# Visualize sim study results
# Seth Temple, sdtemple@uw.edu
# Inputs ------------------------------------------------------------------
flavor <- 'vanilla'
beta <- 3.2
gamma <- 1
bg <- c(beta, gamma)
N <- 300
file <- paste(flavor, beta, gamma, N, 'vec', sep = '-')
file <- paste(file, '.rds', sep = '')
vec <- readRDS(file)
file <- paste(flavor, beta, gamma, N, 'mat', sep = '-')
file <- paste(file, '.rds', sep = '')
mat <- readRDS(file)
# Graphing Parameters -----------------------------------------------------
lty <- 1
lwd <- 2
xlab <- expression(R[0])
ylim <- c(0,5)
val <- beta / gamma; xlim <- c(val - val / 3, val + val / 3)
main <- NA
# colors
acol <- rcartocolor::carto_pal(6, "Magenta")
acol <- c(acol[6], acol[1], acol[2], acol[3], acol[4], acol[5])
# legend
x <- 'topright'
title <- '% obs.'
# Graphing ----------------------------------------------------------------
z <- mat[,1,1] / mat[,2,1]
plot(density(z),
col = acol[1],
lwd = lwd,
lty = lty,
ylim = ylim,
xlim = xlim,
xlab = xlab,
main = main)
for(i in 2:6){
z <- mat[,1,i] / mat[,2,i]
lines(density(z),
col = acol[i],
lwd = 2,
lty = 1)
}
legend(x,
c('100','80','60','40','20','0'),
lwd = rep(2,6),
lty = rep(1,6),
col = acol[c(1,6:3,2)],
title = title)
abline(v = beta / gamma,
col = 'black',
lwd = lwd,
lty = lty)
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