Dear R users, I would like to announce the release of the "atsd" R package on CRAN, which offers functions for retrieving time-series and related meta-data such as entities, metrics, and tags from Axibase Time Series Database (ATSD).
http://cran.r-project.org/web/packages/atsd/index.html ATSD runs on top of HBase to collect, analyze and visualize time series data at scale. ATSD capabilities include optimized storage schema, built-in rule engine, forecasting algorithms include Holt-Winters, ARIMA and graphics designed for high-frequency data. Primary use case: IT infrastructure resource monitoring. The main focus of "atsd" R package is to simplify data retrieval. This package eliminates the need to manually retrieve historical data and forecasts, before any advanced analysis is executed. The "atsd" R package fetches data and tags from ATSD, and converts them into a data frame object which can be readily consumed by other R packages. Key supported functions for retrieving data: · query() -- get historical data and forecasts from ATSD. This function supports aggregation: COUNT, MIN, MAX, AVG, WAvg, WTAvg, SUM, PERCENTILES (50%, 75%, 90%, 95%, 99%, 99.5%, 99.9%), STANDARD_DEVIATION. The function also supports interpolation: NONE, STEP, LINEAR. · get_metrics() -- get information about the metrics collected by ATSD. · get_entities() -- get information about the entities collected by ATSD. · to_zoo() -- converts a time-series data frame to 'zoo' object for manipulating irregular time-series with built-in functions in zoo package. The github page can be found here: https://github.com/axibase/atsd-api-r Comments and contributions are welcome. Best Regards, Mikhail Zvagelsky. _______________________________________________ R-packages mailing list r-packa...@r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
