aphmat: Transition matrices of the flight behaviour of 10 individuals...

In sequence: Analysis of Sequences of Events

Description

10 succession matrices extracted from the object aphelinus. Matrices are provided as data.frames

Usage

data(aphmat)

Format

The format is: List of 10 data.frames
aphmat[[1]] :'data.frame': 5 obs. of 5 variables:
B : num [1:5] 0 0 0 0 0
E0: num [1:5] 0 0 0 0 0
TD: num [1:5] 1 0 0 0 0
TH: num [1:5] 0 0 1 0 0
V: num [1:5] 0 0 0 0 0
and so on until aphmat[[10]]

Source

Personal communication by courtesy of Anne Le Ralec

References

Pierre, J. S. and C. Kasper (1990). The Design of Ethological Flow-Charts on Factorial Analysis Representations - an Application to the Study of the Male Mole-Cricket Sexual Courtship. Biology of Behaviour 15(3-4): 125-151.(in French)

Examples

data(aphmat)
compmat(aphmat)

Example output

 Between sequences distance matrix



          [,1]     [,2]      [,3]     [,4]     [,5]     [,6]      [,7]     [,8]
 [1,] 0.000000 0.000000  2.092993 0.000000 5.545177 5.545177  5.545177 1.726092
 [2,] 0.000000 0.000000  2.772589 0.000000 0.000000 0.000000  3.255734 2.772589
 [3,] 2.092993 2.772589  0.000000 2.092993 4.865581 4.865581 12.758439 5.004024
 [4,] 0.000000 0.000000  2.092993 0.000000 5.545177 5.545177  5.545177 1.726092
 [5,] 5.545177 0.000000  4.865581 5.545177 0.000000 0.000000  5.545177 4.498681
 [6,] 5.545177 0.000000  4.865581 5.545177 0.000000 0.000000  5.545177 4.498681
 [7,] 5.545177 3.255734 12.758439 5.545177 5.545177 5.545177  0.000000 4.981826
 [8,] 1.726092 2.772589  5.004024 1.726092 4.498681 4.498681  4.981826 0.000000
 [9,] 0.000000 0.000000  1.046496 0.000000 2.772589 2.772589  1.046496 0.000000
[10,] 3.819085 0.000000  5.545177 3.819085 1.046496 1.046496  5.004024 3.819085
          [,9]    [,10]
 [1,] 0.000000 3.819085
 [2,] 0.000000 0.000000
 [3,] 1.046496 5.545177
 [4,] 0.000000 3.819085
 [5,] 2.772589 1.046496
 [6,] 2.772589 1.046496
 [7,] 1.046496 5.004024
 [8,] 0.000000 3.819085
 [9,] 0.000000 3.819085
[10,] 3.819085 0.000000

 ChiSquare test ; exact probabilities



      [,1] [,2]         [,3]         [,4]         [,5]         [,6]
 [1,]    0    0 1.683279e-07 0.000000e+00 0.0006129472 0.0006129472
 [2,]    0    0 2.063073e-06 0.000000e+00 0.0000000000 0.0000000000
 [3,]    0    0 0.000000e+00 1.683279e-07 0.0002241974 0.0002241974
 [4,]    0    0 0.000000e+00 0.000000e+00 0.0006129472 0.0006129472
 [5,]    0    0 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000
 [6,]    0    0 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000
 [7,]    0    0 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000
 [8,]    0    0 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000
 [9,]    0    0 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000
[10,]    0    0 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000
              [,7]         [,8]         [,9]        [,10]
 [1,] 6.129472e-04 2.890621e-08 0.000000e+00 3.173520e-05
 [2,] 8.278924e-06 2.063073e-06 0.000000e+00 0.000000e+00
 [3,] 1.124939e-01 2.790929e-04 2.637226e-10 6.129472e-04
 [4,] 6.129472e-04 2.890621e-08 0.000000e+00 3.173520e-05
 [5,] 6.129472e-04 1.205218e-04 2.063073e-06 2.637226e-10
 [6,] 6.129472e-04 1.205218e-04 2.063073e-06 2.637226e-10
 [7,] 0.000000e+00 2.696031e-04 2.637226e-10 2.790929e-04
 [8,] 0.000000e+00 0.000000e+00 0.000000e+00 3.173520e-05
 [9,] 0.000000e+00 0.000000e+00 0.000000e+00 3.173520e-05
[10,] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00

 ChiSquare test ; significance levels 
 Degrees of freedom:20
	Nominal risk alpha = 0.05
	Bonferroni risk0.00111111111111111


      [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
 [1,] 0    *    *    *    *    *    *    *    *    *    
 [2,] 0    0    *    *    *    *    *    *    *    *    
 [3,] 0    0    0    *    *    *    NS   *    *    *    
 [4,] 0    0    0    0    *    *    *    *    *    *    
 [5,] 0    0    0    0    0    *    *    *    *    *    
 [6,] 0    0    0    0    0    0    *    *    *    *    
 [7,] 0    0    0    0    0    0    0    *    *    *    
 [8,] 0    0    0    0    0    0    0    0    *    *    
 [9,] 0    0    0    0    0    0    0    0    0    *    
[10,] 0    0    0    0    0    0    0    0    0    0    
 Principal coordinates analysis

 ------------------------------


 Valeurs propres 
 [1]  8.325371e+01  3.573563e+01  6.670220e+00  3.913033e+00  8.649813e-14
 [6]  1.412188e-14 -9.617625e-16 -3.234347e+00 -1.024770e+01 -4.398725e+01

 Facteurs 

[1] 0.6927464 1.0000000


dev.new(): using pdf(file="Rplots1.pdf")
Warning message:
In cmdscale(as.dist(mdist), k = d - 1, eig = TRUE) :
  only 6 of the first 9 eigenvalues are > 0

sequence documentation built on March 26, 2020, 7:30 p.m.