## code to prepare `Zooplankton_Seasonal_Broadscale` dataset
library(dplyr)
library(tidyr)
library(readr)
library(usethis)
# load data
con <- url("ftp://ftp.dfo-mpo.gc.ca/AZMP_Maritimes/azmpdata/data/biochemical/Ecosystem_Surveys_MAR/Means&Anomalies_Seasonal.RData")
load(con)
close(con)
# target variables to include
target_var <- c("Calanus finmarchicus" = "Calanus_finmarchicus",
"dw2_S" = "zooplankton_meso_dry_weight")
# print order
region_order <- c("5Ze" = 1,
"4V" = 2,
"4W" = 3,
"4X" = 4)
# reformat data
Zooplankton_Seasonal_Broadscale <- df_means %>%
dplyr::filter(variable %in% names(target_var)) %>%
dplyr::mutate(variable = unname(target_var[variable])) %>%
tidyr::pivot_wider(names_from=variable, values_from=value) %>%
dplyr::mutate(order_region = unname(region_order[region])) %>%
dplyr::filter((region=="5Ze" & season=="Winter") | (region %in% c("4V", "4W", "4X") & season=="Summer")) %>%
dplyr::arrange(order_region, year) %>%
dplyr::select(region, year, season, unname(target_var)) %>%
dplyr::rename(area = region)
# save data to csv
readr::write_csv(Zooplankton_Seasonal_Broadscale, "inst/extdata/csv/Zooplankton_Seasonal_Broadscale.csv")
# save data to rda
usethis::use_data(Zooplankton_Seasonal_Broadscale, overwrite = TRUE)
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