add.cut: Add New Cut Thresholds

In yannabraham/hilbertSimilarity: Hilbert Similarity Index for High Dimensional Data

Description

Add new manual cuts to the cuts matrix generated using make.cut

Usage

add.cut(cuts, new.cuts, cut.id = "manual", update = FALSE)

Arguments

cuts	a list of cuts generated using make.cut
new.cuts	a list of new cut thresholds to be added to cuts
cut.id	string identifying the new cuts
update	if FALSE (the default) adding a cut.id that already exists in cuts will return an error

Details

The matrix can be cut using either the fixed cuts (type='fixed'), or the combined cuts (type='combined') where the limits have been adjusted to match local minima and maxima.

Value

an updated cuts matrix with an extra set of thresholds named cut.id.

Author(s)

Yann Abraham

Examples

# generate a random 3D matrix with 2 peaks
mat <- rbind(matrix(rnorm(300),ncol=3),
             matrix(rnorm(300,5,1),ncol=3))
dimnames(mat)[[2]] <- LETTERS[1:3]
# estimate the Hilbert order
hilbert.order(mat)
# generate 2 bins with a minimum bin size of 5
cuts <- make.cut(mat,n=3,count.lim=5)
show.cut(cuts)
# Generate the cuts
cut.mat <- do.cut(mat,cuts,type='fixed')
head(cut.mat)

yannabraham/hilbertSimilarity documentation built on Dec. 4, 2019, 3:05 p.m.