fix!: .data argument renamed to data

This helps separate from special .data argument of tidyverse functions Solves issue #118
selkamand · Jul 13, 2024 · 715eb01 · 715eb01
1 parent 2c30611
commit 715eb01
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Showing 10 changed files with 110 additions and 111 deletions.
diff --git a/R/oncoplot.R b/R/oncoplot.R
diff --git a/inst/testdata/cleanup_simulated_data.R b/inst/testdata/cleanup_simulated_data.R
@@ -46,7 +46,7 @@ df_clinical_valid <- read.csv(system.file(package = "ggoncoplot", "testdata/simu
 df_pathway_valid <- read.csv(system.file(package = "ggoncoplot", "testdata/simulated_mutations.pathways.valid.tsv"), sep = "\t", header = TRUE, check.names = FALSE)
 
 ggoncoplot(
-  .data = df_mutations_valid, col_genes = "Genes", col_samples = "Samples", col_mutation_type = "VariantType",
+  data = df_mutations_valid, col_genes = "Genes", col_samples = "Samples", col_mutation_type = "VariantType",
   metadata = df_clinical_valid, pathway = df_pathway_valid,
   plotsize_metadata_rel_height = 40, interactive_svg_height = 10
   )
diff --git a/man/get_nonmutated_tiles.Rd b/man/get_nonmutated_tiles.Rd
diff --git a/man/ggoncoplot.Rd b/man/ggoncoplot.Rd
diff --git a/man/ggoncoplot_gene_barplot.Rd b/man/ggoncoplot_gene_barplot.Rd
diff --git a/man/ggoncoplot_plot.Rd b/man/ggoncoplot_plot.Rd
diff --git a/man/ggoncoplot_prep_df.Rd b/man/ggoncoplot_prep_df.Rd
diff --git a/man/identify_topn_genes.Rd b/man/identify_topn_genes.Rd
diff --git a/man/unify_samples.Rd b/man/unify_samples.Rd
diff --git a/tests/testthat/_snaps/ggoncoplot_simulated_data.md b/tests/testthat/_snaps/ggoncoplot_simulated_data.md
@@ -4,7 +4,7 @@
       ggoncoplot(df_mutations_na_samples, col_genes = "Genes", col_samples = "Samples")
     Condition
       Error in `ggoncoplot()`:
-      ! '.data[[col_samples]]' must have no missing values! Found 1
+      ! 'data[[col_samples]]' must have no missing values! Found 1
 
 ---
 
@@ -20,7 +20,7 @@
       ggoncoplot(df_mutations_na_genes, col_genes = "Genes", col_samples = "Samples")
     Condition
       Error in `ggoncoplot()`:
-      ! '.data[[col_genes]]' must have no missing values! Found 1
+      ! 'data[[col_genes]]' must have no missing values! Found 1
 
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