Provides tools for working with multiple related tables, stored as data frames or in a relational database. Multiple tables (data and metadata) are stored in a compound object, which can then be manipulated with a pipe-friendly syntax.
Version: | 0.1.6 |
Depends: | R (≥ 3.3) |
Imports: | backports, cli (≥ 2.0.0), DBI, dplyr (≥ 1.0.0), ellipsis, glue, igraph, lifecycle, magrittr, memoise, methods, pillar, purrr, rlang (≥ 0.4.0), tibble, tidyr (≥ 1.0.0), tidyselect (≥ 1.0.0), vctrs (≥ 0.3.2) |
Suggests: | brio, crayon, dbplyr, DiagrammeR, DiagrammeRsvg, digest, fansi, keyring, knitr, nycflights13, odbc, RMariaDB, rmarkdown, RPostgres, RSQLite, testthat (≥ 2.1.0), tidyverse, withr |
Published: | 2020-07-30 |
Author: | Tobias Schieferdecker [aut], Kirill Müller [aut, cre], Darko Bergant [aut], Katharina Brunner [ctb], James Wondrasek [ctb], energie360° AG [fnd], cynkra GmbH [fnd, cph] |
Maintainer: | Kirill Müller <krlmlr+r at mailbox.org> |
BugReports: | https://github.com/krlmlr/dm/issues |
License: | MIT + file LICENSE |
URL: | https://krlmlr.github.io/dm, https://github.com/krlmlr/dm |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | dm results |
Reference manual: | dm.pdf |
Vignettes: |
First read: Getting started with dm How to: Create a dm object from a database How to: Create a dm object from data frames How to: Understand relational data models Technical: Migration guide: 'cdm' -> 'dm' Technical: Class dm and basic operations Techincal: Visualizing dm objects Technical: Filtering in relational data models Technical: Joining in relational data models Technical: Model verification - keys, constraints and normalization Technical: Function naming logic Technical: Zooming and manipulating tables |
Package source: | dm_0.1.6.tar.gz |
Windows binaries: | r-devel: dm_0.1.6.zip, r-release: dm_0.1.6.zip, r-oldrel: dm_0.1.6.zip |
macOS binaries: | r-release: dm_0.1.6.tgz, r-oldrel: dm_0.1.6.tgz |
Old sources: | dm archive |
Reverse suggests: | profile |
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