updated my_pairs_panel.R to make the dots coloured
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1 changed files with 30 additions and 14 deletions
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@ -1,24 +1,40 @@
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my_corr_pairs <- function (corr_data){
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my_corr_pairs <- function (corr_data_all
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, corr_data_range = 1:length(corr_data_all)
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, corr_method = "spearman" # other options: "pearson" or "kendall"
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, colour_categ_col = "mutation_info_labels"
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, categ_colour = c("#E69F00", "#999999")
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, density_show = F
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, hist_col = "coral4"
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, dot_size = 1.6
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, ats = 1
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, corr_lab_size = 1
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, corr_value_size = 1)
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{
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OutPlot_corr = pairs.panels(corr_data
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corr_data_df = corr_data_all[corr_data_range]
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, method = "spearman" # correlation method
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my_bg = categ_colour[corr_data_all[[colour_categ_col]] ]
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, hist.col = "grey" ##00AFBB
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, density = TRUE # show density plots
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OutPlot_corr = pairs.panels(corr_data_df
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, ellipses = F # show correlation ellipses
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, method = corr_method
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, hist.col = hist_col
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, density = density_show
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, ellipses = F
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, smooth = F
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, stars = T
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, stars = T
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, rug = F
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, rug = F
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, breaks = "Sturges"
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, breaks = "Sturges"
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, show.points = T
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, show.points = T
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#, bg = c("#f8766d", "#00bfc4")[unclass(factor(corr_ps$duet_outcome))] # foldx colours are reveresed
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#, bg = c("#f8766d", "#00bfc4")[unclass(factor(corr_data$duet_outcome))] # foldx colours are reveresed
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#, pch = 21 # for bg
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, bg = my_bg
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, jitter = T
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, pch = 21
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, alpha = 1
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, alpha = 1
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, cex = 1.8
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, cex = dot_size
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, cex.axis = 2
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, cex.axis = ats
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, cex.labels = 3.5
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, cex.labels = corr_lab_size
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, cex.cor = 1
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, cex.cor = corr_value_size
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, smooth = F)
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)
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return(OutPlot_corr)
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return(OutPlot_corr)
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#return (my_bg)
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}
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}
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