full_standardize: Standardize the cleaved and uncleaved as well as create the...

In dereksonderegger/PepSeq: Tools for analyzing Peptide Sequencing results

Description

There are several cases where we want to both standardize the cleaved/uncleaved as well as calculate the signal terms

Usage

full_standardize(df, type = "additive", scale = TRUE,
  trim_proportion = 0.25)

Arguments

df	A data frame with columns cleaved and uncleaved. If the data frame is already grouped, then all the standardization occurs within a group.
type	Either 'addititive', 'multiplicative', or 'complex'.
scale	Should we scale the signal to have the maximum between 100 and 1000?
trim_proportion	In the rescaling, what percent of the large values should be removed to get to a background rate.

Value

A data frame with columns new columns cleaved_Z, uncleaved_Z, and signal. The rows correspond to the rows in the input data.frame.

dereksonderegger/PepSeq documentation built on July 24, 2019, 12:57 a.m.