dot-rowNorm: Row-normalization procedure on matrix or data.frame 'dat'

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

Row-normalization procedure on matrix or data.frame 'dat'

Description

This function was performs a row-normalization procedure on matrix or data.frame 'dat'

Usage

.rowNorm(
  dat,
  refLi,
  method,
  proportMode,
  maxFact = 10,
  fact0val = 10,
  retFact = FALSE,
  callFrom = NULL,
  debug = FALSE,
  silent = FALSE
)

Arguments

dat	(matrix) .. init data, smay be parse matrix with numerous NA
refLi	(NULL or numeric) allows to consider only specific lines of 'dat' when determining normalization factors (all data will be normalized)
method	(character) may be "mean","median" (plus "NULL","none"); When NULL or 'none' is chosen the input will be returned as is
proportMode	(logical) decide if normalization should be done by multiplicative or additive factor
maxFact	(numeric, length=2) max normalization factor
fact0val	(integer)
retFact	(logical)
callFrom	(character) This function allows easier tracking of messages produced
debug	(logical) additional messages for debugging
silent	(logical) suppress messages

Value

This function returns a matrix of normalized data same dimensions as 'dat'

See Also

rowNormalize

Examples

.rowNorm(matrix(11:31, ncol=3), refLi=1, method="mean", proportMode=TRUE)

wrMisc documentation built on Nov. 17, 2023, 5:09 p.m.