Tidy t-test
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(). |
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")
# see vignette("infer") for more explanation of the
# intuition behind the infer package, and vignette("t_test")
# for more examples of t-tests using inferPlease choose more modern alternatives, such as Google Chrome or Mozilla Firefox.