rescale_fixed_width_position: Tripartite linear rescaling

In CshlSiepelLab/tuSelecter2: Deconvolution of Expression for Nascent RNA Sequencing Data

Description

Given a length, a fixed bin width, and head/tail lengths this function generates a sequence [0, 1] that is composed of three linear sub-scales for the head, mid, and tail region. These scales are created such that positions <= linear_head_length are converted to a uniform sequence between [0, head_percent] and values [bin_size * length_out - linear_tail_length, bin_size] are converted to a uniform sequence [tail_percent, 1] with the mid values falling in the remaining range.

Usage

rescale_fixed_width_position(
  bin_size,
  length_out,
  linear_head_length,
  linear_tail_length,
  head_percent = 0.2,
  tail_percent = 0.2,
  short_heuristic = TRUE
)

Arguments

bin_size	width of each position range that is being converted
length_out	length of position vector to be created
linear_head_length	total width of head region (# of bins * width)
linear_tail_length	total width of tail region (# of bins * width)
head_percent	fraction of [0, 1] to be occupied by head region
tail_percent	fraction of [0, 1] to be occupied by tail region
short_heuristic	whether sequences shorter than the sum of the head and tail length should be accommodated by proportionally rescaling the head and tail lengths. Otherwise an error will be thrown.

CshlSiepelLab/tuSelecter2 documentation built on July 18, 2021, 5:09 p.m.