updating the function
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9c67a208e2
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2 changed files with 48 additions and 38 deletions
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@ -3,8 +3,7 @@ getwd()
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setwd("~/git/mosaic_2020/")
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setwd("~/git/mosaic_2020/")
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getwd()
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getwd()
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############################################################
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############################################################
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# TASK: boxplots at T1
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# TASK: boxplots with stats
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# FIXME: currently not rendering, problem with NAs for stats?
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############################################################
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############################################################
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doMyPlots <- function(x, title = "TEST") {
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doMyPlots <- function(x, title = "TEST") {
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mediators = levels(as.factor(x$mediator))
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mediators = levels(as.factor(x$mediator))
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@ -18,30 +17,30 @@ doMyPlots <- function(x, title = "TEST") {
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max_y = max(single$value, na.rm = T)
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max_y = max(single$value, na.rm = T)
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cat("Plotting:", i, "max_y:", max_y, "\n")
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cat("Plotting:", i, "max_y:", max_y, "\n")
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#----------
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# boxplot
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# boxplot
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#----------
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p2 = ggboxplot(single
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p2 = ggboxplot(single
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, x = "timepoint"
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, x = "timepoint"
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, y = "value"
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, y = "value"
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, color = "obesity"
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, color = "obesity"
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, palette = c("#00BFC4", "#F8766D"))
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#, palette = c("blue", "red")
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, palette = c("#00BFC4", "#F8766D")) +
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p2 = p2 +theme(axis.text.x = element_text(size = 15)
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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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, axis.text.y = element_text(size = 15
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, angle = 0
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, angle = 0
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, hjust = 1
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, hjust = 1
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, vjust = 0)
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, vjust = 0)
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, axis.title.x = element_blank()
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, axis.title.x = element_blank()
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, axis.title.y = element_
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, axis.title.y = element_blank()
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, plot.title = element_text(size = 20, hjust = 0.5)
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, legend.position = "none"
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, strip.text.x = element_text(size = 15, colour = "black")
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, plot.subtitle = element_text(size = 20, hjust = 0.5)
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, legend.title = element_text(color = "black", size = 20)
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, plot.title = element_text(size = 20, hjust = 0.5)) +
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, legend.text = element_text(size = 15)
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labs(title = i)
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, legend.direction = "horizontal") +
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#--------
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labs(title = title
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, x = ""
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, y = "Levels")
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# stats
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# stats
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#---------
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stat_npa2 <- single %>%
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stat_npa2 <- single %>%
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group_by(timepoint, mediator) %>%
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group_by(timepoint, mediator) %>%
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wilcox_test(value ~ obesity, paired = F) %>%
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wilcox_test(value ~ obesity, paired = F) %>%
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@ -51,15 +50,16 @@ doMyPlots <- function(x, title = "TEST") {
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stat_npa2 <- stat_npa2 %>%
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stat_npa2 <- stat_npa2 %>%
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add_xy_position(x = "timepoint", dodge = 0.8)
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add_xy_position(x = "timepoint", dodge = 0.8)
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# add stats to boxplot
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p2 = p2 + stat_pvalue_manual(stat_npa2
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p2 = p2 + stat_pvalue_manual(stat_npa2
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, y.position = max_y
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#, y.position = max_y
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, label = "{p} {p.signif}"
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, label = "{p} {p.signif}"
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, hide.ns=T
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, hide.ns=T
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, tip.length = 0) +
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, tip.length = 0)+
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scale_y_continuous(expand = expansion(mult = c(0.05, 0.25)))
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scale_y_continuous(expand = expansion(mult = c(0.05, 0.25))) +
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scale_x_discrete()
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plots[[i]] <- p2
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plots[[i]] <- p2
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}
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}
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return(plots)
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return(plots)
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@ -70,26 +70,32 @@ doMyPlots <- function(x, title = "TEST") {
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# test
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# test
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#============
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#============
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source("boxplot_linear.R")
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source("boxplot_linear.R")
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#=============
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#=============
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# Output:
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# Output:
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#=============
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#=============
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outfile_bp = paste0("boxplots_TEST_stats_all", ".pdf")
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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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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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pdf(output_boxplot_stats, width=32, height=18)
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med_names = c("eotaxin3", "il12p70", "itac", "il13")
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med_names = c("eotaxin3", "il12p70", "itac", "il13")
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#lf_test = lf_fp_npa[lf_fp_npa$mediator == "il12p70",]
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lf_test = lf_fp_npa[lf_fp_npa$mediator%in%med_names,]
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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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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=cowplot::plot_grid(plotlist=foo, align = 'hv', ncol=2, nrow=2)
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baz
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baz
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dev.off()
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#=========================
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# entire sample_type data
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# entire sample_type data
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#bar=doMyPlots(lf_fp_npa)
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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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bar=doMyPlots(lf_fp_npa)
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#bang=cowplot::plot_grid(plotlist=bar, align = 'hv', ncol=7, nrow=5)
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#bang=cowplot::plot_grid(plotlist=bar, align = 'hv', ncol=7, nrow=5)
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#bang
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#bang
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dev.off()
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dev.off()
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18
boxplot_with_stats.R
Executable file → Normal file
18
boxplot_with_stats.R
Executable file → Normal file
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@ -62,15 +62,21 @@ p2 = p2 + stat_pvalue_manual(stat_npa2
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, hide.ns=T
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, hide.ns=T
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, tip.length = 0)+
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, tip.length = 0)+
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scale_y_continuous(expand = expansion(mult = c(0.05, 0.25))) +
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scale_y_continuous(expand = expansion(mult = c(0.05, 0.25))) +
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scale_x_discrete()
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plots[[i]] <- p2
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plots[[i]] <- p2
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}
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}
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#============================
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# combine: cowplot_plot_grid
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#============================
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#cowplot::plot_grid(plotlist=plots, align = 'hv', ncol=2, nrow=2)
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#cowplot::plot_grid(plotlist=plots, align = 'hv', ncol=2, nrow=2)
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pdf("test.pdf", width = 22, height = 16)
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cowplot::plot_grid(plotlist=plots, align = 'hv', ncol=7, nrow=5)
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dev.off()
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#===========================
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# combine: ggpubr::ggarrange
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#===========================
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pdf("test2.pdf", width = 22, height = 16)
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pdf("test2.pdf", width = 22, height = 16)
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npa_plot<- ggpubr::ggarrange(plotlist = plots, align = "hv"
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npa_plot<- ggpubr::ggarrange(plotlist = plots, align = "hv"
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, ncol = 7
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, ncol = 7
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, nrow = 5
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, nrow = 5
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@ -86,9 +92,7 @@ annotate_figure(npa_plot,
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#fig.lab = "Figure 1", fig.lab.face = "bold"
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#fig.lab = "Figure 1", fig.lab.face = "bold"
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)
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)
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pdf("test.pdf", width = 22, height = 16)
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cowplot::plot_grid(plotlist=plots, align = 'hv', ncol=7, nrow=5)
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dev.off()
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##################################################################
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##################################################################
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#=======
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#=======
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# facet
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# facet
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