Restore default aes colors
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@@ -151,7 +151,7 @@ load_and_filter_data <- function(easy_results_file, sd = 3) {
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OrfRep = if_else(ORF == "YDL227C", "YDL227C", OrfRep), # should these be hardcoded?
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conc_num = as.numeric(gsub("[^0-9\\.]", "", Conc)),
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conc_num_factor = as.numeric(as.factor(conc_num)) - 1, # for legacy purposes
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conc_num_factor_factor = factor(conc_num)
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conc_num_factor_factor = as.factor(conc_num)
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)
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return(df)
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@@ -405,12 +405,23 @@ generate_and_save_plots <- function(out_dir, filename, plot_configs) {
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# Define aes_mapping and handle color_var defaulting
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aes_mapping <- if (config$plot_type == "bar") {
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aes(x = .data[[config$x_var]], fill = ifelse(!is.null(config$color_var), .data[[config$color_var]], "black"),
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color = ifelse(!is.null(config$color_var), .data[[config$color_var]], "black"))
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if (!is.null(config$color_var)) {
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aes(x = .data[[config$x_var]], fill = .data[[config$color_var]], color = .data[[config$color_var]])
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} else {
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aes(x = .data[[config$x_var]])
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}
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} else if (config$plot_type == "density") {
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aes(x = .data[[config$x_var]], color = ifelse(!is.null(config$color_var), .data[[config$color_var]], "black"))
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if (!is.null(config$color_var)) {
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aes(x = .data[[config$x_var]], color = .data[[config$color_var]])
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} else {
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aes(x = .data[[config$x_var]])
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}
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} else {
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aes(x = .data[[config$x_var]], y = .data[[config$y_var]], color = ifelse(!is.null(config$color_var), .data[[config$color_var]], "black"))
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if (!is.null(config$color_var)) {
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aes(x = .data[[config$x_var]], y = .data[[config$y_var]], color = .data[[config$color_var]])
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} else {
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aes(x = .data[[config$x_var]], y = .data[[config$y_var]])
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}
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}
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# Apply theme_publication with legend_position
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@@ -451,7 +462,11 @@ generate_and_save_plots <- function(out_dir, filename, plot_configs) {
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dev.off()
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# Save combined interactive HTML plots
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combined_plot <- plotly::subplot(plotly_plots, nrows = grid_nrow, ncols = grid_ncol, margin = 0.05)
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if (length(plotly_plots) == 1) {
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combined_plot <- plotly_plots[[1]]
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} else {
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combined_plot <- plotly::subplot(plotly_plots, nrows = grid_nrow, ncols = grid_ncol, margin = 0.05)
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}
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html_file <- file.path(out_dir, paste0(filename, ".html"))
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saveWidget(combined_plot, file = html_file, selfcontained = TRUE)
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}
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