View source: R/bal.tab.optmatch.R
bal.tab.optmatch | R Documentation |
optmatch
ObjectsGenerates balance statistics for output objects from optmatch.
## S3 method for class 'optmatch'
bal.tab(
x,
formula = NULL,
data = NULL,
treat = NULL,
covs = NULL,
estimand = NULL,
stats,
int = FALSE,
poly = 1,
distance = NULL,
addl = NULL,
continuous,
binary,
s.d.denom,
thresholds = NULL,
weights = NULL,
cluster = NULL,
imp = NULL,
pairwise = TRUE,
s.weights = NULL,
abs = FALSE,
subset = NULL,
quick = TRUE,
...
)
x |
an |
formula |
a |
data |
a data frame containing variables named in |
treat |
a vector of treatment statuses. See Details. |
covs |
a data frame of covariate values for which to check balance. See Details. |
estimand |
|
stats |
|
int |
|
poly |
|
distance |
an optional formula or data frame containing distance values (e.g., propensity scores) or a character vector containing their names. If a formula or variable names are specified, |
addl |
an optional formula or data frame containing additional covariates for which to present balance or a character vector containing their names. If a formula or variable names are specified, |
continuous |
whether mean differences for continuous variables should be standardized ( |
binary |
whether mean differences for binary variables (i.e., difference in proportion) should be standardized ( |
s.d.denom |
|
thresholds |
a named vector of balance thresholds, where the name corresponds to the statistic (i.e., in |
weights |
a vector, list, or |
cluster |
either a vector containing cluster membership for each unit or a string containing the name of the cluster membership variable in |
imp |
either a vector containing imputation indices for each unit or a string containing the name of the imputation index variable in |
pairwise |
whether balance should be computed for pairs of treatments or for each treatment against all groups combined. See |
s.weights |
Optional; either a vector containing sampling weights for each unit or a string containing the name of the sampling weight variable in |
abs |
|
subset |
a |
quick |
|
... |
for some input types, other arguments that are required or allowed. Otherwise, further arguments to control display of output. See display options for details. |
bal.tab()
generates a list of balance summaries for the object given. The input to bal.tab.optmatch()
must include either both formula
and data
or just covs
(treat
is not necessary).
If clusters and imputations are not specified, an object of class "bal.tab"
containing balance summaries for the given object. See bal.tab()
for details.
If clusters are specified, an object of class "bal.tab.cluster"
containing balance summaries within each cluster and a summary of balance across clusters. See class-bal.tab.cluster
for details.
bal.tab()
for details of calculations.
data("lalonde", package = "cobalt")
lalonde$prop.score <- glm(treat ~ age + educ + race +
married + nodegree + re74 + re75,
data = lalonde, family = binomial)$fitted.values
pm <- optmatch::pairmatch(treat ~ prop.score, data = lalonde)
## Using formula and data; LHS of formula not required
bal.tab(pm, formula = ~ age + educ + race +
married + nodegree + re74 + re75,
data = lalonde)
## Using covs
covs <- subset(lalonde, select = -c(re78, treat))
bal.tab(pm, covs = covs)
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