Title: iMacros for Firefox
Body: iMacros was designed to automate the most repetitious tasks on the web. With iMacros, you can quickly fill out web forms, remember passwords, create a webmail notifier, download information from other sites, scrape the Web (get data from multiple sites), and more. You can keep the macros on your computer for your own use, or share them with others by embedding them on your homepage, blog, company Intranet or any social bookmarking service.
Web professionals can use iMacros for functional, performance, and regression testing of web applications. The built-in STOPWATCH command captures precise web page response times. iMacros also includes support for many AJAX elements.
iMacros can be combined with other extensions such as Greasemonkey, Web Developer, Firebug, Stylish, Download Statusbar, NoScript, PDF Download, Foxmarks, Fasterfox, All-in-One Sidebar, Megaupload, Foxyproxy, Flashblock and Adblock.
Technical Expertise Required: Basic programming skills
Cost: Free
Additional Information: www.iopus.com/imacros/firefox
Title: IMSL Numerical Libraries
Body: The IMSL Numerical Libraries provide a wide variety of mathematical and statistical algorithms written in various programming languages for easy incorporation by programmers. There are libraries for C, Fortran, Java, .NET, and Python (through wrappers). These algorithms are not only useful for desktop applications, but also can be applied to High Performance Computing (HPC) and High Throughput Computing (HTC). IMSL provides a comprehensive set of mathematical and statistical functions that programmers can include into the software applications they are developing. The statistical functions include time series, correlation, data mining, regression, neural networks and many more. The mathematical functions include matrix operations, linear algebra, nonlinear equations, optimization, genetic algorithms and many more.
Technical Expertise Required: Advanced
Cost: Cost-basis
Additional Information:
Title: JMP
Body: JMP is a desktop software package designed by SAS for dynamic data visualization and statistical data exploration. JMP includes an interactive graph builder that supports a wide variety of two- and three-dimensional graph types, and statisical reports are displayed along with plots for assessment and interpretation. Data can be loaded into JMP from common desktop file formats (e.g. text and spreadsheet files), as well as from a database or SAS server, and reports and visualizations can be exported in HTML, PDF and Adobe Flash formats for displaying and sharing results. JMP also integrates with the full SAS statistical software package to support more comprehensive analyses.
Technical Expertise Required: No programming
Cost: Cost-basis
Additional Information: Schlotzhauer, S. 2007. Elementary Statistics using JMP. SAS Press. 480pp. (ISBN: 978-1-59994-375-6)
Title: Minitab 16
Body: Minitab 16 is commercial software for data analysis, graphing, and statistics. It is interactive and menu-driven, and users are guided through the data analysis process according to "assistant" dialog boxes. The software can be used to run basic statistics including parametric regression and analysis of variance, survival analysis, and a limited number of multivariate analysis. Users can also graph data and statistical models, analyze experimental design and do power analysis, and store and manipulate data.
Minitab 16 is marketed to commercial businesses although they also offer unspecified discounts for "qualified academic users."
Technical Expertise Required: No programming
Cost: Cost-basis
Additional Information:
Title: OpenBUGS
Body: OpenBUGS is software for running Markov Chain Monte Carlo (MCMC) simulations following Bayesian statistical theory. It is one of two software packages created for Bayesian Inference Using Gibbs Sampling, or BUGS. OpenBUGS is so named because it runs on multiple operating systems; the WinBUGS software can be used with Windows operating systems (see WinBUGS tool in the DataONEpedia for details).
Bayesian inference is built on specified probabilities of models and evaluated using MCMC simulation including error components. OpenBUGS implements these simulations and "samples" them according to user-defined criteria. OpenBUGS can be used as a stand-alone application but can also be integrated with R statistical software.
OpenBUGS requires thorough knowledge of Bayesian statistics to create and evaluate models appropriately.
Technical Expertise Required: Advanced
Cost: Free
Additional Information:
Title: Oriana
Body: Oriana is a tool for calculating statistics for circular or radial data (angles or directions measured in degrees, time of day, day of week, month of year, etc.). It can be used for orientation data (direction taken from a point), for describing and comparing species temporal distributions and ranges, and other types of data that are not directly handled in most statistics packages. It provides basic statistics such as mean vector and confidence limits, single sample distribution tests (Rayleigh's), and also pairwise and multisample tests such as Watson-Williams F-Test and chi-squared test, and correlations. Oriana can graph your circular data in a variety of ways, including rose diagrams, circular histograms or wind roses.
Technical Expertise Required: No programming
Cost: Cost-basis
Additional Information:
Title: OriginPro
Body: OriginPro is an expanded version of Origin, both of which are software for data management, statistics, and graphics. OriginPro is point-and-click interactive software and uses multiple windows to manage data and run analyses. A variety of graphics can be created using a graph editor and exported for incorporation with the Microsoft Office suite. Data management is done through worksheets bundled into project management files. There are a limited number of statistical analyses available including basic descriptive statistics, linear regression and analysis of variance, survival analysis and non-parametric tests. Signal processing tools such as Fast Fourier Transform (FFT), and peak analysis tools are also available in OriginPro. Analyses can be scripted using the custom programming languages (LabTalk and Origin C).
OriginPro is sold at a discount to students for personal use.
Technical Expertise Required: No programming
Cost: Cost-basis
Additional Information:
Title: PSPP
Body: PSPP is a program for statistical analysis of sampled data, and is a free replacement for the proprietary program SPSS. PSPP can perform descriptive statistics, T-tests, linear regression and non-parametric tests. Its back-end is designed to perform its analyses as fast as possible, regardless of the size of the input data. You can use PSPP with its graphical interface or the more traditional syntax commands. Some benefits are that PSPP uses SPSS files and is compatible with OpenOffice and can support 1 billion data observations.
Technical Expertise Required: No programming
Cost: Free
Additional Information: http://www.gnu.org/software/pspp/pspp.html
http://www.gnu.org/
http://en.wikipedia.org/wiki/PSPP
Title: SAS
Body: SAS is an integrated system of software that enables everything from data access across multiple sources to complex manipulations of data files to performance of sophisticated statistical analyses and data visualizations. Three of SAS' most popular software products that are commonly used by ecologists are Base SAS, SAS/STAT, and SAS/GRAPH. SAS is available for Windows and UNIX platforms. GUIs make SAS accessible to novice users and the command-line interface facilitates development of programs for complex data processing.
Technical Expertise Required: Basic programming skills
Cost: Cost-basis
Additional Information: Khattree, Ravindra and Dayanand N. Naik. 2000. Multivariate Data Reduction and Discrimination with SAS Software. Cary, NC: SAS Institute Inc. 978-1-58025-357-4
Littell, Ramon C., George A. Mi lliken, Walter W. Stroup, Russell D. Wolfinger, and Oliver Schabenberger. 2006.SAS for Mixed Models, Second Edition. Cary, NC: SAS Institute Inc. ISBN: 978-1-59047-500-3
SAS Essentials: A Guide to Mastering SAS for Research. 2010. Elliott, Alan C. and Wayne A. Woodward. San Francisco: John Wiley and Sons, Inc. ISBN: 978-0470461297
Delwiche, Lora D. and Susan J. Slaughter. 2008. The Little SAS Book: A Primer (Fourth Edition). Cary, NC: Sas Institute Inc. ISBN: 978-1-59994-725-9
Burlew, Michele. 2009. Combining and Modifying SAS Data Sets: Examples, Second Edition. Cary, NC: SAS Institute Inc. ISBN: 978-1-59047-920-9
Title: SAS Enterprise Miner
Body: SAS Enterprise Miner streamlines the data mining process to create predictive and descriptive models based on analysis of large amounts of data. Data can be accessed from local files or from remote database connections. SAS data mining software uses a point-and-click interactive interface to create workflows and analysis diagrams, and then execute them. SAS Miner can transform and manipulate data using filters and statistical analyses to extract desired data from large datasets.
Technical Expertise Required: Advanced
Cost: Cost-basis
Additional Information:
Title: Scientific Python Development Environment (SPYDER)
Body: SPYDER is a free software environment for visualization, numerical calculation, and data analysis. It provides a graphical development environment for the Python programming language and leverages many scientific and engineering packages including Matplotlib, NumPy and others. It is available on Windows, Mac OS X, and GNU/Linux.
Technical Expertise Required: Basic programming skills
Cost: Free
Additional Information:
Title: SigmaPlot
Body: SigmaPlot is a commercial software package primarily used for data analysis and publication-quality visualization. Data can be input directly into a table or imported from basic ascii or Microsoft Excel files. Data summarization (e.g., mean, sum) and analysis tools (e.g., parametric and non-parametric statistics, regression, and correlation) operate on the data at a click of the mouse. Graphs or charts in 2-D or 3-D (e.g., line, bar, and pie charts, histograms, heat maps, surfaces) are created via a wizard. Batches of files can be analyzed and graphed automatically. SigmaPlot can also create default or user-defined reports. Specialized functionality of SigmaPlot includes instrument calibration, medical test analysis, and molecular biology tools.
Technical Expertise Required: No programming
Cost: Cost-basis
Additional Information:
Title: Spotfire Miner
Body: Spotfire Miner is software for data mining of large datasets. It is sold commerically by TIBCO.
Users can connect to remote or local datasets, apply statistical and methodological filters, clean and transform the data, and finally apply a model to produce the desired mined data. Statistical models include clustering, regression analysis, and principal components analysis. Models based on historical data can then be used to predict future results based on newly mined data.
Technical Expertise Required: Basic programming skills
Cost: Cost-basis
Additional Information:
Title: SPSS
Body: SPSS is a desktop statistical software package that is centered around modeling and statistics. SPSS can access data from many different proprietary and open source data sets and has decent graphing and very good statistical modeling capabilities. One weakness (Up to version 17), is the presentation quality of graphs. Other packages do a much better job at data presentation.
Technical Expertise Required: No programming
Cost: Cost-basis
Additional Information: http://www.spss.com/statistics/
http://en.wikipedia.org/wiki/Spss
Title: SPSS Amos
Body: IBM SPSS Amos is a tool used for structural equation modeling. It features drag-and-drop drawing tools and produces graphics of final models for presentation.
Amos uses standard methods – including regression, factor analysis, correlation and analysis of variance. It can be used to create models to test hypotheses and confirm relationships amongst variables.
Technical Expertise Required: No programming
Cost: Cost-basis
Additional Information:
Title: Stata
Body: Stata 11 is software for data management, statistics, and graphics. Stata uses point-and-click interaction and help to guide users through tasks. Logs can be created and stored as repeatable scripts, so that data management and analysis are completely documented. Users can perform statistical analyses ranging from basic statistical summaries and linear regression models to multilevel mixed-effects modeling, generalized linear modeling, resampling and simulation, and many multivariate analyses. A graph editor allows users to produce figures based on the data and statistical models. Stata also includes a custom programming language (Mata) for programming customizations. At this time, Stata 11 is the latest version.
Stata comes in four different application "packages" which vary based on size of dataset and processing need. A "Small Stata" is available only to educational purchasers including students, with a limited number of variables and observations permitted in the dataset.
Many local as well as national users groups for Stata exist and hold regular meetings in addition to creating online support communities.
Technical Expertise Required: No programming
Cost: Cost-basis
Additional Information:
Title: The Predictive Ecosystem Analyzer (PEcAn)
Body: The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox and data assimilation system that synthesizes information contained in ecological models, data, and expert knowledge. This is done using modern statistical methods and state-of-the art ecosystem models. PEcAn has a web interface that enables users to run ecosystem models, as well as a suite of R packages that can be used for model-data fusion and more sophisticated analysis.
Technical Expertise Required: Basic programming skills
Cost: Free
Additional Information: PEcAn can be used to run ecosystem models through a web-based user interface, while advanced analyses can be performed using its suite of R packages. New models can be linked to PEcAn through the creation of model-specific wrapper functions that convert translate to and from the standard formats used by PEcAn. Although PEcAn is currently coupled to three diverse ecosystem models, it can be coupled to a broad class of simulation models. Integrating a new model requires writing a wrapper in R to convert inputs and outputs to and from the standards used by PEcAn, and registering the model and computer in the database.
PEcAn source repository is hosted at GitHub: (http://github.com/PecanProject/pecan). See the Wiki (http:// github.com/PecanProject/pecan ) for more information.
Citations:
LeBauer, D.S., D. Wang, K. Richter, C. Davidson, & M.C. Dietze. (2013). Facilitating feedbacks between field measurements and ecosystem models. Ecological Monographs. doi:10.1890/12-0137.1
Wang, D, D.S. LeBauer, and M.C. Dietze (2013) Predicting yields of short-rotation hybrid poplar (Populus spp.) for the contiguous US through model-data synthesis. Ecological Applications doi:10.1890/12-0854.1
Dietze, M.C., D.S LeBauer, R. Kooper (2013) On improving the communication between models and data. Plant, Cell, & Environment doi:10.1111/pce.12043
Title: TMI-Orion QLEVER
Body: TMI-Orion is a manufacturer of data sensors and data loggers. They have custom software called QLEVER to configure, test, record data and perform basic statistics on the data streams resulting from the sensors. The software can manage the sensors (in some cases remotely), and evaluate sensor battery life and technical performance.
Technical Expertise Required: No programming
Cost: Cost-basis
Additional Information:
Title: WinBUGS
Body: WinBUGS is software for running Markov Chain Monte Carlo (MCMC) simulations following Bayesian statistical theory. It is one of two software packages created for Bayesian Inference Using Gibbs Sampling, or BUGS. WinBUGS is so named because it runs on windows operating systems; the OpenBUGS software can be used on other operating systems (see OpenBUGS entry).
Bayesian inference is built on specified probabilities of models and evaluated using MCMC simulation including error components. WinBUGS implements these simulations and "samples" them according to user-defined criteria. WinBUGS can be used as a stand-alone application but can also be integrated with R statistical software using the R2WinBUGS package in R.
WinBUGS requires thorough knowledge of Bayesian statistics to create and evaluate models appropriately.
Technical Expertise Required: Advanced
Cost: Free
Additional Information: