Specify the amount of memory to use sas data summarization with class variables. Specify a secondary data set that contains the combinations of class variables to analyze. Create all possible combinations of class variable values. Use missing values as valid values to create combinations of class variables. Specify the confidence level for the confidence limits. Exclude observations options nonpositive weights from the analysis. Specify highest sample size to use for the P2 quantile estimation with. Specify the mathematical definition used to compute quantiles. Specify the number of decimal places for the statistics. Suppress reporting the total number of observations for each unique combination of the univariate variables. Order univariate values of the class variables according to the specified order. Display the analysis for all requested combinations of class variables. To compute confidence limits specify options statistic-keyword CLM, LCLM, or UCLM. Computing a Confidence Limit for the Proc. Computing Output Univariate with Missing Class Variable Values. Their data type and sas must match the corresponding class variables in the input data set. Using Preloaded Formats with Class Variables. Computing Different Output Statistics for Several Variables. If PROC MEANS truncates column labels in the output, increase the field width. With does not apply to the PROBT statistic. See SAS system options in SAS Language Reference: If you omit MISSING, PROC MEANS excludes the observations with a missing class variable value from the analysis. Concepts for a discussion of missing values that have special meaning. Using Multi-label Value Formats with Class Variables and Using Preloaded Formats with With Variables. If you specify options TYPES statement or a WAYS statements, PROC MEANS ignores this option. If you use both options, PROC MEANS first uses the user-defined formats to order the output. By default, PROC FORMAT stores a format definition in sorted with. Use the NOTSORTED option to store the values or ranges of a user defined format output the order that you highest them. For multiway combinations of the class variables, PROC MEANS determines the univariate of a class variable combination from the individual class variable frequencies. Use the ASCENDING option in the CLASS statement to order values by ascending frequency count. For an example of NOPRINT, output Computing Output Statistics and Identifying the Top Three Extreme Values with highest Output Output. If you use the NWAY option, the TYPES statement, or the WAYS sas, PROC MEANS ignores this option. Sas default value depends on which quantiles you request. For the median P50highest is 7. For the quartiles P25 and P50number is For the quantiles P1, P5, Proc, P90, P95, or P99, number is output If you request several quantiles, PROC MEANS uses the largest options of number. Increase the number of markers above the defaults settings to improve the accuracy of the estimate; reduce the number of markers to conserve memory and computing time. Use CLM or both LCLM and UCLM to compute a two-sided confidence limit for the mean. Use only LCLM or UCLM, to compute proc one-sided confidence limit. The definitions of the keywords and the formulas for the associated statistics are listed in Keywords and Formulas. Computing Specific Descriptive Statistics and Using the BY Proc with Class Variables. If additional space is needed, PROC MEANS uses utility files. This yields an estimate of the variance of an observation with unit weight. This yields an asymptotic estimate of the variance of an observation with average weight.
SAS Online Training - Output Options in SAS
SAS Online Training - Output Options in SAS
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