balance | R Documentation |

This method provides some crude overall measures of balance.

```
balance(psaboot, na.rm = TRUE, pool.fun = mean)
```

`psaboot` |
results from |

`na.rm` |
should NAs be removed. NAs generally occur when there is insufficient sample for a particular covariate or an unused level. |

`pool.fun` |
a function specifying how the effect sizes across all covariates
should be combined. Possible values include |

a list with three elements:

- unadjusted
named numeric vector with unadjusted effect size before adjustment for each covariate

- complete
a matrix with adjusted effect size for each covariate (columns) for each method (rows).

- pooled
a matrix with mean adjusted effect size for all covariates for each method (columns) and each bootstrap sample (rows).

- balances
a list with an M x n covariates matrix for each method.

```
library(PSAboot)
data(pisa.psa.cols)
data(pisausa)
bm.usa <- PSAboot(Tr = as.integer(pisausa$PUBPRIV) - 1,
Y = pisausa$Math,
X = pisausa[,pisa.psa.cols],
control.ratio = 5, M = 100, seed = 2112)
bm.usa.bal <- balance(bm.usa)
```

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