LifeWatch ERIC Metadata Catalogue
RvLab VRE
The RvLab is a very useful and powerful tool, both for users who are already familiar with R (and some of its functions) but also for students and/or scientists who are in favour of open source software and would like to dedicate some time to get familiar with its functions, without having to go through the steep command line R learning curve.
The RvLab makes use of "R" which is a statistical processing environment widely used by scientists working in many biodiversity related disciplines. It supports an integrated and optimized (in respect to computational speed-up and data manipulation) online R environment. This vLab tackles common problems faced by R users, such as severe computational power deficit. Many of the routines operating under the R environment, such as the calculation of several biodiversity indices and the running of the multivariate analyses, are often of high computational demand and cannot deliver a result when the respective datasets are in the form of large matrices.
The RvLab runs on a PC cluster, using version 3.1.2 (2014-10-31) on a x86_64-pc-linux-gnu (64-bit) platform, and offers an intuitive virtual environment interface enabling users to perform analysis of ecological and microbial communities based on optimized vegan functions.
The user can benefit from the availability of newly designed functions if the dataset to be analysed requires their implementation.
The RvLab is an interactive virtual laboratory; should the user require other types of functions, these can be added in the "laboratory" and become available online in a short time.
Default
Identification
- Date ( Publication )
- 2021
- Status
- Completed
- Version
- Not available
- Keywords
- R environment
- Keywords
- biodiversity
- Keywords
- virtual laboratory
- Access constraints
- Copyright
- OnLine resource
- Link to the VRE ( WWW:LINK-1.0-http--link )
- OnLine resource
- Info page ( WWW:LINK-1.0-http--link )
- Publications about this VRE
- Varsos, C., Patkos, T., Oulas, A., Pavloudi, C., Gougousis, A., Ijaz, U., Filiopoulou, I., Pattakos, N., Vanden Berghe, E., Fernández-Guerra, A., Faulwetter, S., Chatzinikolaou, E., Pafilis, E., Bekiari, C., Doerr, M., & Arvanitidis, C. (2016). Optimized R functions for analysis of ecological community data using the R virtual laboratory (RvLab). Biodiversity Data Journal 4: e8357. DOI: 10.3897/BDJ.4.e8357
- Publications about this VRE
- Pavloudi, C., Oulas, A., Vasileiadou, K., Kotoulas, G., De Troch, M., Friedrich, M. W., & Arvanitidis, C., (2017). Diversity and abundance of sulfate-reducing microorganisms in a Mediterranean lagoonal complex (Amvrakikos Gulf, Ionian Sea) derived from dsrB gene. Aquatic Microbial Ecology 79: 209. DOI: 10.3354/ame01829
