Maple für Professional
Maple für Akademiker
Maple für Studenten
Maple Personal Edition
Maple Player
Maple Player für iPad
MapleSim für Professional
MapleSim für Akademiker
Maple T.A. - Testen & beurteilen
Maple T.A. MAA Placement Test Suite
Möbius - Online-Courseware
Machine Design / Industrial Automation
Luft- und Raumfahrt
Fahrzeugtechnik
Robotics
Energiebranche
System Simulation and Analysis
Model development for HIL
Anlagenmodelle für den Regelungsentwurf
Robotics/Motion Control/Mechatronics
Other Application Areas
Mathematikausbildung
Technik
Allgemein- und berufsbildende Schulen
Testen und beurteilen
Studierende
Finanzmodelle
Betriebsforschung
Hochleistungsrechnen
Physik
Live-Webinare
Aufgezeichnete Webinare
Geplante Veranstaltungen
MaplePrimes
Maplesoft-Blog
Maplesoft-Mitgliedschaft
Maple Ambassador Program
MapleCloud
Technische Whitepapers
E-Mail Newsletters
Maple-Bücher
Math Matters
Anwendungs-Center
MapleSim Modell-Galerie
Anwenderberichte
Exploring Engineering Fundamentals
Lehrkonzepte mit Maple
Maplesoft Welcome-Center
Resource-Center für Lehrer
Help-Center für Studierende
ScientificErrorAnalysis[SetCorrelation] - set the value of the correlation between two quantities-with-error
Calling Sequence
SetCorrelation( obj1, obj2, cc )
Parameters
obj1
-
quantity-with-error
obj2
cc
correlation coefficient
Description
The SetCorrelation( obj1, obj2, cc ) command sets a correlation coefficient cc between the quantities-with-error obj1 and obj2 for the current session.
To set a correlation for all future Maple sessions, add the SetCorrelation command to your Maple initialization file. For more information, see Create Maple Initialization File.
The correlation cc must be in the range .
The quantities-with-error obj1 and obj2 must be distinct.
Neither of the quantities-with-error obj1 and obj2 can have functional dependence on other quantities-with-error.
Examples
See Also
combine/errors, Create Maple Initialization File, ScientificErrorAnalysis, ScientificErrorAnalysis and ScientificConstants, ScientificErrorAnalysis[Covariance], ScientificErrorAnalysis[GetCorrelation], ScientificErrorAnalysis[Quantity], ScientificErrorAnalysis[Variance]
Download Help Document