`t.test.Rd`

`t.test_mverse`

performs t-tests across the multiverse.
You can specify

ttest_mverse( .mverse, x, y = NULL, alternative = "two.sided", mu = 0, paired = FALSE, var.equal = FALSE, conf.level = 0.95 )

.mverse | a |
---|---|

x | column name of data within mverse object |

y | (optional) column name of data within mverse object |

alternative | a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less". You can specify just the initial letter. |

mu | a number indicating the true value of the mean (or difference in means if you are performing a two sample test). |

paired | a logical indicating whether you want a paired t-test. |

var.equal | a logical variable indicating whether to treat the two variances as being equal. |

conf.level | confidence level of the interval. |

A `ttest_mverse`

object.

if (FALSE) { mv <- mv %>% t.test_mverse() }