MATLAB and Simulink resources for Arduino, LEGO, and Raspberry Pi
Learn moreOpportunities for recent engineering grads.
Apply TodayMATLAB Central > MATLAB Newsreader > Confidence interval calculation (for multcompare) 

Subject: Confidence interval calculation (for multcompare) From: Russell Date: 18 Apr, 2013 20:27:18 Message: 1 of 6 
In statistics, usually confidence intervals are calculated by the standard deviation over the sample size. However, in the multiple comparison, regardless of what the standard deviation is for each of the individual groups, the confidence intervals are always the same. I give an example code down below: 
Subject: Confidence interval calculation (for multcompare) From: Tyler Date: 19 Apr, 2013 01:07:10 Message: 2 of 6 
I'd just like to bump this question for visibility  it's an incredibly frustrating problem not to have any documentation on how these error bars are calculated. It means I absolutely could not publish these figures or even show them to my PI, seeing as I can't explain how they're generated. 
Subject: Confidence interval calculation (for multcompare) From: Tyler Date: 19 Apr, 2013 01:09:10 Message: 3 of 6 
Hoping to merge this thread: 
Subject: Confidence interval calculation (for multcompare) From: Tom Lane Date: 19 Apr, 2013 13:59:28 Message: 4 of 6 
> In statistics, usually confidence intervals are calculated by the standard 
Subject: Confidence interval calculation (for multcompare) From: Chen Xing Date: 25 Jun, 2013 17:52:12 Message: 5 of 6 
Looked up Hockberg (1987) as recommended by Tom Lane, and posted scanned images of the relevant pages here (the Adobe Reader plugin needs to be enabled in your browser): 
Subject: Confidence interval calculation (for multcompare) From: Jeff Date: 26 Jun, 2013 00:19:01 Message: 6 of 6 
On Wednesday, June 26, 2013 5:52:12 AM UTC+12, Chen Xing wrote: 
A tag is like a keyword or category label associated with each thread. Tags make it easier for you to find threads of interest.
Anyone can tag a thread. Tags are public and visible to everyone.