spaghetti_all <- function(Qhat, sourceInd, true_Q, design = 1){
if (design == 1){
colPal <- c("grey70", "#99d594")
} else if (design == 2){
colPal <- c("grey70", "#3288bd")
} else {
colPal <- c("grey70", "#3288bd", "#99d594")
}
n <- nrow(Qhat)
Qsource <- {}
for (i in 1:ncol(Qhat)){
Qsource <- bind_rows(Qsource,
data.frame(Q = Qhat[,i,],
cell = i,
time = seq(1, n, 1)))
}
nSim <- dim(Qhat)[3]
Qsource$mean <- rowMeans(Qsource[,1:nSim], na.rm=T)
Qsource$true <- as.numeric(true_Q)
Qlong <- gather(Qsource, id, value, -c(time, cell))
Qlong$col <- 0
Qlong$col[which(Qlong$id == "mean")] <- 1
Qlong$col[which(Qlong$id == "true")] <- 2
Qlong$source <- 0
Qlong$source[which(Qlong$cell == sourceInd[1])] <- 1
Qlong$source[which(Qlong$cell == sourceInd[2])] <- 2
Qlong$source <- factor(Qlong$source)
Qlong$cellid <- str_c(Qlong$cell, Qlong$id)
Qlong %>%
ggplot(aes(x=time, y=value, group = cellid, col = source)) +
geom_line(alpha = 0.2) +
theme_bw() +
geom_line(data=Qlong[which(Qlong$id == "mean"),],
aes(group = cell), size = 1, linetype = 2) +
geom_line(data=Qlong[which(Qlong$id == "true"),],
size = 1)+
scale_color_manual(values = colPal) +
guides(col = "none")+
ylim(c(0,5.5)) +
labs(y="Source Strength", x = "Time")
}
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