gl.filter.ld | R Documentation |
This function uses the statistic set in the parameter stat_keep
from
function gl.report.ld.map
to choose the SNP to keep when two
SNPs are in LD. When a SNP is selected to be filtered out in each pairwise
comparison, the function stores its name in a list. In subsequent pairwise
comparisons, if the SNP is already in the list, the other SNP will be kept.
gl.filter.ld(
x,
ld_report,
threshold = 0.2,
pop.limit = ceiling(nPop(x)/2),
verbose = NULL
)
x |
Name of the genlight object containing the SNP data [required]. |
ld_report |
Output from function |
threshold |
Threshold value above which loci will be removed [default 0.2]. |
pop.limit |
Minimum number of populations in which LD should be more than the threshold for a locus to be filtered out. The default value is half of the populations [default ceiling(nPop(x)/2)]. |
verbose |
Verbosity: 0, silent or fatal errors; 1, begin and end; 2, progress log; 3, progress and results summary; 5, full report [default 2, unless specified using gl.set.verbosity]. |
The reduced genlight object.
Custodian: Luis Mijangos – Post to https://groups.google.com/d/forum/dartr
gl.report.ld.map
Other filter functions:
gl.filter.allna()
,
gl.filter.callrate()
,
gl.filter.heterozygosity()
,
gl.filter.hwe()
,
gl.filter.locmetric()
,
gl.filter.maf()
,
gl.filter.monomorphs()
,
gl.filter.overshoot()
,
gl.filter.pa()
,
gl.filter.parent.offspring()
,
gl.filter.rdepth()
,
gl.filter.reproducibility()
,
gl.filter.secondaries()
,
gl.filter.sexlinked()
,
gl.filter.taglength()
## Not run:
test <- bandicoot.gl
test <- gl.filter.callrate(test,threshold = 1)
res <- gl.report.ld.map(test)
res_2 <- gl.filter.ld(x=test,ld_report = res)
res_3 <- gl.report.ld.map(res_2)
## End(Not run)
if ((requireNamespace("snpStats", quietly = TRUE)) & (requireNamespace("fields", quietly = TRUE))) {
test <- gl.filter.callrate(platypus.gl, threshold = 1)
test <- gl.filter.monomorphs(test)
test <- test[,1:20]
report <- gl.report.ld.map(test)
res <- gl.filter.ld(x=test,ld_report = report)
}
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