## ----setup, include=FALSE----------------------------------------------------- library(EpiPvr) knitr::opts_chunk$set(echo = TRUE) set.seed(123) # ensure reproducibility for CRAN checks ## ----sec1--------------------------------------------------------------------- # EXAMPLE OF PT VIRUS # EXAMPLE OF PT VIRUS # EXAMPLE OF PT VIRUS # EXAMPLE OF PT VIRUS virusType="PT" # set assay structure nReps=30 # number of reps numWF=20 # number of insects in cohorts ## ----sec2--------------------------------------------------------------------- # virus/insect rates per hr alrate=0.1 # acquisition rate berate=1 # inoculation rate gamrate=0.5 # latency progression rate (NA if SPT virus) murate=0.01 # virus clearance rate ## ----sec3--------------------------------------------------------------------- AAP_lens=c(1,1.5,1.75,2,2.25,2.5,3,4); # variable duration vectors, hours AAP sub-assay LAP_lens=c(0.5,1,2,3,4,5,6,7,8); # LAP sub-assay IAP_lens=c(5,10,15,20,25,30,40,50,60)/60; # IAP sub-assay AAP_Reps=rep(nReps,length(AAP_lens)); # vectors for number of replicates LAP_Reps=rep(nReps,length(LAP_lens)); IAP_Reps=rep(nReps,length(IAP_lens)); AAP_Infs_zeros=rep(0,length(AAP_lens)); # vectors for num infected test plants-initially 0 LAP_Infs_zeros=rep(0,length(LAP_lens)); IAP_Infs_zeros=rep(0,length(IAP_lens)); AAPinput=rbind(AAP_lens, AAP_Reps, AAP_Infs_zeros) # group structural vectors for input LAPinput=rbind(LAP_lens, LAP_Reps, LAP_Infs_zeros) IAPinput=rbind(IAP_lens, IAP_Reps, IAP_Infs_zeros) ## ----sec4--------------------------------------------------------------------- # default durations of acquisition, latent and inoculation periods T_A=2 T_L=0.5 T_I=1 # Place '-1' in the varied assay component AAPfixedComponent=c(-1,T_L,T_I) LAPfixedComponent=c(T_A,-1,T_I) IAPfixedComponent=c(T_A,T_L,-1) ddur_mat=rbind(AAPfixedComponent,LAPfixedComponent,IAPfixedComponent) ## ----sec5--------------------------------------------------------------------- # simulate and hence populate the number of infected test plants in the AAP subassay assay1=AP_assay_simulator(AAPinput, AAPfixedComponent, numWF, c(alrate,berate,gamrate,murate),isVerbose=0,'PT') # simulate and hence populate the number of infected test plants in the LAP subassay assay2=AP_assay_simulator(LAPinput, LAPfixedComponent, numWF, c(alrate,berate,gamrate,murate),isVerbose=0,'PT') # simulate and hence populate the number of infected test plants in the IAP subassay assay3=AP_assay_simulator(IAPinput, IAPfixedComponent, numWF, c(alrate,berate,gamrate,murate),isVerbose=0,'PT') ## ----sec6--------------------------------------------------------------------- ap_data_sim=list(d_AAP=assay1, # AAP sub-assay structure d_LAP=assay2, # LAP sub-assay structure (OMIT IF SPT VIRUS) d_IAP=assay3, # IAP sub-assay structure d_durations=ddur_mat, # fixed durations d_vectorspp=numWF, # insects in a cohort d_virusType=virusType) # virus code - element of {'SPT','PT'} ## ----sec7--------------------------------------------------------------------- # Adding virus parameters as attributes nb. -1 indicates unknown virus parameters attr(ap_data_sim, "alpha") <- alrate # acquisition rate attr(ap_data_sim, "beta") <- berate # inocualation rate if (!is.na(gamrate)) { attr(ap_data_sim, "gamma") <- gamrate # latent progression rate(OMIT IF SPT VIRUS) } attr(ap_data_sim, "mu") <- murate # insect recovery rate rate print(ap_data_sim) ## ----sec9, echo=FALSE--------------------------------------------------------- plot(ap_data_sim$d_AAP[1,],ap_data_sim$d_AAP[3,]/ap_data_sim$d_AAP[2,], xlab = "AAP duration, mins", ylab = "Prop. test plants PT infected",ylim=c(0,1)) if (!is.null(ap_data_sim$d_LAP)) { plot(ap_data_sim$d_LAP[1,],ap_data_sim$d_LAP[3,]/ap_data_sim$d_LAP[2,], xlab = "LAP duration, mins", ylab = "Prop. test plants PT infected",ylim=c(0,1)) } plot(ap_data_sim$d_IAP[1,],ap_data_sim$d_IAP[3,]/ap_data_sim$d_IAP[2,], xlab = "IAP duration, mins", ylab = "Prop. test plants PT infected",ylim=c(0,1)) ## ----sec10-------------------------------------------------------------------- # EXAMPLE OF SPT VIRUS # EXAMPLE OF SPT VIRUS # EXAMPLE OF SPT VIRUS virusType="SPT" nReps=30 # number of reps numWF=20 # number of insects in cohorts # virus rates per hr alrate=0.1 # acquisition rate berate=1 # inoculation rate gamrate=NA # latency progression rate murate=1 # virus clearance rate AAP_lens=c(2,3,3.5,4,4.5,5,6,8); # hours IAP_lens=c(5,10,15,20,25,30,40,50,60)/60; # hours AAP_Reps=rep(nReps,length(AAP_lens)); IAP_Reps=rep(nReps,length(IAP_lens)); AAP_Infs_zeros=rep(0,length(AAP_lens)); IAP_Infs_zeros=rep(0,length(IAP_lens)); AAPinput=rbind(AAP_lens, AAP_Reps, AAP_Infs_zeros) IAPinput=rbind(IAP_lens, IAP_Reps, IAP_Infs_zeros) # default durations of acquisition and inoculation periods T_A=4 T_I=6 # Place '-1' in active assay component AAPfixedComponent=c(-1,0,T_I) # 0 hours for LAP fixed duration since SPT virus IAPfixedComponent=c(T_A,0,-1) assay1=AP_assay_simulator(AAPinput, AAPfixedComponent, numWF, c(alrate,berate,gamrate,murate),isVerbose=0,virusType) assay3=AP_assay_simulator(IAPinput, IAPfixedComponent, numWF, c(alrate,berate,gamrate,murate),isVerbose=0,virusType) # dataset format for SPT does not include LAP ddur_mat=rbind(AAPfixedComponent[c(1,3)],IAPfixedComponent[c(1,3)]) ap_data_sim=list(d_AAP=assay1, d_IAP=assay3, d_durations=ddur_mat, d_vectorspp=numWF, d_virusType=virusType) ## ----sec11-------------------------------------------------------------------- # Adding virus parameters as attributes nb. -1 indicates unknown virus parameters # note that dataset format does not include gamma atttibute for SPT virus attr(ap_data_sim, "alpha") <- alrate attr(ap_data_sim, "beta") <- berate attr(ap_data_sim, "mu") <- murate print(ap_data_sim) ## ----sec13, echo=FALSE-------------------------------------------------------- plot(ap_data_sim$d_AAP[1,],ap_data_sim$d_AAP[3,]/ap_data_sim$d_AAP[2,], xlab = "AAP duration, mins", ylab = "Prop. test plants PT infected",ylim=c(0,1)) if (!is.null(ap_data_sim$d_LAP)) { plot(ap_data_sim$d_LAP[1,],ap_data_sim$d_LAP[3,]/ap_data_sim$d_LAP[2,], xlab = "LAP duration, mins", ylab = "Prop. test plants PT infected",ylim=c(0,1)) } plot(ap_data_sim$d_IAP[1,],ap_data_sim$d_IAP[3,]/ap_data_sim$d_IAP[2,], xlab = "IAP duration, mins", ylab = "Prop. test plants PT infected",ylim=c(0,1))