From 5412fafbfe90fc6637cd538ff0c8ce5400feeb0c Mon Sep 17 00:00:00 2001 From: Konrad1991 Date: Tue, 29 Oct 2024 10:51:12 +0100 Subject: [PATCH] added figures for paper --- .lintr | 4 + Paper/.$Overview.drawio.bkp | 113 +++++++++++++ Paper/DecentFitParameterVariance/FigNr1.pdf | Bin 48576 -> 48235 bytes Paper/DecentFitParameterVariance/FigNr1.png | Bin 696692 -> 631540 bytes .../FigNr1_Run_Simulations.R | 64 +++++++- .../FigNr1_Visualisation.R | 34 +++- .../GDA_10_different_seeds.RData | Bin 342340 -> 916631 bytes .../GDA_10_different_seeds_OLD.RData | Bin 0 -> 342340 bytes .../GDA_10_different_seeds_Temp.RData | Bin 0 -> 1261729 bytes Paper/DecentFitParameterVariance/Rplots.pdf | Bin 3830 -> 3830 bytes .../MeasurementVariance/MeasurementVariance.R | 80 ++++----- Paper/MeasurementVariance/dba.RData | Bin 613962 -> 613814 bytes Paper/MeasurementVariance/gda.RData | Bin 543348 -> 594699 bytes Paper/MeasurementVariance/ida.RData | Bin 581601 -> 581499 bytes Paper/MeasurementVariance/variance.png | Bin 255800 -> 270466 bytes Paper/NewGDA/GDA_system_2.txt | 66 ++++++++ Paper/NewGDA/GDA_system_3.txt | 75 +++++++++ Paper/NewGDA/infomation_GDA_system_2.txt | 6 + Paper/NewGDA/infomation_GDA_system_3.txt | 6 + Paper/Overview.drawio | 113 +++++++++++++ Paper/Overview.png | Bin 0 -> 284440 bytes Paper/Regions/3DPlots.R | 82 ++++++++++ Paper/Regions/3DPlotsDataGeneration.R | 154 ++++++++++++++++++ Paper/Regions/ContourPlots.R | 33 ++-- Paper/Regions/ContourPlots.RData | Bin 139610 -> 154462 bytes Paper/Regions/DBA.png | Bin 0 -> 116726 bytes Paper/Regions/DBA_3D.RData | Bin 0 -> 81712 bytes Paper/Regions/FigNr3.R | 4 +- Paper/Regions/FigNr3Part2.png | Bin 488243 -> 766209 bytes Paper/Regions/GDA.png | Bin 0 -> 95030 bytes Paper/Regions/GDA_3D.RData | Bin 0 -> 82458 bytes Paper/Regions/IDA.png | Bin 0 -> 107930 bytes Paper/Regions/IDA_3D.RData | Bin 0 -> 82317 bytes Paper/Sensitivity/ErrorsVsImportantParams.R | 28 +++- 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b/Paper/DecentFitParameterVariance/FigNr1_Run_Simulations.R index 1ac19cc..f3821de 100644 --- a/Paper/DecentFitParameterVariance/FigNr1_Run_Simulations.R +++ b/Paper/DecentFitParameterVariance/FigNr1_Run_Simulations.R @@ -1,12 +1,72 @@ library(tsf) +library(parallel) +num_cores <- detectCores() - 1 # Figure Nr. 1 -# one measured curve & 5 simulated curves (created by vastly different parameter sets) +# one measured curve & 10 curves (created by vastly different parameter sets) # ============================================================ -# Creating the 5 different simulations +# Creating the 10 different simulations # ============================================================ +# GDA new data set +# ============================================================ +gda_new <- function() { + lowerBounds <- c( + kG = 100, + I0 = 0, + IHD = 0, + ID = 100 + ) + # NOTE: upper bounds are set due to results of preliminary runs + upperBounds <- c( + kG = 10^6, + I0 = 10^3, + IHD = 10^10, + ID = 10^6 + ) + additionalParameters <- c( + host = 50 * 10^-6, + guest = 292 * 10^-6, + kHD = 33000 + ) + + # NOTE: data var column [M] + data <- readLines("../NewGDA/GDA_system_3.txt") + var <- lapply(data, function(x) { + strsplit(x, split = "\t")[[1]][1] + }) |> unlist() + signal <- lapply(data, function(x) { + strsplit(x, split = "\t")[[1]][2] + }) |> unlist() + # NOTE: Only the first dataset is used + df <- data.frame(var = var[2:25], signal = signal[2:25]) + df$var <- as.numeric(df$var) + df$signal <- as.numeric(df$signal) + set.seed(1234) + seeds <- sample(1:1e6, 20) + result <- mclapply(seeds, function(seed) { + opti( + case = "gda", + lowerBounds = lowerBounds, + upperBounds = upperBounds, + path = df, + seed = seed, + ngen = 1000, + errorThreshold = 0.6, + additionalParameters = additionalParameters, + add_info = as.character(seed) + ) + }, mc.cores = num_cores) + # Filter the 10 best ones + m <- lapply(result, function(x) x$metrices) + m <- Reduce(rbind, m) + result <- result[order(m[, 1])[1:10]] + save(result, file = "GDA_10_different_seeds.RData") +} +gda_new() +stop() + # GDA # ============================================================ gda <- function() { diff --git a/Paper/DecentFitParameterVariance/FigNr1_Visualisation.R b/Paper/DecentFitParameterVariance/FigNr1_Visualisation.R index fcedf72..31bc3da 100644 --- a/Paper/DecentFitParameterVariance/FigNr1_Visualisation.R +++ b/Paper/DecentFitParameterVariance/FigNr1_Visualisation.R @@ -4,6 +4,15 @@ dotsize <- 0.5 boxplot_size <- 0.5 outlier_size <- 0.5 +calc_errors <- function(df) { + df <- split(df, df$seed) + lapply(df, function(x) { + signal <- x[, 2] + signalInsilico <- x[, 3] + return(sum(abs(signal - signalInsilico) / signal)) + }) |> unlist() +} + sig_plot <- function(case, path, legend = FALSE) { load(path) seeds <- lapply(result, function(x) x$seed) @@ -14,6 +23,20 @@ sig_plot <- function(case, path, legend = FALSE) { }) df <- Reduce(rbind, df) + errors <- calc_errors(df) + errors_df <- data.frame(errors = errors) + p_errors <- ggplot() + + geom_boxplot( + data = errors_df, + aes(x = "", y = errors) + ) + + labs(x = "", y = "rel. Error") + + theme( + axis.text = element_text(size = 5), + axis.title = element_text(size = 5), + ) + + coord_flip() + df_forward_sim <- lapply(seq_len(length(result)), function(idx) { res <- result[[idx]][[1]] params <- result[[idx]][[2]] @@ -66,6 +89,12 @@ sig_plot <- function(case, path, legend = FALSE) { colour = guide_legend(override.aes = list(fill = NA)) ) + p_signal <- plot_grid( + p_signal, p_errors, + nrow = 2, + rel_heights = c(1, 0.3) + ) + if (!legend) { p_signal <- p_signal + theme(legend.position = "none") } @@ -108,6 +137,7 @@ param_plot <- function(path) { strip.text = element_text(size = 6) ) } + empty_plot <- ggplot() + theme_void() size_dashes <- 0.25 @@ -164,10 +194,10 @@ p_param <- ggdraw(p_param) + ) p <- plot_grid(p_signal, p_param, nrow = 2) -ggsave("../FigNr1.pdf", p, +ggsave("FigNr1.pdf", p, width = 8, height = 8 * 2 / 3 ) -ggsave("../FigNr1.png", p, +ggsave("FigNr1.png", p, width = 8, height = 8 * 2 / 3, bg = "white", dpi = 800 ) diff --git 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