args <- commandArgs(TRUE)
simulation <- args[[1]]
renv::activate()
out <- get(load(here::here("output", paste0(simulation, ".RData"))))
source(here::here("code", "all_plot_fn.R"))
if(simulation != "robustness"){
all_bias <- format_out(out, "get_bias")
all_mse <- format_out(out, "get_mse")
all_sd <- format_out(out, "get_sd")
all_cover <- format_out(out, "get_cover")
all_cover_orc <- format_out(out, "check_oracle_ci")
all_density_orc <- format_out(out, "get_density_orc")
all_density_est <- format_out(out, "get_density_est")
}else{
all_bias <- format_out_mr(out, "get_bias")
all_mse <- format_out_mr(out, "get_mse")
all_sd <- format_out_mr(out, "get_sd")
all_cover <- format_out_mr(out, "get_cover")
all_cover_orc <- format_out_mr(out, "check_oracle_ci")
all_density_orc <- format_out_mr(out, "get_density_orc")
all_density_est <- format_out_mr(out, "get_density_est")
}
if(simulation == "robustness"){
# plot results for point estimates
pdf(here::here("figs", paste0("estimation_", simulation, ".pdf")),
height = 7, width = 7)
layout(matrix(c(1, 1, 1, 2:13), nrow =5, byrow = TRUE),
heights = c(0.25, 1, 1, 1, 1))
par(oma = c(0, 2.1, 0, 0), mar = c(2.9, 2.9, 0.1, 0.1), mgp = c(1.8, 0.5, 0))
plot(NULL ,xaxt='n',yaxt='n',bty='n',ylab='',xlab='', xlim=0:1, ylim=0:1)
legend(x = 0.37, y = 0.5, ncol = 2, pch = c(2, 1), title = "Estimator",
legend = c("One-step", "TMLE"), xpd = NA)
at_loc <- seq(0, 1, length = 6)[-c(1,6)] + c(0.052, 0.0125, -0.022, -0.055)[4:1]
plot_one_est_row(which_eff = "direct", all_bias = all_bias, all_mse = all_mse, all_sd = all_sd,
bias_ylim = c(-0.02, 0.02))
mtext(side = 2, outer = TRUE, line = 0, expression(psi[A]), at = at_loc[4])
plot_one_est_row(which_eff = "indirectM1", all_bias = all_bias, all_mse = all_mse, all_sd = all_sd,
bias_ylim = c(-0.02, 0.02))
mtext(side = 2, outer = TRUE, line = 0, expression(psi[M[1]]), at = at_loc[3])
plot_one_est_row(which_eff = "indirectM2", all_bias = all_bias, all_mse = all_mse, all_sd = all_sd,
bias_ylim = c(-0.02, 0.02))
mtext(side = 2, outer = TRUE, line = 0, expression(psi[M[2]]), at = at_loc[2])
plot_one_est_row(which_eff = "covarM1M2", all_bias = all_bias, all_mse = all_mse, all_sd = all_sd,
bias_ylim = c(-0.02, 0.02))
mtext(side = 2, outer = TRUE, line = 0, expression(psi[M[1]*","*M[2]]), at = at_loc[1])
dev.off()
}else{
# plot results for point estimates
pdf(here::here("figs", paste0("estimation_", simulation, ".pdf")),
height = 7, width = 7)
layout(matrix(c(1, 1, 1, 2:13), nrow =5, byrow = TRUE),
heights = c(0.25, 1, 1, 1, 1))
par(oma = c(0, 2.1, 0, 0), mar = c(2.9, 2.9, 0.1, 0.1), mgp = c(1.8, 0.5, 0))
plot(NULL ,xaxt='n',yaxt='n',bty='n',ylab='',xlab='', xlim=0:1, ylim=0:1)
legend(x = 0.37, y = 0.5, ncol = 2, pch = c(2, 1), title = "Estimator",
legend = c("One-step", "TMLE"), xpd = NA)
at_loc <- seq(0, 1, length = 6)[-c(1,6)] + c(0.052, 0.0125, -0.022, -0.055)[4:1]
plot_one_est_row(which_eff = "direct", all_bias = all_bias, all_mse = all_mse, all_sd = all_sd,
bias_ylim = c(-0.02, 0.02))
mtext(side = 2, outer = TRUE, line = 0, expression(psi[A]), at = at_loc[4])
plot_one_est_row(which_eff = "indirectM1", all_bias = all_bias, all_mse = all_mse, all_sd = all_sd,
bias_ylim = c(-0.02, 0.02))
mtext(side = 2, outer = TRUE, line = 0, expression(psi[M[1]]), at = at_loc[3])
plot_one_est_row(which_eff = "indirectM2", all_bias = all_bias, all_mse = all_mse, all_sd = all_sd,
bias_ylim = c(-0.02, 0.02))
mtext(side = 2, outer = TRUE, line = 0, expression(psi[M[2]]), at = at_loc[2])
plot_one_est_row(which_eff = "covarM1M2", all_bias = all_bias, all_mse = all_mse, all_sd = all_sd,
bias_ylim = c(-0.02, 0.02))
mtext(side = 2, outer = TRUE, line = 0, expression(psi[M[1]*","*M[2]]), at = at_loc[1])
dev.off()
pdf(here::here("figs", paste0("inference_tmle_", simulation, ".pdf")),
height = 7, width = 7)
layout(matrix(c(1, 1, 2, 3:14), nrow = 5, byrow = TRUE),
heights = c(0.25, rep(1, 4)))
par(mar = c(1.5, 0, 1.5, 0))
plot(NULL ,xaxt='n',yaxt='n',bty='n',ylab='',xlab='', xlim=0:1, ylim=0:1)
legend("center", ncol = 5, lty = c(rep(2,4), 1), col = c(paste0("gray", c(80, 60, 40, 20)), 1),
legend = c(250, 500, 1000, 2000, expression(infinity)), title = "n", xpd = TRUE)
par(mar = c(1.5, 0, 1.5, 0))
plot(NULL ,xaxt='n',yaxt='n',bty='n',ylab='',xlab='', xlim=0:1, ylim=0:1)
legend("center", ncol = 2, pch = c(19, 1), title = "Standard error",
legend = c("Estimated", "Oracle"), xpd = TRUE)
for(eff in c("direct", "indirectM1", "indirectM2", "covarM1M2")){
par(mar = c(2.9, 2.9, 0.05, 0.05), mgp = c(1.8, 0.5, 0))
plot_one_samp_dist(which_eff = eff,
which_est = "tmle",
all_density_orc = all_density_orc,
all_density_est = all_density_est,
all_cover = all_cover,
all_cover_orc = all_cover_orc)
}
dev.off()
pdf(here::here("figs", paste0("inference_aiptw_", simulation, ".pdf")),
height = 7, width = 7)
layout(matrix(c(1, 1, 2, 3:14), nrow = 5, byrow = TRUE),
heights = c(0.25, rep(1, 4)))
par(mar = c(1.5, 0, 1.5, 0))
plot(NULL ,xaxt='n',yaxt='n',bty='n',ylab='',xlab='', xlim=0:1, ylim=0:1)
legend("center", ncol = 5, lty = c(rep(2,4), 1), col = c(paste0("gray", c(80, 60, 40, 20)), 1),
legend = c(250, 500, 1000, 2000, expression(infinity)), title = "n", xpd = TRUE)
par(mar = c(1.5, 0, 1.5, 0))
plot(NULL ,xaxt='n',yaxt='n',bty='n',ylab='',xlab='', xlim=0:1, ylim=0:1)
legend("center", ncol = 2, pch = c(17, 2), title = "Standard error",
legend = c("Estimated", "Oracle"), xpd = TRUE)
for(eff in c("direct", "indirectM1", "indirectM2", "covarM1M2")){
par(mar = c(2.9, 2.9, 0.05, 0.05), mgp = c(1.8, 0.5, 0))
plot_one_samp_dist(which_eff = eff,
which_est = "aiptw",
all_density_orc = all_density_orc,
all_density_est = all_density_est,
all_cover = all_cover,
all_cover_orc = all_cover_orc)
}
dev.off()
}
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