Find all model termsSource:
Returns a list with the names of all terms, including response
value and random effects, "as is". This means, on-the-fly tranformations
or arithmetic expressions like
as.factor() etc. are
find_terms(x, ...) # S3 method for default find_terms(x, flatten = FALSE, as_term_labels = FALSE, verbose = TRUE, ...)
A fitted model.
Currently not used.
TRUE, the values are returned as character vector, not as list. Duplicated values are removed.
TRUE, extracts model formula and tries to access the
"term.labels"attribute. This should better mimic the
terms()behaviour even for those models that do not have such a method, but may be insufficient, e.g. for mixed models.
A list with (depending on the model) following elements (character vectors):
response, the name of the response variable
conditional, the names of the predictor variables from the conditional model (as opposed to the zero-inflated part of a model)
random, the names of the random effects (grouping factors)
zero_inflated, the names of the predictor variables from the zero-inflated part of the model
zero_inflated_random, the names of the random effects (grouping factors)
dispersion, the name of the dispersion terms
instruments, the names of instrumental variables
NULL if no terms could be found (for instance, due to
problems in accessing the formula).
The difference to
find_variables() is that
may return a variable multiple times in case of multiple transformations
(see examples below), while
find_variables() returns each variable
name only once.
data(sleepstudy, package = "lme4") m <- suppressWarnings(lme4::lmer( log(Reaction) ~ Days + I(Days^2) + (1 + Days + exp(Days) | Subject), data = sleepstudy )) find_terms(m) #> $response #>  "log(Reaction)" #> #> $conditional #>  "Days" "I(Days^2)" #> #> $random #>  "Days" "exp(Days)" "Subject" #> # sometimes, it is necessary to retrieve terms from "term.labels" attribute m <- lm(mpg ~ hp * (am + cyl), data = mtcars) find_terms(m, as_term_labels = TRUE) #> $conditional #>  "hp" "am" "cyl" "hp:am" "hp:cyl" #>