# QtoJackson: Q to Jackson: transform a Q-residual into a confidence... In MEET: MEET: Motif Elements Estimation Toolkit

## Description

Given Q-residual, this function uses the parameters calculated in JAcksonParameters to convert a Q-residual into a confidence interval

## Usage

 `1` ```QtoJackson(Q,h0, x1, x2, x3) ```

## Arguments

 `Q` Q-residual `h0` h0 parameter `x1` x1 parameter `x2` x2 parameter `x3` x3 parameter

## Value

output:confidence interval of the given residual.

## Author(s)

Erola Pairo <epairoatibec.pcb.ub.es>

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18``` ```require("MEET") data(TranscriptionFactor) data(iicc) nPCs<-1 TFBS<-iicc\$Transcriptionfactor Prob<-iicc\$background missing<-iicc\$missing NumericalMatrix<-numericalDNA(Prob) suma<-apply(TFBS,2,function(y){sum(y=="-")}) threshold<-floor(nrow(TFBS)*missing/100) TFBS<-TFBS[, suma<=threshold] ncolTFBS<-ncol(TFBS) TFBSnum<-apply(TFBS,1,function(x){as.vector(t(NumericalMatrix[x,]))}) TFBSnum<-t(TFBSnum) model<-pca(TFBSnum, nPcs=2, method="svd", center=TRUE) JacksonPars<-JacksonParameters(nPCs,TFBSnum) Qres<-3.45 confidence<-QtoJackson(Qres,h0=1,x1=1,x2=1,x3=1) ```