![]() Notice the PROC FREQ includes notes on the macro values used. All variables will be parsed regarding type, real length and display format (including no. NOTE: PROCEDURE FREQ used (Total process time): This SAS macro displays the structure of a SAS dataset. NOTE: There were 5083 observations read from the data set Y.NLSWOMEN. SYMBOLGEN: Macro variable MSTATUS resolves to R0002400 R0133700 ![]() SYMBOLGEN: Macro variable DSN resolves to y.nlswomen Physical Name(1): Z:\PUBLIC_web\SASworkshops\Macros NOTE: Libref LIBRARY was successfully assigned as follows: Your log will look like this: 3 libname library (y) ![]() In much of the SAS documentation, macro variables are called "symbols" and lists of macro variables are called "symbol tables". If you want to see what the code looks like after macro variable substitution, you need to invoke the SAS option SYMBOLGEN. R0869900 R0997700 R1290700 R1664710 R3507200 R4278200īy default the code that is echoed in the log is just what you send to the macro interpreter. You can also evaluate 'immediate' macro expressions in a convenient quick view window. You can use it to view the current values for all SAS macro variables that are defined within your SAS session. %let mstatus = R0002400 R0133700 /*R0205100 R0288200 The SAS macro variable viewer is a tool thats part of SAS Enterprise Guide. When you go to use the macro variable, the name is always prefixed by an ampersand, "&". Note that when you create a macro variable, you give it a SAS name following the same rules you use for variable names within data sets (no spaces, no special characters, capitalization does not matter). Whatever is on the right-hand side of the equals sign in a %LET statement is evaluated before the assignment is made. Qube Research & Technologies Paris SAS is authorised and regulated by the French Authorities des Marches Financiers. Where the value is a token fragment to be combined with a suffix, the macro variable is called with a leading ampersand and a trailing period.Ī macro value may be hard-coded as a constant, but it can also be defined as the result of macro functions. To make a macro value include more than one SAS statement requires the use of macro functions, and this is more typically done as a macro than as a macro variable. This is called macro resolution.Īlthough macro values are text, you typically do not use quotes in defining them - if you do, the quotes are included when the text is substituted.Ī macro value will typically be a token, a token fragment, or a collection of tokens. Then you use the macro variable to substitute that text into some block of SAS code. First you assign a value to a macro variable - this value will be some string of text. ![]() ![]() Used by %TWOSAMPLE.Working with macro variables is a two-part process. %WILCOXON: This macro provides the results of the Wilcoxon rank-sum test. %UNISUM: This macro produces a dataset of univariate summary statistics in a format that is more easily manipulated than the ODS data set Summary produced by PROC MEANS. (/proj/nhsass/nhsas00/nhstools/sasautos), as well as other public SAS macros, such as PM. Uses %NORMALTEST, %UNISUM, and %WILCOXON. This will allow you to use all the SAS read macros for the data sets. %TWOSAMPLE: This macro produces a convenient table of a two-sample t-test, conducting tests and choosing the most appropriate test to report: equal variance t-test, unequal variance t-test or Wilcoxon rank-sum test. They make it easy to avoid using non-semantic classes like. %NORMALTEST: This macro provides the results of a test of normality. Mixins allow you to define styles that can be re-used throughout your stylesheet. %IBYJ: This macro produces a convenient summary table of an I by J PROC FREQ with Chi-square and/or Fisher’s Exact test results. %GLM2X2LOOP: This runs the %GLM2X2 macro and searches for a transformation that will provide normality and equal variance. %GLM2X2: This macro runs a 2×2 GLM model producing a convenient one page summary including all pairwise comparisons and test for normality and equal variance. %COMPARE_CONTENTS: This macro produces a comparison listing of the variable names included in each SAS dataset from a list of datasets. ![]()
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