View source: R/collapse_re_data.R
collapse_by_group  R Documentation 
This function extracts the raw data points (i.e. the data
that was used to fit the model) and "averages" (i.e. "collapses") the
response variable over the levels of the grouping factor given in
collapse.by
. Only works with mixed models.
collapse_by_group(grid, model, collapse.by = NULL, residuals = FALSE)
grid 
A data frame representing the data grid, or an object of class

model 
The model for which to compute partial residuals. The data grid

collapse.by 
Name of the (random effects) grouping factor. Data is collapsed by the levels of this factor. 
residuals 
Logical, if 
A data frame with raw data points, averaged over the levels of
the given grouping factor from the random effects. The group level of
the random effect is saved in the column "random"
.
library(ggeffects) if (require("lme4", quietly = TRUE)) { data(efc) efc$e15relat < as.factor(efc$e15relat) efc$c161sex < as.factor(efc$c161sex) levels(efc$c161sex) < c("male", "female") model < lmer(neg_c_7 ~ c161sex + (1  e15relat), data = efc) me < ggpredict(model, terms = "c161sex") head(attributes(me)$rawdata) collapse_by_group(me, model, "e15relat") }
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