psiQC
is an R package designed to facilitate quality control in leaf water potential measurements, integrated with the SAPFLUXNET database. This package provides tools and scripts to ensure data integrity and reliability.
Currently, psiQC
is available as a development version on GitHub. You can install it using devtools
:
# Install devtools if you haven't already
if (!requireNamespace("devtools", quietly = TRUE)) {
install.packages("devtools")
}
# Install psiQC from GitHub
devtools::install_github("vflo/psiQC")
To effectively use psiQC
follow these steps:
Start by creating a new R project. This will be your working environment where all scripts and data will be organized.
server_preparation_script.R
script found in the inst/run_scripts
directory of the psiQC
package. This initial step sets up your working environment and prepares it for the quality control of your data.received_data
directory located at the root of your project. The path will typically look like ./received_data/ARG_MAZ.xlsx
. Ensure your data files, such as Excel spreadsheets, are correctly named and placed in this directory for processing.main_script.R
found in your R project root. This script conducts a comprehensive series of quality control checks on your data. Make sure to follow any additional instructions specified within the main_script.R
.psiQC
generates a detailed QC report. These reports highlight any identified issues with the data.psiQC
is licensed under the MIT License Creative Commons Attribution 4.0 International (CC BY 4.0) licensing guidelines.
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