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

6 exports 11 stars 1.54 score 4 dependencies 411 downloads

Last updated 2 years agofrom:01df98bd8e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 05 2024
R-4.5-winOKSep 05 2024
R-4.5-linuxOKSep 05 2024
R-4.4-winOKSep 05 2024
R-4.4-macOKSep 05 2024
R-4.3-winOKSep 05 2024
R-4.3-macOKSep 05 2024

Exports:as.ts_tablefile_inforead_ts_tablests_tablettimewrite_ts_table

Dependencies:datetimeutilsfastmatchlatticezoo