PlotPS {aihuman} | R Documentation |
Plot the proportion of principal strata (R)
Description
See Figure 3 for example.
Usage
PlotPS(
res,
y.min = 0,
y.max = 0.75,
col.values = c("blue", "black", "red", "brown"),
label = TRUE,
r.labels = c("safe", " easily \n preventable ",
"\n preventable\n", " risky"),
label.position = c("top", "top", "top", "bottom"),
top.margin = 0.02,
bottom.margin = 0.02,
label.size = 6.5
)
Arguments
res |
A |
y.min |
Minimum value of y-axis. |
y.max |
Maximum value of y-axis. |
col.values |
Color of point for each principal stratum. |
label |
A logical argument whether to specify label of each principal stratum. The default is |
r.labels |
Label of each principal stratum. |
label.position |
The position of labels. |
top.margin |
Top margin of labels. |
bottom.margin |
Bottom margin of labels. |
label.size |
Size of label. |
Value
A ggplot.
Examples
data(synth)
sample_mcmc = AiEvalmcmc(data = synth, n.mcmc = 10)
subgroup_synth = list(1:nrow(synth),which(synth$Sex==0),which(synth$Sex==1),
which(synth$Sex==1&synth$White==0),which(synth$Sex==1&synth$White==1))
sample_apce = CalAPCE(data = synth, mcmc.re = sample_mcmc,
subgroup = subgroup_synth)
sample_ps = CalPS(sample_apce[["P.R.mcmc"]])
PlotPS(sample_ps, col.values = c("blue", "black", "red", "brown", "purple"), label = FALSE)
[Package aihuman version 0.1.0 Index]