mosaic_2020/boxplot_with_stats.R

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1.9 KiB
R
Executable file

#!/usr/bin/Rscript
getwd()
setwd("~/git/mosaic_2020/")
getwd()
############################################################
# TASK: boxplots at T1
# FIXME: currently not rendering, problem with NAs for stats?
############################################################
#=============
# Input
#=============
source("boxplot_linear.R")
#######################################################
med_names = c("eotaxin3", "il12p70", "itac", "il13")
lf_test = lf_fp_npa[lf_fp_npa$mediator%in%med_names,]
mediators = levels(as.factor(lf_test$mediator))
plots <- list()
for (i in mediators) {
single=lf_test[lf_test$mediator==i,]
max_y = max(single$value, na.rm = T)
cat("Plotting:", i, "max_y:", max_y, "\n")
p2 = ggplot(single)+ geom_boxplot(aes(x = timepoint
, y = value
, color = obesity
#, palette = c("#00BFC4", "#F8766D")
))+
theme(axis.text.x = element_text(size = 15)
, axis.text.y = element_text(size = 15
, angle = 0
, hjust = 1
, vjust = 0)
, axis.title.x = element_blank()
, axis.title.y = element_blank()
, legend.position = "none"
, plot.title = element_text(size = 20, hjust = 0.5))
stat_npa2 <- single %>%
group_by(timepoint, mediator) %>%
wilcox_test(value ~ obesity, paired = F) %>%
add_significance("p")
stat_npa2
stat_npa2 <- stat_npa2 %>%
add_xy_position(x = "timepoint", dodge = 0.8)
p2 = p2 + stat_pvalue_manual(stat_npa2
, y.position = max_y
, label = "{p} {p.signif}"
, hide.ns=T
, tip.length = 0)+
scale_y_continuous(expand = expansion(mult = c(0.05, 0.25)))
plots[[i]] <- p2
}
cowplot::plot_grid(plotlist=plots, align = 'hv', ncol=2, nrow=2)