Skip nullgrob() since plot generation provides full chunks

This commit is contained in:
2024-10-06 18:16:16 -04:00
parent c6fec56630
commit bc0a7579c8

View File

@@ -597,13 +597,13 @@ generate_and_save_plots <- function(out_dir, filename, plot_configs, page_width
grid_layout$nrow <- ceiling(num_plots / grid_layout$ncol)
}
total_spots <- grid_layout$nrow * grid_layout$ncol
num_plots <- length(static_plots)
# total_spots <- grid_layout$nrow * grid_layout$ncol
# num_plots <- length(static_plots)
if (num_plots < total_spots) {
message("Filling ", total_spots - num_plots, " empty spots with nullGrob()")
static_plots <- c(static_plots, replicate(total_spots - num_plots, nullGrob(), simplify = FALSE))
}
# if (num_plots < total_spots) {
# message("Filling ", total_spots - num_plots, " empty spots with nullGrob()")
# static_plots <- c(static_plots, replicate(total_spots - num_plots, nullGrob(), simplify = FALSE))
# }
grid.arrange(
grobs = static_plots,
@@ -739,9 +739,6 @@ generate_scatter_plot <- function(plot, config) {
slope <- config$lm_line$slope
color <- ifelse(!is.null(config$lm_line$color), config$lm_line$color, "blue")
linewidth <- ifelse(!is.null(config$lm_line$linewidth), config$lm_line$linewidth, 1)
# Ensure none of the values are NA and calculate y-values
if (!is.na(x_min) && !is.na(x_max) && !is.na(intercept) && !is.na(slope)) {
y_min <- intercept + slope * x_min
y_max <- intercept + slope * x_max
@@ -752,8 +749,6 @@ generate_scatter_plot <- function(plot, config) {
# Adjust or skip based on whether the values fall within limits
if (y_min_within_limits && y_max_within_limits) {
# Ensure x-values are also valid
if (!is.na(x_min) && !is.na(x_max)) {
plot <- plot + annotate(
"segment",
x = x_min,
@@ -763,7 +758,6 @@ generate_scatter_plot <- function(plot, config) {
color = color,
linewidth = linewidth
)
}
} else {
message("Skipping linear regression line due to y-values outside of limits")
}
@@ -779,9 +773,6 @@ generate_scatter_plot <- function(plot, config) {
linewidth = linewidth
)
}
} else {
message("Skipping linear regression line due to missing or invalid values")
}
}
# Add SD Bands if specified
@@ -1485,7 +1476,7 @@ main <- function() {
message("Generating quality control plots in parallel")
# future::plan(future::multicore, workers = parallel::detectCores())
future::plan(future::multisession, workers = 3) # generate 3 plots in parallel
future::plan(future::multisession, workers = 3) # generate 3 plot files in parallel
plot_configs <- list(
list(out_dir = out_dir_qc, filename = "L_vs_K_before_quality_control",