Find all model terms
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 log(), I(),
as.factor() etc. are preserved.
find_terms(x, flatten = FALSE, verbose = TRUE, ...)
x |
A fitted model. |
flatten |
Logical, if |
verbose |
Toggle warnings. |
... |
Currently not used. |
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
Returns NULL if no terms could be found (for instance, due to
problems in accessing the formula).
The difference to find_variables is that find_terms()
may return a variable multiple times in case of multiple transformations
(see examples below), while find_variables() returns each variable
name only once.
if (require("lme4")) {
data(sleepstudy)
m <- lmer(
log(Reaction) ~ Days + I(Days^2) + (1 + Days + exp(Days) | Subject),
data = sleepstudy
)
find_terms(m)
}Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.