If you specify AUTONAME, then the default is the combination of theĪnalysis variable name and the statistic-keyword. Name contains the statistic for the second analysis variable and so on. Theįirst name contains the statistic for the first analysis variable the second In output data set that will contain the analysis variable statistics. Specifies one or more names for the variables Specifies the names of one or more numericĪnalysis variables whose statistics you want to store in the output data set. In a single OUTPUT statement, unless you also use the AUTONAME option. MEANS allows the statistic-keyword only once If you omit variable and name(s), then PROC However, statisticsĬomputed for N, NMISS, SUMWGT, USS, CSS, VAR, CV, T, PROBT, PRT, SKEWNESS,Īnd KURTOSIS will not inherit the analysis variable's format because thisįormat might be invalid for these statistics (for example, dollar or datetime Inherit the analysis variable's format, informat, and label. The available statistic keywords areīy default the statistics in the output data set Specifies which statistic to store in the The form of the output-statistic-specification is OUT= data set and names one or more variables that contain the statistics. You omit OUT=, then the data set is named DATA n, where n is the smallest integer that makes the name unique. If SAS-data-set does not exist, then PROC MEANS creates it. Identifying the Top Three Extreme Values with the Output Statistics Identifying an Extreme Value with the Output Statistics You can use multiple OUTPUT statements to createĬomputing Different Output Statistics for Several VariablesĬomputing Output Statistics with Missing Class Variable Values
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |