Difference between revisions of "Holcombe:Statistics"

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(Fitting curves to data)
(Fitting curves to data)
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==Fitting curves to data==
 
==Fitting curves to data==
*Python is often used in the lab
+
*R is often used in the lab
 +
*Python alone can be used easily, [http://www.scipy.org/Cookbook/FittingData example here]
 
*MATLAB is sometimes used
 
*MATLAB is sometimes used
 
*Using [[MacCurveFit]] for OS9; rarely used
 
*Using [[MacCurveFit]] for OS9; rarely used

Revision as of 02:51, 29 August 2008

Members

Alex Holcombe
Polly Barr
• Charlie Ludowici
• Kim Ransley
• Ingrid Van Tongeren
William Ngiam
Fahed Jbarah
• Patrick Goodbourn
Alumni



Technical

Skills Checklist
Python Programming
Psychopy/VisionEgg Installation Notes
R analysis,plot,stats
Statistics
Buttonbox
Buttonbox with photocell
Programming Cheat Sheets


The picturing of data allows us to be sensitive not only to the multiple hypotheses that we hold, but to the many more we have not yet thought of, regard as unlikely, or think impossible -- Tukey, 1974 Jody Culham error bars lecture

"If events are dependent (whether causal or not), the aggregate is not going to be Gaussian. "- why?

Fitting curves to data

  • R is often used in the lab
  • Python alone can be used easily, example here
  • MATLAB is sometimes used
  • Using MacCurveFit for OS9; rarely used