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, ...)

Arguments

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().

Examples

# 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