Visualizes the variance of estimates conditional on a selected discrete and continous choice.
Usage
plot_rdf_estimates_by_choice(
df,
est,
lb,
ub,
dchoice,
color = NULL,
order = NULL,
width = 1
)
Arguments
- df
The data frame as generated by
exhaust_design()
.- est
A character value to indicate the variable in
df
that contains the pont estimate that you want to plot.- lb
A character value indicating the variable in
df
that contains the lower bound of the estimate.- ub
A character value indicating the variable in
df
that contains the upper bound of the estimate.- dchoice
A character value to indicate the discrete choice that you want to partition your estimates on.
- color
A character value to indicate a choice for the coloring of the point ranges. Can be continous or discrete.
- order
A character value to indicate a choice for ordering the point ranges. If
NULL
(the default), the point ranges will be ordered by estimate magnitude.- width
The
width
parameter forposition_dodge2
to spread out the point ranges within the discrete choice area.
Examples
if (FALSE) {
print("Sorry. No examples yet.")
}