## code to prepare `coral_growth` dataset goes here
coral_url <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vSoBfvhztFgALk1fcljBbYP03D-fRIEy7mu1DrHKZ--BXYZWHFxUujac_-gFSteM99p7CFQILT_eXcC/pub?gid=0&single=true&output=csv"
#Importation et format des colonnes
readr::read_csv(coral_url,
col_types = cols( .default = col_character(),
date = col_datetime(),
weight = col_double(),
temperature = col_double(),
salinity = col_double() )) %>.%
filter(., id %in% c(1, 27, 25, 18, 69, 46, 82, 31, 39, 53, 83)) %>.%
arrange(., date) %>.%
mutate(.,
species = factor(species),
id = as.numeric(id),
id = as.factor(id),
date = (as.numeric(difftime(date, date[1], units = "days")))) %>.%
select(., -project, -author, -aqua, -condition, -status, -comment) -> t
# reshape data
t <- t[, c("id", "species", "date", "weight",
"salinity", "temperature")]
coral_growth1 <- t
# To include it as a dataset inside the package
usethis::use_data(coral_growth1, version = 3, overwrite = TRUE)
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