File EXAMPLE_B.dat
This is a PERMAP teaching data file using attributes.  This data is typical of Likert data.

Message = South Louisiana Hunting Frogs
Submessage = (based on averages of 77 observers rating 13 attributes for 8 breeds)
Nobjects=8
Nattributes=13

AttributeList 
6.04 7.01 6.44 9.91 NA   9.49 9.99 7.77 8.93 7.73 8.99 7.84 9.95
7.90 6.54 6.51 9.36 6.09 9.25 8.72 8.59 8.44 6.80 8.56 8.57 6.97
8.84 6.40 6.85 9.98 5.93 9.92 9.34 9.66 9.43 6.06 9.28 9.41 6.96
7.03 6.40 6.31 8.33 6.51 NA   7.80 7.53 7.47 7.53 8.14 7.42 8.62
8.21 6.53 6.87 7.91 5.55 7.86 7.85 8.10 8.06 6.25 7.43 NA   5.55
8.45 6.78 6.98 8.70 5.93 8.92 8.53 8.85 8.50 6.22 8.35 8.59 6.10
8.34 6.37 6.43 8.32 5.55 8.18 7.88 8.29 8.12 6.22 7.71 8.24 6.33
8.05 6.45 NA   7.37 5.71 7.81 7.64 7.61 7.29 6.33 7.43 7.83 6.24


After making your analysis, which attribute is least
helpful in explaining the data?  Should any others be eliminated? 
Which attributes could be combined to form new constructs?    
What is strange about this data?  Hint: Look at the means.
Would looking at the standard deviations help?










































