Use WT values for error bars
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@@ -463,9 +463,21 @@ generate_and_save_plots <- function(out_dir, filename, plot_configs) {
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# Add error bars if specified
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if (!is.null(config$error_bar) && config$error_bar) {
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error_bar_color <- config$error_bar_params$color %||% "red"
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y_mean_col <- paste0("mean_", config$y_var)
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y_sd_col <- paste0("sd_", config$y_var)
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error_bar_color <- if (!is.null(config$error_bar_params$color)) {
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config$error_bar_params$color
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} else {
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"red"
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}
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y_mean_col <- paste0("mean_mean_", config$y_var)
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# Dynamically set y_sd_col based on the provided prefix in error_bar_params
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y_sd_prefix <- if (!is.null(config$error_bar_params$y_sd_prefix)) {
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config$error_bar_params$y_sd_prefix
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} else {
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"sd_"
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}
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y_sd_col <- paste0(y_sd_prefix, config$y_var)
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if (!is.null(config$error_bar_params$center_point)) {
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plot <- plot + geom_point(aes(
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@@ -489,6 +501,8 @@ generate_and_save_plots <- function(out_dir, filename, plot_configs) {
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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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@@ -511,19 +525,18 @@ generate_and_save_plots <- function(out_dir, filename, plot_configs) {
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nrow = grid_layout$nrow
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)
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}
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}
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# Close the PDF device after all plots are done
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dev.off()
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# Save HTML file with interactive plots if needed
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# out_html_file <- file.path(out_dir, paste0(filename, ".html"))
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# message("Saving combined HTML file: ", out_html_file)
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# htmltools::save_html(
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# htmltools::tagList(plotly_plots),
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# file = out_html_file
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# )
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out_html_file <- file.path(out_dir, paste0(filename, ".html"))
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message("Saving combined HTML file: ", out_html_file)
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htmltools::save_html(
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htmltools::tagList(plotly_plots),
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file = out_html_file
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)
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}
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generate_scatter_plot <- function(plot, config) {
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@@ -650,7 +663,7 @@ generate_scatter_plot <- function(plot, config) {
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label = annotation$label,
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hjust = ifelse(is.null(annotation$hjust), 0.5, annotation$hjust),
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vjust = ifelse(is.null(annotation$vjust), 0.5, annotation$vjust),
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size = ifelse(is.null(annotation$size), 6, annotation$size),
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size = ifelse(is.null(annotation$size), 3, annotation$size),
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color = ifelse(is.null(annotation$color), "black", annotation$color)
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)
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}
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@@ -759,6 +772,7 @@ generate_interaction_plot_configs <- function(df, type) {
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plot_config$title <- sprintf("%s Scatter RF for %s with SD", OrfRep, var)
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plot_config$error_bar <- TRUE
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plot_config$error_bar_params <- list(
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y_sd_prefix = "WT_sd_",
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color = "red",
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center_point = TRUE
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)
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@@ -1442,6 +1442,7 @@ wrapper calculate_interaction_zscores
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# * We are using standard error bars using the same se values as the data now (includes Bessel's correction)
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# * Plate analysis error bars and some others will be slightly different
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# * Can be changed back but better to have plots reflect data, no?
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# * Dynamically generate axis limits based on data (if desired)
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#
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# INPUT
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#
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