added lineage_labels and mutation_info_labels to combinig_dfs_plotting
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03031d2eb6
commit
b7d50fbbcd
4 changed files with 38 additions and 187 deletions
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@ -153,6 +153,40 @@ combining_dfs_plotting <- function( my_df_u
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quit()
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}
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# Quick formatting: pretty labels
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#-----------------------
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# mutation_info_labels
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#-----------------------
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merged_df2$mutation_info_labels = ifelse(merged_df2$mutation_info == dr_muts_col
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, "DM", "OM")
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merged_df2$mutation_info_labels = factor(merged_df2$mutation_info_labels)
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#-----------------------
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# lineage labels
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#-----------------------
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merged_df2$lineage_labels = gsub("lineage", "L", merged_df2$lineage)
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merged_df2$lineage_labels = factor(merged_df2$lineage_labels, c("L1"
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, "L2"
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, "L3"
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, "L4"
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, "L5"
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, "L6"
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, "L7"
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, "LBOV"
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, "L1;L2"
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, "L1;L3"
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, "L1;L4"
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, "L2;L3"
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, "L2;L3;L4"
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, "L2;L4"
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, "L2;L6"
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, "L2;LBOV"
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, "L3;L4"
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, "L4;L6"
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, "L4;L7"
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, ""))
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#=================================================================
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# Merge 2: merged_df3
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# dfs with NAs in ORs
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@ -16,12 +16,13 @@ cat("cols imported:"
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#############################################################
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# without facet
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lineage_distP(lin_dist_plot
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, with_facet = F
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, leg_label = "Mutation Class"
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)
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# without facet
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lineage_distP(lin_dist_plot
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, with_facet = T
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, facet_wrap_var = "mutation_info_labels"
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@ -55,9 +55,7 @@ plot_basic_bp_lineage_cl
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# Data: All lineages or
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# selected few
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#------------------------
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sel_lineages = levels(lin_lf$sel_lineages)[1:4]
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sel_lineages
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lin_lf_plot = lin_lf[lin_lf$sel_lineages%in%sel_lineages,]
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lin_lf_plot = lin_lf[lin_lf$sel_lineages%in%c("L1", "L2", "L3", "L4"),]
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str(lin_lf_plot)
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# drop unused factor levels
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@ -90,9 +88,7 @@ lin_countP
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# Data: All lineages or
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# selected few
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#------------------------
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sel_lineages = levels(lin_wf$sel_lineages)[1:4]
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sel_lineages
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lin_wf_plot = lin_wf[lin_wf$sel_lineages%in%sel_lineages,]
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lin_wf_plot = lin_wf[lin_wf$sel_lineages%in%c("L1", "L2", "L3", "L4"),]
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str(lin_wf_plot)
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# drop unused factor levels
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@ -1,180 +0,0 @@
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#!/usr/bin/env Rscript
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#########################################################
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# TASK: Script to format data for lineage barplots:
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# WF and LF data with lineage sample, and snp counts
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# sourced by get_plotting_dfs.R
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#########################################################
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# working dir and loading libraries
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# getwd()
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# setwd("~/git/LSHTM_analysis/scripts/plotting")
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# getwd()
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# make cmd
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# globals
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# drug = "streptomycin"
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# gene = "gid"
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# source("get_plotting_dfs.R")
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#=======================================================================
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#################################################
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# Get data with lineage count, and snp diversity
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#################################################
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table(merged_df2$lineage)
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if (table(merged_df2$lineage == "")[[2]]) {
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cat("\nMissing samples with lineage classification:", table(merged_df2$lineage == "")[[2]])
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}
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# Add pretty lineage labels and mut_info_labels
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class(merged_df2$lineage); table(merged_df2$lineage)
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merged_df2$lineage_labels = gsub("lineage", "L", merged_df2$lineage)
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table(merged_df2$lineage_labels)
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class(merged_df2$lineage_labels)
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merged_df2$lineage_labels = factor(merged_df2$lineage_labels, c("L1"
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, "L2"
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, "L3"
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, "L4"
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, "L5"
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, "L6"
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, "L7"
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, "LBOV"
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, "L1;L2"
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, "L1;L3"
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, "L1;L4"
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, "L2;L3"
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, "L2;L3;L4"
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, "L2;L4"
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, "L2;L6"
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, "L2;LBOV"
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, "L3;L4"
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, "L4;L6"
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, "L4;L7"
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, ""))
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class(merged_df2$lineage_labels); nlevels(merged_df2$lineage_labels)
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##################################
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# WF data: lineages with
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# snp count
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# total_samples
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# snp diversity (perc)
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##################################
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sel_lineages = levels(merged_df2$lineage_labels)
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lin_wf = data.frame(sel_lineages) #4, 1
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total_snps_u = NULL
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total_samples = NULL
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for (i in sel_lineages){
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#print(i)
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curr_total = length(unique(merged_df2$id)[merged_df2$lineage_labels==i])
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#print(curr_total)
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total_samples = c(total_samples, curr_total)
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print(total_samples)
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foo = merged_df2[merged_df2$lineage_labels==i,]
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print(paste0(i, "=======\n"))
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print(length(unique(foo$mutationinformation)))
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curr_count = length(unique(foo$mutationinformation))
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total_snps_u = c(total_snps_u, curr_count)
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}
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lin_wf
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# Add these counts as columns to the df
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lin_wf$num_snps_u = total_snps_u
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lin_wf$total_samples = total_samples
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# Add SNP diversity
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lin_wf$snp_diversity = lin_wf$num_snps_u/lin_wf$total_samples
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lin_wf
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#=====================
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# Add some formatting
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#=====================
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# SNP diversity
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lin_wf$snp_diversity_f = round( (lin_wf$snp_diversity * 100), digits = 0)
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lin_wf$snp_diversity_f = paste0(lin_wf$snp_diversity_f, "%")
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# Important: Check factors so that x-axis categ appear as you want
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lin_wf$sel_lineages = factor(lin_wf$sel_lineages, c("L1"
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, "L2"
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, "L3"
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, "L4"
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, "L5"
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, "L6"
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, "L7"
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, "LBOV"
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, "L1;L2"
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, "L1;L3"
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, "L1;L4"
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, "L2;L3"
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, "L2;L3;L4"
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, "L2;L4"
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, "L2;L6"
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, "L2;LBOV"
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, "L3;L4"
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, "L4;L6"
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, "L4;L7"
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, ""))
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levels(lin_wf$sel_lineages)
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##################################
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# LF data: lineages with
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# snp count
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# total_samples
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# snp diversity (perc)
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##################################
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names(lin_wf)
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tot_cols = ncol(lin_wf)
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pivot_cols = c("sel_lineages", "snp_diversity", "snp_diversity_f")
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pivot_cols_n = length(pivot_cols)
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expected_rows = nrow(lin_wf) * ( length(lin_wf) - pivot_cols_n )
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lin_lf <- gather(lin_wf
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, count_categ
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, p_count
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, num_snps_u:total_samples
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, factor_key = TRUE)
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lin_lf
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# quick checks
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if ( nrow(lin_lf) == expected_rows ){
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cat("\nPASS: Lineage LF data created"
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, "\nnrow: ", nrow(lin_lf)
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, "\nncol: ", ncol(lin_lf))
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} else {
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cat("\nFAIL: numbers mismatch"
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, "\nExpected nrow: ", expected_rows)
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}
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# Important: Relevel factors so that x-axis categ appear as you want
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lin_lf$sel_lineages = factor(lin_lf$sel_lineages, c("L1"
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, "L2"
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, "L3"
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, "L4"
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, "L5"
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, "L6"
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, "L7"
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, "LBOV"
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, "L1;L2"
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, "L1;L3"
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, "L1;L4"
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, "L2;L3"
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, "L2;L3;L4"
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, "L2;L4"
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, "L2;L6"
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, "L2;LBOV"
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, "L3;L4"
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, "L4;L6"
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, "L4;L7"
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, ""))
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levels(lin_lf$sel_lineages)
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