S-PLUS 8 - Exploratory Data Analysis
The practice of using analytics across all functional areas of the business enterprise is recognized as a key competitive advantage by market leaders across all industries. While any company can look at the simple statistics of its day-to-day operations, industry leaders are utilizing predictive analytics to identify or create and exploit their advantages in operations, customer management, production and research. That is why market leaders around the world use S-PLUS.
S-PLUS 8 continues to deliver the advantages of an open architecture, scalability and flexibility to integrate advanced analytics into your everyday business processes. Superior graphic output and the ability to employ cutting edge statistics ensure you are armed with the knowledge to act at every critical decision point and clearly communicate to all audiences regardless of their level of technical expertise.
New Features in S-PLUS 8.0 Enterprise Developer
The S-PLUS Workbench enhancements: Building on our success with the 7.0 release we have added new capabilities to speed your development efforts and improve the quality of your code.
- Debugger tool: The interactive debugger allows users to quickly debug S-PLUScode from within the S-PLUSworkbench. The application has modern debugging tools including step debugging and breakpoints.
- Profiler tool: The profiler provides an environment for writing and developing functions in S-PLUSthat allow profiling of time and memory allocation within S-PLUStasks. You can now optimize the code’s execution by evaluating where bottlenecks may occur.
With the enhanced S-PLUSWorkbench, you can create reliable statistical applications for deployment across the enterprise with greater speed than ever before.
New graphic enhancements: Already a leading platform for graphics creation and delivery, in version 8 we have included a larger and normalized color palette as well as simplifying the code necessary to deliver complex graphs and charts. Whether you are creating graphics for submission to a regulatory agency, distributing to a group of executive decision-makers, or creating for publication, S-PLUS 8 Enterprise Developer makes this task easier and more time efficient.
New S-PLUSPackage System: With published packages available S-PLUS 8 Enterprise Developer provides a convenient framework for creating and distributing libraries for S-PLUSand for converting R packages for use in S-PLUS.
S™ language extensions: Over one hundred new functions have been added in order to support the graphics enhancements, S-PLUSPackage System and to augment compatibility with S-PLUSopen source cousin; R. Types of functions that have been added include math, character, file manipulation and string manipulation.
| Life Science Solutions | Finance Solutions |
|---|---|
| Support all phases of pre-clinical and clinical development. | Help Banking, Insurance and Investment customers address the ever changing Risk and Investment Management challenges unique to each industry. |
| Meet the requirements of a validated environment while providing significant gains in productivity and efficiency. | Market Risk |
| Deliver the knowledge to act for effective drug development. | Credit Risk |
| Statistical Graphics | Risk Aggregation/Capital Management |
| Clinical Reporting, Data Review, Trial Design | Basel II |
| Clinical Safety Data Analysis | Solvency II for Insurance |
| Portfolio Optimization | |
| Trading Strategies | |
| Manufacturing Solutions | Telecommunications Solutions |
| Design and Analysis of Experiments | Business Performance Reporting |
| Reliability Analysis and Life Expectancy | Reduce Customer Churn |
| Field Failure Analysis and Reporting | Fraud Detection |
| Supply Chain Optimization | Data Quality Management |
| Demand Forecasting, Optimization and Reporting | Marketing Campaign Analysis |
| Statistical Process Control/Six Sigma | Customer Behavior Modeling | Academic Solutions | Government Solutions |
| Offers wide range of statistical data analysis and data mining products for administrators, faculty members, institutional researchers and students. | Provides rigorous analytical solutions, help to increase efficiencies, discover trends and reduce spending. |
S+SpatialStats is the first comprehensive, object-oriented software package for the analysis of spatial data. Providing a whole new set of analysis tools, S+SpatialStats was created specifically for the exploration and modeling of spatially correlated data.
Taking full advantage of the object-oriented methods and modeling language of S- PLUS , S+SpatialStats allows you to analyze data with spatial structure thoroughly and correctly. S+SpatialStats can be used to analyze data arising in technical areas such as environmental, mining and petroleum engineering, natural resources, geography, epidemiology, demography and others where data is sampled spatially.
ADVANCED SIGNAL AND IMAGE ANALYSIS SOFTWARE
One of the most exciting developments in applied mathematics is now available for widespread application. With S+Wavelets, you can apply wavelet analysis to an extremely broad range of problems involving signal, time series, or image data. Now there's a comprehensive, modern approach to advanced signal and image analysis, time series analysis, statistical signal estimation, and data compression analysis.
The S+Wavelets toolkit provides a powerful new set of analysis tools, created specifically for scientific and technical data. Working together with the award-winning S- PLUS data analysis environment, S+Wavelets goes well beyond the capabilities of the Fourier transform for many kinds of signals and images. S+Wavelets can be used for many practical applications, including signal processing, medical imaging, time series analysis, pattern recognition, non-linear signal estimation, and data compression. S+Wavelets helps you develop a complete understanding of data using time-frequency displays, multi-resolution analysis, automatic signal estimation/extraction and denoising, and a comprehensive set of exploratory data analysis plots for wavelet decompositions.
Key Benefits
- A comprehensive, modern approach to advanced signal and image, time series, statistical signal and data compression analysis.
- Powerful analytics available in flexible, extensible environment of S- PLUS
- Robust wavelet analysis including discrete wavelet transformations, non-decimated wavelet transforms and more.
MODERN AND FLEXIBLE ANALYTICS FOR POWERFUL ECONOMETRIC ANALYSIS
S+FinMetrics is the most comprehensive, cutting-edge software for modeling, analyzing, and visualizing financial market data. The software offers the most modern, and flexible analytic environment for reliable and robust, predictive econometric modeling.
Key Benefits
- Modern, flexible econometric analysis
- Sophisticated modeling optimizes complex, dynamic trading systems
- Reliable, proven performance including rolling estimate and backtesting strategies
S+NuOPT is a cutting-edge software package capable of solving very large optimization problems. Designed for analysts and decision makers, NUOPT for S- PLUS is used for a wide range of applications including portfolio optimization, nonlinear and robust statistical modeling, and circuit optimization. The full power of the S- PLUS language is integrated with NUOPT. No other package can match this combination of powerful statistics and graphics with large-scale optimization problem solving, including:
Key Benefits
- Linear programming
- Mixed integer programming
- Transportation
- Quadratic programming
- Unconstrained nonlinear optimization
- Multi-objective programming
S+ArrayAnalyzer helps you improve and maximize your investment in micro array analysis because it offers:
- Rigorous statistical analysis of microarray data made easy
- Interactive graphical reporting , automated annotation, and publication quality output
Complete solution and extensible development environment enabling you to adapt quickly to changes in workflows or methods.
THE PREMIER PACKAGE FOR THE DESIGN, MONITORING, AND ANALYSIS OF CLINICAL TRIALS
S+SeqTrial is an S- PLUS software library for designing, monitoring, and analyzing clinical trials using group sequential methods. In a classical fixed sample design, the sample size is set in advance of collecting any data. In sequential design, data are monitored throughout the collection, and the data may be analyzed after a block of data is accrued. This is especially beneficial if electronic data capture (EDC) methods are used for data collection.
Key Benefits
- Reduced clinical trial costs using group sequential methods
- Improved study design and comprehensive design and evaluation tools
- Flexible monitoring methods
- Advanced visualization tools for analyzing and interpreting results
Environmental Stats for S-PLUS 2.0
A COMPREHENSIVE SOFTWARE PACKAGE FOR ENVIRONMENTAL STATISTICS
EnvironmentalStats for S-PLUS, an add-on module to S-PLUS, provides a set of powerful yet simple-to-use pull-down menus and functions for performing graphical and statistical analyses of environmental data. The software brings the major environmental statistical methods found in the literature and regulatory guidance documents into one statistical package, along with an extensive hypertext help system that explains what these methods do, how to use these methods, and where to find them in the environmental statistics literature. Also included are numerous built-in data sets from regulatory guidance documents and the environmental statistics literature.
EnvironmentalStats for S- PLUS will be useful to anyone who has to make sense of environmental data, including hydrologists, soil scientists, atmospheric scientists, geochemists, environmental engineers and consultants, hazardous and solid waste site managers, and regulatory agency analysts and enforcement officers. Parts of EnvironmentalStats for S- PLUS incorporate statistical methods that have appeared in the environmental literature but are not commonly found in any statistical software package. Parts of EnvironmentalStats for S- PLUS are specifically aimed at users who are required to collect and analyze environmental monitoring data in order to comply with federal and state Superfund, RCRA, CERCLA, and Subtitle D regulations. All of the functions in EnvironmentalStats for S- PLUS , however, are useful to anyone who needs to analyze environmental data.
Not just for environmental data. By extending the statistical capabilities of S- PLUS , EnvironmentalStats for S- PLUS is also useful to practitioners outside the field. Anyone who uses S- PLUS will find all sorts of useful functions in EnvironmentalStats for S- PLUS , including functions to plot probability and cumulative distribution functions, a standardized set of functions for estimating distribution parameters and quantiles and computing confidence intervals, new functions and methods for Goodness-of-Fit tests (including Shapiro-Wilk), functions to compute prediction and tolerance intervals, functions to estimate and test for trend, functions to easily create power and sample size plots, functions to handle Type I censored data, and functions to perform probabilistic risk assessment. Furthermore, the glossary of statistical terms is a valuable tool to anyone who wishes to use S- PLUS to learn or teach Statistics.
Key Benefits
- Comprehensive statistical methods and accompanying literature found in a single environment improving productivity
- Invaluable tools for study design from an easy-to-use GUI make it easy to become productive quickly
- Documentation, extensive help files and industry-specific examples
- Advanced visualization tools for analyzing and interpreting results
- Ability to program functions to meet unique organizational needs
Accelerate the process of bringing accurate financial time series data from FAME into the powerful S-PLUSenvironment for advanced quantitative analysis.
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