gl.drop.ind | R Documentation |
The script, having deleted individuals, optionally identifies resultant monomorphic loci or loci with all values missing and deletes them (using gl.filter.monomorphs.r). The script also optionally recalculates statistics made redundant by the deletion of individuals from the dataset.
The script returns a genlight object with the individuals deleted and, optionally, the recalculated locus metadata.
#' See more about data manipulation in the [tutorial](http://georges.biomatix.org/storage/app/media/uploaded-files/tutorial4dartrdatamanipulation22-dec-21-3.pdf).
gl.drop.ind(x, ind.list, recalc = FALSE, mono.rm = FALSE, verbose = NULL)
x |
Name of the genlight object containing SNP genotypes [required]. |
ind.list |
A list of individuals to be removed [required]. |
recalc |
Recalculate the locus metadata statistics [default FALSE]. |
mono.rm |
Remove monomorphic loci [default FALSE]. |
verbose |
Verbosity: 0, silent or fatal errors; 1, begin and end; 2, progress log; 3, progress and results summary; 5, full report [default 2 or as specified using gl.set.verbosity]. |
A genlight object with the reduced data
Custodian: Arthur Georges – Post to https://groups.google.com/d/forum/dartr
gl.keep.ind
to keep rather than drop specified
individuals
# SNP data
gl2 <- gl.drop.ind(testset.gl,
ind.list=c('AA019073','AA004859'))
gl2 <- gl.drop.ind(testset.gl,
ind.list=c('AA019073','AA004859'))
# Tag P/A data
gs2 <- gl.drop.ind(testset.gs,
ind.list=c('AA020656','AA19077','AA004859'))
gs2 <- gl.drop.ind(testset.gs, ind.list=c('AA020656'
,'AA19077','AA004859'),mono.rm=TRUE, recalc=TRUE)
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