Objects to manipulate sequential and seasonal time series. Sequential time
series based on time instants and time durations are handled. Both can be
regularly or unevenly spaced (overlapping durations are allowed).
Only POSIX* format are used for dates and times.
The following classes are provided : POSIXcti, POSIXctp,
TimeIntervalDataFrame, TimeInstantDataFrame, SubtimeDataFrame ;
methods to switch from a class to another and to modify the time support
of series (hourly time series to daily time series for instance) are also
defined.
Tools provided can be used for instance to handle environmental monitoring
data (not always produced on a regular time base).
Features
- R package (available on CRAN http://cran.r-project.org/ )
- sequential (instants or durations and possibly uneven) and seasonnal time series in R
- sequential (unevenly extended and-or distributed) time series class
- seasonal time series class
- time intervals class
- time periods class
- sequential and seasonal time series aggregation in R
- sequential and seasonal time series disaggregation in R
- sequential and seasonal time series manipulation in R
- sequential and seasonal time series representation
- sequential time series conversion to seasonal time series
- sequential time series conversion
- time computation (lagging, ...)
Categories
Information AnalysisFollow timetools (for r-cran)
Other Useful Business Software
Server and Application Monitor helps you discover application dependencies to help identify relationships between application servers. Drill into those connections to view the associated network performance such as latency and packet loss, and application process resource utilization metrics such as CPU and memory usage. Determine if process utilization or network performance is affecting the application and end-user performance.
Rate This Project
Login To Rate This ProjectUser Reviews
Be the first to post a review of timetools (for r-cran)!