regrMultBy1or2point: Rescaling of multiple data-sets according to reference data...

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

Rescaling of multiple data-sets according to reference data using regression

Description

regrMultBy1or2point regresses each col of matrix according to 'refLst'(describing rownames of inDat). If 'refLst' conatins 2 groups, the 1st group will be set to the 1st value of 'regrTo' (and the 2nd group of 'refLst' to the 2nd 'regtTo')

Usage

regrMultBy1or2point(
  inDat,
  refLst,
  regrTo = c(1, 0.5),
  silent = FALSE,
  callFrom = NULL
)

Arguments

inDat	matrix or data.frame
refLst	list of names existing in inDat (one group of names for each value in 'regrTo'), to be transformed in values precised in 'regTo'; if no matches to names of 'inDat' found, the 2 lowest and/or highest highest values will be chosen
regrTo	(numeric,length=2) range (at scale 0-1) of target-values for mean of elements cited in 'refLst'
silent	(logical) suppress messages
callFrom	(character) allow easier tracking of message(s) produced

Value

normalized matrix

See Also

adjBy2ptReg, regrBy1or2point

Examples

set.seed(2016); dat2 <- round(cbind(1:50 +(1:50)*runif(50),2.2*(1:50) +rnorm(50,0,3)),1)
rownames(dat2) <- 1:nrow(dat2)
reg1 <- regrBy1or2point(dat2[,1],refLst=list(as.character(5:7),as.character(44:45)))
reg2 <- regrMultBy1or2point(dat2,refLst=list(as.character(5:7),as.character(44:45)))
plot(dat2[,1],reg2[,1])
identical(reg1,reg2[,1])
identical(dat2[,1],reg2[,1])

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