Test whether a certain H0 can be significantly rejected
test.H0.rejected(test.expr, p.value, test.name = "", alpha.warning = 0.01,
alpha.failure = 0.05,
short.message = "Fail to reject '{{test_name}}', p.value = {{p_value}}",
warning.message = "The null hypothesis from the test '{{test_name}}', should not be rejcected, but I get a fairly low p.value of {{p_value}}.",
failure.message = "I couldn't significantly reject the null hypothesis from the test '{{test_name}}', p.value = {{p_value}}",
success.message = "Great, I could significantly reject the null hypothesis from the test '{{test_name}}', p.value = {{p_value}}!",
check.warning = TRUE, ps = get.ps(), stud.env = ps$stud.env,
part = NULL, ...)an expression that calls a test which will be evaluated in stud.env. The test must return a list that contains a field "p.value"
Instead of providing test.expr, one can directly provide a p.value from a previously run test
an optional test.name that can be used to fill the test_name whiskers in warning or failure messages.
default=0.05 a p.value below a warning is printed that the code may be wrong
default=0.001 the critical p.value below which the stud code is considered wrong
warning.messages Messages in case of a failure and warning and short message for the log.file
if FALSE don't check for a warning
TRUE if H0 can be rejected, FALSE if not and "warning" if it can be weakly rejected