ploting npa before sam and serum for boxplots

This commit is contained in:
Tanushree Tunstall 2020-10-29 18:56:31 +00:00
parent 540b6c5bf7
commit 7463f9ac1c

144
boxplot.R
View file

@ -46,6 +46,68 @@ lf_fp_serum$obesity = as.factor(lf_fp_serum$obesity)
cat("Output plots will be in:", output_boxplot)
pdf(output_boxplot, width = 20, height = 15)
#=======================================================================
# NPA
#=======================================================================
if (is.factor(lf_fp_npa$timepoint) && is.factor(lf_fp_npa$timepoint)){
cat ("PASS: required groups are factors")
}
table(lf_fp_npa$mediator)
head(lf_fp_npa$value[lf_fp_npa$mediator == "vitd"])
lf_fp_npa = lf_fp_npa[!lf_fp_npa$mediator == "vitd",]
#------------------------------------------
title_npa_linear = "Boxplot: NPA (Linear)"
#-----------------------------------------
bxp_npa_linear <- ggboxplot(lf_fp_npa, x = "timepoint", y = "value",
color = "obesity", palette = c("#00BFC4", "#F8766D")) +
facet_wrap(~mediator, nrow = 7, ncol = 5, scales = "free_y", shrink = T)+
#scale_y_log10() +
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_text(size = 15)
, axis.title.y = element_text(size = 15)
, 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_npa_linear
, x = ""
, y = "Levels")
bxp_npa_linear
#------------------------------------
title_npa_log = "Boxplot: NPA (Log)"
#-----------------------------------
bxp_npa_log <- ggboxplot(lf_fp_npa, x = "timepoint", y = "value",
color = "obesity", palette = c("#00BFC4", "#F8766D")) +
facet_wrap(~mediator, nrow = 7, ncol = 5, scales = "free_y", shrink = F)+
scale_y_log10() +
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_text(size = 15)
, axis.title.y = element_text(size = 15)
, 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_npa_log
, x = ""
, y = "Levels (Log)")
bxp_npa_log
#=======================================================================
# SAM
#=======================================================================
@ -164,87 +226,7 @@ bxp_serum_log <- ggboxplot(lf_fp_serum, x = "timepoint", y = "value",
, x = ""
, y = "Levels (Log)")
bxp_serum_log
#=======================================================================
# NPA
#=======================================================================
if (is.factor(lf_fp_npa$timepoint) && is.factor(lf_fp_npa$timepoint)){
cat ("PASS: required groups are factors")
}
bxp_serum_log
table(lf_fp_npa$mediator)
head(lf_fp_npa$value[lf_fp_npa$mediator == "vitd"])
lf_fp_npa = lf_fp_npa[!lf_fp_npa$mediator == "vitd",]
#------------------------------------------
title_npa_linear = "Boxplot: NPA (Linear)"
#-----------------------------------------
bxp_npa_linear <- ggboxplot(lf_fp_npa, x = "timepoint", y = "value",
color = "obesity", palette = c("#00BFC4", "#F8766D")) +
facet_wrap(~mediator, nrow = 7, ncol = 5, scales = "free_y", shrink = T)+
#scale_y_log10() +
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_text(size = 15)
, axis.title.y = element_text(size = 15)
, 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_npa_linear
, x = ""
, y = "Levels")
bxp_npa_linear
#------------------------------------
title_npa_log = "Boxplot: NPA (Log)"
#-----------------------------------
bxp_npa_log <- ggboxplot(lf_fp_npa, x = "timepoint", y = "value",
color = "obesity", palette = c("#00BFC4", "#F8766D")) +
facet_wrap(~mediator, nrow = 7, ncol = 5, scales = "free_y", shrink = F)+
scale_y_log10() +
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_text(size = 15)
, axis.title.y = element_text(size = 15)
, 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_npa_log
, x = ""
, y = "Levels (Log)")
bxp_npa_log
dev.off()
#==========================================================================
#------------------------------------
title_npa_log_stats = "Boxplot: NPA (Log) + stats"
#-----------------------------------
stat.test <- lf_fp_npa %>%
group_by(timepoint, mediator) %>%
wilcox_test(value ~ obesity, paired = F) %>%
add_significance("p")
stat.test
stat.test <- stat.test %>%
add_xy_position(x = "timepoint", dodge = 0.8)
bxp_npa_linear + stat_pvalue_manual(stat.test, label = "p.signif", tip.length = 0)
bxp_npa_log + stat_pvalue_manual(stat.test, label = "p.signif", tip.length = 0)
dev.off()