FinScan: Finalization of the scan procedures
In HDSpatialScan: Multivariate and Functional Spatial Scan Statistics

View source: R/finalizing_scan_procedure.R

FinScan

R Documentation

Finalization of the scan procedures

Description

This function finalizes the scan procedures.

Usage

FinScan(
  index_clusters_temp,
  index,
  filtering_post,
  type_minimaxi_post,
  mini_post,
  maxi_post,
  nb_sites,
  matrix_clusters,
  radius,
  areas,
  centres,
  pvals,
  maximize = TRUE
)

Arguments

`index_clusters_temp`	numeric vector. Indices of the significant clusters.
`index`	numeric vector. Index of concentration for each potential cluster.
`filtering_post`	logical. Is there an a posteriori filtering?
`type_minimaxi_post`	character. Type of minimum and maximum a posteriori: by default "sites/indiv": the mini_post and maxi_post are on the number of sites or individuals in the significant clusters. Other possible values are "area": the minimum and maximum area of the clusters, or "radius": the minimum and maximum radius.
`mini_post`	numeric. A minimum to filter the significant clusters a posteriori (see type_minimaxi_post). The default NULL is for no filtering with a a posteriori minimum.
`maxi_post`	numeric. A maximum to filter the significant clusters a posteriori (see type_minimaxi_post). The default NULL is for no filtering with a a posteriori maximum.
`nb_sites`	numeric. The number of considered sites or individuals.
`matrix_clusters`	matrix. The matrix of potential clusters taking the value 1 at lign i and column j if the cluster j contains the site i, 0 otherwise.
`radius`	numeric vector. The radius of the potential clusters.
`areas`	numeric vector. The areas of the potential clusters.
`centres`	numeric matrix. The coordinates of the centres of each potential cluster.
`pvals`	numeric vector. The pvalue of each potential cluster.
`maximize`	logical. Should the index be maximized? By default TRUE. If FALSE it will be minimized.