Get the data that was used to fit the model
This functions tries to get the data that was used to fit the model and returns it as data frame.
get_data(x, ...)
## S3 method for class 'gee'
get_data(x, effects = c("all", "fixed", "random"), verbose = TRUE, ...)
## S3 method for class 'rqss'
get_data(
x,
component = c("all", "conditional", "smooth_terms"),
verbose = TRUE,
...
)
## S3 method for class 'hurdle'
get_data(
x,
component = c("all", "conditional", "zi", "zero_inflated", "dispersion"),
verbose = TRUE,
...
)
## S3 method for class 'zcpglm'
get_data(
x,
component = c("all", "conditional", "zi", "zero_inflated"),
verbose = TRUE,
...
)
## S3 method for class 'glmmTMB'
get_data(
x,
effects = c("all", "fixed", "random"),
component = c("all", "conditional", "zi", "zero_inflated", "dispersion"),
verbose = TRUE,
...
)
## S3 method for class 'merMod'
get_data(x, effects = c("all", "fixed", "random"), verbose = TRUE, ...)
## S3 method for class 'glmmadmb'
get_data(x, effects = c("all", "fixed", "random"), verbose = TRUE, ...)
## S3 method for class 'rlmerMod'
get_data(x, effects = c("all", "fixed", "random"), ...)
## S3 method for class 'clmm'
get_data(x, effects = c("all", "fixed", "random"), ...)
## S3 method for class 'mixed'
get_data(x, effects = c("all", "fixed", "random"), ...)
## S3 method for class 'lme'
get_data(x, effects = c("all", "fixed", "random"), ...)
## S3 method for class 'MixMod'
get_data(
x,
effects = c("all", "fixed", "random"),
component = c("all", "conditional", "zi", "zero_inflated", "dispersion"),
verbose = TRUE,
...
)
## S3 method for class 'brmsfit'
get_data(x, effects = "all", component = "all", verbose = TRUE, ...)
## S3 method for class 'stanreg'
get_data(x, effects = c("all", "fixed", "random"), verbose = TRUE, ...)
## S3 method for class 'MCMCglmm'
get_data(x, effects = c("all", "fixed", "random"), ...)x |
A fitted model. |
... |
Currently not used. |
effects |
Should model data for fixed effects, random effects or both be returned? Only applies to mixed models. |
verbose |
Toggle messages and warnings. |
component |
Should all predictor variables, predictor variables for the conditional model, the zero-inflated part of the model, the dispersion term or the instrumental variables be returned? Applies to models with zero-inflated and/or dispersion formula, or to models with instrumental variable (so called fixed-effects regressions). May be abbreviated. Note that the conditional component is also called count or mean component, depending on the model. |
The data that was used to fit the model.
Unlike model.frame(), which may contain transformed variables
(e.g. if poly() or scale() was used inside the formula to
specify the model), get_data() aims at returning the "original",
untransformed data (if possible). Consequently, column names are changed
accordingly, i.e. "log(x)" will become "x" etc. for all data
columns with transformed values.
if (require("lme4")) {
data(cbpp, package = "lme4")
cbpp$trials <- cbpp$size - cbpp$incidence
m <- glm(cbind(incidence, trials) ~ period, data = cbpp, family = binomial)
head(get_data(m))
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