## code to prepare `wide_data` dataset goes here
# libraries
library(dplyr) # for piping and data manipulation functions
library(strings) # to compile data
# SECTION 1: Define the path and variables ------------------------------------------------------------------
# path to Log, Hobo, aquaMeasure, and Vemco folders
path <- file.path("data-raw")
# trim the observations to the deployment and retrieval dates?
trim_dates <- TRUE
# SECTION 2: Extract deployment information from the log ------------------
# Only modify this section if one type of sensor is not included on the string.
# Set the argument for this sensor to NULL
# extract info from the deployment log
log_info <- read_deployment_log(path)
# station name
area = log_info$area.info$station
# deployment dates
deployment <- log_info$deployment.dates
# hobo serial table
serial.table.HOBO <- log_info$HOBO
# SECTION 3: Compile data -------------------------------------------------
hobo_data <- compile_HOBO_data(path = path,
deployment.range = deployment,
area.name = area,
trim = trim_dates,
# hobo
serial.table.HOBO = serial.table.HOBO)
usethis::use_data(hobo_data, overwrite = TRUE)
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