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Disclaimer

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The following resources are provided for reference purposes only. Their inclusion on this Web page, created by EcoC²S/Irucka Embry, does not represent any endorsement on the part of EcoC²S/Irucka Embry nor does it represent their endorsement of EcoC²S/Irucka Embry. The use of any of the listed software libraries, programs, tools, etc. and the interpretation of any results obtained remains the responsibility of the user. As well, the use of any of the resources and the interpretation of any results obtained remains the responsibility of the user. {This disclaimer is a revised version of the one found online at Internet Finite Element Resources (IFER) [Recovered with the Internet Archive: Wayback Machine].}



Donations accepted with Liberapay

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If you would like support the work that I am doing to contribute to the continued development of Irucka Embry’s R packages and/or Irucka Embry’s R Examples, please feel free to donate via the link below:



Please feel free to review Irucka Embry (iaembry)’s profile on Liberapay.



Irucka Embry’s R Contributions [Questions and Answers on Stack Overflow, R Packages, & R Contributions to Existing Projects}

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Irucka Embry’s R Examples

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iemiscdata R Examples

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iemisc R Examples

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Civil, Environmental, and Water Resources Engineering & Mathematics R Examples

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Data Analysis R Examples

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Irucka Embry’s Previous R Trainings for his Tennessee State University (TSU) & USGS Colleagues And TSU Freshman Engineering Students

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R Applications

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The R programming language can be used in a variety of ways, such as, but not limited to:




R Resources

R Introduction and Tutorials

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Applications built with R as a back-end

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Other R Resources

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CRAN Task Views

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R GUIs (Graphical User Interface) — Using R with a GUI

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R for Users of other Statistical Software

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R for Users of other Applications & Programming Languages (GNU Octave/MATLAB®, Python, Databases, Spreadsheet Applications, etc.)

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Why you should ditch Microsoft Excel

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Connecting R to and from other Programming Languages & Applications

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R and GNU/Linux / *NIX Command Line Tools (R can process system commands too)

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Data Analysis and Large Data with R

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Data Visualization (Plotting/Graphing) with R

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GIS and R Resources

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Creating Documents, Presentations, and Reports with R and friends

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R and Reproducible Research

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Programming with R

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Regular Expressions (Advanced Find/Replace)

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Develop R (G)UIs [(Graphical) User Interface]

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R Packages

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Creating R Packages

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R Package Repositories

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Software Testing and Debugging

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STEM (Science, Technology, Engineering, and Mathematics) and R

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Time Series Analysis and R

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Probability, Statistics, and R

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Multivariate Statistics and R

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USGS and R

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EGRET/WRTDS

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(Eco)Hydrology Applications with R

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Non-R software and resources

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Statistical Analysis & Hydrology

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SPARROW

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