USGS-R/sedReview

Name: sedReview

Owner: USGS-R

Description: Functions for review of discrete NWIS sediment records. Package currently in development and testing.

Created: 2016-10-17 16:45:39.0

Updated: 2018-05-03 22:46:23.0

Pushed: 2018-05-03 22:46:22.0

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Size: 8537

Language: R

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README

sedReview

Overview

Package for USGS discrete sediment data review. IN DEVELOPMENT.

Package Status

|Linux|Windows| Test Coverage | USGS Status | |———-|————|————|————| Travis|Windows|Coverage Status|status

This package is considered a 'support' package. For more information, see: https://owi.usgs.gov/R/packages.html#support

Reporting Bugs

Users are encouraged to post any bugs or comments for additional functionality on the issues page at: sedReview Issues

You may also contact the maintainer at cpenn@usgs.gov

Description

This package facilitates data review and exploration of discrete sediment data. Data is imported with user-specified options for single or multiple sites and parameter codes using an ODBC connection to the user's local NWIS server. A graphical user interface is in development

Installation
all.packages("devtools")
ools::install_github(repo = "USGS-R/sedReview")
Disclaimer

This software is in the public domain because it contains materials that originally came from the U.S. Geological Survey, an agency of the United States Department of Interior. For more information, see the official USGS copyright policy

Although this software program has been used by the U.S. Geological Survey (USGS), no warranty, expressed or implied, is made by the USGS or the U.S. Government as to the accuracy and functioning of the program and related program material nor shall the fact of distribution constitute any such warranty, and no responsibility is assumed by the USGS in connection therewith.

This software is provided “AS IS.”

[

![CC0](http://i.creativecommons.org/p/zero/1.0/88x31.png)

](http://creativecommons.org/publicdomain/zero/1.0/)


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.