Last data update: 2014.03.03
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R: Lag plot for time series data
Lag plot for time series data
Description
The function lagPlot() plots a time series variable against its lagged values or
against the lagged values of an explanatory variable.
Usage
lagPlot(y, x = NULL, lags = 0, corr = TRUE, smooth = TRUE)
Arguments
y |
time-series (univariate)
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x |
explanatory variable
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lags |
number of lag plots desired
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corr |
whether to include the coirrelation in the plot
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smooth |
whether to plot the smooting curve
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Details
The function uses the functions lag.plo1() and lag.plo2() desribed in Shumway and Stoffer (2011) page 56.
Value
A plot is produded.
Author(s)
Mikis Stasinopoulos
References
Shumway R. H. and Stoffer D. S. (2011) Time Series Analysis and Its Applications, With R Examples. (third edition), Springer, New York,
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See Also
lag.plot
Examples
dax<-EuStockMarkets[,"DAX"]
ftse<-EuStockMarkets[,"FTSE"]
lagPlot(dax, lags=9)
lagPlot(dax, ftse, lags=8)
Results
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