nskeip

create_big_data_from_csv_dir <- function(directory, ids) {
  # locate the files
  files <- list.files(directory, full.names=T)[ids]
  
  # read the files into a list of data.frames
  data.list <- lapply(files, read.csv)
  
  # concatenate into one big data.frame
  data.cat <- do.call(rbind, data.list)
  

thomasp85

library(ggraph)
library(tidygraph)
library(gganimate)

# Data from http://konect.uni-koblenz.de/networks/sociopatterns-infectious
infect <- read.table('out.sociopatterns-infectious', skip = 2, sep = ' ', stringsAsFactors = FALSE)
infect$V3 <- NULL
names(infect) <- c('from', 'to', 'time')
infect$time <- as.POSIXct(infect$time, origin = Sys.time() - as.numeric(Sys.time()))