Description Usage Arguments Details Value Author(s) Examples
These functions give the distances to the nearest non-conspecific and furthest conspecific representatives for each individual in the dataset.
1 2 3 |
distobj |
Distance matrix. |
sppVector |
Species vector (see |
propZero |
Logical. TRUE gives the proportion of zero distances. |
rmNA |
Logical. TRUE ignores missing values in the distance matrix. Default of FALSE |
nonConDist
returns the minimum inter-specific distance for each individual.
maxInDist
returns the maximum intra-specific distance for each individual.
These two functions can be used to create a version of the barcoding gap.
minInDist
returns the minimum intra-specific distance for each individual.
If propZero=FALSE
, a numeric vector giving the distance of the closest non-conspecific individual (nonConDist
) or the most distant conspecific individual (maxInDist
).
If propZero=TRUE
, a single number giving the proportion of zero distances.
Samuel Brown <s_d_j_brown@hotmail.com>
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | data(anoteropsis)
anoDist <- dist.dna(anoteropsis)
anoSpp <- sapply(strsplit(dimnames(anoteropsis)[[1]], split="_"),
function(x) paste(x[1], x[2], sep="_"))
nonConDist(anoDist, anoSpp)
nonConDist(anoDist, anoSpp, propZero=TRUE)
maxInDist(anoDist, anoSpp)
maxInDist(anoDist, anoSpp, propZero=TRUE)
#Barcoding gap
inter <- nonConDist(anoDist, anoSpp)
intra <- maxInDist(anoDist, anoSpp)
hist(inter-intra)
#An alternative way of plotting the gap
bnd <- cbind(data.frame(inter, intra))
ord <- bnd[order(bnd$inter),]
plot(ord$inter, type="n", ylab="Percent K2P distance", xlab="Individual")
segCol <- rep("gray50", length(ord$inter))
segCol[ord$inter-ord$intra < 0] <- "red"
segments(x0=1:length(ord$inter), y0=ord$inter, y1=ord$intra, col=segCol, lwd=6)
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