shrinkVector: shrink a vector by partitioning it into bins and taking the...

In HilbertVis: Hilbert curve visualization

Description

Given a (potentially very long) vector, the vector is partitioned into a given number of (up to rounding errors) equally long bins, and a vector summerizing each of the bins with one number it returned.

Usage

shrinkVector(vec, newLength,  mode = c("max", "min", "absmax", "mean"))

Arguments

vec	The vector to be shrunk. May be an ordinary numeric or integer vector or an IRanges::Rle vector.
newLength	The desired size of the return vector, i.e., the number of partitions
mode	the summerization mode: 'max': take the maximal value of each bin; 'min': take the minimal value of each bin; 'absmax': take the value with largest absolute value; 'mean': take the mean of the bin values.

Value

A vector of length newLength with the summary values of each of the bin of vector.

Author(s)

Simon Anders, EMBL-EBI (sanders\@fs.tum.de)

See Also

plotLongVector, Rsamtools::pileup, HilbertVisGui::simpleLinPlot

Examples

   shrinkVector( 100000 + 1:1000, 17 )

HilbertVis documentation built on Nov. 8, 2020, 6:50 p.m.