balanceTable | R Documentation |

Given an unmatched sample of treated and control units and (optionally) a matched sample from the same data, produces a table with pre- and post-match measures of covariate balance.

balanceTable( df.orig, df.match = NULL, treatment, school.id = NULL, var.names = NULL, include.tests = FALSE, verbose = FALSE )

`df.orig` |
a data frame containing the data before matching |

`df.match` |
an optional data frame containing the matched sample. Must have all variable names to be balanced. |

`treatment` |
name of the binary indicator for treatment status |

`school.id` |
Identifier for groups (for example schools); need to pass if p-values for balance statistics are desired. |

`var.names` |
List of variable names to calculate balance for. If NULL, use all variables found in the df.orig data.frame. |

`include.tests` |
Include tests of imbalance on covariates (TRUE/FALSE). |

`verbose` |
a logical value indicating whether detailed output should be printed. |

This table can also include p-values for tests of whether the balance is statistically significant. These tests assume randomization at the cluster level. We recommend looking at the standardized differences rather than p-values to assess severity of imbalance, however.

The two tests, for each covariate are (1) Aggregation, where the covariates are averaged by each cluster, followed by a heteroskedastic robust t-test on the coefficient of a regression of these averages onto treatment (and intercept) and (2) cluster robust standard errors for the coefficient of treatment on a regression of covariate onto treatment (and intercept).

A data.frame of balance measures, with one row for each covariate in
`df.orig`

except `treatment`

, and columns for treated and control
means, standardized differences in means, p-values from two types of
regression for difference in the groups. See description for further
details. If `df.match`

is specified there are twice as many columns,
one set for the pre-match samples and one set for the post-match samples.

Rosenbaum, Paul R. (2002). *Observational Studies*.
Springer-Verlag.

Rosenbaum, Paul R. (2010). *Design of Observational Studies*.
Springer-Verlag.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.