II
Community Analysis Package
4
.....................
Multivariate analysis .............................................................................................................. 35
5
......
TWINSPAN  ............................................................................................................................. 36
6
.................................................
Principal Component Analysis (PCA) .................................................................................. 36
7
................................................................
Non metric multidimensional scaling (NMDS)  ................................................................... 37
8
...............................
Reciprocal averaging (RA) .................................................................................................... 37
Part VIII Data transformations
39
1
..................
Dealing with zeros  ................................................................................................................. 39
2
......................
Working data screen  ............................................................................................................. 40
3
............
Relativisations  ....................................................................................................................... 41
4
................
Transposing data ................................................................................................................... 42
Part IX Groups
44
1
.......
Edit Groups  ............................................................................................................................ 45
2
.........................................
Analysis of Similarity (ANOSIM)  .......................................................................................... 48
3
..........................................
Similarity Percentages (SIMPER)  ......................................................................................... 49
Part X Principal Components Analysis 
PCA
53
1
.
Variance .................................................................................................................................. 53
2 Scores  ................................................................................................................................... 53
3
.........
Eigenvectors  .......................................................................................................................... 54
4
...........................................................................
Viewing the correlation between variables (species)  ........................................................ 54
5
.............
Cross products  ...................................................................................................................... 54
6
.....................
Species correlations .............................................................................................................. 54
7
..
PCA plot  ................................................................................................................................. 55
Part XI Non Metric Multidimensional
scaling
58
1
....................................
Starting Configuration   MDS  ............................................................................................... 59
2
....................
Sample coordinates ............................................................................................................... 60
3 Stress  ................................................................................................................................... 60
4
....
MDS plots  ............................................................................................................................... 61
Part XII Detrended Correspondence
Analysis   DECORANA
64
1
...................................
Computations   DECORANA  ................................................................................................ 64
2
.....................................
Species Scores   DECORANA  .............................................................................................. 65
3
....................................
Sample Scores   DECORANA  ............................................................................................... 65
4
...............
DECORANA plot  .................................................................................................................... 65
Part XIII Reciprocal Averaging   RA
67
1
...................................................
Computations   Reciprocal Averaging  ................................................................................ 67
2
.....................................................
Species Scores   Reciprocal Averaging  .............................................................................. 67
3
....................................................
Sample Scores   Reciprocal Averaging ............................................................................... 68
4 RA plot  ................................................................................................................................... 68
Copyright 2004, PISCES CONSERVATION LTD





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