## code to prepare `DATASET` dataset goes here
# my_files <- dir(path = "~/Documents/ecological_network/weboflife/bipartite/")
# my_files <- my_files[1:(length(my_files)-2)]
# web_of_life <- lapply(
# X = seq_along(my_files),
# FUN = function(i) {
# df <- read.csv(file = paste0("~/Documents/ecological_network/weboflife/bipartite/",
# my_files[i]), header = TRUE, row.names = 1)
# A <- as.matrix(df)
# if (stringr::str_sub(my_files[i], 1, 4) == "A_HP") {
# A <- A[,2:ncol(A)]
# }
# A[A!=0] <- 1
# return(list(
# net = A,
# nr = nrow(A),
# nc = ncol(A),
# dens = mean(A),
# id = stringr::str_sub(my_files[i], 1, -5))
# )
# }
# )
#
#
# usethis::use_data(web_of_life, overwrite = TRUE)
#
df <- read.csv(file = "~/Documents/ecological_network/weboflife/bipartite/A_HP_044.csv",
header = TRUE, row.names = 1)
A <- as.matrix(df)
A <- A[,2:ncol(A)]
A[A!=0] <- 1
hostparasite <- A
df <- read.csv(file = "~/Documents/ecological_network/weboflife/bipartite/M_SD_013.csv",
header = TRUE, row.names = 1)
A <- as.matrix(df)
A[A!=0] <- 1
seeddispersal <- A
df <- read.csv(file = "~/Documents/ecological_network/weboflife/bipartite/M_PL_039.csv",
header = TRUE, row.names = 1)
A <- as.matrix(df)
A[A!=0] <- 1
pollination <- A
usethis::use_data(hostparasite, seeddispersal, pollination, overwrite = TRUE)
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