Plot a csFSS object.
Produces two types of plot from the information in
csFSS object, such as that returned by
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If missing then the plot produces plots that show information on all solutions at once, first in a scatter plot, then in a dendrogram. If provided then the plot produces information on that specific solution.
If TRUE then the dendrogram is plotted, if FALSE it is not.
If TRUE then the two-dimensional scaling solution is plotted. If FALSE, it is not.
If TRUE then solution numbers are plotted on the scaling plot, if produced.
An argument passed to the
Other arguments passed to plot.
This function can produce either a scatterplot, which indicates
the two-dimensional scaling picture of the optimization solution
sets, or a dendrogram showing putative clustering of solutions.
In both cases it is a plot considering ALL solutions at once.
These plots are delegated to the
If the argument
solno is provided then plots are produced
which show information on a single solution. This plot is
delegated to the
Cardinali, A. and Nason, Guy P. (2013) Costationarity of Locally Stationary Time Series Using costat. Journal of Statistical Software, 55, Issue 1.
Cardinali, A. and Nason, G.P. (2010) Costationarity of locally stationary time series. J. Time Series Econometrics, 2, Issue 2, Article 1.
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# # Create dummy data # x1 <- rnorm(32) y1 <- rnorm(32) # # Find stationary combinations # Note: we don't run this example in installation/package formation as # it takes a long time. However, this precise command IS run in # the help to findstysols # ## Not run: ans <- findstysols(Nsims=100, tsx=x1, tsy=y1) # # Produce dendrogram # ## Not run: plot(ans) # # Produce four pictures relating to solution 3 (can also do # par(mfrow=c(2,2)) to make a nice 4 plot on one page.) # ## Not run: plot(ans, solno=3) #solno is 3 #3 #1:
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