Add grid.newpage() to paginate interaction plots
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@@ -7,6 +7,7 @@ suppressMessages({
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library("rlang")
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library("ggthemes")
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library("data.table")
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library("grid")
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library("gridExtra")
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library("future")
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library("furrr")
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@@ -662,11 +663,11 @@ generate_and_save_plots <- function(out_dir, filename, plot_configs, page_width
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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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plotly_plot <- suppressWarnings(plotly::ggplotly(plot))
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# Store both static and interactive versions
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static_plots[[i]] <- plot
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# plotly_plots[[i]] <- plotly_plot
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plotly_plots[[i]] <- plotly_plot
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}
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# Print the plots in the current group to the PDF
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@@ -682,6 +683,7 @@ generate_and_save_plots <- function(out_dir, filename, plot_configs, page_width
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ncol = grid_layout$ncol,
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nrow = grid_layout$nrow
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)
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grid.newpage()
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}
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}
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@@ -1039,7 +1041,7 @@ generate_interaction_plot_configs <- function(df, type) {
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return(list(
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list(grid_layout = list(ncol = 2), plots = stats_plot_configs),
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list(grid_layout = list(ncol = 2), plots = stats_boxplot_configs),
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list(grid_layout = list(ncol = 4), plots = delta_plot_configs[1:12]) # nrow calculated dynamically
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list(grid_layout = list(ncol = 4), plots = delta_plot_configs[1:24]) # nrow calculated dynamically
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))
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}
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@@ -1429,10 +1431,10 @@ main <- function() {
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)
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# Parallelize background and quality control plot generation
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furrr::future_map(plot_configs, function(config) {
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generate_and_save_plots(config$out_dir, config$filename, config$plot_configs,
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page_width = config$page_width, page_height = config$page_height)
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}, .options = furrr_options(seed = TRUE))
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# furrr::future_map(plot_configs, function(config) {
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# generate_and_save_plots(config$out_dir, config$filename, config$plot_configs,
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# page_width = config$page_width, page_height = config$page_height)
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# }, .options = furrr_options(seed = TRUE))
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# Loop over background strains
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# TODO currently only tested against one strain, if we want to do multiple strains we'll
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@@ -1492,7 +1494,7 @@ main <- function() {
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message("Generating reference interaction plots")
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reference_plot_configs <- generate_interaction_plot_configs(df_interactions_reference_joined, "reference")
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generate_and_save_plots(out_dir, "interaction_plots_reference", reference_plot_configs, page_width = 16, page_height = 16)
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generate_and_save_plots(out_dir, "interaction_plots_reference", reference_plot_configs, page_width = 18, page_height = 16)
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message("Setting missing deletion values to the highest theoretical value at each drug conc for L")
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df_deletion <- df_na_stats %>% # formerly X2
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