bal.table | R Documentation |
Extract the balance table from ps, dx.wts, and mnps objects
bal.table(
x,
digits = 3,
collapse.to = c("pair", "covariate", "stop.method")[1],
subset.var = NULL,
subset.treat = NULL,
subset.stop.method = NULL,
es.cutoff = 0,
ks.cutoff = 0,
p.cutoff = 1,
ks.p.cutoff = 1,
timePeriods = NULL,
...
)
x |
A ps or dx.wts object. |
digits |
The number of digits that the numerical entries should be rounded to. Default: 3. |
collapse.to |
For |
subset.var |
Eliminate all but a specified subset of covariates. |
subset.treat |
Subset to either all pairs that include a specified treatment or a single pair of treatments. |
subset.stop.method |
Subset to either all pairs that include a specified treatment or a single pair of treatments. |
es.cutoff |
Subsets to comparisons with absolute ES values bigger than
|
ks.cutoff |
Subsets to comparisons with KS values bigger than
|
p.cutoff |
Subsets to comparisons with t- or chi-squared p-values
no bigger than |
ks.p.cutoff |
Subsets to comparisons with t- or chi-squared p-values
no bigger than |
timePeriods |
Used to subset times for iptw fits. |
... |
Additional arugments. |
bal.table
is a generic function for extracting balance
tables from ps and dx.wts objects. These objects
usually have several sets of candidate weights, one for an unweighted
analysis and perhaps several stop.methods
. bal.table
will return a table for each set of weights combined into a list. Each list
component will be named as given in the x
, usually the name of the
stop.method
. The balance table labeled “unw” indicates the
unweighted analysis.
Returns a data frame containing the balance information.
tx.mn
The mean of the treatment group.
tx.sd
The standard deviation of the treatment group.
ct.mn
The mean of the control group.
ct.sd
The standard deviation of the control group.
std.eff.sz
The standardized effect size, (tx.mn-ct.mn)/tx.sd.
If tx.sd is small or 0, the standardized effect size can be large or INF.
Therefore, standardized effect sizes greater than 500 are set to NA.
stat
The t-statistic for numeric variables and the chi-square
statistic for continuous variables.
p
The p-value for the test associated with stat
ks
The KS statistic.
ks.pval
The KS p-value computed using the analytic approximation,
which does not necessarily work well with a lot of ties.
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