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updating the function

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This commit is contained in:
Tanushree Tunstall 2020-10-31 19:52:18 +00:00
parent 9c67a208e2
commit 6575fc7aba
2 changed files with 48 additions and 38 deletions
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68
boxplot_stat_function.R
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@ -3,8 +3,7 @@ getwd()
setwd("~/git/mosaic_2020/")
getwd()
############################################################
# TASK: boxplots at T1
# FIXME: currently not rendering, problem with NAs for stats?
# TASK: boxplots with stats
############################################################
doMyPlots <- function(x, title = "TEST") {
mediators = levels(as.factor(x$mediator))
@ -18,30 +17,30 @@ doMyPlots <- function(x, title = "TEST") {
max_y = max(single$value, na.rm = T)
cat("Plotting:", i, "max_y:", max_y, "\n")
#----------
# boxplot
#----------
p2 = ggboxplot(single
, x = "timepoint"
, y = "value"
, color = "obesity"
, palette = c("#00BFC4", "#F8766D"))
#, palette = c("blue", "red")
, palette = c("#00BFC4", "#F8766D")) +
p2 = p2 +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_
, plot.title = element_text(size = 20, hjust = 0.5)
, strip.text.x = element_text(size = 15, colour = "black")
, legend.title = element_text(color = "black", size = 20)
, legend.text = element_text(size = 15)
, legend.direction = "horizontal") +
labs(title = title
, x = ""
, y = "Levels")
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.subtitle = element_text(size = 20, hjust = 0.5)
, plot.title = element_text(size = 20, hjust = 0.5)) +
labs(title = i)
#--------
# stats
#---------
stat_npa2 <- single %>%
group_by(timepoint, mediator) %>%
wilcox_test(value ~ obesity, paired = F) %>%
@ -51,15 +50,16 @@ doMyPlots <- function(x, title = "TEST") {
stat_npa2 <- stat_npa2 %>%
add_xy_position(x = "timepoint", dodge = 0.8)
# add stats to boxplot
p2 = p2 + stat_pvalue_manual(stat_npa2
, y.position = max_y
#, 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)))
, tip.length = 0)+
scale_y_continuous(expand = expansion(mult = c(0.05, 0.25))) +
scale_x_discrete()
plots[[i]] <- p2
}
return(plots)
@ -70,26 +70,32 @@ doMyPlots <- function(x, title = "TEST") {
# test
#============
source("boxplot_linear.R")
#=============
# Output:
#=============
outfile_bp = paste0("boxplots_TEST_stats_all", ".pdf")
outfile_bp = paste0("boxplots_TEST", ".pdf")
output_boxplot_stats = paste0(outdir_plots, outfile_bp); output_boxplot_stats
pdf(output_boxplot_stats, width=32, height=18)
pdf(output_boxplot_stats, width=22, height=16)
med_names = c("eotaxin3", "il12p70", "itac", "il13")
#lf_test = lf_fp_npa[lf_fp_npa$mediator == "il12p70",]
lf_test = lf_fp_npa[lf_fp_npa$mediator%in%med_names,]
foo=doMyPlots(lf_test)
baz=cowplot::plot_grid(plotlist=foo, align = 'hv', ncol=2, nrow=2)
#baz=cowplot::plot_grid(plotlist=foo, align = 'hv', ncol=2, nrow=2)
baz
dev.off()
#=========================
# entire sample_type data
#bar=doMyPlots(lf_fp_npa)
#=========================
my_sample_type = "NPA"
outfile_bp = paste0("boxplots_stats_", my_sample_type, ".pdf")
output_boxplot_stats = paste0(outdir_plots, outfile_bp); output_boxplot_stats
pdf(output_boxplot_stats, width=22, height=16)
bar=doMyPlots(lf_fp_npa)
#bang=cowplot::plot_grid(plotlist=bar, align = 'hv', ncol=7, nrow=5)
#bang
dev.off()
dev.off()