# HG changeset patch # User greg # Date 1512412468 18000 # Node ID 691b677d8f83610bd03c20f475e9e6fed32a5310 # Parent 52114847afffdc4e6aa3195cd5e05b41662984d4 Uploaded diff -r 52114847afff -r 691b677d8f83 insect_phenology_model.R --- a/insect_phenology_model.R Mon Dec 04 13:21:20 2017 -0500 +++ b/insect_phenology_model.R Mon Dec 04 13:34:28 2017 -0500 @@ -231,10 +231,10 @@ # Complete matrix for the population. vector.matrix <- base::t(matrix(vector.matrix, nrow=5)) # Time series of population size. - tot.pop <- NULL - gen0.pop <- rep(0, opt$num_days) - gen1.pop <- rep(0, opt$num_days) - gen2.pop <- rep(0, opt$num_days) + total.population <- NULL + overwintering_adult.population <- rep(0, opt$num_days) + first_generation.population <- rep(0, opt$num_days) + second_generation.population <- rep(0, opt$num_days) S0 <- rep(0, opt$num_days) S1 <- rep(0, opt$num_days) S2 <- rep(0, opt$num_days) @@ -480,34 +480,34 @@ num_insects <- num_insects - num_insects.death + num_insects.newborn # Aggregate results by day. - tot.pop <- c(tot.pop, num_insects) + total.population <- c(total.population, num_insects) # All adults population size. num_insects.adult <- sum(vector.matrix[,2] == 3) + sum(vector.matrix[,2] == 4) + sum(vector.matrix[,2] == 5) # Overwintering adult population size. - gen0.pop[row] <- sum(vector.matrix[,1] == 0) + overwintering_adult.population[row] <- sum(vector.matrix[,1] == 0) # First generation population size. - gen1.pop[row] <- sum(vector.matrix[,1] == 1) + first_generation.population[row] <- sum(vector.matrix[,1] == 1) # Second generation population size. - gen2.pop[row] <- sum(vector.matrix[,1] == 2) + second_generation.population[row] <- sum(vector.matrix[,1] == 2) # Egg population size. - S0[row] <- sum(vector.matrix[,2] == 0) + S0[row] <- sum(vector.matrix[,2]==0) # Young nymph population size. - S1[row] <- sum(vector.matrix[,2] == 1) + S1[row] <- sum(vector.matrix[,2]==1) # Old nymph population size. - S2[row] <- sum(vector.matrix[,2] == 2) + S2[row] <- sum(vector.matrix[,2]==2) # Previtellogenic population size. - S3[row] <- sum(vector.matrix[,2] == 3) + S3[row] <- sum(vector.matrix[,2]==3) # Vitellogenic population size. - S4[row] <- sum(vector.matrix[,2] == 4) + S4[row] <- sum(vector.matrix[,2]==4) # Diapausing population size. - S5[row] <- sum(vector.matrix[,2] == 5) + S5[row] <- sum(vector.matrix[,2]==5) - P.adult[row] <- sum(vector.matrix[,1] == 0) - F1.adult[row] <- sum((vector.matrix[,1] == 1 & vector.matrix[,2] == 3) | (vector.matrix[,1] == 1 & vector.matrix[,2] == 4) | (vector.matrix[,1] == 1 & vector.matrix[,2] == 5)) - F2.adult[row] <- sum((vector.matrix[,1]== 2 & vector.matrix[,2] == 3) | (vector.matrix[,1] == 2 & vector.matrix[,2] == 4) | (vector.matrix[,1] == 2 & vector.matrix[,2] == 5)) + P.adult[row] <- sum(vector.matrix[,1]==0) + F1.adult[row] <- sum((vector.matrix[,1]==1 & vector.matrix[,2]==3) | (vector.matrix[,1]==1 & vector.matrix[,2]==4) | (vector.matrix[,1]==1 & vector.matrix[,2]==5)) + F2.adult[row] <- sum((vector.matrix[,1]==2 & vector.matrix[,2]==3) | (vector.matrix[,1]==2 & vector.matrix[,2]==4) | (vector.matrix[,1]==2 & vector.matrix[,2]==5)) N.newborn[row] <- num_insects.newborn N.death[row] <- num_insects.death @@ -526,10 +526,10 @@ newborn.replications[,N.replications] <- N.newborn death.replications[,N.replications] <- N.death adult.replications[,N.replications] <- N.adult - pop.replications[,N.replications] <- tot.pop - P.replications[,N.replications] <- gen0.pop - F1.replications[,N.replications] <- gen1.pop - F2.replications[,N.replications] <- gen2.pop + pop.replications[,N.replications] <- total.population + P.replications[,N.replications] <- overwintering_adult.population + F1.replications[,N.replications] <- first_generation.population + F2.replications[,N.replications] <- second_generation.population P_adults.replications[,N.replications] <- P.adult F1_adults.replications[,N.replications] <- F1.adult F2_adults.replications[,N.replications] <- F2.adult