Bug: pretty_names = "labels" does not work for AER::tobit models

DESCRIPTION

@@ -1,7 +1,7 @@
 Type: Package
 Package: parameters
 Title: Processing of Model Parameters
-Version: 0.22.0.5
+Version: 0.22.0.6
 Authors@R:
     c(person(given = "Daniel",
              family = "Lüdecke",

NEWS.md

@@ -12,6 +12,9 @@
 * `model_parameters()` for `anova()` from mixed models now also includes the
   denominator degrees of freedom in the output (`df_error`).
 
+* `print(..., pretty_names = "labels")` for tobit-models from package *AER* now
+  include value labels, if available.
+
 * Patch release, to ensure that performance runs with older version of datawizard
   on Mac OS X with R (old-release).
 

R/format_parameters.R

@@ -72,10 +72,10 @@ format_parameters.parameters_model <- function(model, ...) {
 
   # save some time, if model info is passed as argument
   dot_args <- list(...)
-  if (!is.null(dot_args$model_info)) {
-    info <- dot_args$model_info
-  } else {
+  if (is.null(dot_args$model_info)) {
     info <- insight::model_info(model, verbose = FALSE)
+  } else {
+    info <- dot_args$model_info
   }
 
   ## TODO remove is.list() when insight 0.8.3 on CRAN
@@ -299,16 +299,16 @@ format_parameters.parameters_model <- function(model, ...) {
     if (type == "interaction") {
       components <- paste0(
         "(",
-        paste0(utils::head(components, -1), collapse = sep),
+        paste(utils::head(components, -1), collapse = sep),
         ")",
         sep,
         utils::tail(components, 1)
       )
     } else {
-      components <- paste0(components, collapse = sep)
+      components <- paste(components, collapse = sep)
     }
   } else {
-    components <- paste0(components, collapse = sep)
+    components <- paste(components, collapse = sep)
   }
   components
 }
@@ -378,6 +378,12 @@ format_parameters.parameters_model <- function(model, ...) {
   if (!is.null(model) && insight::is_regression_model(model) && !is.data.frame(model)) {
     # get data, but exclude response - we have no need for that label
     mf <- insight::get_data(model, source = "mf", verbose = FALSE)
+    # sanity check - any labels?
+    has_labels <- vapply(mf, function(i) !is.null(attr(i, "labels", exact = TRUE)), logical(1))
+    # if we don't have labels, we try to get data from environment
+    if (!any(has_labels)) {
+      mf <- insight::get_data(model, source = "environment", verbose = FALSE)
+    }
     resp <- insight::find_response(model, combine = FALSE)
     mf <- mf[, setdiff(colnames(mf), resp), drop = FALSE]
 
@@ -432,7 +438,7 @@ format_parameters.parameters_model <- function(model, ...) {
           # extract single coefficient names from interaction term
           out <- unlist(strsplit(i, ":", fixed = TRUE))
           # combine labels
-          labs <- c(labs, paste0(sapply(out, function(l) pretty_labels[l]), collapse = " * "))
+          labs <- c(labs, paste(sapply(out, function(l) pretty_labels[l]), collapse = " * "))
         }
         # add interaction terms to labels string
         names(labs) <- names(interactions)
@@ -461,10 +467,10 @@ format_parameters.parameters_model <- function(model, ...) {
   win_os <- tryCatch(
     {
       si <- Sys.info()
-      if (!is.null(si["sysname"])) {
-        si["sysname"] == "Windows" || startsWith(R.version$os, "mingw")
-      } else {
+      if (is.null(si["sysname"])) {
         FALSE
+      } else {
+        si["sysname"] == "Windows" || startsWith(R.version$os, "mingw")
       }
     },
     error = function(e) {

tests/testthat/_snaps/print_AER_labels.md

@@ -0,0 +1,19 @@
+# templates
+
+    Code
+      print(mp, pretty_names = "labels")
+    Output
+      # Fixed Effects
+
+      Parameter                                 | Coefficient |   SE |         95% CI |     z |     p
+      -----------------------------------------------------------------------------------------------
+      (Intercept)                               |        8.72 | 3.45 | [ 1.95, 15.48] |  2.52 | 0.012
+      elder's dependency [slightly dependent]   |       -1.00 | 3.61 | [-8.08,  6.08] | -0.28 | 0.782
+      elder's dependency [moderately dependent] |        2.68 | 3.06 | [-3.32,  8.68] |  0.88 | 0.381
+      elder's dependency [severely dependent]   |        3.88 | 3.00 | [-2.01,  9.77] |  1.29 | 0.197
+      carer's level of education                |        1.14 | 0.90 | [-0.62,  2.90] |  1.27 | 0.204
+    Message
+
+      Uncertainty intervals (equal-tailed) and p-values (two-tailed) computed
+        using a Wald z-distribution approximation.
+

tests/testthat/test-print_AER_labels.R

@@ -0,0 +1,9 @@
+skip_if_not_installed("AER")
+skip_if_not_installed("datawizard")
+
+test_that("templates", {
+  data(efc, package = "datawizard")
+  model <- AER::tobit(neg_c_7 ~ e42dep + c172code, data = efc)
+  mp <- model_parameters(model)
+  expect_snapshot(print(mp, pretty_names = "labels"))
+})