# load libraries
library(tidyverse)
library(reshape2)
library(ggdendro)
library(cowplot)
library(ggraph)
library(tidygraph)
library(WGCNA)
# load data
load('data/wgcna.rda')
# global variables
figures_dir = 'manuscript/figures/'
# generate figure
(plot_grid(similarity %>%
filter(abs(value) < 1) %>%
ggplot(aes(x = abs(value), color = measure)) +
stat_ecdf() +
theme_bw() +
theme(legend.position = 'top',
legend.direction = 'vertical') +
labs(y = 'CDF',
x = 'Correlation',
color = 'Measure'),
importance %>%
ggplot(aes(x=degree, y=betweenness, size = hub)) +
geom_point() +
labs(x = 'Degree Centrality',
y = 'Betweenness Centrality',
size = 'Hub Score') +
scale_size_continuous(breaks = c(0, .5, 1)) +
theme_bw() +
theme(legend.position = 'top', legend.direction = 'vertical'),
labels = 'AUTO',
label_size = 10,
label_fontface = 'plain',
nrow = 1,
scale = .9)) %>%
ggsave(plot = .,
filename = paste(figures_dir, 'similarity_centrality.png', sep = '/'),
width = 18, height = 12, units = 'cm')
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