graphscan-class: Class '"graphscan"'
In graphscan: Cluster Detection with Hypothesis Free Scan Statistic

Description Objects from the Class Slots Methods Author(s) References See Also Examples

Class of graphscan objects used to store data, parameters and results of cluster analysis with the method of Cucala.

Objects can be created by calls of the form "graphscan_1d(data, ...)"
or "graphscan_nd(data, ...)".

data:: Object of class "list", containing the data as events series.
param:: Object of class "list", containing the parameters used in the analysis.
cluster:: Object of class "list", containing the results.

cluster: signature(gr = "graphscan"): performed the cluster analysis.
barplot: signature(x = "graphscan"): draw an barplot of the length of clusters
in multiple events series analysis.
graphscan_plot: signature(x = "graphscan"): plot clusters localisations or
the 1D events distributions.
print: signature(x = "graphscan"): print informations about a graphscan object.
show: signature(object = "graphscan"): print informations about a graphscan object.
summary: signature(object = "graphscan"): summary for graphscan objects.

Robin Loche, Benoit Giron, David Abrial, Lionel Cucala, Myriam Charras-Garrido, Jocelyn De-Goer Maintainer: David Abrial <graphscan@clermont.inra.fr>

Kulldorff, M. 1997. A spatial scan statistic, Commun. Statist. - Theory Meth., 26, 6, p. 1481-1496.

Cucala, L. 2008. A hypothesis-free multiple scan statistic with variable window, Biometrical Journal, 2, p. 299-310.

Cucala, L. 2009. A flexible spatial scan test for case event data, Computational Statistics and Data Analysis, 53, p. 2843-2850.

graphscan_1d, graphscan_nd

## Not run: 
data(events_series)
g4<-graphscan_1d(events_series,normalisation_factor=normalisation_factor)
g4<-cluster(g4)
graphscan_plot(g4)

## End(Not run)