Description Usage Arguments Value Examples

Acts as a wrapper for the `shrink`

function. IMPORTANT: the columns of your matrix must be named speciesname-samplename,
with a hyphen separating them. E.g. species1-sample1, species2-sampleb, etc etc. The hyphen is used to split the names and so is (currently)
non-negotiable.

1 2 | ```
netreducing(input, input_type, n_iterations = 100, min_nodes, metric_chosen,
type_chosen, level = NA, collapse_cols = T)
``` |

`input` |
Your input object |

`input_type` |
The type of your input object. Can be either 'matrix' or 'list' |

`n_iterations` |
The number of iterations you wish to perform per number of nodes selected |

`min_nodes` |
The minimum number of columns to be allowed in the matrix tested. For example, if you input a matrix with ten columns and set a min_nodes of 5, the function will test your network with 5, 6, 7, 8, and 9 nodes. |

`metric_chosen` |
The metric you would like to analyse. Can be any value allowed by bipartite for the networklevel or specieslevel functions, or if 'modularity' is chosen, it will use computemodules to calculate modularity |

`type_chosen` |
The type of metric desired. Can either be 'network' for a networklevel metric, 'species' for a specieslevel metric, or 'modularity' for modularity |

`level` |
The network level desired to be analysed. |

`collapse_cols` |
Should the columns be collapsed by species? I.e. is this a species-based or individual-based analysis |

Produces a dataframe showing the changes in a given metric when varying the number of nodes in your matrix

1 | ```
pending
``` |

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