3D trajectory (interactive)

  • Color scale = flying speed (more red means bat was flying faster)

  • Position can be rotated (click, hold and move around!)

Butterworth filter on speed

butterworth filter

Speed

  • blue area: descent phase

  • Color indicates height (Z axis):

  • Last 0.25 s:

Trajectories

  • Distance in x axis vs Z (vertical plan)

  • last 1/2 second

  • Distance in x axis vs Z (vertical plan)

  • last second

  • X (plane perperdicular to entry) vs Z (vertical plan)

  • last 1/2 second

  • X (plane perperdicular to entry) vs Z (vertical plan)

  • last second

Linear discriminant function analysis and randomization test

## [1] "variables"
##  [1] "leave.type"         "dist.last.infl"     "height.last.infl"  
##  [4] "bw.accel.last.infl" "yz.angle.last.infl" "dist.str.dscnt"    
##  [7] "height.strt.dscnt"  "bw.accel.dscnt"     "num.infl.dscnt"    
## [10] "xy.angle.dscnt"
## [1] "DFA error"
## [1] 0.2105263

## [1] "p-value"
## [1] 0.0018
## [1] "Mean value per leave type"
##   dist.last.infl height.last.infl bw.accel.last.infl yz.angle.last.infl
## 1    -0.12082781      -0.09023787         0.16701173          0.3942678
## 2     0.07048289       0.05263876        -0.09742351         -0.2299896
##   dist.str.dscnt height.strt.dscnt bw.accel.dscnt num.infl.dscnt xy.angle.dscnt
## 1     -0.4717349        -0.3089408     -0.3362426      0.7006419    0.008360930
## 2      0.2751787         0.1802155      0.1961415     -0.4087078   -0.004877209

Mean +/- SD

Compare variance

## [1] "Distance to leave at last inflection"
## 
##  F test to compare two variances
## 
## data:  dist.last.infl by leave.type
## F = 6.6059, num df = 13, denom df = 23, p-value = 9.499e-05
## alternative hypothesis: true ratio of variances is not equal to 1
## 95 percent confidence interval:
##   2.610194 19.191129
## sample estimates:
## ratio of variances 
##           6.605889
## [1] "Height at last inflection"
## 
##  F test to compare two variances
## 
## data:  height.last.infl by leave.type
## F = 1.8317, num df = 13, denom df = 23, p-value = 0.198
## alternative hypothesis: true ratio of variances is not equal to 1
## 95 percent confidence interval:
##  0.7237715 5.3214412
## sample estimates:
## ratio of variances 
##           1.831724
## [1] "Acceleration at last inflection"
## 
##  F test to compare two variances
## 
## data:  bw.accel.last.infl by leave.type
## F = 0.75378, num df = 13, denom df = 23, p-value = 0.6073
## alternative hypothesis: true ratio of variances is not equal to 1
## 95 percent confidence interval:
##  0.297842 2.189847
## sample estimates:
## ratio of variances 
##          0.7537797
## [1] "Y-Z angle at  last inflection"
## 
##  F test to compare two variances
## 
## data:  yz.angle.last.infl by leave.type
## F = 0.77853, num df = 13, denom df = 23, p-value = 0.6521
## alternative hypothesis: true ratio of variances is not equal to 1
## 95 percent confidence interval:
##  0.3076212 2.2617474
## sample estimates:
## ratio of variances 
##          0.7785291
## [1] "Distance to leave at start of descent"
## 
##  F test to compare two variances
## 
## data:  dist.str.dscnt by leave.type
## F = 10.69, num df = 13, denom df = 23, p-value = 1.494e-06
## alternative hypothesis: true ratio of variances is not equal to 1
## 95 percent confidence interval:
##   4.223976 31.056264
## sample estimates:
## ratio of variances 
##           10.69005
## [1] "Height at start of descent"
## 
##  F test to compare two variances
## 
## data:  height.strt.dscnt by leave.type
## F = 24.526, num df = 13, denom df = 23, p-value = 4.218e-10
## alternative hypothesis: true ratio of variances is not equal to 1
## 95 percent confidence interval:
##   9.690949 71.251515
## sample estimates:
## ratio of variances 
##           24.52589
## [1] "Acceleration to leave at start of descent"
## 
##  F test to compare two variances
## 
## data:  bw.accel.dscnt by leave.type
## F = 1.3805, num df = 13, denom df = 23, p-value = 0.4827
## alternative hypothesis: true ratio of variances is not equal to 1
## 95 percent confidence interval:
##  0.5454731 4.0105240
## sample estimates:
## ratio of variances 
##           1.380486
## [1] "X-Y angle at start of descent"
## 
##  F test to compare two variances
## 
## data:  xy.angle.dscnt by leave.type
## F = 1.1408, num df = 13, denom df = 23, p-value = 0.7551
## alternative hypothesis: true ratio of variances is not equal to 1
## 95 percent confidence interval:
##  0.4507645 3.3141907
## sample estimates:
## ratio of variances 
##           1.140797

Linear discriminant function analysis on PCs

## [1] "variables"
##  [1] "leave.type"         "dist.last.infl"     "height.last.infl"  
##  [4] "bw.accel.last.infl" "yz.angle.last.infl" "dist.str.dscnt"    
##  [7] "height.strt.dscnt"  "bw.accel.dscnt"     "num.infl.dscnt"    
## [10] "xy.angle.dscnt"
## [1] "DFA error"
## [1] 0.1842105

## [1] "p-value"
## [1] 2e-04
## [1] "Mean value per leave type"
##       Comp.1      Comp.2     Comp.3     Comp.4     Comp.5
## 1 -0.7870563 -0.14656949  0.3924591  0.7153635 -0.4537391
## 2  0.4591162  0.08549887 -0.2289345 -0.4172954  0.2646811

Mean +/- SD