Package: respectables 0.0.4.9000

Gabriel Becker

respectables: Create Relationally-Specified Multi-Table Datasets

This package provides a general framework and utility functions for simulating or synthesizing database-like multiple-table datasets. This is done by defining and then applying data recipes, which support the simulation or derivation of multiple variables jointly and/or conditional on the value of other already existing or recipe-specified variables. It also supports the simulation or augmentation of data which encodes a 1-to-many relationship with a foreign-key in an existing table.

Authors:Gabriel Becker [aut, cre]

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respectables.pdf |respectables.html
respectables/json (API)

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

Peer review:

Bug tracker:https://github.com/roche/respectables/issues

On CRAN:

4.32 score 7 stars 8 scripts 25 exports 11 dependencies

Last updated 3 months agofrom:64d3e5409d. Checks:OK: 1 NOTE: 6. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 17 2024
R-4.5-winNOTEDec 17 2024
R-4.5-linuxNOTEDec 17 2024
R-4.4-winNOTEDec 17 2024
R-4.4-macNOTEDec 17 2024
R-4.3-winNOTEDec 17 2024
R-4.3-macNOTEDec 17 2024

Exports:gen_data_dbgen_reljoin_tablegen_table_datainit_new_colsinject_naslookup_funmiss_as_blockmiss_at_randomno_argsno_depsno_keyno_recpct_origrand_per_keyrand_posixctrep_nrep_per_keysample_fctsample_ynsecs_per_daysecs_per_yearseq_nsubjid_functable_specvalidate_recipe_deps

Dependencies:clifansigluelifecyclemagrittrpillarpkgconfigrlangtibbleutf8vctrs

Introduction to Respectables

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Dec 17 2024.

Last update: 2021-10-25
Started: 2021-10-25

Specifying, Simulating and Synthesizing Relational Data in R

Rendered fromcreating_synth_relational_data.Rmdusingknitr::rmarkdownon Dec 17 2024.

Last update: 2021-10-25
Started: 2021-02-25