This is the data Don sent me. It looks a bit noisier to me than what we had months ago (visual inspection, I am not sure) but the signals are picked up. I wonder whether running the test for more than 100 ms will make it even better. I ran a bootstrap-like analysis (more similar to a "jackknife") resampling it 1000 times, taking half of the sample (500) randomly and the most of the branches are consistent. I can give the numbers later.
Two things are needed to be considered: 
1) how the branches groups to each other and how consistent they are (the are if the branches exists and the groups remain together no matter how I resample the data)
2) how long the branches are, i.e. distance.
This is just a test, a more thorough analysis could and should be done.
Since the output of Don's tool changed, I needed to rewrite the scripts.
https://sites.google.com/site/gaviotach ... &width=800
Miguel
			
			
									
						
							Cluster analysis of similarity test
Moderator: Ras
- 
				michiguel  
- Posts: 6401
- Joined: Thu Mar 09, 2006 8:30 pm
- Location: Chicago, Illinois, USA
- 
				Laskos  
- Posts: 10948
- Joined: Wed Jul 26, 2006 10:21 pm
- Full name: Kai Laskos
Re: Cluster analysis of similarity test
Sorry, I didn't follow your earlier results, I have to get used to the chart.michiguel wrote:This is the data Don sent me. It looks a bit noisier to me than what we had months ago (visual inspection, I am not sure) but the signals are picked up. I wonder whether running the test for more than 100 ms will make it even better. I ran a bootstrap-like analysis (more similar to a "jackknife") resampling it 1000 times, taking half of the sample (500) randomly and the most of the branches are consistent. I can give the numbers later.
Two things are needed to be considered:
1) how the branches groups to each other and how consistent they are (the are if the branches exists and the groups remain together no matter how I resample the data)
2) how long the branches are, i.e. distance.
This is just a test, a more thorough analysis could and should be done.
Since the output of Don's tool changed, I needed to rewrite the scripts.
https://sites.google.com/site/gaviotach ... &width=800
Miguel
Do the distances on a branch mean something? Do the angles mean something?
Thanks,
Kai
- 
				michiguel  
- Posts: 6401
- Joined: Thu Mar 09, 2006 8:30 pm
- Location: Chicago, Illinois, USA
Re: Cluster analysis of similarity test
The length of each branch represents the "disimilarity" between points.Laskos wrote:Sorry, I didn't follow your earlier results, I have to get used to the chart.michiguel wrote:This is the data Don sent me. It looks a bit noisier to me than what we had months ago (visual inspection, I am not sure) but the signals are picked up. I wonder whether running the test for more than 100 ms will make it even better. I ran a bootstrap-like analysis (more similar to a "jackknife") resampling it 1000 times, taking half of the sample (500) randomly and the most of the branches are consistent. I can give the numbers later.
Two things are needed to be considered:
1) how the branches groups to each other and how consistent they are (the are if the branches exists and the groups remain together no matter how I resample the data)
2) how long the branches are, i.e. distance.
This is just a test, a more thorough analysis could and should be done.
Since the output of Don's tool changed, I needed to rewrite the scripts.
https://sites.google.com/site/gaviotach ... &width=800
Miguel
Do the distances on a branch mean something? Do the angles mean something?
Thanks,
Kai
The angles mean absolutely nothing. In fact, it is licit to put the plot in a draw program and move the branches around, as long as you do not change the length and the nodes. For instance
Code: Select all
A
 \
  \        C
   \      /
    o----o
   /      \  
  /        \
 /          D
B
A
 \          D
  \        /
   \      /
    o----o
   /      \  
  /        C
 /          
B
A
 \          
  \        
   \      
    o----o--D
   /      \  
  /        C
 /          
B
Code: Select all
C  0  3  8  8
D     0  9  9
A        0  6
B           0The other VERY important point to take into account is: How reliable are each of the branches? For instance, all the trees above are different than this
Code: Select all
            D
  A        /
   \      /
    \    /
     o--o
    /    \  
   /      \
  /        C
 /
BSo... the important point is how reliable is the connection or branch represented by o--o? What is the other possibility? if the branch is not reliable, it means that this tree is not (statistically) significantly different from the following tree
Code: Select all
           D
  A       /
   \     /
    \   /
     \ /
      o
      |
      o
     / \  
    /   \
   /     C
  /
 BTo investigate the reliability of those branches what we can do is to resample the data and recalculate the tree and ask the question: How many times do I see that branch? half of the time? that is not reliable at all and I cannot conclude anything between the relationship between A,B,C,D. But, if I see the same branch no matter how many times I resample the data, the branch becomes very reliable.
These are the numbers I got (same tree I showed before). See the numbers 1000. That means, I got the same branch 1000 out of 1000 times. I included an arrow pointing to a number that means that all komodos belong to the same family, no matter how I resample the data.
Code: Select all
                                         very reliable!!
                                        \_______________/
                                               |
                                               |                 +------21-Kom1.2J
                                               |          +811.0-|
                                               |   +-1000-|      +------09-Kom4046
                                               V   |      |
                                            +-1000-|      +-------------11-Kom4046
                                            |      |
                                            |      +--------------------00-Kom1.0
                                            |
                                     +406.0-|                    +------17-Fire12
                                     |      |             +906.0-|
                                     |      |      +-1000-|      +------18-Robbo84
                                     |      |      |      |
                                     |      +907.0-|      +-------------01-Hou1.5
                                     |             |
                              +907.0-|             +--------------------19-Rybka3
                              |      |
                              |      |                           +------08-Strel18
                              |      |                    +813.0-|
                              |      |             +-1000-|      +------20-Rybka1
                              |      |             |      |
                              |      +-------876.0-|      +-------------14-Strel2
                       +-1000-|                    |
                       |      |                    +--------------------16-Rybka23
                       |      |
                       |      |                                  +------03-Fruit21
                       |      |             +---------------1000-|
                       |      |             |                    +------04-Frui231
                       |      |             |
                +938.0-|      +--------1000-|                    +------07-Shredde
                |      |                    |             +907.0-|
                |      |                    |      +562.0-|      +------10-gaviota
                |      |                    |      |      |
                |      |                    +438.0-|      +-------------12-Spike1.
         +-1000-|      |                           |
         |      |      |                           +--------------------02-Crit042
         |      |      |
  +------|      |      +------------------------------------------------06-SF1.6
  |      |      |
  |      |      +-------------------------------------------------------05-SF171
  |      |
  |      +--------------------------------------------------------------13-SF1.8JA
  |
  +---------------------------------------------------------------------15-SF191JA
Miguel