The STDIZE Procedure |

Computation of the Statistics |

Formulas for statistics of METHOD=MEAN, METHOD=MEDIAN, METHOD=SUM, METHOD=USTD, METHOD=STD, METHOD=RANGE, and METHOD=IQR are given in the chapter "Elementary Statistics Procedures" (*Base SAS Procedures Guide*).

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

The other statistics listed in Table 82.2, except for METHOD=IN, are described as follows:

- EUCLEN
Euclidean length.

, where is the th observation and is the total number of observations in the sample.- L()
Minkowski metric. This metric is documented as the LEAST= option in the PROC FASTCLUS statement of the FASTCLUS procedure (see Chapter 34, The FASTCLUS Procedure ).

If you specify METHOD=L() 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 criterion for convergence on all variables; in PROC FASTCLUS, it is a criterion for convergence on a single variable.The location and scale measures for L() are output to the OUTSEED= data set in PROC FASTCLUS.

- MIDRANGE
- ABW()
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()
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()
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()
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 section Background in Chapter 22, The ACECLUS Procedure ). Specifying METHOD=AGK() in the PROC STDIZE statement is the same as specifying METHOD=COUNT and P= in the PROC ACECLUS statement.

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

Copyright © SAS Institute, Inc. All Rights Reserved.