loveplot | R Documentation |
Function that creates a Love plot for assessing covariate balance after matching.
loveplot(X_mat, t_id, c_id, v_line, legend_position = "topright")
X_mat |
matrix of covariates: a matrix of covariates used to assess balance. |
t_id |
a vector of indexes of the treated units. |
c_id |
a vector of indexes of the matched controls. |
v_line |
a scalar defining the location of the vertical line that denotes a satisfactory balance. |
legend_position |
a string specifying the position of the legend.
The default is |
In the spirit of Love (2004), loveplot
draws a love plot for assessing covariate balance after matching.
Specifically, loveplot
plots the absolute standardized differences in means before and after matching for all the covariates specified in X_mat
.
Jose R. Zubizarreta <zubizarreta@hcp.med.harvard.edu>, Cinar Kilcioglu <ckilcioglu16@gsb.columbia.edu>.
Love, T. (2004), "Graphical Display of Covariate Balance," http://chrp.org/love/JSM2004RoundTableHandout.pdf.
# Load data
data(germancities)
# Sort and attach data
germancities = germancities[order(germancities$treat, decreasing = TRUE), ]
attach(germancities)
# Treatment indicator
t_ind = treat
# Indexes of the treated units
t_id = which(t_ind == 1)
# Matrix of covariates
X_mat = cbind(log2pop, popgrowth1939, popgrowth3339, emprate, indrate,
rubble, rubblemiss, flats, flatsmiss, refugees)
# Indices of the matched controls (obtained using bmatch in designmatch)
c_id = c(67, 75, 39, 104, 38, 93, 79, 59, 64, 55, 106, 99, 97, 61, 82, 57, 76, 47, 46, 49)
# Vertical line for satisfactory balance
vline = 0.15
# loveplot
loveplot(X_mat, t_id, c_id, vline)
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