Copy original theme eactly and apply to plots
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@@ -93,10 +93,9 @@ theme_publication <- function(base_size = 14, base_family = "sans", legend_posit
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theme(
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plot.title = element_text(face = "bold", size = rel(1.2), hjust = 0.5),
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text = element_text(),
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panel.border = element_rect(colour = NA),
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panel.background = element_rect(colour = NA),
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panel.border = element_rect(colour = NA),
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plot.background = element_rect(colour = NA),
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panel.border = element_rect(colour = NA),
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axis.title = element_text(face = "bold", size = rel(1)),
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axis.title.y = element_text(angle = 90, vjust = 2),
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axis.title.x = element_text(vjust = -0.2),
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@@ -108,7 +107,7 @@ theme_publication <- function(base_size = 14, base_family = "sans", legend_posit
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legend.key = element_rect(colour = NA),
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legend.position = legend_position,
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legend.direction = ifelse(legend_position == "right", "vertical", "horizontal"),
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legend.key.size = unit(0.2, "cm"),
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legend.key.size = unit(0.5, "cm"),
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legend.spacing = unit(0, "cm"),
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legend.title = element_text(face = "italic"),
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plot.margin = unit(c(10, 5, 5, 5), "mm"),
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@@ -395,7 +394,7 @@ generate_and_save_plots <- function(out_dir, filename, plot_configs, grid_layout
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}
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# Start building the plot with aes_mapping
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plot_base <- ggplot(df, aes_mapping)
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plot_base <- ggplot(df, aes_mapping) + theme_publication()
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# Use appropriate helper function based on plot type
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plot <- switch(config$plot_type,
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