t_test: Tidy t-test
In andrewpbray/infer: Tidy Statistical Inference

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

1 2	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 `order = c("first", "second")` means `("first" - "second")`.
`alternative`	Character string giving the direction of the alternative hypothesis. Options are `"two_sided"` (default), `"greater"`, or `"less"`.
`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. `TRUE` by default.
`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")