Allow more arguments to tweak plots

easystats · Mar 26, 2024 · 22cb8c7 · 22cb8c7
1 parent cddf268
commit 22cb8c7
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Showing 17 changed files with 73 additions and 21 deletions.
diff --git a/DESCRIPTION b/DESCRIPTION
@@ -1,7 +1,7 @@
 Type: Package
 Package: see
 Title: Model Visualisation Toolbox for 'easystats' and 'ggplot2'
-Version: 0.8.3.1
+Version: 0.8.3.2
 Authors@R: 
     c(person(given = "Daniel",
              family = "Lüdecke",

diff --git a/NEWS.md b/NEWS.md
@@ -4,6 +4,10 @@
 
 * Small adjustment to size of point geoms for `check_model()` plots.
 
+* More arguments to change base font sizes and geom sizes are now passed to
+  downstream plot-functions (i.e., `plot()` for `check_model()` passes arguments
+  to change geom sizes to the underlying plot-functions).
+
 # see 0.8.3
 
 ## Major changes

diff --git a/R/plot.binned_residuals.R b/R/plot.binned_residuals.R
@@ -1,11 +1,11 @@
-#'
 #' @export
 plot.see_binned_residuals <- function(x,
                                       size_line = 0.7,
                                       size_point = 2.2,
                                       colors = social_colors(c("blue", "red", "green")),
                                       show_smooth = FALSE,
                                       style = theme_lucid,
+                                      base_size = 10,
                                       ...) {
   x$se.lo <- -x$se
   if (length(unique(x$group)) > 1L) {
@@ -106,7 +106,7 @@ plot.see_binned_residuals <- function(x,
 
   if (isTRUE(dots[["check_model"]])) {
     p <- p + theme_style(
-      base_size = 10,
+      base_size = base_size,
       plot.title.space = 3,
       axis.title.space = 5
     )

diff --git a/R/plot.check_collinearity.R b/R/plot.check_collinearity.R
@@ -20,6 +20,7 @@ plot.see_check_collinearity <- function(x,
                                         colors = c("#3aaf85", "#1b6ca8", "#cd201f"),
                                         size_point = 3.5,
                                         size_line = 0.8,
+                                        base_size = 10,
                                         ...) {
   if (is.null(data)) {
     dat <- insight::compact_list(.retrieve_data(x))
@@ -51,6 +52,7 @@ plot.see_check_collinearity <- function(x,
     dat,
     size_point = size_point,
     size_line = size_line,
+    base_size = base_size,
     colors = colors,
     ci_data = attributes(x)$CI,
     is_check_model = FALSE
@@ -62,6 +64,7 @@ plot.see_check_collinearity <- function(x,
                            size_point,
                            size_line,
                            theme_style = theme_lucid,
+                           base_size = 10,
                            colors = unname(social_colors(c("green", "blue", "red"))),
                            ci_data = NULL,
                            is_check_model = FALSE) {
@@ -161,7 +164,7 @@ plot.see_check_collinearity <- function(x,
       guide = ggplot2::guide_legend(title = NULL)
     ) +
     theme_style(
-      base_size = 10,
+      base_size = base_size,
       plot.title.space = 3,
       axis.title.space = 5
     ) +

diff --git a/R/plot.check_heteroscedasticity.R b/R/plot.check_heteroscedasticity.R
@@ -15,7 +15,7 @@
 #' result
 #' plot(result, data = m) # data required for pkgdown
 #' @export
-plot.see_check_heteroscedasticity <- function(x, data = NULL, ...) {
+plot.see_check_heteroscedasticity <- function(x, data = NULL, size_point = 2, size_line = 0.8, base_size = 10, ...) {
   if (is.null(data)) {
     model <- .retrieve_data(x)
   } else {
@@ -68,7 +68,7 @@ plot.see_check_heteroscedasticity <- function(x, data = NULL, ...) {
     x = stats::fitted(model),
     y = sqrt(abs(r))
   )
-  .plot_diag_homogeneity(dat, size_point = 2, size_line = 0.8, ...)
+  .plot_diag_homogeneity(dat, size_point = size_point, size_line = size_line, base_size = base_size, ...)
 }
 
 

diff --git a/R/plot.check_homogeneity.R b/R/plot.check_homogeneity.R
@@ -134,6 +134,7 @@ plot.see_check_homogeneity <- function(x, data = NULL, ...) {
                                    size_line,
                                    alpha_level = 0.2,
                                    theme_style = theme_lucid,
+                                   base_size = 10,
                                    colors = unname(social_colors(c("green", "blue", "red"))),
                                    dot_alpha_level = 0.8,
                                    show_dots = TRUE) {
@@ -164,7 +165,7 @@ plot.see_check_homogeneity <- function(x, data = NULL, ...) {
       x = "Fitted values"
     ) +
     theme_style(
-      base_size = 10,
+      base_size = base_size,
       plot.title.space = 3,
       axis.title.space = 5
     )

diff --git a/R/plot.check_model.R b/R/plot.check_model.R
@@ -34,6 +34,7 @@ plot.see_check_model <- function(x,
   size_line <- attr(x, "line_size")
   show_labels <- attr(x, "show_labels") %||% TRUE
   size_text <- attr(x, "text_size")
+  base_size <- attr(x, "base_size")
   alpha_level <- attr(x, "alpha")
   dot_alpha_level <- attr(x, "dot_alpha")
   show_dots <- attr(x, "show_dots")
@@ -74,6 +75,10 @@ plot.see_check_model <- function(x,
     dot_alpha_level <- 0.8
   }
 
+  if (is.null(base_size)) {
+    base_size <- 10
+  }
+
   if (is.null(check)) {
     check <- "all"
   }
@@ -88,6 +93,7 @@ plot.see_check_model <- function(x,
       style = style,
       size_line = size_line,
       size_point = size_point,
+      base_size = base_size,
       type = type,
       check_model = TRUE,
       adjust_legend = TRUE,
@@ -102,6 +108,7 @@ plot.see_check_model <- function(x,
       size_line,
       alpha_level,
       theme_style = style,
+      base_size = base_size,
       colors = colors,
       dot_alpha_level = dot_alpha_level,
       show_dots = show_dots
@@ -113,6 +120,7 @@ plot.see_check_model <- function(x,
     p$BINNED_RESID <- plot.see_binned_residuals(
       x$BINNED_RESID,
       style = style,
+      base_size = base_size,
       colors = colors[c(2, 3, 1)],
       adjust_legend = TRUE,
       check_model = TRUE,
@@ -124,6 +132,7 @@ plot.see_check_model <- function(x,
     p$OVERDISPERSION <- .plot_diag_overdispersion(
       x$OVERDISPERSION,
       style = style,
+      base_size = base_size,
       colors = colors[c(1, 2)],
       size_line = size_line,
       type = overdisp_type
@@ -137,6 +146,7 @@ plot.see_check_model <- function(x,
       size_line,
       alpha_level,
       theme_style = style,
+      base_size = base_size,
       colors = colors,
       dot_alpha_level = dot_alpha_level,
       show_dots = show_dots
@@ -151,6 +161,7 @@ plot.see_check_model <- function(x,
       size_line = size_line,
       size_point = size_point,
       theme_style = style,
+      base_size = base_size,
       colors = colors,
       dot_alpha_level = dot_alpha_level,
       show_dots = show_dots
@@ -163,6 +174,7 @@ plot.see_check_model <- function(x,
       size_point = 1.5 * size_point,
       size_line = size_line,
       theme_style = style,
+      base_size = base_size,
       colors = colors,
       ci_data = attributes(x$VIF)$CI,
       is_check_model = TRUE
@@ -179,7 +191,8 @@ plot.see_check_model <- function(x,
         dot_alpha = dot_alpha_level,
         colors = colors,
         detrend = detrend,
-        style = style
+        style = style,
+        base_size = base_size
       )
     } else {
       p$QQ <- .plot_diag_qq(
@@ -189,6 +202,7 @@ plot.see_check_model <- function(x,
         alpha_level = alpha_level,
         detrend = detrend,
         theme_style = style,
+        base_size = base_size,
         colors = colors,
         dot_alpha_level = dot_alpha_level,
         show_dots = TRUE, # qq-plots w/o dots makes no sense
@@ -204,6 +218,7 @@ plot.see_check_model <- function(x,
       size_line,
       alpha_level = alpha_level,
       theme_style = style,
+      base_size = base_size,
       colors = colors
     )
   }
@@ -215,6 +230,7 @@ plot.see_check_model <- function(x,
       size_line,
       alpha_level = alpha_level,
       theme_style = style,
+      base_size = base_size,
       colors = colors,
       dot_alpha_level = dot_alpha_level,
       show_dots = TRUE # qq-plots w/o dots makes no sense
@@ -240,6 +256,7 @@ plot.see_check_model <- function(x,
                                  size_line,
                                  alpha_level = 0.2,
                                  theme_style = theme_lucid,
+                                 base_size = 10,
                                  colors = unname(social_colors(c("green", "blue", "red"))),
                                  dot_alpha_level = 0.8,
                                  show_dots = TRUE) {
@@ -271,7 +288,7 @@ plot.see_check_model <- function(x,
       subtitle = "Reference line should be flat and horizontal"
     ) +
     theme_style(
-      base_size = 10,
+      base_size = base_size,
       plot.title.space = 3,
       axis.title.space = 5
     )

diff --git a/R/plot.check_normality.R b/R/plot.check_normality.R
@@ -19,6 +19,7 @@
 #'   be one of `"pointwise"` or `"boot"` for pointwise confidence bands, or
 #'   `"ks"` or `"ts"` for simultaneous testing. See `qqplotr::stat_qq_band()`
 #'   for details.
+#' @param base_size Base font size for plots.
 #' @inheritParams data_plot
 #' @inheritParams plot.see_bayesfactor_parameters
 #'
@@ -44,6 +45,7 @@ plot.see_check_normality <- function(x,
                                      size_point = 2,
                                      alpha = 0.2,
                                      dot_alpha = 0.8,
+                                     base_size = 10,
                                      colors = c("#3aaf85", "#1b6ca8"),
                                      detrend = TRUE,
                                      method = "ell",
@@ -91,6 +93,7 @@ plot.see_check_normality <- function(x,
           dot_alpha = dot_alpha,
           colors = colors,
           detrend = detrend,
+          base_size = base_size,
           transform = stats::qnorm,
           ...
         ))
@@ -128,14 +131,15 @@ plot.see_check_normality <- function(x,
         mean(r),
         stats::sd(r)
       )
-      .plot_diag_norm(dat, size_line = size_line)
+      .plot_diag_norm(dat, size_line = size_line, alpha_level = alpha, base_size = base_size)
     } else if (type == "pp") {
       x <- suppressMessages(sort(stats::residuals(model), na.last = NA))
       dat <- data.frame(res = x)
       .plot_diag_pp(
         dat,
         size_point = size_point,
         size_line = size_line,
+        base_size = base_size,
         alpha_level = alpha,
         detrend = detrend,
         dot_alpha_level = dot_alpha,
@@ -152,6 +156,7 @@ plot.see_check_normality <- function(x,
                             size_line,
                             alpha_level = 0.2,
                             theme_style = theme_lucid,
+                            base_size = 10,
                             colors = unname(social_colors(c("green", "blue", "red")))) {
   ggplot2::ggplot(x, ggplot2::aes(x = .data$x)) +
     ggplot2::geom_ribbon(
@@ -174,7 +179,7 @@ plot.see_check_normality <- function(x,
       subtitle = "Distribution should be close to the normal curve"
     ) +
     theme_style(
-      base_size = 10,
+      base_size = base_size,
       plot.title.space = 3,
       axis.title.space = 5
     ) +
@@ -191,6 +196,7 @@ plot.see_check_normality <- function(x,
                           detrend = FALSE,
                           method = "ell",
                           theme_style = theme_lucid,
+                          base_size = 10,
                           colors = unname(social_colors(c("green", "blue", "red"))),
                           dot_alpha_level = 0.8,
                           show_dots = TRUE,
@@ -293,7 +299,7 @@ plot.see_check_normality <- function(x,
       x = "Standard Normal Distribution Quantiles"
     ) +
     theme_style(
-      base_size = 10,
+      base_size = base_size,
       plot.title.space = 3,
       axis.title.space = 5
     )
@@ -309,6 +315,7 @@ plot.see_check_normality <- function(x,
                           detrend = FALSE,
                           method = "ell",
                           theme_style = theme_lucid,
+                          base_size = 10,
                           colors = unname(social_colors(c("green", "blue", "red"))),
                           dot_alpha_level = 0.8) {
   if (requireNamespace("qqplotr", quietly = TRUE)) {
@@ -361,7 +368,7 @@ plot.see_check_normality <- function(x,
       x = "Standard Normal Cumulative Probability"
     ) +
     theme_style(
-      base_size = 10,
+      base_size = base_size,
       plot.title.space = 3,
       axis.title.space = 5
     )
@@ -376,6 +383,7 @@ plot.see_check_normality <- function(x,
                             panel = TRUE,
                             alpha_level = 0.2,
                             theme_style = theme_lucid,
+                            base_size = 10,
                             colors = unname(social_colors(c("green", "blue", "red"))),
                             dot_alpha_level = 0.8,
                             show_dots = TRUE) {
@@ -402,7 +410,7 @@ plot.see_check_normality <- function(x,
         alpha = dot_alpha_level
       ) +
       theme_style(
-        base_size = 10,
+        base_size = base_size,
         plot.title.space = 3,
         axis.title.space = 5
       )

diff --git a/R/plot.check_outliers_new.R b/R/plot.check_outliers_new.R
@@ -7,6 +7,7 @@
                                     size_point = 2,
                                     size_text = NULL,
                                     theme_style = theme_lucid,
+                                    base_size = 10,
                                     colors = unname(social_colors(c("green", "blue grey", "red"))),
                                     dot_alpha_level = 0.8,
                                     show_dots = TRUE) {
@@ -48,7 +49,8 @@
       method = "loess",
       na.rm = na.rm,
       se = FALSE,
-      color = colors[1]
+      color = colors[1],
+      linewidth = size_line
     ) +
     scale_colour_manual(values = c(OK = colors[2], Influential = colors[3])) +
     (if (isTRUE(show_labels)) {
@@ -134,7 +136,7 @@
 
     p <- p +
       .cook_lines +
-      theme_style(base_size = 10, plot.title.space = 3, axis.title.space = 5) +
+      theme_style(base_size = base_size, plot.title.space = 3, axis.title.space = 5) +
       guides(colour = "none", text = "none")
   }
 

diff --git a/R/plot.check_overdisp.R b/R/plot.check_overdisp.R
@@ -16,6 +16,7 @@ plot.see_check_overdisp <- function(x,
 
 .plot_diag_overdispersion <- function(x,
                                       theme_style = theme_lucid,
+                                      base_size = 10,
                                       colors = c("#3aaf85", "#1b6ca8"),
                                       size_line = 0.8,
                                       type = 1,
@@ -32,7 +33,7 @@ plot.see_check_overdisp <- function(x,
         y = "Residual variance"
       ) +
       theme_style(
-        base_size = 10,
+        base_size = base_size,
         plot.title.space = 3,
         axis.title.space = 5
       )
@@ -52,7 +53,7 @@ plot.see_check_overdisp <- function(x,
         y = "Standardized resiuduals"
       ) +
       theme_style(
-        base_size = 10,
+        base_size = base_size,
         plot.title.space = 3,
         axis.title.space = 5
       )