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

## Usage

```
t_test(
x,
formula,
response = NULL,
explanatory = NULL,
order = NULL,
alternative = "two-sided",
mu = 0,
conf_int = TRUE,
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. Alternatively, a

`response`

and`explanatory`

argument can be supplied.- response
The variable name in

`x`

that will serve as the response. This is an alternative to using the`formula`

argument.- explanatory
The variable name in

`x`

that will serve as the explanatory variable. This is an alternative to using the formula argument.- 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().

## See also

Other wrapper functions:
`chisq_stat()`

,
`chisq_test()`

,
`observe()`

,
`prop_test()`

,
`t_stat()`

## Examples

```
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 × 7
#> statistic t_df p_value alternative estimate lower_ci upper_ci
#> <dbl> <dbl> <dbl> <chr> <dbl> <dbl> <dbl>
#> 1 1.12 366. 0.264 two.sided 1.54 -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
```