| summary.lacf | R Documentation | 
Summarizes a lacf object
## S3 method for class 'lacf'
summary(object, ...)
object | 
 The lacf object you wish summarized.  | 
... | 
 Other arguments  | 
None
Guy Nason
Cardinali, A. and Nason, G.P. (2012) Costationarity of Locally 
Stationary Time Series using costat.
Cardinali, A. and Nason, G.P. (2010) Costationarity of locally stationary time series. J. Time Series Econometrics, 2, Issue 2, Article 1.
Nason, G.P. (2013) A test for second-order stationarity and approximate confidence intervals for localized autocovariances for locally stationary time series. J. R. Statist. Soc. B, 75, 879-904. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/rssb.12015")}
lacf, plot.lacf, print.lacf
#
# Make some dummy data, e.g. white noise
#
v <- rnorm(256)
#
# Compute the localized autocovariance (ok, the input is stationary
# but this is just an example. More interesting things could be achieved
# by putting the results of simulating from a LSW process, or piecewise
# stationary by concatenating different stationary realizations, etc.
#
vlacf <- lacf(v, lag.max=20)
#
# Now let's summarize the lacf object
#
summary(vlacf)
#Name of originating time series:  
#Date produced:  Thu Oct 25 12:11:29 2012 
#Number of times:  256 
#Number of lags:  20  
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