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Produces a grid of scatterplots of a series versus lagged values of the series.
lag1.plot(series, max.lag = 1, corr = TRUE, smooth = TRUE, col = gray(.1), lwl = 1, lwc = 2, bgl = gray(1,.65), ltcol = 1, box.col = 8, cex = .9, ...)
the data
maximum lag
if TRUE, shows the autocorrelation value in a legend
if TRUE, adds a lowess fit to each scatterplot
color of points; default is gray(.1)
gray(.1)
width of lowess line; default is 1
color of lowess line; default is 2 (red)
background of the ACF legend; default is semitransparent white
legend text color; default is black
color of the border of the ACF legend; default is 'gray(62)'
'gray(62)'
size of points; default is .9
additional graphical arguments
D.S. Stoffer
You can find demonstrations of astsa capabilities at FUN WITH ASTSA.
The most recent version of the package can be found at https://github.com/nickpoison/astsa/.
In addition, the News and ChangeLog files are at https://github.com/nickpoison/astsa/blob/master/NEWS.md.
The webpages for the texts and some help on using R for time series analysis can be found at https://nickpoison.github.io/.
lag2.plot
lag1.plot(log(varve), max.lag=9) lag1.plot(soi, 12, cex=1, pch=19, col=astsa.col(4, .3), gg=TRUE, corr=FALSE)
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