Proc datasets sas

    • [DOC File]SAS Frequency Tabulations and Contingency Tables (Crosstabs)

      https://info.5y1.org/proc-datasets-sas_1_afcf25.html

      How to set up a permanent SAS data set with user-defined formats. How to read raw data from a file with two lines per case. How to save user-defined formats permanently. How to recode continuous variables into categories. Procs used: Proc Format. Proc Datasets. Proc Contents. Proc Means. Filename: afifi_setup.sas

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    • [DOC File]SAS Procedures for Common Statistical Analyses

      https://info.5y1.org/proc-datasets-sas_1_64996f.html

      For all descriptions, we will have datasets where each line represents an individual case, and there are 3 quantitative variables: X, Y, Z measured; and 2 qualtative variables: A, B given, unless otherwise noted.

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    • [DOC File]SAS

      https://info.5y1.org/proc-datasets-sas_1_8d5087.html

      Prior to SAS 9.1, SAS data sets could contain up to 32,767 variables. Beginning with SAS 9.1, the maximum number of variables in a SAS data set is limited by the resources available on your computer. The number of observations, no matter which version of SAS you are using, is limited only by your computer’s capacity to handle and store them.

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    • [DOC File]PROC REG: Syntax

      https://info.5y1.org/proc-datasets-sas_1_12ba23.html

      For more information on the DATASETS procedure, refer to the discussion in the SAS Procedures Guide. PROC REG: FREQ Statement. FREQ. variable ; When a FREQ statement appears, each observation in the input data set is assumed to represent n observations, where n is the value of the FREQ variable. The analysis produced using a FREQ statement is ...

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    • [DOCX File]Data is in SAS dataset “leaders” - CSU East Bay

      https://info.5y1.org/proc-datasets-sas_1_22092f.html

      Data is in SAS dataset “leaders” Description is in SDA-SAS textbook: "Survival Analysis Using SAS" 2nd ed. Page 207. Section 1: Data Exploration. First, Draw empirical survival curves/cumulative hazards of three types without covariates. Type 1: exit by constitutional means. Type 2: death by natural causes. Type 3: non-constitutional exit ...

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    • [DOC File]20 - Stanford University

      https://info.5y1.org/proc-datasets-sas_1_c45f02.html

      7. The first step of the bootstrap is sampling with replacement. Fortunately, SAS has a PROC that will do this for you, PROC SURVEYSELECT. **You can thank Ray Balise for suggesting this procedure, rather than the more tricky code I originally had in mind! proc. surveyselect. data=lab8.kyphosis method=urs n= 83. rep= 100. out=boot; run;

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    • [DOC File]EXTRACTING CASES WITH A GIVEN STRING FROM SAS

      https://info.5y1.org/proc-datasets-sas_1_c261fd.html

      PROC COMPARE. compares two SAS datasets with each other. It warns you if it detects observations (rows) or variables (columns) that do not agree across the two datasets. When there are no disagreements, you can be confident that data entry is reliable. To use . PROC COMPARE, enter your data twice, once each into two separate raw data files.

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    • [DOC File]Working With SAS Formats Catalogs

      https://info.5y1.org/proc-datasets-sas_1_52fd4b.html

      This option causes SAS to ignore the fact that the necessary formats are not present when dealing with a SAS data set, and it will proceed without errors. 2. To permanently delete user-defined formats from a SAS data set, you can use Proc Datasets. This procedure allows you to modify many attributes of a SAS data set.

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    • [DOC File]SAS Data Quality – Cleanse: Techniques for Merge/Purge on ...

      https://info.5y1.org/proc-datasets-sas_1_9fd4b7.html

      For instance, we may know that the names from a particular data source always appear in the order last-first-middle-suffix-profession. So, we can use the most elementary SAS parsing functions (scan(), indexw(), etc.), SAS regular expressions, or, in Version 9, Perl regular expression functions in SAS, to extract each token.

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    • [DOCX File]College of Education | University of Iowa

      https://info.5y1.org/proc-datasets-sas_1_47aab3.html

      Creating blank datasets: Included for future reference. It is often helpful to have blank datasets created so that even if a procedure does not produce a table, it can still be appended to an existing dataset. This is especially true when macros are used. The following code would create two blank datasets.

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