sens_plot: Plot the Simulated Estimates for Sensitivity Analyses

In rddapp: Regression Discontinuity Design Application

Plot the Simulated Estimates for Sensitivity Analyses

Description

sens_plot plots the sensitivity analysis for cutpoints or bandwidths.

Usage

sens_plot(
  sim_results,
  level = 0.95,
  x = c("A1", "A2", "bw"),
  plot_models = unique(sim_results$model),
  yrange = NULL
)

Arguments

sim_results	A data.frame returned by rd_sens_cutoff, rd_sens_bw, mrd_sens_cutoff, or mrd_sens_bw.
level	A numeric value between 0 and 1 specifying the confidence level for CIs (assuming a normal sampling distribution). The default is 0.95.
x	A string of the column name of the varying parameter in sim_results. This will be used as the x-axis in the plot. Possible values are c("A1", "A2", "bw"), which are column names in sim_results. A1 specifies that the varying cutoffs are for assignment 1 and A2 specifies assignment 2. bw indicates that the varying parameter is bandwidth.
plot_models	A character vector specifying the models to be plotted (i.e. models estimated with different approaches). Possible values are unique(sim_results$model)).
yrange	An optional numeric vector specifying the range of the y-axis.

Examples

set.seed(12345)
x <- runif(1000, -1, 1)
cov <- rnorm(1000)
y <- 3 + 2 * x + 3 * cov + 10 * (x >= 0) + rnorm(1000)
m <- rd_est(y ~ x | cov, t.design = "geq")
sim_cutoff <- rd_sens_cutoff(m, seq(-.5, .5, length.out = 10))
sens_plot(sim_cutoff, x = "A1", plot_models = c("linear", "optimal"))
sim_bw <- rd_sens_bw(m, seq(.1, 1, length.out = 10))
sens_plot(sim_bw, x = "bw")

rddapp documentation built on April 6, 2023, 1:15 a.m.