%>% operator to add multiple statistical tests to a
tidystats is designed with the tidyverse in mind. One of the things I like about the tidyverse is that functions often accept a data frame as the first argument, allowing you to pipe data frames between functions.
I designed the
add_stats() function such that you can use the
%>% operator to add multiple tests to a list, like so:
results <- results %>% add_stats(sleep_test, type = "primary") %>% add_stats(lm_D9, preregistered = FALSE) %>% add_stats(npk_aov, notes = "An ANOVA example")
Alternatively, you can also do it without the operator:
results <- add_stats(results, sleep_test, type = "primary") results <- add_stats(results, lm_D9, preregistered = FALSE) results <- add_stats(results, npk_aov, notes = "An ANOVA example")
In the latter case, you have to repeat the assignment and the first argument
each time you call
add_stats(). You do not need to do this when
you use the
%>% operator, saving you some time and making your
code easier to read.
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