# # load results from the original Daphnia magna model # tfs_result <- data.frame() for(part in c("damage","length","repro","surv")) { state <- toupper(substring(part, 1, 1)) fn <- test_path(paste0("../data/DEBtox_Daphnia/test_",part,".txt")) df <- read.table(fn, stringsAsFactors = FALSE) names(df) <- c("time","set1_control","set1_control2",paste0("set1_VAR1_",1:3), "set2_control","set2_control2",paste0("set2_VAR2_",1:3), "set3_control","set3_control2",paste0("set3_CST_",1:5)) df$var <- state df %>% tidyr::pivot_longer(!c(time,var), names_to="scenario") %>% dplyr::mutate(set=substring(scenario,1,4), run=substring(scenario,6)) %>% dplyr::select(time,var,set,run,value) %>% dplyr::filter(run != "control2") %>% dplyr::bind_rows(tfs_result) -> tfs_result } rm(part,fn,state,df) tfs_result %>% tidyr::pivot_wider(names_from=var, values_from=value) %>% dplyr::arrange(set,run,time) %>% dplyr::select(time,set,run,D,L,R,S) -> tfs_result # # load original exposure series # tfs_exposure <- list() exp <- read.table(test_path("../data/DEBtox_Daphnia/Data_exposure_profile_Dmagna_TFS_Cst.txt"), stringsAsFactors=FALSE, header=FALSE) names(exp) <- c("time","control", paste0("exp.",seq(length(exp)-2))) # fix constant exposure series if(nrow(exp)==2) { exp[2,-1] <- exp[1,-1] } tfs_exposure$cst <- exp # variable exposure series No. 1 exp <- read.table(test_path("../data/DEBtox_Daphnia/Data_exposure_profile_Dmagna_TFS_Var1.txt"), stringsAsFactors=FALSE, header=FALSE) names(exp) <- c("time","control", paste0("exp.",seq(length(exp)-2))) tfs_exposure$var1 <- exp # variable exposure series No. 2 exp <- read.table(test_path("../data/DEBtox_Daphnia/Data_exposure_profile_Dmagna_TFS_Var2.txt"), stringsAsFactors=FALSE, header=FALSE) names(exp) <- c("time","control", paste0("exp.",seq(length(exp)-2))) tfs_exposure$var2 <- exp rm(exp) # # model parameters # tfs_param <- list( L0 = 0.9676, Lp = 2.42, Lm = 4.614, rB = 0.1106, Rm = 16.69, f = 1, hb = 0.001608, a = 1, # disable new parameter Lf = 0, Lj = 0, Tlag = 0, kd = 2.060, zb = 5.201, bb = 0.04422, zs = 11.75, bs = 0.1759, FBV = 0.02, KRV = 1, kap = 0.8, yP = 0.8*0.8, Lm_ref = 4, len = 2, Tbp = 3, MoA = 1, FB = 0 ) # # initial state # tfs_init <- c(D=0, L=tfs_param$L0, R=0, S=1)