#Plotting the correlations
library(corrplot)
#Generating p-values for the correlations
p_prca <- cor.mtest(yule.prca.filtered1)
p_melanoma <- cor.mtest(yule.melanoma.filtered)
corrplot.mixed(yule.prca.filtered1,
lower = "ellipse",
upper = "number",
number.cex = .6,
order = 'FPC',
tl.pos = 'lt')

corrplot.mixed(yule.prca.filtered1,
lower = "ellipse",
upper = "number",
number.cex = .6,
order = 'FPC',
tl.pos = 'lt',
p.mat = p_prca$p,
sig.level = c(0.05),
insig = 'blank')

corrplot.mixed(yule.melanoma.filtered,
lower = "ellipse",
upper = "number",
number.cex = .75,
order = 'FPC',
tl.pos = 'lt')

corrplot.mixed(yule.melanoma.filtered,
lower = "ellipse",
upper = "number",
number.cex = .75,
order = 'FPC',
tl.pos = 'lt',
p.mat = p_melanoma$p,
sig.level = c(0.05),
insig = 'blank')
