# load libraries
library(tidyverse)
library(xtable)
library(reshape2)
# load data
load('data/wgcna.rda')
# global variables
tables_dir <- 'manuscript/tables/'
# generate table
importance %>%
group_by(module) %>%
arrange(desc(hub)) %>%
dplyr::slice(1:5) %>%
ungroup() %>%
mutate(module = ifelse(duplicated(module), '', module)) %>%
mutate_if(is.numeric, function(x) as.character(round(x, 2))) %>%
setNames(c('Module/color', 'Gene', 'Degree', 'Betweenness', 'Closeness','Hub Score')) %>%
xtable(caption = 'Top five hubs in the different module networks.',
label = 'tab:network_hubs',
align = 'cllcccc') %>%
print(include.rownames = FALSE,
booktabs = TRUE,
table.placement = 'H',
caption.placement = 'top',
file = paste(tables_dir, 'network_hubs.tex', sep = '/'))
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