/// GENIND OBJECT /////////
// 413 individuals; 974 loci; 2,870 alleles; size: 5.2 Mb
// Basic content
@tab: 413 x 2870 matrix of allele counts
@loc.n.all: number of alleles per locus (range: 2-3)
@loc.fac: locus factor for the 2870 columns of @tab
@all.names: list of allele names for each locus
@ploidy: ploidy of each individual (range: 1-1)
@type: codom
@call: .local(x = x, i = i, j = j, loc = ..1, drop = drop)
// Optional content
@pop: population of each individual (group size range: 2-21)
@strata: a data frame with 7 columns ( pop, country, Year, LAT, LON, mat, ... )
2. > obj_2i
/// GENIND OBJECT /////////
// 241 individuals; 87 loci; 242 alleles; size: 327.3 Kb
// Basic content
@tab: 241 x 242 matrix of allele counts
@loc.n.all: number of alleles per locus (range: 2-3)
@loc.fac: locus factor for the 242 columns of @tab
@all.names: list of allele names for each locus
@ploidy: ploidy of each individual (range: 1-1)
@type: codom
@call: .local(x = x, i = i, j = j, loc = ..1, drop = drop)
// Optional content
@pop: population of each individual (group size range: 1-16)
@strata: a data frame with 7 columns ( pop, country, Year, LAT, LON, mat, ... )
When I perform analyses of index association I get results for the the second genind object (obj_2i) and strange results for the first.. or well, I get a graph showing the observerved rd, but the is no re-sampled distribution, even with very high permutations. I attached the pictures with the function I used... I don't understand, what does that mean?
Thank you very much in advance for your help!
Chiara