.post_processing_labels <- function(model, result, original_model_frame, data_grid, cleaned_terms, original_terms, model_info, type, prediction.interval, at_list, condition = NULL, ci.lvl = .95) {
# get axis titles and labels
all.labels <- .get_axis_titles_and_labels(
model,
original_model_frame = original_model_frame,
terms = cleaned_terms,
fun = .get_model_function(model),
model_info = model_info,
no.transform = FALSE,
type = type
)
# set attributes with necessary information
.set_attributes_and_class(
data = result,
model = model,
t.title = all.labels$t.title,
x.title = all.labels$x.title,
y.title = all.labels$y.title,
l.title = all.labels$l.title,
legend.labels = attr(result, "legend.labels"),
x.axis.labels = all.labels$axis.labels,
model_info = model_info,
constant.values = attr(data_grid, "constant.values", exact = TRUE),
terms = cleaned_terms,
original_terms = original_terms,
at_list = at_list,
n.trials = attr(data_grid, "n.trials", exact = TRUE),
prediction.interval = prediction.interval,
condition = condition,
ci.lvl = ci.lvl,
type = type
)
}
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