Time Series
Data vectors sampled over time
Time series represent the time-evolution of a dynamic population or process. They are used to identify, model, and forecast patterns and behaviors in data that is sampled over discrete time intervals.
Timetables are recommended over timeseries
objects for this type of data. Timetables can store time-stamped data of varying types and have a broad set of supporting functions to align, combine, and perform calculations. To get started with timetables, see Create Timetables.
Fonctions
Rubriques
- Time Series Objects and Collections
There are two types of time series objects in MATLAB®, a
timeseries
object and atscollection
object.