fix "formal argument "rules" matched by multiple actual arguments"

DESCRIPTION

@@ -82,7 +82,7 @@ VignetteBuilder:
     knitr
 Encoding: UTF-8
 Language: en-US
-RoxygenNote: 7.3.1
+RoxygenNote: 7.3.2
 Config/testthat/edition: 3
 Config/Needs/website:
     rstudio/bslib,

R/report_htest_chi2.R

@@ -19,9 +19,9 @@
   table_footer <- attributes(table)$table_footer
   ci <- attributes(table)$ci
   estimate <- names(table)[1]
-  rules <- ifelse(is.null(dot_args$rules), rules, dot_args$rules)
+  dot_args$rules <- ifelse(is.null(dot_args$rules), rules, dot_args$rules)
 
-  es_args <- c(list(table, rules = rules), dot_args)
+  es_args <- c(list(table), dot_args)
   interpretation <- do.call(effectsize::interpret, es_args)$Interpretation
   rules <- .text_effectsize(attr(attr(interpretation, "rules"), "rule_name"))
 
@@ -65,7 +65,7 @@
 .report_model_chi2 <- function(x, table) {
   if (chi2_type(x) == "pearson") {
     type <- " of independence between"
-    vars_full <- paste0(names(attributes(x$observed)$dimnames), collapse = " and ")
+    vars_full <- paste(names(attributes(x$observed)$dimnames), collapse = " and ")
   } else if (chi2_type(x) == "probabilities") {
     type <- " / goodness of fit of "
     distr <- ifelse(

R/report_htest_fisher.R

@@ -9,37 +9,28 @@
 # report_effectsize ---------------------
 
 .report_effectsize_fisher <- function(x, table, dot_args, rules = "funder2019") {
-  args <- c(list(x), dot_args)
-  table <- do.call(effectsize::effectsize, args)
+  es_args <- c(list(x), dot_args)
+  table <- do.call(effectsize::effectsize, es_args)
   ci <- attributes(table)$ci
   estimate <- names(table)[1]
-  rules <- ifelse(is.null(dot_args$rules), rules, dot_args$rules)
+  dot_args$rules <- ifelse(is.null(dot_args$rules), rules, dot_args$rules)
 
-  args <- c(list(table, rules = rules), dot_args)
-  interpretation <- do.call(effectsize::interpret, args)$Interpretation
+  es_args <- c(list(table), dot_args)
+  interpretation <- do.call(effectsize::interpret, es_args)$Interpretation
   rules <- .text_effectsize(attr(attr(interpretation, "rules"), "rule_name"))
 
-  if (estimate == "Cramers_v_adjusted") {
-    main <- paste0("Adjusted Cramer's v = ", insight::format_value(table[[estimate]]))
-  } else if (estimate == "Tschuprows_t") {
-    main <- paste0("Tschuprow's t = ", insight::format_value(table[[estimate]]))
-  } else if (estimate == "Tschuprows_t_adjusted") {
-    main <- paste0("Adjusted Tschuprow's t = ", insight::format_value(table[[estimate]]))
-  } else if (estimate == "Pearsons_c") {
-    main <- paste0("Pearson's c = ", insight::format_value(table[[estimate]]))
-  } else if (estimate == "phi_adjusted") {
-    main <- paste0("Adjusted Phi = ", insight::format_value(table[[estimate]]))
-  } else if (estimate == "Cohens_h") {
-    main <- paste0("Cohen's h = ", insight::format_value(table[[estimate]]))
-  } else if (estimate == "Odds_ratio") {
-    main <- paste0("Odds ratio = ", insight::format_value(table[[estimate]]))
-  } else if (estimate == "Ris_kratio") {
-    main <- paste0("Risk ratio = ", insight::format_value(table[[estimate]]))
-  } else if (estimate == "cohens_h") {
-    main <- paste0("Cohen's w = ", insight::format_value(table[[estimate]]))
-  } else {
-    main <- paste0(estimate, " = ", insight::format_value(table[[estimate]]))
-  }
+  main <- switch(estimate,
+    Cramers_v_adjusted = paste0("Adjusted Cramer's v = ", insight::format_value(table[[estimate]])),
+    Tschuprows_t = paste0("Tschuprow's t = ", insight::format_value(table[[estimate]])),
+    Tschuprows_t_adjusted = paste0("Adjusted Tschuprow's t = ", insight::format_value(table[[estimate]])),
+    Pearsons_c = paste0("Pearson's c = ", insight::format_value(table[[estimate]])),
+    phi_adjusted = paste0("Adjusted Phi = ", insight::format_value(table[[estimate]])),
+    Cohens_h = paste0("Cohen's h = ", insight::format_value(table[[estimate]])),
+    Odds_ratio = paste0("Odds ratio = ", insight::format_value(table[[estimate]])),
+    Ris_kratio = paste0("Risk ratio = ", insight::format_value(table[[estimate]])),
+    cohens_h = paste0("Cohen's w = ", insight::format_value(table[[estimate]])),
+    paste0(estimate, " = ", insight::format_value(table[[estimate]]))
+  )
 
   statistics <- paste0(
     main,
@@ -64,15 +55,15 @@
 # report_model ----------------------------
 
 .report_model_fisher <- function(x, table) {
-  vars_full <- paste0(names(attributes(x$observed)$dimnames), collapse = " and ")
+  vars_full <- paste(names(attributes(x$observed)$dimnames), collapse = " and ")
 
-  text <- paste0(
+  final_text <- paste0(
     trimws(x$method),
     " testing the association between the variables of the ",
     x$data.name, " dataset "
   )
 
-  text
+  final_text
 }
 
 chi2_type <- function(x) {

R/report_htest_ttest.R

@@ -44,14 +44,14 @@
 # report_effectsize ---------------------
 
 .report_effectsize_ttest <- function(x, table, dot_args, type, rules = "cohen1988") {
-  my_args <- c(list(x), dot_args)
-  table <- do.call(effectsize::effectsize, my_args)
+  es_args <- c(list(x), dot_args)
+  table <- do.call(effectsize::effectsize, es_args)
   ci <- attributes(table)$ci
   estimate <- names(table)[1]
-  rules <- ifelse(is.null(dot_args$rules), rules, dot_args$rules)
+  dot_args$rules <- ifelse(is.null(dot_args$rules), rules, dot_args$rules)
 
-  my_args <- c(list(table, rules = rules), dot_args)
-  interpretation <- do.call(effectsize::interpret, my_args)$Interpretation
+  es_args <- c(list(table), dot_args)
+  interpretation <- do.call(effectsize::interpret, es_args)$Interpretation
   rules <- .text_effectsize(attr(attr(interpretation, "rules"), "rule_name"))
 
   if (estimate %in% c("d", "Cohens_d")) {

tests/testthat/_snaps/windows/report.htest-correlation.md

@@ -12,10 +12,7 @@
 ---
 
     Code
-      report(cor.test(mtcars$wt, mtcars$mpg, method = "spearman"))
-    Condition
-      Warning in `cor.test.default()`:
-      Cannot compute exact p-value with ties
+      report(suppressWarnings(cor.test(mtcars$wt, mtcars$mpg, method = "spearman")))
     Output
       Effect sizes were labelled following Funder's (2019) recommendations.
 
@@ -26,10 +23,7 @@
 ---
 
     Code
-      report(cor.test(mtcars$wt, mtcars$mpg, method = "kendall"))
-    Condition
-      Warning in `cor.test.default()`:
-      Cannot compute exact p-value with ties
+      report(suppressWarnings(cor.test(mtcars$wt, mtcars$mpg, method = "kendall")))
     Output
       Effect sizes were labelled following Funder's (2019) recommendations.
 

tests/testthat/test-report.htest-correlation.R

@@ -17,8 +17,14 @@ test_that("report.htest-correlation", {
   expect_snapshot(variant = "windows", report(cor.test(mtcars$wt, mtcars$mpg)))
 
   set.seed(123)
-  expect_snapshot(variant = "windows", report(cor.test(mtcars$wt, mtcars$mpg, method = "spearman")))
+  expect_snapshot(variant = "windows", report(suppressWarnings(cor.test(
+    mtcars$wt, mtcars$mpg,
+    method = "spearman"
+  ))))
 
   set.seed(123)
-  expect_snapshot(variant = "windows", report(cor.test(mtcars$wt, mtcars$mpg, method = "kendall")))
+  expect_snapshot(variant = "windows", report(suppressWarnings(cor.test(
+    mtcars$wt, mtcars$mpg,
+    method = "kendall"
+  ))))
 })