Plot estimates and diagnostic statistics

dgirt_plot plots estimates from a dgo model. plot_rhats plots split R-hats.

dgirt_plot(x, ...)

# S4 method for dgo_fit
dgirt_plot(x, y_fun = "median", y_min = "q_025",
  y_max = "q_975", pars = "theta_bar")

# S4 method for data.frame
dgirt_plot(x, group_name, time_name, geo_name,
  y_fun = "median", y_min = "q_025", y_max = "q_975")

# S4 method for dgo_fit,missing
plot(x, y, ...)

plot_rhats(x, ...)

# S4 method for dgo_fit
plot_rhats(x, pars = "theta_bar", facet_vars = NULL,
  shape_var = NULL, color_var = NULL, x_var = NULL)

Arguments

x	A dgo_fit-class object.
...	Further arguments to dgirt_plot.
y_fun	Summary function to be plotted as y.
y_min	Summary function giving the ymin argument for a geom_pointrange object.
y_max	Summary function giving the ymax argument for a geom_pointrange object.
pars	Selected parameter.
group_name	A discrete grouping variable that will be passed to the color argument of aes.
time_name	A time variable with numeric values that will be plotted on the x axis.
geo_name	A variable representing local areas that will be used in faceting.
y	Ignored.
facet_vars	Optionally, one or more variables passed to facet_wrap
shape_var, color_var, x_var	Optionally, a variable passed to the shape, color, or x arguments of aes_string, respectively.

Examples

# NOT RUN {
data(toy_dgirtfit)
dgirt_plot(toy_dgirtfit)
dgirt_plot(toy_dgirtfit, y_min = NULL, y_max = NULL)
p <- dgirt_plot(toy_dgirtfit)
p %+% ylab("posterior median")
# }# NOT RUN {
data(toy_dgirtfit)
ps <- poststratify(toy_dgirtfit, annual_state_race_targets, strata_names =
                   c("state", "year"), aggregated_names = "race3")
dgirt_plot(ps, group_name = NULL, time_name = "year", geo_name = "state")
# }# NOT RUN {
data(toy_dgirtfit)
plot(toy_dgirtfit)
# }# NOT RUN {
data(toy_dgirtfit)
plot_rhats(toy_dgirtfit)
plot_rhats(toy_dgirtfit, facet_vars = "race3") +
  scale_x_continuous(breaks = seq.int(2006, 2008))
# }