The Resource Component Analysis facility currently produces a single printed output: The Relative Importance Analysis Report. This report contains a set of simple descriptive statistics for the dependent elements and their associated values, as well the relative importance weight assigned to each independent individual element. A sample of this report is shown next.
Resource Component Analysis Report Report For: 01/27/04 Feature Description Minimum Maximum Average Std. Dev. CV Rel. Imp. ________ ________________________________________ ____________ ____________ ____________ ____________ ______ _________ CPUTOBTM Total Time Processor Busy 0:08:15.73 0:27:00.70 0:19:23.79 0:03:23.89 17.52 CPUAVB Avg Batch Users 3.16 10.23 5.16 1.83 35.50 0.2265 CPUAVE Avg OMVS Users 12.00 12.10 12.03 0.02 0.15 0.2834 CPUAVS Avg Started Users 196.47 221.82 206.65 7.42 3.59 0.2333 CPUAVT Avg TSO Users 2.04 16.72 9.96 4.15 41.71 0.2568 CPUTODTM Total Dispatch Time 0:08:15.73 0:27:00.70 0:19:23.79 0:03:23.89 17.52 0.0000*** Total Relative Importance Weights: 1.0000 *** - This Field(s) is 100% Correlated to the CPUTOBTM Value and was Dropped from Analysis.
The Relative Importance Analysis report contains the
following information:
ELEMENT: The name of the independent and dependent
elements being analyzed.
DESCRIPTION: The SAS label of the selected data element,
from either the CA MICS GENLIB definition or
supplied by the user.
MIN. The minimum value of the selected data element
VALUE: observed in the input data.
MAX. The maximum value of the selected data element
VALUE: observed in the input data.
MEAN The mean of the values of the selected data
VALUE: element observed in the input data.
STD: The standard deviation of the values of the
selected data element observed in the input
data.
CV: The coefficient of variance of the values of
the selected data element observed in the
input data. This is a standard statistic and
is a ratio of the mean and standard deviation
measurements.
REL. The relative importance of this particular
IMP.: independent element as a function of the
dependent element value. Neugents technology
computes this value internally using a mixture
of both linear and nonlinear techniques and
expresses this as a ratio or weight factor,
relative to 100.
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