Package: tsdb 1.1-0

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).

Authors:Enrico Schumann [aut, cre]

tsdb_1.1-0.tar.gz
tsdb_1.1-0.zip(r-4.5)tsdb_1.1-0.zip(r-4.4)tsdb_1.1-0.zip(r-4.3)
tsdb_1.1-0.tgz(r-4.4-any)tsdb_1.1-0.tgz(r-4.3-any)
tsdb_1.1-0.tar.gz(r-4.5-noble)tsdb_1.1-0.tar.gz(r-4.4-noble)
tsdb_1.1-0.tgz(r-4.4-emscripten)tsdb_1.1-0.tgz(r-4.3-emscripten)
tsdb.pdf |tsdb.html
tsdb/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/enricoschumann/tsdb/issues

On CRAN:

csvtime-seriestsdb

3.04 score 11 stars 318 downloads 6 exports 4 dependencies

Last updated 18 days agofrom:93c55e13e2. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-winOKNov 05 2024
R-4.5-linuxOKNov 05 2024
R-4.4-winOKNov 05 2024
R-4.4-macOKNov 05 2024
R-4.3-winOKNov 05 2024
R-4.3-macOKNov 05 2024

Exports:as.ts_tablefile_inforead_ts_tablests_tablettimewrite_ts_table

Dependencies:datetimeutilsfastmatchlatticezoo