imbspace.plot: Plot of imbalance space diagnostic tool for CEM

In cem: Coarsened Exact Matching

Plot of imbalance space diagnostic tool for CEM

Description

Plot of imbalance space diagnostic tool for CEM

Usage

imbspace.plot(obj, group="1", data, explore=TRUE, verbose=1)

Arguments

obj	an object of class imbalance.space
group	character string denoting group id. Defaults to "1".
data	data for running additional matching solutions.
explore	if TRUE the user can interact and find new solutions.
verbose	integer, controls output.

Details

For an interactive device a two panels plot is given. On the left panel the user can select a CEM solution and the number of cutpoints used in that matching solution is plotted as a parallel plot on the right plot. On exit (right-click on the left panel), the function returns all the cem solutions highlighted in the last selection of the user.

For non-interactive devices, only the space of the solutions are plotted.

This plot shows the tradeoff in matching as a function of imbalance and sample size.

The imbalance of the raw data is represented as a red plot and the initial CEM solution as a green plot. All solutions below the green dot and left to it are better than the user choice in terms of imbalance and number of units matched.

Value

tab	an invisible object containing the selection of cem solutions and their coarsenings.

Author(s)

Stefano Iacus, Gary King, and Giuseppe Porro

References

Iacus, King, Porro (2011) doi: 10.1198/jasa.2011.tm09599

Iacus, King, Porro (2012) doi: 10.1093/pan/mpr013

Iacus, King, Porro (2019) doi: 10.1017/pan.2018.29

See Also

imbspace

Examples

require(cem)

data(LL)
set.seed(123)
mat <- cem("treated", LL, drop=c("re78","treated"), 
 cut=list(age=4, edu=4, re74=3, re75=3), keep.all=TRUE)
mat

imb.raw <- L1.profile(LL$treated, LL[, mat$vars], M=250, plot=FALSE)

imbsp <- imbspace(mat, LL,depth=2, raw.profile=imb.raw, 
 maximal=6, minimal=2, fixed=c("hispanic", "black", "married", 
 "nodegree","u74","u75"), plot=FALSE)

tmp <- plot(imbsp,data=LL,explore=interactive())
tmp 

cem documentation built on Sept. 8, 2022, 5:09 p.m.