Produces two types of plot from the information in
a `csFSS`

object, such as that returned by
`findstysols`

.

1 2 3 |

`x` |
The |

`solno` |
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. |

`ALLplotclust` |
If TRUE then the dendrogram is plotted, if FALSE it is not. |

`ALLplotscale` |
If TRUE then the two-dimensional scaling solution is plotted. If FALSE, it is not. |

`sollabels` |
If TRUE then solution numbers are plotted on the scaling plot, if produced. |

`SNinc` |
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 `plot.csFSSgr`

function.

If the argument `solno`

is provided then plots are produced
which show information on a single solution. This plot is
delegated to the `LCTSres`

function.

None.

G.P.Nason

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.

`findstysols`

,
`LCTSres`

,
`plot.csFSSgr`

, `print.csFSS`

,
`summary.csFSS`

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | ```
#
# 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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