# R script for Peak Model
#  -- generated by MACS
p <- c(0.017648501672120752,0.019443264554031336,0.020639773141971726,0.023331917464837603,0.025425807493733285,0.0236310446118227,0.024528426052777993,0.026323188934688577,0.0236310446118227,0.0236310446118227,0.02243453602388231,0.021836281729912116,0.023032790317852506,0.023032790317852506,0.0236310446118227,0.0236310446118227,0.022733663170867408,0.023331917464837603,0.025126680346748188,0.026323188934688577,0.024528426052777993,0.02602406178770348,0.024229298905792895,0.023331917464837603,0.022733663170867408,0.022733663170867408,0.023930171758807798,0.022135408876897213,0.02034064599498663,0.01914413740704624,0.02034064599498663,0.020938900288956824,0.021836281729912116,0.02034064599498663,0.019443264554031336,0.018246755966090947,0.017050247378150557,0.017050247378150557,0.017648501672120752,0.01794762881910585,0.017648501672120752,0.016152865937195265,0.016451993084180362,0.01884501026006114,0.019443264554031336,0.02034064599498663,0.019443264554031336,0.01884501026006114,0.017648501672120752,0.018246755966090947,0.01914413740704624,0.01914413740704624,0.01914413740704624,0.019742391701016434,0.01914413740704624,0.01884501026006114,0.02034064599498663,0.021836281729912116,0.02482755319976309,0.025425807493733285,0.026323188934688577,0.026921443228658772,0.027519697522628967,0.02482755319976309,0.02602406178770348,0.025126680346748188,0.025724934640718383,0.023930171758807798,0.023032790317852506,0.023032790317852506,0.021836281729912116,0.02243453602388231,0.02243453602388231,0.023331917464837603,0.024229298905792895,0.026323188934688577,0.024528426052777993,0.027818824669614065,0.027519697522628967,0.02722057037564387,0.02722057037564387,0.02602406178770348,0.03439962190328621,0.03380136760931601,0.032903986168360724,0.03230573187439053,0.032903986168360724,0.032903986168360724,0.03260485902137562,0.031408350433435234,0.03200660472740543,0.03260485902137562,0.023930171758807798,0.027519697522628967,0.027818824669614065,0.029314460404539555,0.02871620611056936,0.02602406178770348,0.025425807493733285,0.026921443228658772,0.027818824669614065,0.028417078963584263,0.028117951816599162,0.026323188934688577,0.026323188934688577,0.025126680346748188,0.02482755319976309,0.02482755319976309,0.024229298905792895,0.0236310446118227,0.02153715458292702,0.02243453602388231,0.022135408876897213,0.020639773141971726,0.020639773141971726,0.01914413740704624,0.02123802743594192,0.022135408876897213,0.02153715458292702,0.022135408876897213,0.02243453602388231,0.020639773141971726,0.02004151884800153,0.022135408876897213,0.022135408876897213,0.0236310446118227,0.022135408876897213,0.020938900288956824,0.020938900288956824,0.02004151884800153,0.019742391701016434,0.01884501026006114,0.020938900288956824,0.019443264554031336,0.018246755966090947,0.017050247378150557,0.01794762881910585,0.018545883113076044,0.020938900288956824,0.020639773141971726,0.020938900288956824,0.022135408876897213,0.020639773141971726,0.019742391701016434,0.020639773141971726,0.020639773141971726,0.020938900288956824,0.02034064599498663,0.01794762881910585,0.019742391701016434,0.019443264554031336,0.01914413740704624,0.02034064599498663,0.028417078963584263,0.027818824669614065,0.027519697522628967,0.03110922328645014,0.03230573187439053,0.03469874905027131,0.03439962190328621,0.03948478340203287,0.0475612163706305,0.05085161498746657,0.04875772495857089,0.054142013604302645,0.058928047956064204,0.058030666515108915,0.06221844657290028,0.06431233660179596,0.06401320945481086,0.06221844657290028,0.05474026789827284,0.05115074213445167,0.0472620892236454,0.04516819919474972,0.04098041913695836,0.03769002052012228,0.03200660472740543,0.02991271469850975,0.02871620611056936,0.02482755319976309,0.024229298905792895,0.025724934640718383,0.026921443228658772,0.025425807493733285,0.027818824669614065,0.027818824669614065,0.02991271469850975,0.03320311331534582,0.0349978761972564,0.03739089337313718,0.03709176622615209,0.0355961304912266,0.0355961304912266,0.035297003344241504,0.034100494756301114,0.03320311331534582,0.0349978761972564,0.031707477580420335,0.02991271469850975,0.029015333257554458,0.029613587551524653,0.029613587551524653,0.029314460404539555,0.029015333257554458,0.029314460404539555,0.032903986168360724,0.029015333257554458,0.02871620611056936,0.03110922328645014,0.03260485902137562,0.036493511932181893,0.037989147667107384,0.039185656255047774,0.039185656255047774,0.04098041913695836,0.04068129198997326,0.046663834929675206,0.04636470778269011,0.04636470778269011,0.04367256345982423,0.04157867343092855,0.04127954628394345,0.03769002052012228,0.03709176622615209,0.036493511932181893,0.03469874905027131,0.03230573187439053,0.03439962190328621,0.03350224046233092,0.03709176622615209,0.03828827481409248,0.04157867343092855,0.046663834929675206,0.0481594706646007,0.05085161498746657,0.05324463216334735,0.055338522192243035,0.05563764933922813,0.06311582801385557,0.07268789671737869,0.07358527815833397,0.07538004104024457,0.07777305821612535,0.0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m <- 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ycorr <- 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altd  <- c(57, 76, 109, 156, 201, 258, 290, 318, 357, 385, 418, 456, 503, 506, 514, 555)
x <- seq.int((length(p)-1)/2*-1,(length(p)-1)/2)
pdf('predictd_model.R_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) : 57,76,109,156,201,258,290,318,357,385,418,456,503,506,514,555',bty='n')
dev.off()