10

Community Analysis Package

the adjusted data. The analyses will use the adjusted data set by default.

Obtaining help

111

Opening a data set

15

Demonstration data sets

16

Creating and editing a data set

18

Maximum size of the data set and computation speed

21

Printing and exporting your results

23

Zooming and panning on graphs

28

2.7

Common errors and problems

No matter how much care is taken with data preparation, it is not unusual to

encounter problems when initially loading and running analyses on a data set.

These are usually simple to rectify. Common error messages and their solutions

are shown below

1.    is not a valid floating point value

. 

This will

occur if the raw data set holds

blank columns or rows   ones that sum to zero. Remove blank columns and rows

by using  

Handling zeros

39

  in the working data window. It may also occur if the

raw data holds a blank cell. In some cases 

CAP

 will identify the problem cell

which should be edited. Normally it is because the data has been prepared in a

spreadsheet using blanks to represent zero values.

Occasionally, this error can occur because a blank space has been accidentally

entered into a cell outside the data matrix when it was being prepared in a

spreadsheet program. To prevent this happening, it is good practice, before

saving your data set as a .csv file, to highlight the first 10 or so blank rows and

columns below and to the right of the data matrix, and press  Delete . This will

clear the cells of any accidentally entered contents.

2. I/O error 32   access denied.

 This will occur if the data file you are trying to

open is currently being used by another program   normally the spreadsheet

which was used to organise the data.

Close the file in other programs and try again.

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