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Proc Surveyselect Strata Example


When you specify the MARGIN= option, you must also provide the stratum variances in the VAR=(values), VAR=SAS-data-set, or VAR option. NOPRINT suppresses the display of all output. If you do not want to use the same maximum size for all strata, use the MAXSIZE=SAS-data-set option to specify a maximum size value for each stratum. The COST= data set should contain all the STRATA variables, with the same type and length as in the DATA= input data set.

See the section Allocation Output Data Set for details. This means you cannot use the STRATA option NOTSORTED or DESCENDING when you specify a CONTROL statement or METHOD=PPS. TEST=EQUIV_ADJZ specifies a normal-approximate two-sided equivalence test based on the statistic with continuity adjustment and a TOST (two one-sided tests) procedure. When you specify the SAMPRATE= option, PROC SURVEYSELECT calculates the stratum sample size by multiplying the total number of units in the stratum by the specified sampling rate. Get More Information

Proc Surveyselect Strata Example

To reproduce the entire sample, you can specify this same seed value in the SEED= option, along with the same sample selection parameters. See the sections Proportional Allocation, Optimal Allocation, and Neyman Allocation for details. Instead of requesting that PROC SURVEYSELECT compute the sample allocation, you can provide the allocation proportions by using the ALLOC=(values) option or the ALLOC=SAS-data-set option.

You can use the MARGIN= option with any allocation method (proportional, optimal, or Neyman) or with allocation proportions that you provide (ALLOC=(values) or ALLOC=SAS-data-set). If you do not want to use the same sampling rate for each stratum, use the SAMPRATE=(values) option or the SAMPRATE=SAS-data-set option to specify a sampling rate for each stratum. See the section Secondary Input Data Set for details. When you specify a CONTROL statement, you can also use the OUTSORT= option to name an output data set that contains the sorted input data set.

TEST=ADJZ METHOD=EXACT Power POWER=. Proportional Allocation Example See Cassell (2007) for more information. To include a distinct copy of each selection in the output data set when the same unit is selected more than once, use the OUTHITS option. https://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/statug_surveyselect_a0000000206.htm JTPROBS includes joint probabilities of selection in the OUT= output data set.

proc power; onesamplefreq test=adjz method=normal nullproportion = 0.15 proportion = 0.1 sides = l ntotal = . See the section Specifying Value Lists in Analysis Statements for information about specifying the number-list. You provide size measures by specifying the SIZE statement or the PPS option in the SAMPLINGUNIT statement. PROC SURVEYSELECT provides proportional allocation (ALLOC=PROP), optimal allocation (ALLOC=OPTIMAL), and Neyman allocation (ALLOC=NEYMAN).

Proportional Allocation Example

The "Sample Selection Summary" table displays the initial random number seed for the entire sample selection, which is the same as the initial seed for the first stratum when the design https://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/statug_surveyselect_sect007.htm METHOD=EXACT (the default) computes exact results by using the binomial distribution. Proc Surveyselect Strata Example See the section Sample Selection Methods for more information. See the section PPS Sequential Sampling for details.

If you specify the NOSAMPLE option, the procedure computes the allocation but does not select the sample. If you specify the MARGIN= option, the STATS option displays the expected margin of error for the allocation. MINSIZE requests adjustment of size measures according to the stratum minimum size values provided in the secondary input data set. For more information, see Chapter 20, Using the Output Delivery System.

You can request the MARGIN= option for any allocation method (proportional, optimal, or Neyman) or for allocation proportions that you provide (ALLOC=(values) or ALLOC=SAS-data-set). See the section Specifying Value Lists in Analysis Statements for information about specifying the number-list. The PROC SURVEYSELECT statement also specifies the sample selection method, the sample size, and other sample design parameters. This option is available for the following probability proportional to size selection methods: METHOD=PPS, METHOD=PPS_SAMPFORD, and METHOD=PPS_WR.

For with-replacement or with-minimum-replacement selection methods, the output data set includes a variable NumberHits that records the number of hits (selections) for each unit. If you specify METHOD=SYS and do not specify a SIZE statement (or the PPS option in the SAMPLINGUNIT statement), PROC SURVEYSELECT uses systematic selection with equal probability. If you specify METHOD=PPS_WR, you must name a size measure variable in the SIZE statement or specify the PPS option in the SAMPLINGUNIT statement.

If you specify a stratum sampling rate of 0, then PROC SURVEYSELECT does not select a sample from the stratum.

You can specify a rate value as a number between 0 and 1. Davis has extensive experience working with Base SAS code, SAS/ASSIST software, the Analyst Application, and SAS Enterprise Guide software. The SAMPSIZE= data set is a secondary input data set. Each stratum cost must be a positive number.

See the section Unrestricted Random Sampling for details. When a size measure exceeds the value max, PROC SURVEYSELECT adjusts the size measure downward to equal max. The STRATA groups should appear in the same order in the MAXSIZE= data set as in the DATA= data set. The SEED= value must be a positive integer.

Use the CERTSIZE=P option when you have already named the secondary data set in another option, such as the SAMPSIZE=SAS-data-set option. By default, the output data set includes only those units selected for the sample. The SELECTALL option is not available for with-replacement selection methods, with-minimum-replacement methods, or those PPS methods that select two units per stratum. NMIN=n specifies the minimum stratum sample size n for the SAMPRATE= option.

The variable Certain in the OUT= data set identifies the certainty selections, which have selection probabilities equal to 1. The STRATA groups should appear in the same order in the SAMPRATE= data set as in the DATA= data set. To select a sample from a stratum, the value of the stratum sample size must be positive. You can specify the value of in the ALPHA= option in the STRATA statement.