Description Usage Arguments Author(s) See Also

`bivariate`

Performs bivariate analysis of two categorical variables.
The analysis includes a chi-square test of association and difference in
proportion tests for each level of the categorical explanatory variable,
ordered by proportion.

1 2 |

`data` |
Data frame containing response and explanatory variable |

`y` |
Character string description for the response variable |

`x` |
Character string description of the explanatory variable |

`title` |
Character string containing the plot title |

`response` |
Character string indicating whether the response is categorical or numeric c("c", "n") |

`success` |
Character string for the factor variable considered the success factor |

`conf` |
Numeric between 0 and 1 for the designated confidence level |

`alpha` |
Numeric between 0 and 1 for the probability of a type I error |

`alternative` |
Character string indicating whether the alternative hypothesis is "two.sided", "less", or "greater" |

John James, [email protected]

Other xmar functions: `analyze2DData`

,
`analyzeTrend`

, `diffTest`

,
`multivariate`

, `plotBars`

,
`plotDiffTest`

, `plotLines`

,
`plotX2`

, `preprocess`

,
`univariate`

, `x2Test`

,
`x2TrendTest`

DataScienceSalon/xms documentation built on May 28, 2019, 12:24 p.m.

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