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timeSeries (version 4021.104)

TimeSeriesSubsettings: Subsettig Time Series

Description

Subset a 'timeSeries' objects due to different aspects.

["[" method for a 'timeSeries' object,
[<-"[<-" method to assign value for a subset of a 'timeSeries' object,
windowWindows a piece from a 'timeSeries' object,
cutA no longer used synonyme for window,
headReturns the head of a 'timeSeries' object,
tailReturns the tail of a 'timeSeries' object,
outliersRemoves outliers from a 'timeSeries' object.

Usage


# S4 method for timeSeries window(x, start, end, ...)

# S4 method for timeSeries head(x, n = 6, recordIDs = FALSE, ...) # S4 method for timeSeries tail(x, n = 6, recordIDs = FALSE, ...)

# S4 method for timeSeries outlier(x, sd = 3, complement = TRUE, ...)

# S4 method for timeSeries cut(x, from, to, ...)

Value

All functions return an object of class 'timeSeries'.

Arguments

complement

[outlierSeries] -
a logical flag, should the outler series or its complement be returns, by default TRUE which returns the series free of outliers.

from, to

starting date and end date, to must be after from.

start, end

starting date and end date, end must be after start.

n

[head][tail] -
an integer specifying the number of lines to be returned. By default n=6.

recordIDs

[head][tail] -
a logical value. Should the recordIDs returned together with the data matrix and time series positions?

sd

[outlierSeries] -
a numeric value of standard deviations, e.g. 10 means that values larger or smaller tahn ten times the standard deviation will be removed from the series.

x

an object of class timeSeries.

...

arguments passed to other methods.

Examples

Run this code
## Create an Artificial timeSeries Object - 
   setRmetricsOptions(myFinCenter = "GMT")
   charvec <- timeCalendar()
   set.seed(4711)
   data <- matrix(exp(cumsum(rnorm(12, sd = 0.1))))
   tS <- timeSeries(data, charvec, units = "tS")
   tS
   
## Subset Series by Counts "[" - 
   tS[1:3, ]
       
## Subset the Head of the Series - 
   head(tS, 6)

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