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 gee
get_data(x, effects = c("all", "fixed", "random"), verbose = TRUE, ...)

# S3 method for rqss
get_data(
  x,
  component = c("all", "conditional", "smooth_terms"),
  verbose = TRUE,
  ...
)

# S3 method for hurdle
get_data(
  x,
  component = c("all", "conditional", "zi", "zero_inflated", "dispersion"),
  verbose = TRUE,
  ...
)

# S3 method for zcpglm
get_data(
  x,
  component = c("all", "conditional", "zi", "zero_inflated"),
  verbose = TRUE,
  ...
)

# S3 method for glmmTMB
get_data(
  x,
  effects = c("all", "fixed", "random"),
  component = c("all", "conditional", "zi", "zero_inflated", "dispersion"),
  verbose = TRUE,
  ...
)

# S3 method for merMod
get_data(x, effects = c("all", "fixed", "random"), verbose = TRUE, ...)

# S3 method for glmmadmb
get_data(x, effects = c("all", "fixed", "random"), verbose = TRUE, ...)

# 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 afex_aov
get_data(x, shape = c("long", "wide"), ...)

# 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"),
  verbose = TRUE,
  ...
)

# S3 method for brmsfit
get_data(x, effects = "all", component = "all", verbose = TRUE, ...)

# S3 method for stanreg
get_data(x, effects = c("all", "fixed", "random"), verbose = TRUE, ...)

# 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.
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.
shape	Return long or wide data? Only applicable in repeated measures designs.

Value

The data that was used to fit the model.

Note

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.

Examples

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))
}
#>   cbind(incidence, trials).incidence cbind(incidence, trials).trials period
#> 1                                  2                              12      1
#> 2                                  3                               9      2
#> 3                                  4                               5      3
#> 4                                  0                               5      4
#> 5                                  3                              19      1
#> 6                                  1                              17      2
#>   incidence trials
#> 1         2     12
#> 2         3      9
#> 3         4      5
#> 4         0      5
#> 5         3     19
#> 6         1     17