System and method for automatically creating scalar data sets for complex data via a response data handler

• US 8,560,276 B2
• Filed: 06/25/2012
• Issued: 10/15/2013
• Est. Priority Date: 10/28/2005
• Status: Active Grant

• Current Assignee: S-Matrix
• Original Assignee: S-Matrix
• Inventors: Cooney, George A. Jr., Verseput, Richard P.
• Primary Examiner(s): Barbee, Manuel L
• Application Number:
  US13/532,676
• Publication Number:
  US 20120330612A1
• Time in Patent Office: 477 Days
• Field of Search: 702 22- 26, 702 30- 32, 700/1, 700/19
• US Class Current: 702/189
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202

Abstract

The present invention provides a system and method for automatically generating reduced response data sets from complex scientific data via a response data handler (RDH) methodology, thereby eliminating non-systematic losses and oversights often associated with and resulting from the current practice while improving the overall integrity and confidence of the results typically sought in experimental practice.

Claims

1. A computer implemented method for configuring and executing an automated series of numerical procedures on source data which do not have a correct structure and content required for a planned statistical analysis procedure, the computer implemented method comprising:

generating source data by an application that is executed by a processor of a computer, wherein the source data includes raw experimental data; and

dynamically configuring a response data handler (RDH) in relation to one or more traits of the planned statistical analysis procedure by the application to transform the source data into analysis-ready data sets by mapping reduced source data to an experimental design, wherein the analysis-ready data sets have the correct structure and content for the planned statistical analysis procedure.

2. The method of claim 1 wherein the displaying is in one of a visual format or a graphical format.

3. The method of claim 1, wherein the method is automatic following its instantiation.

4. The method claim 1, further comprising obtaining the raw experimental data from a plurality of trials.

5. The method claim 4, wherein one of plurality of trials is one of an experiment, a test, or a comparative event evaluating one or more response values in relation to one or more study factor settings in a predetermined process.

6. The method of claim 5, wherein the RDH includes an operational mode, a user interface, and a data conversion and reduction option corresponding to the operational mode.

7. The method of claim 6, wherein the operational mode is received by the RDH from a testing design corresponding to the experimental design, and raw experimental data from the plurality of trials are received as automatically imported or user entered responses to the testing design, and the analysis-ready data sets are thereafter created in relation to the dynamically configured RDH.

8. The method of claim 7, wherein the raw experimental data includes one or more multiple intrinsically-related values, and the analysis-ready data sets are reduced numerical analysis-ready response data sets.

9. The method of claim 1, further comprising configuring a testing design generator (TDG) which is dynamic and further includes initiating an activity and one or more tools associated with the activity, wherein the one or more tools include one or more functionally of Build Curve, Current Data, and User Entry.

10. The method of claim 9, wherein the TDG includes dynamically configurable modes and options for generating one or more testing designs coordinated with the plurality of trials for recording raw test results in relation to one or more traits of a measurement system and a testing approach.

11. The method of claim 1, wherein dynamically configuring the RDH includes initiating an activity and one or more tools associated with the activity.

12. The method of claim 11, wherein the activity includes dynamically configurable settings options for generating testing designs coordinated with the plurality of trials.

13. The method of claim 11, wherein the activity includes dynamically configurable settings options for reducing the raw experimental data to the analysis-ready data sets.

14. A non-transitory computer readable medium containing program instructions executable on a computer for reducing source data into analysis-ready data sets, wherein the computer performs the following functions comprising:

generating source data, wherein the source data includes raw experimental data; and

dynamically configuring a response data handler (RDH) in relation to one or more traits of the planned statistical analysis procedure to transform the source data into analysis-ready data sets by mapping reduced source data to an experimental design, wherein the analysis-ready data sets have the correct structure and content for the planned statistical analysis procedure.

15. The medium of claim 14, wherein the medium is automatic following its instantiation.

16. The medium of claim 14, wherein configuring the RDH includes initiating an activity and one or more data conversion tools associated with the activity.

17. The medium of claim 16, wherein the activity includes dynamically configurable settings options for reducing the raw experimental data to the analysis-ready data sets.

18. The medium of claim 16, wherein at least one of the one or more data conversion tools provides functionality for a user to define a target data profile graphically, to select a trial associated with a graphed data set to be a target profile, or to add sufficient data points to construct and display a target profile.

19. The medium of claim 14 wherein the RDH is dynamically configurable in relation to one or more traits of a testing design selectable by or predetermined by a user.

20. The medium of claim 14, further comprising configuring a testing design generator (TDG) in relation to one or more traits of a measurement system and a testing approach, wherein the TDG includes at least one of dynamically configurable modes or settings options which generate one or more testing designs coordinated with a plurality of trials, wherein the modes and settings options are dynamically configured by the TDG in relation to one or more traits of the measurement system and the testing approach.