Description Usage Arguments Value Examples
function for plotting results from counterfactual analysis using ggplot2
1 2 |
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) |
ggplot2 object
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ## Not run:
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")
## End(Not run)
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