insight (version 0.11.0)

get_data: Get the data that was used to fit the model

Description

This functions tries to get the data that was used to fit the model and returns it as data frame.

Usage

get_data(x, ...)
# S3 method for gee
get_data(x, effects = c("all", "fixed", "random"), ...)
# S3 method for rqss
get_data(x, component = c("all", "conditional", "smooth_terms"), ...)
# S3 method for hurdle
get_data(
  x,
  component = c("all", "conditional", "zi", "zero_inflated", "dispersion"),
  ...
)
# S3 method for zcpglm
get_data(x, component = c("all", "conditional", "zi", "zero_inflated"), ...)
# S3 method for glmmTMB
get_data(
  x,
  effects = c("all", "fixed", "random"),
  component = c("all", "conditional", "zi", "zero_inflated", "dispersion"),
  ...
)
# S3 method for merMod
get_data(x, effects = c("all", "fixed", "random"), ...)
# S3 method for glmmadmb
get_data(x, effects = c("all", "fixed", "random"), ...)
# S3 method for rlmerMod
get_data(x, effects = c("all", "fixed", "random"), ...)
# S3 method for clmm
get_data(x, effects = c("all", "fixed", "random"), ...)
# S3 method for mixed
get_data(x, effects = c("all", "fixed", "random"), ...)
# S3 method for lme
get_data(x, effects = c("all", "fixed", "random"), ...)
# S3 method for MixMod
get_data(
  x,
  effects = c("all", "fixed", "random"),
  component = c("all", "conditional", "zi", "zero_inflated", "dispersion"),
  ...
)
# S3 method for brmsfit
get_data(
  x,
  effects = c("all", "fixed", "random"),
  component = c("all", "conditional", "zi", "zero_inflated"),
  ...
)
# S3 method for stanreg
get_data(x, effects = c("all", "fixed", "random"), ...)
# S3 method for MCMCglmm
get_data(x, effects = c("all", "fixed", "random"), ...)

Arguments

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.

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.

Value

The data that was used to fit the model.

Examples

# NOT RUN {
data(cbpp, package = "lme4")
cbpp$trials <- cbpp$size - cbpp$incidence
m <- glm(cbind(incidence, trials) ~ period, data = cbpp, family = binomial)
head(get_data(m))
# }