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, ... )
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. |
... |
Pass in arguments to \infer\ functions. |
library(tidyr) # t test statistic for true mean number of hours worked # per week of 40 gss %>% t_stat(response = hours, mu = 40) # 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")
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