dot-normConstSlope: Normalize columns of 2dim matrix to common linear regression...

In wrMisc: Analyze Experimental High-Throughput (Omics) Data

Normalize columns of 2dim matrix to common linear regression fit

Description

This function aims to normalize columns of 2dim matrix to common linear regression fit within range of 'useQuant'

Usage

.normConstSlope(
  mat,
  useQuant = c(0.2, 0.8),
  refLines = NULL,
  diagPlot = TRUE,
  plotLog = "",
  datName = NULL,
  silent = FALSE,
  debug = FALSE,
  callFrom = NULL
)

Arguments

mat	matrix or data.frame of data to get normalized
useQuant	(numeric) quantiles to use
refLines	(NULL or numeric) allows to consider only specific lines of 'dat' when determining normalization factors (all data will be normalized)
diagPlot	(logical) draw diagnistic plot
plotLog	(character) indicate which axis shousl be diplayed on log-scale, may be 'x', 'xy' or 'y'
datName	(character) use as title in diag plot
silent	(logical) suppress messages
debug	(logical) additional messages for debugging
callFrom	(character) allows easier tracking of messages produced

Value

This function returns a numeric vector

See Also

normalizeThis

Examples

aa <- matrix(1:12, ncol=3)

wrMisc documentation built on Sept. 11, 2024, 6:10 p.m.