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tsdb: Terribly-Simple Data Base for Time Series

A terribly-simple data base for numeric time series, written purely in R, so no external database-software is needed. Series are stored in plain-text files (the most-portable and enduring file type) in CSV format. Timestamps are encoded using R's native numeric representation for 'Date'/'POSIXct', which makes them fast to parse, but keeps them accessible with other software. The package provides tools for saving and updating series in this standardised format, for retrieving and joining data, for summarising files and directories, and for coercing series from and to other data types (such as 'zoo' series).

Version: 1.1-0
Imports: datetimeutils, fastmatch, utils, zoo
Suggests: data.table, tinytest
Published: 2023-02-20
Author: Enrico Schumann ORCID iD [aut, cre]
Maintainer: Enrico Schumann <es at enricoschumann.net>
License: GPL-3
URL: http://enricoschumann.net/R/packages/tsdb/, https://github.com/enricoschumann/tsdb, https://gitlab.com/enricoschumann/tsdb
NeedsCompilation: no
Materials: NEWS ChangeLog
In views: TimeSeries
CRAN checks: tsdb results

Documentation:

Reference manual: tsdb.pdf

Downloads:

Package source: tsdb_1.1-0.tar.gz
Windows binaries: r-devel: tsdb_1.1-0.zip, r-release: tsdb_1.1-0.zip, r-oldrel: tsdb_1.1-0.zip
macOS binaries: r-release (arm64): tsdb_1.1-0.tgz, r-oldrel (arm64): tsdb_1.1-0.tgz, r-release (x86_64): tsdb_1.1-0.tgz, r-oldrel (x86_64): tsdb_1.1-0.tgz
Old sources: tsdb archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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