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Introduction to R & importing of different data formats (e.g. SAS, STATA, SPSS, etc) in R [1 of 4]

  • Writer: Clement Twumasi
    Clement Twumasi
  • Apr 1, 2021
  • 1 min read

Specific objectives

1. Brief introduction to the R environment and its IDEs (R base, R studio and Jupyter Notebook).


2. Objects, variable types, Arrays and matrices & installing R packages.


3. Vector and matrix arithmetics (using R as a calculator).


4. Set a working directory and importing different data formats (.CSV, .TXT, XLS/XLXS, SPSS, SAS, STATA, etc.)


5. Attaching and detaching variables & its effects


6. Exporting data or results from R as a CSV file into desired working directory. For other general and specific information about my R class, kindly visit the link below


https://piazza.com/clements_school_on_data_analysis/fall2020/ss401/info



 
 
 

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NB: For a detailed and updated list of all my publications, access my ORCID Profile from here: https://orcid.org/0000-0001-6817-8356

 
 
 

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@Created by: Clement Twumasi

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