aihuman (version 1.0.0)

PlotDIMdecisions: Plot diff-in-means estimates

Description

See Figure 2 for example.

Usage

PlotDIMdecisions(
  res,
  y.max = 0.2,
  decision.labels = c("signature bond   ", "small cash bond   ", "large cash bond"),
  col.values = c("grey60", "grey30", "grey6"),
  shape.values = c(16, 17, 15)
)

Value

A ggplot.

Arguments

res

A data.frame generated with CalDIMsubgroup.

y.max

Maximum value of y-axis.

decision.labels

Labels of decisions (D).

col.values

Color of point for each decisions.

shape.values

Shape of point for each decisions.

Examples

data(synth)
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)
)
res_dec <- CalDIMsubgroup(synth, subgroup = subgroup_synth)
PlotDIMdecisions(res_dec,
  decision.labels = c("signature", "small cash", "middle cash", "large cash"),
  col.values = c("grey60", "grey30", "grey6", "grey1"),
  shape.values = c(16, 17, 15, 18)
)