Harmonize API

R/plot.bayesfactor_parameters.R

@@ -3,8 +3,8 @@
 #' The `plot()` method for the `bayestestR::bayesfactor_parameters()` function.
 #'
 #' @param size_point Numeric specifying size of point-geoms.
-#' @param rope_alpha Numeric specifying transparency level of ROPE ribbon.
-#' @param rope_color Character specifying color of ROPE ribbon.
+#' @param alpha_rope Numeric specifying transparency level of ROPE ribbon.
+#' @param color_rope Character specifying color of ROPE ribbon.
 #' @param show_intercept Logical, if `TRUE`, the intercept-parameter is included
 #'   in the plot. By default, it is hidden because in many cases the
 #'   intercept-parameter has a posterior distribution on a very different
@@ -19,8 +19,8 @@
 #' @export
 plot.see_bayesfactor_parameters <- function(x,
                                             size_point = 2,
-                                            rope_color = "#0171D3",
-                                            rope_alpha = 0.2,
+                                            color_rope = "#0171D3",
+                                            alpha_rope = 0.2,
                                             show_intercept = FALSE,
                                             ...) {
   if ("log_BF" %in% names(x) && !"BF" %in% names(x)) {
@@ -80,8 +80,8 @@ plot.see_bayesfactor_parameters <- function(x,
         xmax = rope[2],
         ymin = 0,
         ymax = Inf,
-        fill = rope_color,
-        alpha = rope_alpha
+        fill = color_rope,
+        alpha = alpha_rope
       )
   } else {
     p <- p +

R/plot.binned_residuals.R

@@ -1,6 +1,6 @@
 #' @export
 plot.see_binned_residuals <- function(x,
-                                      size_line = 0.7,
+                                      linewidth = 0.7,
                                       size_point = 2.2,
                                       size_title = 12,
                                       size_axis_title = base_size,
@@ -62,7 +62,7 @@ plot.see_binned_residuals <- function(x,
         se = FALSE,
         formula = y ~ s(x, bs = "tp"),
         colour = colors[3],
-        linewidth = size_line
+        linewidth = linewidth
       )
   }
 
@@ -89,7 +89,7 @@ plot.see_binned_residuals <- function(x,
       ggplot2::geom_point(ggplot2::aes(y = .data$ybar), size = size_point) +
       ggplot2::geom_errorbar(
         ggplot2::aes(ymin = .data$CI_low, ymax = .data$CI_high),
-        linewidth = size_line,
+        linewidth = linewidth,
         width = 0
       )
   } else {
@@ -101,7 +101,7 @@ plot.see_binned_residuals <- function(x,
           ymax = .data$CI_high,
           colour = .data$group
         ),
-        linewidth = size_line,
+        linewidth = linewidth,
         width = 0
       )
   }

R/plot.check_collinearity.R

@@ -19,7 +19,7 @@ plot.see_check_collinearity <- function(x,
                                         data = NULL,
                                         colors = c("#3aaf85", "#1b6ca8", "#cd201f"),
                                         size_point = 3.5,
-                                        size_line = 0.8,
+                                        linewidth = 0.8,
                                         size_title = 12,
                                         size_axis_title = base_size,
                                         base_size = 10,
@@ -53,7 +53,7 @@ plot.see_check_collinearity <- function(x,
   .plot_diag_vif(
     dat,
     size_point = size_point,
-    size_line = size_line,
+    linewidth = linewidth,
     size_title = size_title,
     size_axis_title = size_axis_title,
     base_size = base_size,
@@ -66,7 +66,7 @@ plot.see_check_collinearity <- function(x,
 
 .plot_diag_vif <- function(x,
                            size_point,
-                           size_line,
+                           linewidth,
                            theme_style = theme_lucid,
                            size_title = 12,
                            size_axis_title = 10,
@@ -132,7 +132,7 @@ plot.see_check_collinearity <- function(x,
   if (!is.null(ci_data)) {
     p <- p +
       ggplot2::geom_linerange(
-        linewidth = size_line,
+        linewidth = linewidth,
         na.rm = TRUE
       ) +
       ggplot2::geom_segment(

R/plot.check_heteroscedasticity.R

@@ -8,7 +8,7 @@
 #'
 #' @return A ggplot2-object.
 #'
 #' @seealso See also the vignette about [`check_model()`](https://easystats.github.io/performance/articles/check_model.html).
 #'
 #' @examples
 #' m <- lm(mpg ~ wt + cyl + gear + disp, data = mtcars)
@@ -19,7 +19,7 @@
 plot.see_check_heteroscedasticity <- function(x,
                                               data = NULL,
                                               size_point = 2,
-                                              size_line = 0.8,
+                                              linewidth = 0.8,
                                               size_title = 12,
                                               size_axis_title = base_size,
                                               base_size = 10,
@@ -79,7 +79,7 @@
   .plot_diag_homogeneity(
     dat,
     size_point = size_point,
-    size_line = size_line,
+    linewidth = linewidth,
     base_size = base_size,
     size_title = size_title,
     size_axis_title = size_axis_title,

R/plot.check_homogeneity.R

@@ -133,14 +133,14 @@ plot.see_check_homogeneity <- function(x, data = NULL, ...) {
 
 .plot_diag_homogeneity <- function(x,
                                    size_point,
-                                   size_line,
+                                   linewidth,
                                    alpha_level = 0.2,
                                    theme_style = theme_lucid,
                                    size_title = 12,
                                    size_axis_title = 10,
                                    base_size = 10,
                                    colors = unname(social_colors(c("green", "blue", "red"))),
-                                   dot_alpha_level = 0.8,
+                                   alpha_dot = 0.8,
                                    show_dots = TRUE) {
   p <- ggplot2::ggplot(x, ggplot2::aes(x = .data$x, .data$y))
 
@@ -149,7 +149,7 @@ plot.see_check_homogeneity <- function(x, data = NULL, ...) {
       geom_point2(
         colour = colors[2],
         size = size_point,
-        alpha = dot_alpha_level
+        alpha = alpha_dot
       )
   }
 
@@ -159,7 +159,7 @@ plot.see_check_homogeneity <- function(x, data = NULL, ...) {
       se = TRUE,
       alpha = alpha_level,
       formula = y ~ x,
-      linewidth = size_line,
+      linewidth = linewidth,
       colour = colors[1]
     ) +
     ggplot2::labs(

R/plot.check_model.R

@@ -9,7 +9,7 @@
 #'
 #' @return A ggplot2-object.
 #'
 #' @seealso See also the vignette about [`check_model()`](https://easystats.github.io/performance/articles/check_model.html).
 #'
 #' @examplesIf require("patchwork")
 #' library(performance)
@@ -18,7 +18,7 @@
 #' plot(check_model(model))
 #'
 #' @export
 plot.see_check_model <- function(x,
                                  style = theme_lucid,
                                  colors = NULL,
                                  type = c("density", "discrete_dots", "discrete_interval", "discrete_both"),
@@ -31,14 +31,14 @@
   panel <- attr(x, "panel")
   check <- attr(x, "check")
   size_point <- attr(x, "dot_size")
-  size_line <- attr(x, "line_size")
+  linewidth <- attr(x, "line_size")
   show_labels <- attr(x, "show_labels") %||% TRUE
   size_text <- attr(x, "text_size")
   base_size <- attr(x, "base_size")
   size_axis_title <- attr(x, "axis_title_size")
   size_title <- attr(x, "title_size")
   alpha_level <- attr(x, "alpha")
-  dot_alpha_level <- attr(x, "dot_alpha")
+  alpha_dot <- attr(x, "alpha_dot")
   show_dots <- attr(x, "show_dots")
   detrend <- attr(x, "detrend")
   model_info <- attr(x, "model_info")
@@ -46,7 +46,7 @@
   plot_type <- attr(x, "type")
   model_class <- attr(x, "model_class")
 
   if (missing(type) && !is.null(plot_type) && plot_type %in% c("density", "discrete_dots", "discrete_interval", "discrete_both")) {
     type <- plot_type
   } else {
     type <- match.arg(type)
@@ -73,8 +73,8 @@
     alpha_level <- 0.2
   }
 
-  if (is.null(dot_alpha_level)) {
-    dot_alpha_level <- 0.8
+  if (is.null(alpha_dot)) {
+    alpha_dot <- 0.8
   }
 
   if (is.null(base_size)) {
@@ -101,7 +101,7 @@
     p$PP_CHECK <- plot.see_performance_pp_check(
       x$PP_CHECK,
       style = style,
-      size_line = size_line,
+      linewidth = linewidth,
       size_point = size_point,
       base_size = base_size,
       size_axis_title = size_axis_title,
@@ -117,14 +117,14 @@
     p$NCV <- .plot_diag_linearity(
       x$NCV,
       size_point = size_point,
-      size_line = size_line,
+      linewidth = linewidth,
       alpha_level = alpha_level,
       theme_style = style,
       base_size = base_size,
       size_axis_title = size_axis_title,
       size_title = size_title,
       colors = colors,
-      dot_alpha_level = dot_alpha_level,
+      alpha_dot = alpha_dot,
       show_dots = show_dots
     )
   }
@@ -152,7 +152,7 @@
       size_axis_title = size_axis_title,
       size_title = size_title,
       colors = colors[c(1, 2)],
-      size_line = size_line,
+      linewidth = linewidth,
       type = overdisp_type
     )
   }
@@ -161,14 +161,14 @@
     p$HOMOGENEITY <- .plot_diag_homogeneity(
       x$HOMOGENEITY,
       size_point = size_point,
-      size_line = size_line,
+      linewidth = linewidth,
       alpha_level = alpha_level,
       theme_style = style,
       base_size = base_size,
       size_axis_title = size_axis_title,
       size_title = size_title,
       colors = colors,
-      dot_alpha_level = dot_alpha_level,
+      alpha_dot = alpha_dot,
       show_dots = show_dots
     )
   }
@@ -178,14 +178,14 @@
       x$INFLUENTIAL,
       show_labels = show_labels,
       size_text = size_text,
-      size_line = size_line,
+      linewidth = linewidth,
       size_point = size_point,
       theme_style = style,
       size_axis_title = size_axis_title,
       size_title = size_title,
       base_size = base_size,
       colors = colors,
-      dot_alpha_level = dot_alpha_level,
+      alpha_dot = alpha_dot,
       show_dots = show_dots
     )
   }
@@ -194,7 +194,7 @@
     p$VIF <- .plot_diag_vif(
       x$VIF,
       size_point = 1.5 * size_point,
-      size_line = size_line,
+      linewidth = linewidth,
       theme_style = style,
       base_size = base_size,
       size_axis_title = size_axis_title,
@@ -209,10 +209,10 @@
     if (inherits(x$QQ, "performance_simres")) {
       p$QQ <- plot(
         x$QQ,
-        size_line = size_line,
+        linewidth = linewidth,
         size_point = 0.9 * size_point,
         alpha = alpha_level,
-        dot_alpha = dot_alpha_level,
+        alpha_dot = alpha_dot,
         colors = colors,
         detrend = detrend,
         style = style,
@@ -224,15 +224,15 @@
       p$QQ <- .plot_diag_qq(
         x$QQ,
         size_point = size_point,
-        size_line = size_line,
+        linewidth = linewidth,
         size_axis_title = size_axis_title,
         size_title = size_title,
         alpha_level = alpha_level,
         detrend = detrend,
         theme_style = style,
         base_size = base_size,
         colors = colors,
-        dot_alpha_level = dot_alpha_level,
+        alpha_dot = alpha_dot,
         show_dots = TRUE, # qq-plots w/o dots makes no sense
         model_info = model_info,
         model_class = model_class
@@ -243,7 +243,7 @@
   if ("NORM" %in% names(x) && !is.null(x$NORM) && any(c("normality", "all") %in% check)) {
     p$NORM <- .plot_diag_norm(
       x$NORM,
-      size_line = size_line,
+      linewidth = linewidth,
       alpha_level = alpha_level,
       theme_style = style,
       base_size = base_size,
@@ -257,14 +257,14 @@
     ps <- .plot_diag_reqq(
       x$REQQ,
       size_point,
-      size_line,
+      linewidth,
       size_axis_title = size_axis_title,
       size_title = size_title,
       alpha_level = alpha_level,
       theme_style = style,
       base_size = base_size,
       colors = colors,
-      dot_alpha_level = dot_alpha_level,
+      alpha_dot = alpha_dot,
       show_dots = TRUE # qq-plots w/o dots makes no sense
     )
 
@@ -285,14 +285,14 @@
 
 .plot_diag_linearity <- function(x,
                                  size_point,
-                                 size_line,
+                                 linewidth,
                                  size_axis_title = 10,
                                  size_title = 12,
                                  alpha_level = 0.2,
                                  theme_style = theme_lucid,
                                  base_size = 10,
                                  colors = unname(social_colors(c("green", "blue", "red"))),
-                                 dot_alpha_level = 0.8,
+                                 alpha_dot = 0.8,
                                  show_dots = TRUE) {
   p <- ggplot2::ggplot(x, ggplot2::aes(x = .data$x, y = .data$y))
 
@@ -301,7 +301,7 @@
       geom_point2(
         colour = colors[2],
         size = size_point,
-        alpha = dot_alpha_level
+        alpha = alpha_dot
       )
   }
 
@@ -311,7 +311,7 @@
       se = TRUE,
       formula = y ~ x,
       alpha = alpha_level,
-      linewidth = size_line,
+      linewidth = linewidth,
       colour = colors[1]
     ) +
     ggplot2::geom_hline(yintercept = 0, linetype = "dashed") +