Other packages > Find by keyword >

biogas  

Process Biogas Data and Predict Biogas Production
View on CRAN: Click here


Download and install biogas package within the R console
Install from CRAN:
install.packages("biogas")

Install from Github:
library("remotes")
install_github("cran/biogas")

Install by package version:
library("remotes")
install_version("biogas", "1.61")



Attach the package and use:
library("biogas")
Maintained by
Sasha D. Hafner
[Scholar Profile | Author Map]
First Published: 2015-03-06
Latest Update: 2020-01-08
Description:
High- and low-level functions for processing biogas data and predicting biogas production. Molar mass and calculated oxygen demand (COD') can be determined from a chemical formula. Measured gas volume can be corrected for water vapor and to (possibly user-defined) standard temperature and pressure. Gas quantity can be converted between volume, mass, and moles. Gas composition, cumulative production, or other variables can be interpolated to a specified time. Cumulative biogas and methane production (and rates) can be calculated using volumetric, manometric, gravimetric, or gas density methods for any number of bottles. With cumulative methane production data and data on bottle contents, biochemical methane potential (BMP) can be calculated and summarized, including subtraction of the inoculum contribution and normalization by substrate mass. Cumulative production and production rates can be summarized in several different ways (e.g., omitting normalization) using the same function. Biogas quantity and composition can be predicted from substrate composition and additional, optional data. Lastly, inoculum and substrate mass can be determined for planning BMP experiments.
How to cite:
Sasha D. Hafner (2015). biogas: Process Biogas Data and Predict Biogas Production. R package version 1.61, https://cran.r-project.org/web/packages/biogas. Accessed 12 Apr. 2025.
Previous versions and publish date:
1.0.1 (2015-05-28 12:06), 1.0 (2015-03-06 00:44), 1.1.0 (2015-07-29 16:02), 1.2.0 (2015-11-14 00:04), 1.2.1 (2015-11-14 16:12), 1.3.0 (2016-04-15 08:33), 1.4.0 (2016-05-24 14:49), 1.5.0 (2016-11-17 10:05), 1.6.0 (2016-12-16 08:33), 1.7.0 (2017-02-25 14:18), 1.8.0 (2017-08-09 19:57), 1.8.1 (2017-08-12 16:15), 1.9.0 (2018-01-03 14:15), 1.10.0 (2018-02-05 19:14), 1.10.2 (2018-05-02 12:06), 1.10.3 (2018-05-16 20:05), 1.23.2 (2020-01-08 13:40), 1.61 (2024-12-05 09:30)
Other packages that cited biogas R package
View biogas citation profile
Other R packages that biogas depends, imports, suggests or enhances
Complete documentation for biogas
Downloads during the last 30 days
03/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/0304/0404/0504/0604/0704/0804/0904/1004/11Downloads for biogas010203040506070TrendBars

Today's Hot Picks in Authors and Packages

sparseBC  
Sparse Biclustering of Transposable Data
Implements the sparse biclustering proposal of Tan and Witten (2014), Sparse biclustering of transpo ...
Download / Learn more Package Citations See dependency  
dials  
Tools for Creating Tuning Parameter Values
Many models contain tuning parameters (i.e. parameters that cannot be directly estimated from the d ...
Download / Learn more Package Citations See dependency  
oysteR  
Scans R Projects for Vulnerable Third Party Dependencies
Collects a list of your third party R packages, and scans them with the 'OSS' Index provided by 'So ...
Download / Learn more Package Citations See dependency  
modeest  
Mode Estimation
Provides estimators of the mode of univariate data or univariate distributions. ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
pampe  
Implementation of the Panel Data Approach Method for Program Evaluation
Implements the Panel Data Approach Method for program evaluation as developed in Hsiao, Ching and Ki ...
Download / Learn more Package Citations See dependency  

24,012

R Packages

207,311

Dependencies

64,867

Author Associations

24,013

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA