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Description language 1Description language 2Description language 3Description language 4
PlatformLicenseASP member
ClassSpecificCategory
NamePublisher/developer
KeywordsDescription
      
LeoDataAnalysis 1.1
Company: LeoKrut
Country: United States of America, MA, Arlington
ASP member: No
Company Web site: https://leokrut.com
Site of program: https://leokrut.com
Application info: https://leokrut.com/leodataanalysis

Author: Leonid Sakharov

Sales email: lsakharov@leokrut.com
Support email: lsakharov@leokrut.com

License type: Commercial
Class: Education::Mathematics
Specific:
Categories: Business & Finance :: Calculators & Converters, Business & Finance :: Spreadsheets, Business & Finance :: Presentation Tools
Platform: Windows
OS: Win2000, WinXP, Win7 x32, Win7 x64, Windows 8, Windows 10, WinServer, WinOther, WinVista, WinVista x64
System requirements: Windows OS, internet connection during installation
Language: English
Limitations: License has to be bought to be fully active.

  
Keywords: data analysis, curve fit, multiavariate analysis

Comprehensive tool for statistical analysis and modeling of experimental and market data.
Universal input from outside data sources: from text files; file type and edit in spreadsheet like control; copy/paste from spreadsheets applications like MS Excel or Access; extract curve in numerical form from image chart; image file.
Data manipulation procedures permit to new create and modify existing variables using simple formulas or schemes. Syntax of formulas incorporates itself ability to use indexing variables that permit to create differential variables.
Statistical schemes of the program incorporate: distribution of one variable with comparison T, Erlang and Poisson probability; conditional distribution depend on values of other parameters; two arguments distribution with 3D presentation or color map presentation; curve fitting with variety schemes to define modeling formula; peaks revealing with base line elimination and special emphasizing on mass chromatogram; 3D presentation of function of two arguments and with plane, parabolic and user formula multivariate approximation; near neighbors method for multivariate estimation; creating score variable that reflect probability for given variable be large then chosen number and algorithm for calculation of the score from other significant parameters.
Found approximated coefficients are accompanied with their calculated standard deviations. The accuracy of presentation of their numerical values can be set by user or automatically defined on the base of stability of their computation. Automatically run a comprehensive statistical analysis by one mouse click.
Convenient user interface permits to design professional looking visualization of the data and modeling formulas. Color, size and shape of point marks and formula lines as well elements of graphic including font of the description could be easy modified.
A report of present statistical analysis can be saved in form of MS Word document or HTML page.
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 0    
1.44 MB

~9.95$
~9.34€
DateVersionStatusRelease history
10 Nov 20171.1New Releasefixed minor bags.
Distribution permissions: Full permission to distribute in any way pleased.

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