apa.r.compare.across.samples {apaText} | R Documentation |

Report difference between correlations in markdown APA style from different samples

```
apa.r.compare.across.samples(
formula,
data1,
data2,
alternative = "two.sided",
show.conf.interval = NULL,
show.N = NULL,
show.p = NULL,
show.statistic = NULL
)
```

`formula` |
Formula for comparing correlations |

`data1` |
Project data frame 1 name |

`data2` |
Project data frame 2 name |

`alternative` |
Alternative hypothesis to pass to alternative argument of cocor.indep.groups. Default is "two.sided" |

`show.conf.interval` |
Show confidence interval or not (TRUE/FALSE). Default behavior is TRUE. |

`show.N` |
Show sample size or not (TRUE/FALSE). Default behavior is TRUE. |

`show.p` |
Show p-value or not (TRUE/FALSE). Default behavior is TRUE. |

`show.statistic` |
Show test statistic or not (TRUE/FALSE). Default behavior is TRUE. |

R Markdown text

```
# Test difference between r(rating, learning) from dataset: attitude
# and r(weight, height) from dataset: women
apa.r.compare.across.samples(formula = ~ rating + learning | height + weight,
data1 = attitude,
data2 = women)
```

[Package *apaText* version 0.1.7 Index]