Description Usage Arguments Details Value

If the covariate is numeric, boxplots will be drawn with red points for the mean and green error bars for the standard error. For non-numeric covariates a barplot will be drawn.

1 2 3 4 |

`x` |
results from |

`covar` |
vector of the covariate to check balance of. |

`model` |
an integer between 1 and 3 indicating from which model the propensity scores will be used. |

`nstrata` |
number of strata to use. |

`label` |
label for the legend. |

`ylab` |
label of the y-axis. |

`xlab` |
label of the x-axis. |

`se.ratio` |
a multiplier for how large standard error bars will be. |

`print` |
print the output if the Freidman Rank Sum Test and repeated measures ANOVA (for continuous variables). |

`legend.position` |
the position of the legend. See |

`x.axis.labels` |
labels for the x-axis. |

`x.axis.angle` |
angle for x-axis labels. |

`...` |
parameters passed to |

A Friedman rank sum test will be performed for all covariate types, printed,
and stored as an attribute to the returned object named `friedman`

. If
a continuous covariate a repeated measures ANOVA will also be performed, printed,
and returned as an attribute named `rmanova`

.

a `ggplot2`

figure or a list of `ggplot2`

figures if `covar`

is a data frame.

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