LeoDataAnalysis

Short Description:
Statistical analysis, fitting and visualization of multi-parameter data sets. Statistical schemes cover creating conditional histograms, curve fitting with least square method and user defined formula, multivariate state of art fitting.

Long Description 1:
Statistical analysis, fitting and visualization of multi-parameter data sets. Statistical schemes cover creating conditional histograms, curve and surface fitting with least square method and user defined formula, multivariate fitting, near neighbors estimation; peaks revealing; scoring market data.. Support import data from text files; paste from clipboard; extraction from pictures. Create instant report ready MS Word or HTML file

Long Description 2:
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.