diag.plot {twang} | R Documentation |
Creates diagnostic plots of propensity scores including, a side-by-side boxplot of propensity scores, a histogram of propensity score weights, QQ plots of KS and t-statistic p-values, and a plot of absolute effect sizes
diag.plot(title=NULL, treat=NULL, p.s=NULL, w.ctrl=NULL, desc.unw=NULL, desc.w=NULL, plots="all") ## S3 method for class 'ps': plot(x, label = "", ask=FALSE, plots="all", ...) ## S3 method for class 'dxwts': plot(x, label = "", ask=FALSE, plots="all", ...)
title |
a title for the plots |
treat |
a vector of 0/1 treatment indicators |
p.s |
a vector of propensity scores (optional) |
w.ctrl |
weights for the control subjects |
desc.unw |
a list object containing the balance assessment without
weights, usually the result of a call to
desc.wts or the desc component
of a ps object |
desc.w |
a list object containing the weighted balance assessment |
plots |
a character vector listing the plots to be created. The options are all (the default), optimize, ps boxplot, weight histogram, t pvalues, ks pvalues, es. Any other options (such as "none") will produce no plots |
x |
a ps object, usually one returned from ps |
label |
a character string for titling the plots |
ask |
logical. If TRUE then the graphics window waits for a
response from the user before showing the next graph |
... |
other arguments passed to the plot function |
plot.ps
and plot.dxwts
are wrappers for diag.plot
The plots include
No returned objects