`R/Ancillary_Indicators.R`

`plot_crosscorr.Rd`

Produce a cross-correlation plot of the derived data arising from getinds(MSE_object)

```
plot_crosscorr(
indPPD,
indData,
pp = 1,
dnam = c("CS", "CV", "CM", "IS", "MLS"),
res = 1
)
```

- indPPD
A 3D array of results arising from running getind on an MSE of the Null operating model (type of data/stat (e.g. mean catches),time period (chunk), simulation)

- indData
A 3D array of results arising from running getind on an MSE of the Alternative operating model (type of data/stat (e.g. mean catches),time period (chunk), simulation)

- pp
Positive integer, the number of time chunks (blocks of years normally, second dimension of indPPD and indData) to produce the plot for.

- dnam
A character vector of names of the data for plotting purposes (as long as dimension 1 of indPPD and indData).

- res
The size of the temporal blocking that greated indPPD and indData - this is just used for labelling purposes

A cross-correlation plot (ndata-1) x (ndata-1)

Carruthers and Hordyk 2018