See balance statisitics of variables between treatment and control groups.
Usage
print_balance(.data, treatment, confounders, estimand = c("ATE", "ATT", "ATC"))Arguments
- .data
dataframe
- treatment
the column denoted treatment. Must be binary.
- confounders
character list of column names denoting the X columns of interest
- estimand
character of either ATE, ATT or ATC the causal estimand you are making inferences about
Examples
data(lalonde)
print_balance(lalonde, 'treat', confounders = c('re78', 'age', 'educ'), estimand = 'ATE')
#> # A tibble: 3 × 4
#> variable `difference in means` standardized differenc…¹ ratio of the varianc…²
#> <chr> <dbl> <chr> <chr>
#> 1 age 0.76 0.11 1.01
#> 2 educ 0.26 0.14 1.25
#> 3 re78 1794. 0.26 1.43
#> # ℹ abbreviated names: ¹`standardized difference in means`,
#> # ²`ratio of the variance`