DADiSP 6.7 (pronounced day-disp) 數據處理分析軟體
- DADiSP 6.7 (pronounced day-disp) 數據處理分析軟體
DADiSP (pronounced day-disp)
DADiSP (pronounced day-disp) is an interactive graphics worksheet -- a visually oriented software package for the display, management, analysis and presentation of scientific and technical data. If you collect, manipulate, edit, reduce, transform, display or analyze data, DADiSP can handle and simplify your data needs. In short, if you work with technical data, DADiSP is for you.
With DADiSP you can acquire, input and even generate sample data, displaying the results in multiple windows for immediate graphic comparison. You can reduce and transform data, using any of hundreds of menu-driven analysis functions, instantly graphing the results of each stage of your work. DADiSP doesn't require mastering any programming skills or arcane command sets. DADiSP was designed to let you perform data analysis the way you think about data analysis.
DADiSP's Unique Worksheet Approach Puts an End to Programming
A DADiSP worksheet is comprised of as many analysis windows as you need. Each window can contain either raw data, or data transformed by one of DADiSP's many analysis functions, shown as a graph or a table. The data and graphs in each DADiSP window can be related through formulas to those in other windows, permitting you to define your own analysis chain without programming. When new data is loaded into the raw data windows, dependent windows automatically recalculate and update.
DADiSP Brings Your Data to Life... Graphically
DADiSP enables you to look at your data from different points of view. View data as a line graph, a scatter plot, a stick chart, a bar chart, a waterfall plot, a 3-D plot, 4-D colonization or as a basic table of numbers. With DADiSP, you can dynamically scroll, expand or compress your data in any direction. Zoom in on a region of interest, add grids, include scales and engineering units. View your data in whatever colors you wish, overlay one graph with another, and another, and another -- as many overlays as you wish, in as many graph styles as you wish -- the possibilities are endless. Comparing different views of your data couldn't be easier.
Powerful Enough to Meet All Your Needs
From data input and acquisition, to analysis and display, to reduction and manipulation, to transformation and what-if simulations, to publication-quality output for journals, reports and presentations. DADiSP does it all!
With over 1000 powerful functions including mathematics, statistics, Fourier analysis, matrix manipulation, 2-D, 3-D, 4-D and technical graphics, DADiSP has everything you need to do your job simpler, faster and better from start to finish. To further extend the capability of DADiSP into application specific areas, check out our series of powerful plug-in modules.
With tens of thousands of commercial and academic users worldwide, you're in good company with DADiSP.
Quality Graphics for Presentation Reports
DADiSP gives you publication quality graphics and text output on a wide variety of printers and plotters. Text and graphic annotation can be added to any plot to professionalize its presentation and to improve its interpretation. Plot directly to your printer or transfer a DADiSP window or complete worksheet into your favorite desktop publishing package with DADiSP's state-of-the-art image rendering capabilities.
Capture Data From Any Source
DADiSP automatically captures data generated by most laboratory instruments and test and measurement equipment, making your data available for immediate graphic display and analysis.
Let DADiSP help you take control of automated test and measurement equipment, or even production equipment. DADiSP is ideal for quality management and factory monitoring applications.
SPL (Series Programming Language)
A C/C++ like programming language, SPL, is designed to address the special needs, routines, and customization of the engineer, programmer, or OEM. SPL provides all the standard programming facilities including user-defined functions, looping and iteration, conditional statements, array references and variables. SPL also supports the unique and powerful feature called "Hot Variables". Change the value of a Hot Variable, and all variables that depend on it automatically update.
The Windows version supports ActiveX as a client or server, allowing bidirectional exchange of ASCII or binary data. DADiSP Worksheets can be embedded into any ActiveX aware application such as Excel or Word. DADiSP Worksheets can be emailed to colleagues and displayed on Web sites using standard Web browsers.
Completely Customizable and Extendible
DADiSP allows you to create your own analysis functions with SPL and DADiSP Macros, build your own analysis programs with DADiSP Worksheets, run your favorite external programs from the DADiSP environment, and set up your own standard procedures through DADiSP scripts. Create your own pop-up menus with the DADiSP Pop-up Menu Toolkit. With DADiSP you can set up your application once so that others can handle routine tasks for you. Engineers and OEM's can integrate DADiSP with their own or other hardware and software using ActiveX and SPL.
You Choose the Computer
The latest release of DADiSP supports Windows 9x/2K/NT/XP/Vista operating systems. Classic versions of DADiSP are available under X-Windows Motif on workstations from Sun, Hewlett Packard, IBM, Digital Equipment, NeXT, SGI Concurrent and others.
XLMiner™ is a comprehensive data mining add-in for Excel. Data mining is a discovery-driven data analysis technology used for identifying patterns and relationships in data sets. With overwhelming amounts of data now available from transaction systems and external data sources, organizations are presented with increasing opportunities to understand their data and gain insights into it. Data mining is still an emerging field, and is a convergence of fields like statistics, machine learning, and artificial intelligence.
SuperMix是由DonaldHedeker教授和RobertGibbons教授以及SSI共同開發的處理混合模型又稱階層模型的軟體。 該軟體可以對二層和三層數據進行線性處理。 SuperMix適用於對連續(continuous)因變量、二元(binary)因變量、計數(count)因變量、順序(ordinary)因變量和名義因變量進行模型分析。