The objective of this package is to compile and evaluate historic water quality data to verify if the data supports impairments attributed to toxics. In order to accomplish this objective, data from various datasets are compiled and processed into one consistent dataset for comparing to numeric water quality criteria. Exceedances of the water quality criteria are determined and categorization reevaluation decisions are proposed based on the implementation of an approved decision logic.

You can install the development version of IRsupportR from GitHub with:

# install.packages("devtools")
devtools::install_github("LimnoTech/IRsupportR")

The repository can also be downloaded as a zip file by clicking on the green ‘code’ dropdown button.

This package contains several functions that encompass the analysis for reevaluating toxic impairments in District of Columbia waterbodies.

The original formatted data used for this analysis can be found in the data-raw folder. Data was compiled for seven different datasets and formatting was standardized across the datasets. The all_processed_data.R script is used to further process the data. The final output of the script is saved as all_processed_data.rda in the data folder.

In addition to the input data, the data folder contains various lookup tables used throughout the analysis. The package utilizes the .rda files. For ease of reference, .xlsx files have also been included for each lookup table.

The steps for the data analysis can be found in the worflow.R file. Source the contents of this document to complete the analysis. Functions are run to evaluate criteria, perform summary statistics, execute decision logic, and compile results tables.

Multiple tables and spreadsheets are produced from the analysis and saved in the output folder. They include the following:

• Intermediate results with criteria evaluated

  • criteria_results.csv

• Final results as CSVs

  • results_class_c.csv

  • results_class_d.csv

• Final results with merged cell formatting. Excel files required for merged cells. Csv files used for dataset parts with no merged cells

  • Class C

    • results_class_c_merge_part1.xlsx

    • results_class_c_merge_part2.xlsx

    • results_class_c_merge_part3.csv

  • Class D

    • results_class_d_merge_part1.xlsx

    • results_class_d_merge_part2.csv

• Final results as combined Excel spreadsheets. Includes merged cell formatting. Combined manually

  • merge_parts_manual/results_class_c_merged_all.xlsx
  • merge_parts_manual/results_class_d_merged_all.xlsx