wrMisc (version 2.0.0)

regrMultBy1or2point: Rescaling Of Multiple Data-Sets According To Reference Data Using Regression

Description

This function 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,
  debug = FALSE,
  callFrom = NULL
)

Value

This function returns a normalized matrix

Arguments

inDat

(matrix or data.frame) data to be rescaled

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 if TRUE

debug

(logical) additional messages for debugging

callFrom

(character) allows easier tracking of messages produced

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])