collapseBins: Collapse consecutive bins

In ataudt/methimpute: Imputation-guided re-construction of complete methylomes from WGBS data

Description

The function will collapse consecutive bins which have, for example, the same combinatorial state.

Usage

collapseBins(data, column2collapseBy = NULL, columns2sumUp = NULL,
  columns2average = NULL, columns2getMax = NULL, columns2drop = NULL)

Arguments

data	A data.frame containing the genomic coordinates in the first three columns.
column2collapseBy	The number of the column which will be used to collapse all other inputs. If a set of consecutive bins has the same value in this column, they will be aggregated into one bin with adjusted genomic coordinates.
columns2sumUp	Column numbers that will be summed during the aggregation process.
columns2average	Column numbers that will be averaged during the aggregation process.
columns2getMax	Column numbers where the maximum will be chosen during the aggregation process.
columns2drop	Column numbers that will be dropped after the aggregation process.

Details

The following tables illustrate the principle of the collapsing:

Input data:

seqnames	start	end	column2collapseBy	moreColumns	columns2sumUp
chr1	0	199	2	1 10	1 3
chr1	200	399	2	2 11	0 3
chr1	400	599	2	3 12	1 3
chr1	600	799	1	4 13	0 3
chr1	800	999	1	5 14	1 3

Output data:

seqnames	start	end	column2collapseBy	moreColumns	columns2sumUp
chr1	0	599	2	1 10	2 9
chr1	600	999	1	4 13	1 6

Value

A data.frame.

Author(s)

Aaron Taudt

Examples

## Load example data
## Get an example multiHMM
data(arabidopsis_toydata)
df <- as.data.frame(arabidopsis_toydata)
shortdf <- collapseBins(df, column2collapseBy='context', columns2sumUp='width', columns2average=7:8)

ataudt/methimpute documentation built on May 10, 2019, 2:07 p.m.