diff --git a/scripts/functions/corr_plot_data.R b/scripts/functions/corr_plot_data.R index 29399c2..b23b90e 100644 --- a/scripts/functions/corr_plot_data.R +++ b/scripts/functions/corr_plot_data.R @@ -18,9 +18,12 @@ # RETURNS: DF # containing all the columns required for generating downstream correlation plots -# TO DO: SHINY - #1) Corr type? - #2) +# TODO: ADD +#lineage_count_all +#lineage_count_unique +#my_df['lineage_proportion'] = my_df['lineage_count_unique']/my_df['lineage_count_all'] +#my_df['dist_lineage_proportion'] = my_df['lineage_count_unique']/total_mtblineage_uc + ################################################################## # LigDist_colname #from globals: plotting_globals.R # ppi2Dist_colname #from globals: plotting_globals.R diff --git a/scripts/plotting/plotting_thesis/corr_plots_thesis.R b/scripts/plotting/plotting_thesis/corr_plots_thesis.R index fef87cd..b913549 100644 --- a/scripts/plotting/plotting_thesis/corr_plots_thesis.R +++ b/scripts/plotting/plotting_thesis/corr_plots_thesis.R @@ -1,10 +1,30 @@ +#!/usr/bin/env Rscript +#source("~/git/LSHTM_analysis/config/alr.R") +source("~/git/LSHTM_analysis/config/embb.R") +#source("~/git/LSHTM_analysis/config/katg.R") +#source("~/git/LSHTM_analysis/config/gid.R") +#source("~/git/LSHTM_analysis/config/pnca.R") +#source("~/git/LSHTM_analysis/config/rpob.R") + +# get plottting dfs +source("~/git/LSHTM_analysis/scripts/plotting/get_plotting_dfs.R") +#################################################### +#======= +# output +#======= +outdir_images = paste0("~/git/Writing/thesis/images/results/", tolower(gene), "/") + +#======= +# Input +#======= merged_df3 = as.data.frame(merged_df3) corr_plotdf = corr_data_extract(merged_df3 , gene = gene , drug = drug , extract_scaled_cols = F) colnames(corr_plotdf) - +colnames(corr_df_m3_f) +corr_plotdf = corr_df_m3_f # for downstream code #================ # stability #================ @@ -179,7 +199,7 @@ corr_end = end-ncol_omit #---------------------------- corr_consP = paste0(outdir_images ,tolower(gene) - ,"_corr_ppi2.svg" ) + ,"_corr_conservation.svg" ) cat("Corr plot conservation coloured dots:", corr_consP) svg(corr_consP, width = 10, height = 10) @@ -191,9 +211,9 @@ my_corr_pairs(corr_data_all = corr_df_cons , categ_colour = c("red", "blue") , density_show = F , hist_col = "coral4" - , dot_size = 2 + , dot_size =1.1 , ats = 1.5 - , corr_lab_size = 3 + , corr_lab_size = 2.5 , corr_value_size = 1) dev.off()