A tidier version of t.test() for two sample tests.

t_test(data, formula, order = NULL, alternative = "two_sided", mu = 0, conf_int = TRUE, conf_level = 0.95, ...)

data | A data frame that can be coerced into a tibble. |
---|---|

formula | A formula with the response variable on the left and the explanatory on the right. |

order | A string vector of specifying the order in which the levels of
the explanatory variable should be ordered for subtraction, where |

alternative | Character string giving the direction of the alternative
hypothesis. Options are |

mu | A numeric value giving the hypothesized null mean value for a one sample test and the hypothesized difference for a two sample test. |

conf_int | A logical value for whether to include the confidence
interval or not. |

conf_level | A numeric value between 0 and 1. Default value is 0.95. |

... | For passing in other arguments to t.test(). |

# t test for comparing mpg against automatic/manual mtcars %>% dplyr::mutate(am = factor(am)) %>% t_test(mpg ~ am, order = c("1", "0"), alternative = "less")#> # A tibble: 1 x 6 #> statistic t_df p_value alternative lower_ci upper_ci #> <dbl> <dbl> <dbl> <chr> <dbl> <dbl> #> 1 3.77 18.3 0.999 less -Inf 10.6