spurious(?) viewport-too-small error with new ggplot2 version 3.5.0 (#…

…328)

* spurious(?) viewport-too-small error with new ggplot2 version 3.5.0

* version

* fix

DESCRIPTION

@@ -1,7 +1,7 @@
 Type: Package
 Package: see
 Title: Model Visualisation Toolbox for 'easystats' and 'ggplot2'
-Version: 0.8.2.3
+Version: 0.8.2.4
 Authors@R: 
     c(person(given = "Daniel",
              family = "Lüdecke",

R/plot.check_heteroscedasticity.R

@@ -39,6 +39,10 @@ plot.see_check_heteroscedasticity <- function(x, data = NULL, ...) {
       stats::rstandard(model)
     },
     error = function(e) {
+      # debugging
+      if (getOption("easystats_erros", FALSE)) {
+        insight::format_error(e$message)
+      }
       NULL
     }
   )

R/plot.estimate_density.R

@@ -23,7 +23,7 @@ data_plot.estimate_density <- function(x,
   # summary
   split_columns <- intersect(c("Parameter", "Effects", "Component"), colnames(dataplot))
   datasplit <- split(dataplot, dataplot[split_columns])
-  summary <- do.call(rbind, insight::compact_list(lapply(datasplit, function(i) {
+  my_summary <- do.call(rbind, insight::compact_list(lapply(datasplit, function(i) {
     if (length(i$x) > 0L) {
       Estimate <- as.numeric(bayestestR::point_estimate(i$x, centrality = centrality))
       CI <- as.numeric(bayestestR::ci(i$x, ci = ci))
@@ -46,10 +46,10 @@ data_plot.estimate_density <- function(x,
     out
   })))
 
-  summary$Parameter <- factor(summary$Parameter)
-  summary$Parameter <- factor(summary$Parameter, levels = levels(dataplot$Parameter))
+  my_summary$Parameter <- factor(my_summary$Parameter)
+  my_summary$Parameter <- factor(my_summary$Parameter, levels = levels(dataplot$Parameter))
 
-  attr(dataplot, "summary") <- summary
+  attr(dataplot, "summary") <- my_summary
   attr(dataplot, "info") <- list(
     xlab = "Values",
     ylab = "Density",
@@ -112,9 +112,7 @@ plot.see_estimate_density <- function(x,
                                       ...) {
   # save model for later use
   model <- tryCatch(
-    {
-      .retrieve_data(x)
-    },
+    .retrieve_data(x),
     error = function(e) {
       priors <- FALSE
       NULL
@@ -139,7 +137,7 @@ plot.see_estimate_density <- function(x,
   params <- unique(x$y)
 
   # get labels
-  labels <- .clean_parameter_names(x$Parameter, grid = !is.null(n_columns))
+  parameter_labels <- .clean_parameter_names(x$Parameter, grid = !is.null(n_columns))
 
   # remove intercept from output, if requested
   x <- .remove_intercept(x, show_intercept = show_intercept)
@@ -148,7 +146,7 @@ plot.see_estimate_density <- function(x,
     p <- ggplot(x, aes(x = .data$x, y = .data$y, color = .data$Parameter)) +
       geom_line(linewidth = size_line) +
       add_plot_attributes(x) +
-      scale_color_flat(labels = labels)
+      scale_color_flat(labels = parameter_labels)
   } else {
     p <- ggplot(x, aes(x = .data$x, y = .data$Parameter, height = .data$y))
 
@@ -184,13 +182,13 @@ plot.see_estimate_density <- function(x,
         scale_color_manual(values = unname(social_colors("grey")))
     }
 
-    summary <- attributes(x)$summary
-    summary <- .remove_intercept(summary, show_intercept = show_intercept)
-    summary$y <- NA
+    my_summary <- attributes(x)$summary
+    my_summary <- .remove_intercept(my_summary, show_intercept = show_intercept)
+    my_summary$y <- NA
 
     p <- p +
       geom_errorbarh(
-        data = summary,
+        data = my_summary,
         mapping = aes(
           xmin = .data$CI_low,
           xmax = .data$CI_high,
@@ -199,7 +197,7 @@ plot.see_estimate_density <- function(x,
         linewidth = size_line
       ) +
       geom_point(
-        data = summary,
+        data = my_summary,
         mapping = aes(x = .data$x, color = "Posterior"),
         size = size_point,
         fill = "white",
@@ -213,7 +211,7 @@ plot.see_estimate_density <- function(x,
   if (length(unique(x$Parameter)) == 1 || isTRUE(stack)) {
     p <- p + scale_y_continuous(breaks = NULL, labels = NULL)
   } else {
-    p <- p + scale_y_discrete(labels = labels)
+    p <- p + scale_y_discrete(labels = parameter_labels)
   }
 
 
@@ -252,7 +250,7 @@ plot.see_estimate_density_df <- function(x,
                                          size_line = 0.9,
                                          ...) {
   x$Parameter <- factor(x$Parameter, levels = rev(unique(x$Parameter)))
-  labels <- stats::setNames(levels(x$Parameter), levels(x$Parameter))
+  parameter_labels <- stats::setNames(levels(x$Parameter), levels(x$Parameter))
 
   if (stack) {
     p <- ggplot(x, aes(x = .data$x, y = .data$y, color = .data$Parameter)) +
@@ -268,7 +266,7 @@ plot.see_estimate_density_df <- function(x,
   if (length(unique(x$Parameter)) == 1 || isTRUE(stack)) {
     p <- p + scale_y_continuous(breaks = NULL, labels = NULL)
   } else {
-    p <- p + scale_y_discrete(labels = labels)
+    p <- p + scale_y_discrete(labels = parameter_labels)
   }
 
   if (length(unique(x$Parameter)) == 1L) {

R/plot.point_estimates.R

@@ -20,12 +20,10 @@ data_plot.point_estimate <- function(x, data = NULL, ...) {
   }
 
   data <- tryCatch(
-    {
-      if (!is.null(x$Parameter)) {
-        data[, x$Parameter, drop = FALSE]
-      } else {
-        data
-      }
+    if (!is.null(x$Parameter)) {
+      data[, x$Parameter, drop = FALSE]
+    } else {
+      data
     },
     error = function(e) {
       data
@@ -36,10 +34,10 @@ data_plot.point_estimate <- function(x, data = NULL, ...) {
   if (is.null(centrality)) centrality <- "all"
 
   dataplot <- lapply(colnames(data), function(i) {
-    dist <- data[[i]]
+    my_dist <- data[[i]]
 
-    pe <- bayestestR::point_estimate(dist, centrality = "all")
-    dat <- as.data.frame(stats::density(dist, n = 256))
+    pe <- bayestestR::point_estimate(my_dist, centrality = "all")
+    dat <- as.data.frame(stats::density(my_dist, n = 256))
     dat$group <- i
 
     if (any(centrality %in% c("all", "mean"))) {

R/plots.R

@@ -99,14 +99,18 @@ plots <- function(...,
 
 .safe_print_plots <- function(pw, ...) {
   pw_drawn <- tryCatch(print(pw), error = function(e) e)
+  # for debugging, return original error
+  if (getOption("easystats_erros", FALSE)) {
+    insight::format_error(pw_drawn$message)
+  }
   if (inherits(pw_drawn, "simpleError")) {
     msg_display1 <- "\n- To fix this issue, please make the window larger."
-    msg_display3 <- "\n- If this still doesn't resolve your problems, you may check whether your apps are rescaled. On Windows, this can be done in the display settings (Start > Settings > System > Display, \"Scale and layout\"). Reduce the scaling and try again."
-    msg_display4 <- "\n- Finally, you can try to decrease the base font-size of your theme before plotting. Load `library(ggplot2)` and run: `theme_set(theme_classic(base_size = 6))`"
+    msg_display3 <- "\n- If this still doesn't resolve your problems, you may check whether your apps are rescaled. On Windows, this can be done in the display settings (Start > Settings > System > Display, \"Scale and layout\"). Reduce the scaling and try again." # nolint
+    msg_display4 <- "\n- Finally, you can try to decrease the base font-size of your theme before plotting. Load `library(ggplot2)` and run: `theme_set(theme_classic(base_size = 6))`" # nolint
 
     if (Sys.getenv("RSTUDIO") == "1") {
       msg <- "The RStudio 'Plots' window is too small to show this set of plots."
-      msg_display2 <- "\n- If this doesn't help, try to reset your zoom settings. In RStudio, go to Menu \"View > Actual Size\" and then retry."
+      msg_display2 <- "\n- If this doesn't help, try to reset your zoom settings. In RStudio, go to Menu \"View > Actual Size\" and then retry." # nolint
     } else {
       msg <- "The viewport is too small to show this set of plots."
       msg_display2 <- "\n- If this doesn't help, try to reset the zoom settings of your IDE and then retry."