Everything has been working well so far (thanks for the documentation!), however, I'm getting an error when I run assign.matrix with for specific proportions of loci/individuals. The error states: Error in if (!train.inds == "all") { : the condition has length > 1.
The code below works well:
assign.matrix( dir="assignPOP/MSI_vs_North/known_assignPOP_Result/")
However, the following code produces the error:
assign.matrix( dir="assignPOP/MSI_vs_North/known_assignPOP_Result/", train.inds=c(0.7, 0.9), train.loci=c(0.5, 1))
This was the code I used to generate the results:
assign.MC(known_2_assnPOP_data_95, train.inds=c(0.5, 0.7, 0.9), train.loci=c(0.1, 0.25, 0.5, 1), loci.sample="fst", iterations=100, model="svm", dir="assignPOP/MSI_vs_North/known_assignPOP_Result/")
Hi and thanks for the great software,
Everything has been working well so far (thanks for the documentation!), however, I'm getting an error when I run
assign.matrixwith for specific proportions of loci/individuals. The error states:Error in if (!train.inds == "all") { : the condition has length > 1.The code below works well:
assign.matrix( dir="assignPOP/MSI_vs_North/known_assignPOP_Result/")However, the following code produces the error:
assign.matrix( dir="assignPOP/MSI_vs_North/known_assignPOP_Result/", train.inds=c(0.7, 0.9), train.loci=c(0.5, 1))This was the code I used to generate the results:
assign.MC(known_2_assnPOP_data_95, train.inds=c(0.5, 0.7, 0.9), train.loci=c(0.1, 0.25, 0.5, 1), loci.sample="fst", iterations=100, model="svm", dir="assignPOP/MSI_vs_North/known_assignPOP_Result/")I'd appreciate any help you can offer! Quinn