Transcription of 246-2012: Simplifying Effective Data Transformation …
{{id}} {{{paragraph}}}
Paper 246-2012 Simplifying Effective Data Transformation Via proc transpose Arthur X. Li, City of Hope Comprehensive Cancer Center, Duarte, CA ABSTRACT You can store data with repeated measures for each subject, either with repeated measures in columns (one observation per subject) or with repeated measures in rows (multiple observations per subject). Transforming data between formats is a common task because different statistical procedures require different data shapes. Experienced programmers often use ARRAY processing to reshape the data, which can be challenging for novice SAS users.
Paper 246-2012 Simplifying Effective Data Transformation Via PROC TRANSPOSE Arthur X. Li, City of Hope Comprehensive Cancer Center, Duarte, CA
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
{{id}} {{{paragraph}}}
060-2009: Learn the Basics of PROC TRANSPOSE, 060-2009 Learn the Basics of Proc Transpose, Proc Transpose, PROC, An Animated Guide: Proc Transpose, Changing the Shape of Your, Changing the Shape of Your Data: PROC TRANSPOSE vs, Transpose, SAS Formats SAS Informats, For Game Programmers: Inverse Kinematics