isolating function from running on data
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1 changed files with 1 additions and 51 deletions
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@ -26,7 +26,6 @@ doMyPlots <- function(df) {
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#, palette = c("#00BFC4", "#F8766D")
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))+
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scale_colour_manual(values=c("#00BFC4", "#F8766D")) +
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scale_y_log10()
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theme(axis.text.x = element_text(size = 15)
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, axis.text.y = element_text(size = 15
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, angle = 0
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@ -50,7 +49,6 @@ doMyPlots <- function(df) {
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stat_df <- stat_df %>%
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add_xy_position(x = "timepoint", dodge = 0.8)
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cat("printing p")
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p2 = p + stat_pvalue_manual(stat_df
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#, y.position = max_y
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, label = "{p_format} {p.signif}"
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@ -63,52 +61,4 @@ doMyPlots <- function(df) {
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return(plots)
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}
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###############################################################
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#============
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# test
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#============
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source("boxplot_linear.R")
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#=============
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# Output:
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#=============
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outfile_bp = paste0("boxplots_TEST", ".pdf")
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output_boxplot_stats = paste0(outdir_plots, outfile_bp); output_boxplot_stats
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#pdf(output_boxplot_stats, width=22, height=16)
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med_names = c("eotaxin3", "il12p70", "itac", "il13")
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lf_test = lf_fp_npa[lf_fp_npa$mediator%in%med_names,]
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foo=doMyPlots(lf_test)
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#baz=cowplot::plot_grid(plotlist=foo, align = 'hv', ncol=2, nrow=2)
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baz
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#dev.off()
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##################################################################
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#=========================
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# entire sample_type data
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#=========================
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my_sample_type = "NPA"
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outfile_bp = paste0("boxplots_stats_", my_sample_type, ".pdf")
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output_boxplot_stats = paste0(outdir_plots, outfile_bp); output_boxplot_stats
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pdf(output_boxplot_stats, width=22, height=16)
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#===========================
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# combine: ggpubr::ggarrange
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#===========================
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plots_npa = doMyPlots(lf_fp_npa)
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npa_plot = ggpubr::ggarrange(plotlist = plots_npa
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, align = "hv"
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, ncol = 7
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, nrow = 5
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, common.legend = T)
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#npa_plot
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npa_plot_annot = annotate_figure(npa_plot
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, top = text_grob(my_sample_type, color = "purple", face = "bold", size = 14)
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, bottom = text_grob("Mosaic data\nFlu positive adults (n=133)"
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, color = "blue"
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, hjust = 1, x = 0.98, face = "italic", size = 10)
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, left = text_grob("Levels (pg/ml)", color = "black", rot = 90, size = 18)
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#, right = "I'm done, thanks :-)!",
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#, fig.lab = "Figure 1", fig.lab.face = "bold"
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)
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npa_plot_annot
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dev.off()
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###############################################################
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