of these expectations
should throw an error or a warning. This package is useful for validating
data within R processes which pull from dynamic data sources such as
databases and web APIs to provide an extra layer of validation around input
and output data.
How to cite:
Chris Walker (2023). dataclass: Easily Create Structured Lists or Data Frames with Input Validation. R package version 1.0.0, https://cran.r-project.org/web/packages/dataclass. Accessed 27 Jun. 2026.
Previous versions and publish date:
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View dataclass citation profile
Other R packages that dataclass depends,
imports, suggests or enhances
Complete documentation for dataclass
Functions, R codes and Examples using
the dataclass R package
Some associated functions: any_obj . atm_vec . chr_vec . data_validator . dataclass . df_like . dte_vec . lgl_vec . num_vec .
Some associated R codes: dataclass.R . utilities.R . validator.R . Full dataclass package functions and examples
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