Utility script analyzing metadata and content of the SASHELP.CLASS table to determine maximum variable and data lengths, potentially to optimize column widths during export (e.g., Excel).
This SAS script uses the GPLOT procedure to create a scatter plot of the 'weight' and 'height' variables from the SASHELP.CLASS example dataset. The initial comment block indicates relationships with other processes or documentation (pre-condition, post-condition, configuration file).
Script generating a series of numbered macro variables (name01 to name19) from the data in the SASHELP.CLASS table.
This SAS script performs a simple linear regression to model weight as a function of height using the `sashelp.class` dataset. It then proceeds to explore the metadata of the `sashelp` library by listing all its members into a temporary dataset, and then specifically printing members of type 'DAT...
This script illustrates an introductory example of using the PROC MCMC procedure for Bayesian regression analysis, modeling weight as a function of height using the SASHELP.CLASS dataset.
This script performs a Bayesian MCMC analysis on the `sashelp.class` dataset and then generates diagnostic plots for the analysis results.
This SAS script tests the full lifecycle of a web service on SAS Viya: creation, execution via a jobflow, retrieval of the log and results, and final validation. The web service exposes the content of the `sashelp.class` dataset.
This SAS script defines a macro to create a folder on the file system, then uses it to create a specified folder and copy the SASHELP.CLASS dataset into it.
Dynamically creating macro variables from SASHELP.CLASS dataset and displaying them in the SAS log.
This SAS script performs regression analyses on the internal 'sashelp.class' dataset and on a population dataset created from literal data, using ODS to capture intermediate results.