diff --git a/scripts/plotting/lineage_dist_plots.R b/scripts/plotting/lineage_dist_plots.R
new file mode 100644
index 0000000..a425f37
--- /dev/null
+++ b/scripts/plotting/lineage_dist_plots.R
@@ -0,0 +1,114 @@
+#!/usr/bin/env Rscript  
+#########################################################
+# TASK: Lineage dist plots: ggridges
+
+# Output: 1 or 2 SVGs for PS stability
+
+##########################################################
+# 				Installing and loading required packages 			 
+##########################################################
+getwd()
+setwd("~/git/LSHTM_analysis/scripts/plotting/")
+getwd()
+
+source("Header_TT.R") # also loads all my functions
+
+#===========
+# input
+#===========
+#drug = "streptomycin"
+#gene = "gid"
+source("get_plotting_dfs.R")
+
+spec = matrix(c(
+  "drug"       , "d",  1, "character",
+  "gene"       , "g",  1, "character",
+  "data_file1" , "fa", 2, "character",
+  "data_file2" , "fb", 2, "character" 
+), byrow = TRUE, ncol = 4)
+
+opt = getopt(spec)
+
+drug            = opt$drug
+gene            = opt$gene
+infile_params   = opt$data_file1
+infile_metadata = opt$data_file2
+
+if(is.null(drug)|is.null(gene)) {
+  stop("Missing arguments: --drug and --gene must both be specified (case-sensitive)")
+}
+
+#=======
+# output
+#=======
+lineage_dist_dm_om_ps      = "lineage_dist_dm_om_PS.svg"
+plot_lineage_dist_dm_om_ps =  paste0(plotdir,"/", lineage_dist_dm_om_ps)
+#========================================================================
+
+###########################
+# Data for plots
+# you need merged_df2 or merged_df2_comp
+# since this is one-many relationship 
+# i.e the same SNP can belong to multiple lineages
+# using the _comp dataset means
+# we lose some muts and at this level, we should use
+# as much info as available, hence use df with NA
+###########################
+
+#===================
+# Data for plots
+#===================
+# quick checks
+table(merged_df2$mutation_info_labels); levels(merged_df2$lineage_labels)
+table(merged_df2$lineage_labels); levels(merged_df2$mutation_info_labels)
+
+lin_dist_plot = merged_df2[merged_df2$lineage_labels%in%c("L1", "L2", "L3", "L4"),]
+table(lin_dist_plot$lineage_labels); nlevels(lin_dist_plot$lineage_labels)
+
+# refactor
+lin_dist_plot$lineage_labels = factor(lin_dist_plot$lineage_labels)
+nlevels(lin_dist_plot$lineage_labels)
+
+#-----------------------------------------------------------------------
+# IMPORTANT RESULTS to put inside table or text for interactive plots
+
+sum(table(lin_dist_plot$lineage_labels)) #{RESULT: Total number of samples for lineage}
+
+table(lin_dist_plot$lineage_labels)#{RESULT: No of samples within lineage}
+
+length(unique(lin_dist_plot$mutationinformation))#{Result: No. of unique mutations selected lineages contribute to}
+length(lin_dist_plot$mutationinformation)
+
+u2 = unique(merged_df2$mutationinformation)
+u = unique(lin_dist_plot$mutationinformation)
+check = u2[!u2%in%u]; print(check) #{Muts not present within selected lineages}
+#-----------------------------------------------------------------------
+# without facet
+linP_dm_om = lineage_distP(lin_dist_plot
+              , with_facet = F
+              , x_axis = "deepddg"
+              , y_axis = "lineage_labels"
+              , x_lab = "DeepDDG"
+              , leg_label = "Mutation Class"
+)
+linP_dm_om
+
+# with facet
+linP_dm_om_facet = lineage_distP(lin_dist_plot
+              , with_facet = T
+              , facet_wrap_var = "mutation_info_labels"
+              , leg_label = "Mutation Class"
+              , leg_pos_wf = "none"
+              , leg_dir_wf = "horizontal"
+              
+)
+linP_dm_om_facet
+
+#=================
+# output plot:
+# without facet
+#=================
+svg(plot_lineage_dist_dm_om_ps)
+linP_dm_om
+
+dev.off()