# Libraries
library(psiQC)
library(tidyverse)
library(DT)
# params <- list(
# wd = '../',
# md_file = 'Data/ESP_GUA_VAL/Accepted/ESP_GUA_VAL.xlsx',
# psi_data_file = 'Data/ESP_GUA_VAL/Accepted/ESP_GUA_VAL.xlsx',
# code = 'ESP_GUA_VAL'
# )
#
# params <- list(
# wd = '../',
# md_file = 'Data/ARG_TRE/Accepted/ARG_TRE.xlsx',
# psi_data_file = 'Data/ARG_TRE/Accepted/ARG_TRE.xlsx',
# code = 'ARG_TRE'
# )
params <- list(
wd = '../',
md_file = 'FOO.xlsx',
psi_data_file = 'FOO.xlsx',
code = 'FOO'
)
logger_name <- 'test'
# Data load
## site_md
site_md <- dl_metadata(params$md_file, 'Data', data_type = "site_md",
parent_logger = logger_name)
## plant_md
plant_md <- dl_metadata(params$md_file, 'Data', data_type = "plant_md",
si_code_loc = site_md, parent_logger = logger_name)
## psi_data
psi_data <- dl_metadata(params$psi_data_file, 'Data', data_type = "psi_data",
si_code_loc = site_md, parent_logger = logger_name)
## questionnaire
questionnaire_md <- dl_metadata(params$md_file, 'Questionnaire',
si_code_loc = site_md,
parent_logger = logger_name)
################################################################################
#Simplify questions of the questionnaire
questionnaire_simplified <- qc_simplify_questions(questionnaire_md)
################################################################################
# md qc
## metadata columns
md_cols <- bind_rows(
qc_md_cols(site_md, 'site_md', parent_logger = logger_name),
qc_md_cols(plant_md, 'plant_md', parent_logger = logger_name),
qc_md_cols(psi_data, 'psi_data', parent_logger = logger_name),
qc_md_cols(questionnaire_simplified, 'Questionnaire', parent_logger = logger_name)
)
## factor variables values
factor_values <- qc_factor_values(site_md, plant_md, psi_data,
parent_logger = logger_name)
## email
email_check <- qc_email_check(site_md, parent_logger = logger_name) %>% unique()
## coordinates
site_md_coordfix <- qc_coordinates(site_md, parent_logger = logger_name) %>% unique()
## species
plant_md_spnames <- qc_species_names_info(
plant_md$pl_species,
parent_logger = logger_name
) %>%
mutate(Md = 'pl')
plant_md$pl_species <- qc_species_names(plant_md$pl_species,
parent_logger = logger_name)
plant_md <- qc_measured_sfn(plant_md, parent_logger = logger_name)
## plant treatment check
pl_treatments_check <- qc_pl_treatments(plant_md, parent_logger = logger_name)
################################################################################
# data qc
## timestamp
psi_data_fixed <- qc_as_timestamp(psi_data, site_md, logger_name)
## timestamp NAs
psi_timestamp_nas <- qc_timestamp_nas(psi_data_fixed, logger_name)
## psi NAs
psi_nas <- qc_psi_nas(psi_data_fixed, logger_name)
## psi SE NAs
psi_SE_nas <- qc_psi_SE_nas(psi_data_fixed, logger_name)
## psi N NAs
psi_N_nas <- qc_psi_N_nas(psi_data_fixed, logger_name)
## extraterrestrial ratiation and timestamp
psi_data_fixed <- qc_ext_radiation(psi_data_fixed, site_md,TRUE)
################################################################################
# create the psiData object and save it as a RData file for later use
## psidata_object
psi_data_object <- psi_data_constructor(
psi_data = psi_data_fixed,
site_md = site_md_coordfix,
plant_md = plant_md,
question_md = questionnaire_simplified,
parent_logger = logger_name
)
# save it!
assign(params$code, psi_data_object)
save(list = c(params$code),
file = file.path('Data', params$code, 'Lvl_1',
paste(params$code, '.RData', sep = '')),
envir = environment())
################################################################################
# results md_qc table
qc_md_results_table(md_cols, factor_values, email_check, site_md_coordfix,
plant_md_spnames, parent_logger = logger_name)
################################################################################
################################################################################
# table
qc_data_results_table(psi_data_fixed, psi_timestamp_nas,
psi_nas, psi_SE_nas, psi_N_nas,
parent_logger = logger_name)
################################################################################
# 2.2.6 saving the fixed datasets and the objects created in the level1 folder
df_accepted_to_lvl1_psi(
params$code, psi_data_fixed,
site_md_coordfix, plant_md, questionnaire_simplified,
parent_logger = 'DataFlow'
)
# saving Rdata file with all the objects (just in case)
save(list = ls(all.names = TRUE),
file = file.path('Data', params$code, 'Lvl_1',
paste(params$code, 'objects.RData', sep = '_')),
envir = environment())
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