This work is licensed under a Creative Commons Attribution 4.0 International License.
Deposit Title: PCB partitioning in multiwell setup experiments
Contributor information:
Andres Martinez, PhD University of Iowa - Department of Civil & Environmental Engineering Iowa Superfund Research Program (ISRP) andres-martinez@uiowa.edu ORCID: 0000-0002-0572-1494
This README file was generated on April 25 2022 by Andres Martinez.
This work was supported by the National Institutes of Environmental Health Sciences (NIEHS) grant #P42ES013661. The funding sponsor did not have any role in study design; in collection, analysis, and/or interpretation of data; in creation of the dataset; and/or in the decision to submit this data for publication or deposit it in a repository.
This README file describes a revised version of scripts for calculating the individual fraction of PCBs in multiwell experiments used in this paper:
The script is developed for individual PCB congeners, various FBS concentration, as well as various cell concentrations. Three PCB mixtures are modeled here, i.e., Cabinet, Aroclor 1016 (top 12) and Aroclor 1254 (top 12).
File Name: Partitioning File Size: X kb File Format: .R File description: Contains the raw code for the calculation of individual PCB fractions in "R".
This section of the ReadMe file lists the necessary software required to run codes in "R".
Software:
- Any web browser (e.g., Google Chrome, Microsoft Edge, Mozilla Firefox, etc.)
- R-studio for easily viewing, editing, and executing "R" code as a regular "R script" file: https://www.rstudio.com/products/rstudio/download/
This section of the ReadMe file provides short instructions on how to download and install "R Studio". "R Studio" is an open source (no product license required) integrated development environment (IDE) for "R" and completely free to use. To install "R Studio" follow the instructions below:
- Visit the following web address: https://www.rstudio.com/products/rstudio/download/
- Click the "download" button beneath RStudio Desktop
- Click the button beneath "Download RStudio Desktop". This will download the correct installation file based on the operating system detected.
- Run the installation file and follow on-screen instructions.