FindGraph tool expose methods or properties to control fitting feature of program

FindGraph: Fiting automation sets weighting schema or fills output with number of parameters

Introduction

->>	FindGraph
->>	Features
->>	System Requirements

Quick Start Tutorial

->>	Data
->>	Import/Export
->>	Digitize Data
->>	Transfrom Data
->>	Procrustes Analysis
->>	Filter Data
->>	Convolution
->>	Interpolation
->>	Linear Regression
->>	Curve Fitting
->>	Famous Curves
->>	Formula
->>	Background
->>	Editor
->>	Occupation
->>	Distribution
->>	Diagram
->>	Analysis
->>	Distances
->>	Statistics
->>	Options
->>	Аctive Document
->>	Fiting Automation

Menus

->>	File
->>	Edit
->>	View
->>	Data
->>	Plot
->>	Fit
->>	Analysis
->>	Graphing
->>	List
->>	Help
->>	Status Bar

Advanced Options

->>	Import Points
->>	Digitize
->>	Export Ponts
->>	Save as Picture
->>	Approximation
->>	Fit Peaks
->>	Parametric Graph
->>	Transform Points
->>	Editor
->>	Commentary
->>	Statistics
->>	Zoom
->>	Automation

Buy FindGraph Online!

Fiting Automation

The unique features of FindGraph are exposed through Automation (formerly called OLE Automation). Through the methods and properties that are exposed, client applications written in Microsoft Visual Basic® or Microsoft Visual C++® can be used to control fitting features of FindGraph.

memory stick compact flash recovery	blank purchase orders	file recovery utility
Deleted SMS Recovery	restore windows	usb restore
remote keyloggers	freeware data recovery software	file recovery utilities download

Properties:

VARIANT ArrayVar
Array of dimension 3N with points (X, Y, Z) as VARIANT SAFEARRAY.

Input - Fill this array with data points (X, Y).
Output- FindGraph fills column Z with calculated values.
long ApprParamsNumber
Number of parameters M

Output - FindGraph fills this with the number of parameters.
VARIANT ArrayParams
Array of dimension M

Input - Fill this array with parameters.
String FuncApprString
String

Input - Use this string to send user DLL name.
Output- FindGraph fills this string with information about fitting model.
long Weighting
Number

Input - Use this value to set weighting schema.

0 No weight, Wi = 1
1 Statistical, Wi = 1/Yi
2 Statistical, Wi = Yi
3 Statistical, Wi = 1/Xi
4 Statistical, Wi = Xi
5 Instrumental, Wi = 1/Zi^2
6 Direct, Wi = Zi

Buy FindGraph Online!

Home | Contacts | Partners | Publish your software | Remove your manuals