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Series temporales

Vectores de datos muestreados a lo largo del tiempo

Las series temporales representan la evolución en el tiempo de una población o proceso dinámicos. Se utilizan para identificar, modelar y pronosticar patrones y comportamientos de datos que se muestrean durante intervalos de tiempo discretos.

Se recomiendan los horarios antes que los objetos timeseries para este tipo de datos. Los horarios pueden almacenar datos temporales de distintos tipos y cuentan con un amplio conjunto de funciones compatibles para alinear, combinar y realizar cálculos. Para empezar a trabajar con los horarios, consulte Create Timetables.

Funciones

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timeseriesCreate timeseries object
timeseries2timetableConvert timeseries objects to timetable (desde R2021b)
resampleResample time vector in timeseries or tscollection
synchronizeSynchronize and resample two timeseries objects using common time vector
detrendSubtract mean or best-fit line from timeseries object
filterModify frequency content of timeseries objects
idealfiltertimeseries ideal filter
plotPlot timeseries
appendConcatenate timeseries objects in time
addsampleAdd data sample to timeseries object
delsampleRemove sample from timeseries object
setabstimeSet timeseries or tscollection times as date character vectors
setinterpmethodSet default interpolation method for timeseries object
setuniformtimeModify uniform timeseries time vector
getsamplesSubset of timeseries
getsampleusingtimeSubset of timeseries or tscollection data
getdatasamplesAccess timeseries data samples
getdatasamplesizetimeseries data sample size
getabstimeConvert timeseries or tscollection time vector to cell array
getinterpmethodtimeseries interpolation method
getqualitydesctimeseries data quality
iqrInterquartile range of timeseries data
maxMaximum of timeseries data
meanMean of timeseries data
medianMedian of timeseries data
minMinimum of timeseries data
stdStandard deviation of timeseries data
sumSum of timeseries data
varVariance of timeseries data
tscollectionCreate tscollection object
addtsAdd timeseries to tscollection
removetsRemove timeseries from tscollection
addsampletocollectionAdd sample to tscollection
delsamplefromcollectionDelete sample from tscollection
gettimeseriesnamesNames of timeseries in tscollection
settimeseriesnamesRename timeseries in tscollection
tsdata.eventCreate tsdata.event object
addeventAdd event to timeseries
deleventRemove event from timeseries
findEventQuery tsdata.event by name
getTimeStrQuery tsdata.event times
gettsafterateventCreate timeseries at or after event
gettsaftereventCreate timeseries after event
gettsateventCreate timeseries at event
gettsbeforeateventCreate timeseries at or before event
gettsbeforeeventCreate timeseries before event
gettsbetweeneventsCreate timeseries between events

Temas

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