##################### # combining_two_df.R ##################### orig_col ==> df_ncols Mutationinformation ==> mutationinformation Position ==> position DUET_outcome ==> duet_outcome Lig_outcome ==> ligand_outcome infile ==> infile_params in_filename_comb ==> in_filename_metadata meta_with_afor ==> gene_metadata #!!!!!!!!! # FIXME: plotting_data.R #!!!!!!!!! # This script will be called by various plotting scripts. # Ensure you can call this using command line args which are currently commented out ##################### # basic_barplots_PS.R ##################### dim(my_df) 416, 86 # unique mutations dim(my_df_u) 403, 86 # all dups identified are destabilising dups_df = 13 rows 11 unique muts upos = unique(my_df_u$position) 145 df = my_df_u df$duet_outcome Destabilising Stabilising 346 57 # with dups Destabilising Stabilising 359 57 table(df$pos_count) # this is cummulative #1 2 3 4 5 6 #39 62 81 100 85 36 # with dups 1 2 3 4 5 6 7 39 60 75 92 100 36 14 # use group by table(snpsBYpos_df$snpsBYpos) #1 2 3 4 5 6 #39 31 27 25 17 6 # with dups 1 2 3 4 5 6 7 39 30 25 23 20 6 2 #====================== # dr and other muts count = PS #====================== dr_mutations_pyrazinamide : 227 other_mutations_pyrazinamide : 197 #====================== # suppl tables #====================== # sorted by position cols_to_output = c("mutationinformation", "mutation_info", "af", "or_mychisq", "neglogpval_fisher", "or_kin", "neglog_pwald_kin" , "duet_stability_change", "duet_outcome", "ligand_distance", "ligand_affinity_change", "ligand_outcome") # remove the ligand distance plot from "other plots"