# R script for Peak Model
#  -- generated by MACS
p <- c(0.033059718825,0.0380814482668,0.0439401326155,0.0512634880514,0.0560759787665,0.0558667400397,0.0567036949467,0.0552390238595,0.0541928302258,0.0537743527723,0.0529373978653,0.0527281591386,0.0525189204119,0.0497988169642,0.0506357718712,0.0495895782375,0.0489618620573,0.0506357718712,0.0529373978653,0.0516819655049,0.0529373978653,0.0525189204119,0.0502172944177,0.0489618620573,0.0483341458771,0.0483341458771,0.050008055691,0.0489618620573,0.0470787135166,0.0493803395108,0.0487526233305,0.0495895782375,0.0514727267782,0.0546113076793,0.0537743527723,0.054820546406,0.0516819655049,0.0510542493247,0.0512634880514,0.0493803395108,0.0497988169642,0.0477064296968,0.0489618620573,0.0487526233305,0.0502172944177,0.0521004429584,0.0535651140456,0.054820546406,0.053983591499,0.0544020689525,0.0535651140456,0.0554482625862,0.053983591499,0.0535651140456,0.0525189204119,0.0502172944177,0.0508450105979,0.0514727267782,0.0531466365921,0.053983591499,0.0533558753188,0.0541928302258,0.0518912042316,0.0516819655049,0.0508450105979,0.0527281591386,0.0523096816851,0.0502172944177,0.050008055691,0.0474971909701,0.0464509973364,0.0458232811562,0.049171100784,0.0487526233305,0.050008055691,0.0502172944177,0.0504265331445,0.0516819655049,0.0523096816851,0.0537743527723,0.0560759787665,0.0558667400397,0.0531466365921,0.0527281591386,0.0527281591386,0.0518912042316,0.050008055691,0.0489618620573,0.0466602360631,0.0464509973364,0.0464509973364,0.0460325198829,0.0483341458771,0.0495895782375,0.050008055691,0.0485433846038,0.0512634880514,0.0514727267782,0.0518912042316,0.0518912042316,0.0523096816851,0.0533558753188,0.0508450105979,0.049171100784,0.0485433846038,0.0489618620573,0.0487526233305,0.0485433846038,0.0481249071503,0.049171100784,0.0470787135166,0.0485433846038,0.0521004429584,0.0541928302258,0.0544020689525,0.0560759787665,0.0558667400397,0.055657501313,0.0573314111269,0.0587960822141,0.061306946935,0.0592145596676,0.0598422758478,0.0569129336734,0.0573314111269,0.0564944562199,0.0571221724002,0.0575406498536,0.0577498885804,0.0546113076793,0.0531466365921,0.053983591499,0.0533558753188,0.054820546406,0.054820546406,0.0533558753188,0.055657501313,0.054820546406,0.0516819655049,0.0516819655049,0.0525189204119,0.0521004429584,0.0521004429584,0.0508450105979,0.0506357718712,0.0512634880514,0.0487526233305,0.0506357718712,0.0527281591386,0.053983591499,0.0527281591386,0.0527281591386,0.0504265331445,0.0531466365921,0.0518912042316,0.0512634880514,0.049171100784,0.0472879522434,0.0474971909701,0.0460325198829,0.0472879522434,0.0468694747899,0.0485433846038,0.0458232811562,0.0460325198829,0.0483341458771,0.0489618620573,0.0512634880514,0.0525189204119,0.0533558753188,0.053983591499,0.0535651140456,0.0514727267782,0.0525189204119,0.0541928302258,0.0541928302258,0.0537743527723,0.0523096816851,0.0525189204119,0.0523096816851,0.0506357718712,0.0510542493247,0.0527281591386,0.0523096816851,0.0535651140456,0.0541928302258,0.053983591499,0.0523096816851,0.0510542493247,0.0531466365921,0.0529373978653,0.0523096816851,0.0529373978653,0.0541928302258,0.0523096816851,0.0510542493247,0.0533558753188,0.055657501313,0.0552390238595,0.0533558753188,0.0535651140456,0.0537743527723,0.0508450105979,0.0510542493247,0.0512634880514,0.0512634880514,0.0481249071503,0.0495895782375,0.0521004429584,0.0525189204119,0.0516819655049,0.0514727267782,0.0533558753188,0.0531466365921,0.0531466365921,0.0521004429584,0.0525189204119,0.0514727267782,0.0504265331445,0.0512634880514,0.0529373978653,0.0541928302258,0.0558667400397,0.0562852174932,0.0554482625862,0.0554482625862,0.0558667400397,0.0537743527723,0.0529373978653,0.0518912042316,0.0514727267782,0.0508450105979,0.0502172944177,0.0470787135166,0.0464509973364,0.0462417586097,0.0470787135166,0.0489618620573,0.0479156684236,0.0479156684236,0.0474971909701,0.0474971909701,0.0449863262492,0.0481249071503,0.0489618620573,0.0487526233305,0.0483341458771,0.0474971909701,0.0479156684236,0.0481249071503,0.0497988169642,0.050008055691,0.0518912042316,0.0510542493247,0.0523096816851,0.0514727267782,0.053983591499,0.053983591499,0.0550297851328,0.0560759787665,0.0552390238595,0.0560759787665,0.0550297851328,0.054820546406,0.0527281591386,0.0535651140456,0.0510542493247,0.0535651140456,0.0533558753188,0.0508450105979,0.049171100784,0.0477064296968,0.0485433846038,0.0497988169642,0.0514727267782,0.0537743527723,0.0531466365921,0.0512634880514,0.0504265331445,0.0527281591386,0.0537743527723,0.0541928302258,0.054820546406,0.0550297851328,0.0533558753188,0.0521004429584,0.0535651140456,0.0533558753188,0.053983591499,0.0514727267782,0.0521004429584,0.0531466365921,0.0521004429584,0.0529373978653,0.055657501313,0.0554482625862,0.0554482625862,0.0564944562199,0.0562852174932,0.0594237983943,0.0600515145745,0.0585868434873,0.0610977082082,0.059633037121,0.0602607533013,0.0627716180222,0.0642362891093,0.0657009601965,0.0694672572778,0.0694672572778,0.071768883272,0.0738612705394,0.0723965994522,0.0746982254464,0.07511670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m <- 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ycorr <- 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altd  <- c(57, 90, 540, 568)
x <- seq.int((length(p)-1)/2*-1,(length(p)-1)/2)
pdf('test_model.pdf',height=6,width=6)
plot(x,p,type='l',col=c('red'),main='Peak Model',xlab='Distance to the middle',ylab='Percentage')
lines(x,m,col=c('blue'))
legend('topleft',c('forward tags','reverse tags'),lty=c(1,1,1),col=c('red','blue'))
plot(xcorr,ycorr,type='l',col=c('black'),main='Cross-Correlation',xlab='Lag between + and - tags',ylab='Correlation')
abline(v=altd,lty=2,col=c('red'))
legend('topleft','alternative lag(s)',lty=2,col='red')
legend('right','alt lag(s) : 57,90,540,568',bty='n')
dev.off()