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validate  

Data Validation Infrastructure
View on CRAN: Click here


Download and install validate package within the R console
Install from CRAN:
install.packages("validate")

Install from Github:
library("remotes")
install_github("cran/validate")

Install by package version:
library("remotes")
install_version("validate", "1.1.5")



Attach the package and use:
library("validate")
Maintained by
Mark van der Loo
[Scholar Profile | Author Map]
First Published: 2015-09-01
Latest Update: 2023-03-28
Description:
Declare data validation rules and data quality indicators; confront data with them and analyze or visualize the results. The package supports rules that are per-field, in-record, cross-record or cross-dataset. Rules can be automatically analyzed for rule type and connectivity. Supports checks implied by an SDMX DSD file as well. See also Van der Loo and De Jonge (2018) <doi:10.1002/9781118897126>, Chapter 6 and the JSS paper (2021) <doi:10.18637/jss.v097.i10>.
How to cite:
Mark van der Loo (2015). validate: Data Validation Infrastructure. R package version 1.1.5, https://cran.r-project.org/web/packages/validate. Accessed 10 Apr. 2025.
Previous versions and publish date:
0.1.2 (2015-09-01 18:15), 0.1.3 (2015-09-09 16:31), 0.1.4 (2016-04-15 23:31), 0.1.5 (2016-06-24 19:14), 0.1.7 (2017-04-08 00:54), 0.2.0 (2017-08-07 20:53), 0.2.4 (2018-03-28 16:54), 0.2.5 (2018-06-22 16:55), 0.2.6 (2018-08-01 17:20), 0.9.1 (2019-08-23 15:20), 0.9.2 (2019-08-28 13:40), 0.9.3 (2019-12-16 17:00), 1.0.1 (2020-12-08 12:20), 1.0.2 (2021-03-30 17:50), 1.0.4 (2021-04-29 18:10), 1.1.0 (2021-10-07 10:00), 1.1.1 (2022-03-24 11:40), 1.1.3 (2023-03-28 15:10)
Other packages that cited validate R package
View validate citation profile
Other R packages that validate depends, imports, suggests or enhances
Complete documentation for validate
Functions, R codes and Examples using the validate R package
Some associated functions: add_indicators . aggregate-validation-method . all-validation-method . any-validation-method . as.data.frame-cellComparison-method . as.data.frame-confrontation-method . as.data.frame-expressionset-method . as.data.frame-validatorComparison-method . as.data.frame . barplot-cellComparison-method . barplot-validation-method . barplot-validatorComparison-method . cells . check_that . compare . confront . confrontation-class . contains_exactly . created . description . do_by . errors . event . exists_any . export_yaml . expr . expressionset-class . field_format . field_length . hb . hierarchy . in_range . indication-class . indicator-class . indicator . is_complete . is_linear_sequence . is_unique . keyset . label . lbj_cells-class . lbj_rules-class . length . match_cells . meta . nace_rev2 . names . number_format . origin . part_whole_relation . plot-cellComparison-method . plot-validation-method . plot-validator-method . plot-validatorComparison-method . plus-indicator-indicator-method . plus-validator-validator-method . retailers . rule-class . run_validation_file . rx . samplonomy . satisfying . sdmx_codelist . sdmx_endpoint . select . sort-validation-method . sub-subset-expressionset-method . subset-expressionset-method . syntax . validate-summary . validate . validate_extend . validation-class . validator-class . validator . validator_from_dsd . values . variables . vin . voptions . 
Some associated R codes: compare.R . confrontation.R . expressionset.R . factory.R . genericrules.R . indicator.R . lumberjack.R . parse.R . plot.R . retailers.R . rule.R . run_validation.R . sdmx.R . sugar.R . syntax.R . utils.R . validate_pkg.R . validator.R . yaml.R .  Full validate package functions and examples
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