Mask R-squared annotation
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@@ -703,6 +703,16 @@ generate_and_save_plots <- function(out_dir, filename, plot_configs, page_width
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# Add the center point if the option is provided
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if (!is.null(config$error_bar_params$mean_point) && config$error_bar_params$mean_point) {
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if (!is.null(config$color_var) && is.null(config$error_bar_params$color)) {
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plot <- plot + geom_point(
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aes(
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x = .data[[config$x_var]],
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y = .data[[y_mean_col]],
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color = .data[[config$color_var]]
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),
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shape = 16
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)
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} else {
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plot <- plot + geom_point(
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aes(
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x = .data[[config$x_var]],
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@@ -713,6 +723,7 @@ generate_and_save_plots <- function(out_dir, filename, plot_configs, page_width
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)
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}
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}
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}
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# Convert ggplot to plotly for interactive version
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plotly_plot <- suppressWarnings(plotly::ggplotly(plot))
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@@ -1068,7 +1079,7 @@ generate_interaction_plot_configs <- function(df_summary, df_interaction, type)
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annotations = list(
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list(x = 1, y = y_limits[2] - 0.1 * y_span, label = paste(" ZShift =", round(Z_Shift_value, 2))),
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list(x = 1, y = y_limits[2] - 0.2 * y_span, label = paste(" lm ZScore =", round(Z_lm_value, 2))),
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list(x = 1, y = y_limits[2] - 0.3 * y_span, label = paste(" R-squared =", round(R_squared_value, 2))),
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# list(x = 1, y = y_limits[2] - 0.3 * y_span, label = paste(" R-squared =", round(R_squared_value, 2))),
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list(x = 1, y = y_limits[1] + 0.1 * y_span, label = paste("NG =", NG_value)),
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list(x = 1, y = y_limits[1] + 0.05 * y_span, label = paste("DB =", DB_value)),
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list(x = 1, y = y_limits[1], label = paste("SM =", SM_value))
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