A `csFSS`

object contains a set of solutions obtained
from a series of optimizations. Each solution corresponds to
a time-varying linear combination of two time series (or
rather the wavelet coefficients of such combinations) where
the combination has found to be stationary and the optimizer that
got there converged. Often one wishes to interrogate the results,
such as seeing how the solutions cluster, or what their low-dimensional
scaling solution projection looks like, such analyses are produced
by the `COEFbothscale`

function and the whole
plot is marshalled by the `plot.csFSS`

function.

1 2 |

`x` |
The |

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

`plotscale` |
If TRUE then the scaling solution picture is plotted, if FALSE it is not. |

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

`...` |
Other arguments to plot. |

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.

1 2 3 | ```
#
# This function is a helper function for plot.csFSS so see the example there.
#
``` |

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