adde format_results_dynamut2.py and ran shiny scripts for barplots
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9 changed files with 235 additions and 59 deletions
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@ -22,7 +22,14 @@ stability_count_bp <- function(plotdf
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, leg_text_size = 20
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, leg_title_size = 22
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, yaxis_title = "Number of nsSNPs"
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, bp_plot_title = ""){
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, bp_plot_title = ""
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, label_categories = c("Destabilising", "Stabilising")
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, title_colour = "chocolate4"
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, subtitle_text = NULL
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, subtitle_size = 20
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, subtitle_colour = "pink"
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#, leg_position = c(0.73,0.8) # within plot area
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, leg_position = "top"){
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OutPlot_count = ggplot(plotdf, aes(x = eval(parse(text = df_colname)))) +
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geom_bar(aes(fill = eval(parse(text = df_colname))), show.legend = TRUE) +
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@ -35,14 +42,20 @@ stability_count_bp <- function(plotdf
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, axis.title.x = element_blank()
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, axis.title.y = element_text(size = axis_label_size)
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, axis.text.y = element_text(size = axis_text_size)
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, legend.position = c(0.73,0.8)
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, legend.position = leg_position
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, legend.text = element_text(size = leg_text_size)
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, legend.title = element_text(size = leg_title_size)
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, plot.title = element_text(size = axis_label_size)) +
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labs(title = bp_plot_title
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, y = yaxis_title) +
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, plot.title = element_text(size = axis_label_size
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, colour = title_colour)
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, plot.subtitle = element_text(size = subtitle_size
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, hjust = 0.5
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, colour = subtitle_colour)) +
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labs(title = bp_plot_title
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, subtitle = subtitle_text
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, y = yaxis_title) +
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scale_fill_discrete(name = leg_title
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, labels = c("Destabilising", "Stabilising"))
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#, labels = c("Destabilising", "Stabilising")
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, labels = label_categories)
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return(OutPlot_count)
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}
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