valdiman / r-codes-for-east-chicago-soil-pcb-analysis

R codes developed for East Chicago PCB soil paper. Codes describe how to create the maps and figures (ECSoilFigures.R), as well as all the statistical analyses (ECSoilStatTest.R) performed in the paper. All data are available and download from Pangaea. This is part of Project 6 of the ISRP (https://iowasuperfund.uiowa.edu/)

README file

This work is licensed under a Creative Commons Attribution 4.0 International License.

This README file was generated on March 02 2022 by Andres Martinez (ORCID: 0000-0002-0572-1494)

This README file describes both scripts statistical analysis and figures (maps and plots) use for the East Chicago Soil paper. The data can be downloaded from PANGAEA (https://doi.org/10.1594/PANGAEA.941894), using the R package pangaear (https://cran.microsoft.com/snapshot/2022-01-01/web/packages/pangaear/pangaear.pdf).

This work was supported by the National Institutes of Environmental Health Sciences (NIEHS) grant #P42ES013661 and the University of Iowa’s Environmental Health Sciences Research Center. 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.

Citations

Citation for the data:

Martinez, Andres; Hua, Jason; Haque, Ezazul; Hornbuckle, Keri C.; Thorne, Peter (2022): Dataset: Concentrations of individual polychlorinated biphenyl congeners and total organic carbon in soils from East Chicago, Indiana, USA. Pangaea, https://doi.org/10.1594/PANGAEA.941894

Publication citation:

Martinez, Andres; Hua, Jason; Haque, Ezazul; Hornbuckle, Keri C.; Thorne, Peter S. (2022): Occurrence and spatial distribution of individual polychlorinated biphenyl congeners in residential soils from East Chicago, southwest Lake Michigan. https://doi.org/10.1016/j.scitotenv.2022.157705

Software installation

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:

1. Visit the following web address: https://www.rstudio.com/products/rstudio/download/
2. Click the "download" button beneath RStudio Desktop
3. Click the button beneath "Download RStudio Desktop". This will download the correct installation file based on the operating system detected.
4. Run the installation file and follow on-screen instructions.

R files description

Two R files (scripts) are included in this repository. ECSoilStatTest.R performs all the statistical tests and analyses included in the scientific paper, whereas ECSoilFigures.R includes how to create all the figures and maps in the scientific paper. it is recommended to create a Project in Rstudio and paste both R files in two scritps and save then as the original names.