mdis_grps: Matrix algebra in base R for covariate balance using Mahalanobis distance of two datasets

This function will compute M-distance for two datasets by covariate means

mdis_grps(x_t, x_c)

Arguments

x_t	a dataframe or matrix class object, all numeric
x_c	a dataframe or matrix class object, all numeric

Value

a numeric vector of length one, the M-distance multiplied by a constance for sample size

Examples

require(jumble)
df_t <- jumble::ACTG175[ACTG175$arms==1, c('age', 'gender', 'race', 'msm')]
df_c <- jumble::ACTG175[ACTG175$arms==0, c('age', 'gender', 'race', 'msm')]

mdis_grps(df_t, df_c)
#> [1] 0.00539505