Learning SAS by example : a programmer's guide /

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If you like learning by example, then this straightforward book makes it easy to learn SAS programming. In an instructive and conversational tone, author Ron Cody clearly explains each programming technique and then illustrates it with one or more real-life examples, followed by a detailed descripti...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Cody, Ronald P.
Autor Corporativo: SAS Institute
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cary, N.C. : SAS Institute, 2007.
Colección:SAS Press series.
Temas:
SAS (Computer file)
SAS (Computer file) > Handbooks, manuals, etc.
SAS/GRAPH.
SAS/STAT.
SAS (Logiciel)
SAS (Logiciel) > Guides, manuels, etc.
SAS/GRAPH (Logiciel)
SAS/STAT (Logiciel)
SAS (Computer file) / Handbooks, manuals, etc.
SAS (Computer program language) > Handbooks, manuals, etc.
Database management.
Bases de données > Gestion.
SAS (Langage de programmation) > Guides, manuels, etc.
COMPUTERS > Programming Languages > C♯
COMPUTERS > Programming Languages > Java.
COMPUTERS > Programming Languages > Pascal.
SAS (Computer program language)
Engineering & Applied Sciences.
Computer Science.
Mathematical Computing.
Programming Languages.
Biometry > methods.
Data Interpretation, Statistical.
Statistics as Topic > methods.
Handbooks and manuals.
CD-ROMs.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • pt. 1. Getting started : What is SAS?
  • Writing your first SAS program
  • pt. 2. DATA step processing : Reading raw data from external files
  • Creating permanent SAS data sets
  • Creating formats and labels
  • Reading and writing data from an Excel spreadsheet
  • Performing conditional processing
  • Performing iterative processing: looping
  • Working with dates
  • Subsetting and combining SAS data sets
  • Working with numeric functions
  • Working with character functions
  • Working with arrays
  • pt. 3. Presenting and summarizing your data : Displaying your data
  • Creating customized reports
  • Summarizing your data
  • Counting frequencies
  • Creating tabular reports
  • Introducing the output delivery system
  • Generating high-quality graphics
  • pt. 4. Advanced topics : Using advanced INPUT techniques
  • Using advanced features of user-defined formats and informats
  • Restructuring SAS data sets
  • Working with multiple observations per subject
  • Introducing the SAS macro language
  • Introducing the structured query language.

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