Characterize posterior predictive data

```
getinds(
PPD,
styr,
res = 6,
tsd = c("Cat", "Cat", "Cat", "Ind", "ML"),
stat = c("slp", "AAV", "mu", "slp", "slp")
)
```

## Arguments

- PPD
An object of class Data stored in the Misc slot of an MSE object following a call of `runMSE(PPD = TRUE)`

.

- styr
Positive integer, the starting year for calculation of quantities

- res
Positive integer, the temporal resolution (chunks - normally years) over which to calculate quantities

- tsd
Character vector of names of types of data: Cat = catch, Ind = relative abundance index, ML = mean length in catches

- stat
Character vector of types of quantity to be calculated: slp = slope(log(x)), AAV = average annual variability, mu = mean(log(x))

## Value

A 3D array of results (type of data/stat (e.g. mean catches),time period (chunk), simulation)

## References

Carruthers and Hordyk 2018