## code to prepare `Phytoplankton_Occupations_Stations` dataset
library(dplyr)
library(tidyr)
library(readr)
library(usethis)
# load data
# HL2
HL2_env <- new.env()
con <- url("ftp://ftp.dfo-mpo.gc.ca/AZMP_Maritimes/azmpdata/data/biochemical/Halifax-2/Microplankton_Data_Grouped.RData")
load(con, envir=HL2_env)
close(con)
# P5
P5_env <- new.env()
con <- url("ftp://ftp.dfo-mpo.gc.ca/AZMP_Maritimes/azmpdata/data/biochemical/Prince-5/Microplankton_Data_Grouped.RData")
load(con, envir=P5_env)
close(con)
# assemble metadata
df_metadata <- dplyr::bind_rows(HL2_env$df_metadata,
P5_env$df_metadata)
# assemble data
Phytoplankton_Occupations_Stations <- dplyr::bind_rows(HL2_env$df_abundance_grouped_l,
P5_env$df_abundance_grouped_l)
# clean up
rm(list=c("HL2_env", "P5_env"))
# target variables to include
target_var <- c("Diatoms" = "diatoms",
"Dinoflagellates" = "dinoflagellates",
"Flagellates" = "flagellates",
"Ciliates" = "ciliates",
"Microzooplankton" = "microzooplankton")
# print order
station_order <- c("HL2" = 1,
"P5" = 2)
# reformat data
Phytoplankton_Occupations_Stations <- Phytoplankton_Occupations_Stations %>%
dplyr::filter(variable %in% names(target_var)) %>%
dplyr::mutate(variable = unname(target_var[variable])) %>%
tidyr::pivot_wider(names_from=variable, values_from=value) %>%
dplyr::left_join(df_metadata, by="custom_sample_id") %>%
dplyr::mutate(order_station = unname(station_order[station])) %>%
dplyr::arrange(order_station, date) %>%
# dplyr::select(station, latitude, longitude, date, unname(target_var))
dplyr::select(station, date, unname(target_var))
# save data to csv
readr::write_csv(Phytoplankton_Occupations_Stations, "inst/extdata/csv/Phytoplankton_Occupations_Stations.csv")
# save data to rda
usethis::use_data(Phytoplankton_Occupations_Stations, overwrite = TRUE)
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