| assert_is_empty_model {assertive.models} | R Documentation |
Checks to see if the input is the empty model.
assert_is_empty_model(x, severity = getOption("assertive.severity", "stop"))
assert_is_non_empty_model(x, severity = getOption("assertive.severity",
"stop"))
is_empty_model(x, .xname = get_name_in_parent(x))
is_non_empty_model(x, .xname = get_name_in_parent(x))
x |
Input to check. |
severity |
How severe should the consequences of the assertion be?
Either |
.xname |
Not intended to be used directly. |
is_[non_]empty_model returns TRUE if the input is an
[non] empty model. (has_terms is used to determine that a variable
is a model object.) The model is considered empty if there are no
factors and no intercept. The assert_* functions return nothing
but throw an error if the corresponding is_* function returns
FALSE.
is.empty.model and is_empty.
assert_is_empty_model(lm(uptake ~ 0, CO2)) assert_is_non_empty_model(lm(uptake ~ conc, CO2)) assert_is_non_empty_model(lm(uptake ~ 1, CO2))