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(). |
Other wrapper functions:
chisq_stat()
,
chisq_test()
,
observe()
,
prop_test()
,
t_stat()
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