Get Model Term Names
Extract term names from a fitted model object.
xNam(mod, intercept = TRUE, aliased = TRUE, list = FALSE, env = parent.frame())
mod |
A fitted model object, or a list or nested list of such objects. |
intercept |
Logical, whether the intercept should be included. |
aliased |
Logical, whether names of aliased terms should be included (see Details). |
list |
Logical, whether names should be returned as a list, with all multi-coefficient terms grouped under their main term names. |
env |
Environment in which to look for model data (used to construct the model frame). |
Extract term names from a fitted model. Names of terms for which
coefficients cannot be estimated are also included if aliased = TRUE
(default). These may be terms which are perfectly correlated with other
terms in the model, so that the model design matrix is rank deficient.
A character vector or list/nested list of term names.
# Term names from Shipley SEM
m <- Shipley.SEM
xNam(m)
xNam(m, intercept = FALSE)
# Model with different types of predictor (some multi-coefficient terms)
d <- data.frame(
y = rnorm(100),
x1 = rnorm(100),
x2 = as.factor(rep(c("a", "b", "c", "d"), each = 25)),
x3 = rep(1, 100)
)
m <- lm(y ~ poly(x1, 2) + x2 + x3, data = d)
xNam(m)
xNam(m, aliased = FALSE) # drop term that cannot be estimated (x3)
xNam(m, aliased = FALSE, list = TRUE) # names as listPlease choose more modern alternatives, such as Google Chrome or Mozilla Firefox.