normTraj: Normalize Trajectory

In dmattek/tca-package: Time Course Analyzer

Description

Returns original dt with an additional column with normalized quantity. The column to be normalised is given by 'in.meas.col'. The name of additional column is the same as in.meas.col but with ".norm" suffix added. Normalisation is based on part of the trajectory; this is defined by in.rt.min and max, and the column with time in.rt.col.#'

Usage

normTraj(in.dt, in.meas.col, in.rt.col = "RealTime", in.rt.min = 10,
  in.rt.max = 20, in.by.cols = NULL, in.robust = TRUE,
  in.type = "z.score")

Arguments

in.dt	Data table in long format
in.meas.col	String with the column name to normalize
in.rt.col	String with the colum name holding time
in.rt.min	Lower bound for time period used for normalization
in.rt.max	Upper bound for time period used for normalization
in.by.cols	String vector with 'by' columns to calculate normalization per group; if NULL, no grouping is done
in.robust	Whether robust measures should be used (median instead of mean, mad instead of sd); default TRUE
in.type	Type of normalization: z.score or mean (i.e. fold change w.r.t. mean); default 'z-score'

Value

Returns original dt with an additional column with normalized quantity.

dmattek/tca-package documentation built on Dec. 10, 2019, 4:10 p.m.