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dataclass  

Easily Create Structured Lists or Data Frames with Input Validation
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", "0.3.0")



Attach the package and use:
library("dataclass")
Maintained by
Chris Walker
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-15
Latest Update: 2023-08-07
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 0.3.0, https://cran.r-project.org/web/packages/dataclass
Previous versions and publish date:
0.1.8 (2023-03-15 09:00), 0.2.1 (2023-03-21 09:50)
Other packages that cited dataclass R package
View dataclass citation profile
Other R packages that dataclass depends, imports, suggests or enhances
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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