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

t_test( x, formula, response = NULL, explanatory = NULL, order = NULL, alternative = "two-sided", mu = 0, conf_int = TRUE, conf_level = 0.95, ... )

x | 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. |

response | The variable name in |

explanatory | The variable name in |

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(). |

library(tidyr) # t test for number of hours worked per week # by college degree status gss %>% tidyr::drop_na(college) %>% t_test(formula = hours ~ college, order = c("degree", "no degree"), alternative = "two-sided")#> # A tibble: 1 x 6 #> statistic t_df p_value alternative lower_ci upper_ci #> <dbl> <dbl> <dbl> <chr> <dbl> <dbl> #> 1 1.12 366. 0.264 two.sided -1.16 4.24# see vignette("infer") for more explanation of the # intuition behind the infer package, and vignette("t_test") # for more examples of t-tests using infer