View source: R/calcExtinctionIndices.r

calc_QSS_extinction_dif_grp | R Documentation |

The Quasi-sign stability is estimated with the maximum eigenvalue of the community matrix (Jacobian) and characterizes
the linear stability of the network. This uses the function `calc_QSS()`

so it can take
into account the interaction strength if weights are present. The comparison is made using the Anderson-Darling test with
the function `kSamples::ad.test()`

and the Kolmogorov-Smirnov test `stats::ks.test()`

, both the p-values are reported as a
measure of strength of the difference.

```
calc_QSS_extinction_dif_grp(
g,
sp_list,
nsim = 1000,
ncores = 4,
istrength = FALSE
)
```

`g` |
igraph network |

`sp_list` |
list with the group pf species/nodes we will delete for the comparison |

`nsim` |
number of simulations to calculate QSS |

`ncores` |
number of cores used to perform the operation |

`istrength` |
if TRUE takes the weight attribute of the network as interaction strength to calculate QSS. |

a data.frame with:

Size of the network with deleted nodes

Connectance of the network with deleted nodes

Number of components of the network with deleted nodes

QSS of the complete network

QSS of the network with the deleted nodes

difference between the two previous QSS

```
## Not run:
g <- netData[[1]]
# Generate random weights
#
V(g)$weight <- runif(vcount(g))
# Without interaction strength
#
calc_QSS_extinction_dif_grp(g,V(g)$name[1:3],nsim=10,istrength = FALSE)
# With interaction strength
#
calc_QSS_extinction_dif_grp(g,V(g)$name[1:3],nsim=10,istrength = TRUE)
## End(Not run)
```

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