library("dplyr")
library("tidyr")
my_read_csv = function(f, into) {
readr::read_csv(f,
col_types = cols(stripID = col_integer(),
area = col_double(),
perimeter = col_double(),
number_quadrats = col_integer())) %>%
mutate(file=f) %>%
separate(file, into)
}
read_dir = function(path, pattern, into) {
files = list.files(path = path,
pattern = pattern,
recursive = TRUE,
full.names = TRUE)
plyr::ldply(files, my_read_csv, into = into)
}
# Above modified from https://gist.github.com/jarad/8f3b79b33489828ab8244e82a4a0c5b3
#######################################################################
sites <- read_dir(path = "sites",
pattern = "*.csv",
into = c("site","siteID","csv")) %>%
# Make unique stripID
mutate(stripID = formatC(stripID, width = 2, format = "d", flag = "0"), # add preceeding zeros for proper ordering
stripID = paste(siteID, stripID, sep="")) %>%
select(stripID, siteID, number_quadrats, area, perimeter)
devtools::use_data(sites, overwrite = TRUE)
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