Tidy t-test statistic

A shortcut wrapper function to get the observed test statistic for a t test.

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

Arguments

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 x that will serve as the response. This is alternative to using the formula argument.
explanatory	The variable name in x that will serve as the explanatory variable.
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.
...	Pass in arguments to \infer\ functions.

Examples

library(tidyr)

# t test statistic for true mean number of hours worked
# per week of 40
gss %>%
   t_stat(response = hours, mu = 40)
#>        t 
#> 2.085191 

# t test statistic for number of hours worked per week
# by college degree status
gss %>%
   tidyr::drop_na(college) %>%
   t_stat(formula = hours ~ college,
      order = c("degree", "no degree"),
      alternative = "two-sided")
#>       t 
#> 1.11931