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The STDIZE Procedure |

Note that the computations of median and upper and lower quartiles depend on the PCTLMTD= option.

The other statistics listed in Table 59.2, except for METHOD=IN, are described as follows:

- EUCLEN
- Euclidean length.

where*x*_{i}is the*i*th observation and*n*is the total number of observations in the sample. - L(
*p*) - Minkowski metric.
This metric is documented as the LEAST=
*p*option in the PROC FASTCLUS statement of the FASTCLUS procedure (see Chapter 27, "The FASTCLUS Procedure").

If you specify METHOD=L(*p*) in the PROC STDIZE statement, your results are similar to those obtained from PROC FASTCLUS if you specify the LEAST=*p*option with MAXCLUS=1 (and use the default values of the MAXITER= option). The difference between the two types of calculations concerns the maximum number of iterations. In PROC STDIZE, it is a criteria for convergence on all variables; In PROC FASTCLUS, it is a criteria for convergence on a single variable.

The location and scale measures for L(*p*) are output to the OUTSEED= data set in PROC FASTCLUS.

- MIDRANGE
- ( maximum + minimum) / 2

- ABW(
*c*) - Tukey's biweight. Refer to Goodall (1983, pp. 376 -378, p. 385) for the biweight 1-step M-estimate. Also refer to Iglewicz (1983, pp. 416 -418) for the biweight A-estimate.
- AHUBER(
*c*) - Hubers. Refer to Goodall (1983, pp. 371 -374)
for the Huber 1-step M-estimate.
Also refer to Iglewicz (1983, pp. 416 -418) for the Huber A-estimate of scale.

- AWAVE(
*c*) - Andrews' Wave. Refer to
Goodall (1983, p. 376) for the Wave 1-step M-estimate.
Also refer to Iglewicz (1983, pp. 416 -418) for the Wave
A-estimate of scale.

- AGK(
*p*) - the noniterative univariate form of the
estimator described by Art, Gnanadesikan,
and Kettenring (1982)

The AGK estimate is documented in the section on the METHOD= option in the PROC ACECLUS statement of the ACECLUS procedure (also see the "Background" section in Chapter 16, "The ACECLUS Procedure"). Specifying METHOD=AGK(*p*) in the PROC STDIZE statement is the same as specifying METHOD=COUNT and P=*p*in the PROC ACECLUS statement.

- SPACING(
*p*) - the absolute difference between two data
values. The minimum spacing for a proportion
*p*is the minimum absolute difference between two data values that contain a proportion*p*of the data between them. The mid minimum-spacing is the mean of these two data values.

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