Update AusTraits_tutorial.qmd

use austraits::plot_trait_distribution_beeswarm not traits.build::plot_trait_distribution_beeswarm
traitecoevo · Dec 14, 2023 · e4a46ef · e4a46ef
1 parent 6ba0352
commit e4a46ef
Showing 1 changed file with 3 additions and 3 deletions.
diff --git a/AusTraits_tutorial.qmd b/AusTraits_tutorial.qmd
@@ -75,7 +75,7 @@ austraits$traits %>%
 *How are these data distributed across datasets?*
 
 ```{r, eval = TRUE}
-traits.build::plot_trait_distribution_beeswarm(austraits, "leaf_N_per_dry_mass", y_axis_category = "dataset_id")
+austraits::plot_trait_distribution_beeswarm(austraits, "leaf_N_per_dry_mass", y_axis_category = "dataset_id")
 ```
 
 *How much data exist for other nitrogen traits?*
@@ -559,14 +559,14 @@ This function first groups values at the site level, then at the taxon level. Fo
 
 Another way to summarise AusTraits data by trait, and determine whether AusTraits offers sufficient data coverage for a trait of choice, is to plot the distribution of trait values in AusTraits.
 
-As seen in [`A first look at data`](#exploring), the function `traits.build::plot_trait_distribution_beeswarm()` plots trait data by dataset_id:
+As seen in [`A first look at data`](#exploring), the function `austraits::plot_trait_distribution_beeswarm()` plots trait data by dataset_id:
 
 ```{r, eval = TRUE}
 austraits$traits %>% 
   dplyr::filter(trait_name == "leaf_N_per_dry_mass") %>%
   dplyr::distinct(taxon_name) %>% nrow()
 
-traits.build::plot_trait_distribution_beeswarm(austraits, "leaf_N_per_dry_mass", 
+austraits::plot_trait_distribution_beeswarm(austraits, "leaf_N_per_dry_mass", 
                                                y_axis_category = "dataset_id")
 ```