ggplot2.CFA — ggplot2.CFA • ccfa

function for plotting results from counterfactual analysis using ggplot2

ggplot2.CFA(
  cfaseobj,
  setype = "pointwise",
  ylim = NULL,
  xlabel = NULL,
  ylabel = NULL,
  legend = FALSE
)

Arguments

cfaseobj	a CFASE object to plot
setype	whether to plot pointwise, uniform, or both standard errors
ylim	optional y limits on the plot
xlabel	optional x axis labels
ylabel	optional y axis labels
legend	boolean for whether or not to plot a legend (tends to look better with this option set to FALSE)

Value

ggplot2 object

Examples

if (FALSE) {
data(igm)
tvals <- seq(10,12,length.out=8)
yvals <- seq(quantile(igm$lcfincome, .05), quantile(igm$lcfincome, .95), length.out=50)

## obtain counterfactual results
out <- cfa2(lcfincome ~ lfincome, tvals, yvals, igm, method1="qr",
xformla2=~HEDUC, method2="qr", iters=10, tau1=seq(.05,.95,.05),
tau2=seq(.05,.95,.05))

## get the difference between the average that adjusts for covariates and
## the one that does not
ggplot2.CFA(getResDiff.CFA(out$cfa1, out$cfa2, E), setype="uniform")
}