# #!/usr/bin/env Rscript # working dir and loading libraries getwd() setwd("~/git/LSHTM_analysis/scripts/functions/") getwd() # infile_params = paste0(outdir, "/" , tolower(gene), "_comb_afor.csv") # infile_metadata = paste0(outdir, "/", tolower(gene), "_metadata") # # # source("combining_dfs_plotting_func.R") # #################################################################### # in_file_params = "~/git/Data/streptomycin/output/gid_comb_afor.csv" # in_file_metadata = "~/git/Data/streptomycin/output/gid_metadata.csv" # # all_plot_dfs = combining_dfs_plotting(df1_mcsm_comb = infile_params # , df2_gene_metadata = infile_metadata # , lig_dist_colname = 'ligand_distance' # , lig_dist_cutoff = 10) # # merged_df2 = all_plot_dfs[[1]] # merged_df3 = all_plot_dfs[[2]] # merged_df2_comp = all_plot_dfs[[3]] # merged_df3_comp = all_plot_dfs[[4]] # merged_df2_lig = all_plot_dfs[[5]] # merged_df3_lig = all_plot_dfs[[6]] # # bar_colnames = data.frame(colnames(merged_df2)) ########################################################### source("plotting_globals.R") source("plotting_data.R") source("combining_dfs_plotting.R") gene = 'gid' drug = 'streptomycin' #--------------------- # call: import_dirs() #--------------------- import_dirs(drug, gene) if (!exists("infile_params") && exists("gene")){ #if (!is.character(infile_params) && exists("gene")){ #in_filename_params = paste0(tolower(gene), "_all_params.csv") in_filename_params = paste0(tolower(gene), "_comb_afor.csv") # part combined for gid infile_params = paste0(outdir, "/", in_filename_params) cat("\nInput file for mcsm comb data not specified, assuming filename: ", infile_params, "\n") } if (!exists("infile_metadata") && exists("gene")){ #if (!is.character(infile_params) && exists("gene")){{ in_filename_metadata = paste0(tolower(gene), "_metadata.csv") # part combined for gid infile_metadata = paste0(outdir, "/", in_filename_metadata) cat("\nInput file for gene metadata not specified, assuming filename: ", infile_metadata, "\n") } #============================ # Input 1: plotting_data() #============================ #--------------------- # call: plotting_data() #--------------------- pd_df = plotting_data(infile_params) my_df = pd_df[[1]] # this forms one of the input for combining_dfs_plotting() #====================================== # Input 2: read _meta data.csv #====================================== cat("\nReading meta data file:", infile_metadata) gene_metadata <- read.csv(infile_metadata , stringsAsFactors = F , header = T) all_plot_dfs = combining_dfs_plotting(my_df_u , gene_metadata , lig_dist_colname = 'ligand_distance' , lig_dist_cutoff = 10) merged_df2 = all_plot_dfs[[1]] merged_df3 = all_plot_dfs[[2]] merged_df2_comp = all_plot_dfs[[3]] merged_df3_comp = all_plot_dfs[[4]] merged_df2_lig = all_plot_dfs[[5]] merged_df3_lig = all_plot_dfs[[6]]