40
Community Analysis Package
Select the adjustment to be made and click on 
Submit
 to make the change.
The possible options are as follows.
Deselect Rows: 
Removes row not wanted in this analysis. This does not delete
the data, it only removes it from the working dataset
Deselect Columns:
Removes column not wanted in this analysis. This does not
delete the data, it only removes it from the working dataset
Delete zero columns
   Every column in the data set that only contains zeros is
removed.
Delete zero rows
   Every row in the data set that only contains zeros is removed.
Remove sparse columns
   Every column in the data set which contains < x non
zero elements is removed. The value of x is entered by the user in the At least x
non zero value text box.
Remove sparse rows
   Every row in the data set which contains < x non zero
elements is removed. The value of x is entered by the user in the At least x non
zero value text box.
Beals 
Beals smoothing is used on sparse data sets where many of the samples
hold a small proportion of the total species list. As the transformation only uses
the presence/absence of species, it should not be applied to good quality
quantitative data as you will be discarding much of your information. It should only
be performed on data arranged with the samples as columns. Described and
discussed by Beals (1984) and McCune (1994) respectively, each element, eij, in
the data array is replaced by:
where i is the column (sample) number, j is the row (species) number, 
Ni
 is the
number of species in column (sample) i, 
Bothij
 is the number of samples holding
both species j and k, 
Samplesk
 is the number of samples holding species k and
maxS
 is the total number of columns (samples).
8.2
Working data screen
This screen allows you to make a variety of changes to the raw data prior to
undertaking an analysis. Initially, you will be presented with a grid filled with the
raw data; this can be adjusted using the options in the panel below the data grid.
Copyright 2004, PISCES CONSERVATION LTD





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