find_terms {insight} | R Documentation |
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 <- suppressWarnings(lmer( log(Reaction) ~ Days + I(Days^2) + (1 + Days + exp(Days) | Subject), data = sleepstudy )) find_terms(m) }