Description Usage Arguments Details Value Author(s) References See Also Examples
clonal_sub computes the clonal subrange analysis with spatial distance
intervals and the corresponding probabilities of clonal identity.
1 2  | 
data1 | 
 a   | 
coords | 
 a table with coordinates of every units in   | 
vecpop | 
 vector, option,   | 
listMLL | 
 option, a custom list of MLL.  | 
class1 | 
 option, if   | 
class2 | 
 option, if   | 
d | 
 numeric, number of distance classes.  | 
vecdist | 
 option, a custom vector distance intervals to construct distance classes.  | 
By default, d = 10 and clonal_sub computes 10 equidistant 
distance classes for all the ramets pairs.
The function proposes 3 others options:
class1 fixing d equidistant classes,
class2 fixing d distance classes with the same 
number of units pairs,
vecdist != NULL allowing the user to give a vector, 
vecdist of intervals. vecdist must start with 0 and
end with max(dist).
A list of:
clonal_sub_res | 
 clonal subrange, i.e. maximum distance between two units sharing the same MLG/MLL (Alberto et al., 2005)  | 
clonal_sub_tab | 
 table of results with, per class, the number of units pairs, 
the min, max and mean distances between pairs and   | 
For multi-population data1, a list of lists per population.
Creator/Author: Diane Bailleul <diane.bailleul.pro@gmail.com> 
Author: Sophie Arnaud-Haond <sophie.arnaud@ifremer.fr> 
Contributor: Solenn Stoeckel
The R implementation of RClone was written by Diane Bailleul.
The design was inspired by GenClone program described in Arnaud-Haond & Belkhir (2007).
Alberto et al., 2005, Spatial genetic structure, neighbourhood size and clonal subrange in seagrass (Cymodocea nodosa) populations.
Arnaud-Haond et al., 2007, Standardizing methods to address clonality in population studies.
autocorrelation, agg_index and edge_effect
1 2 3 4 5 6 7  | data(posidonia)
data(coord_posidonia)
distGC <- c(0,10,15,20,30,50,70,76.0411073)
clonal_sub(posidonia, coords = coord_posidonia)
clonal_sub(posidonia, coords = coord_posidonia, vecdist = distGC)
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