Diff for "FAQ/Rin" - CBU statistics Wiki
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Revision 8 as of 2013-03-08 10:17:30
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 * Are You Ready for R? Open Source Software for Institutional Research [http://tegr.it/y/aq8 is here]  * Are You Ready for R? Open Source Software for Institutional Research [[http://tegr.it/y/aq8|is here]]
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 * Background Information About R is [http://tegr.it/y/azw here.]  * Background Information About R is [[http://tegr.it/y/azw|here.]]
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 * Orientation of This Training Session is [http://tegr.it/y/azu here.]  * Orientation of This Training Session is [[http://tegr.it/y/azu|here.]]
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 * Download R details are [http://tegr.it/y/azs here.]  * Download R details are [[http://tegr.it/y/azs|here.]]
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 * Exposure to the R Interface is illustrated [http://tegr.it/y/azq here.]  * Exposure to the R Interface is illustrated [[http://tegr.it/y/azq|here.]]
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 * Using R in Interactive Mode is explained [http://tegr.it/y/azm here.]  * Using R in Interactive Mode is explained [[http://tegr.it/y/azm|here.]]
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 * Using R Syntax in a .R Script File is presented [http://tegr.it/y/azk here.]  * Using R Syntax in a .R Script File is presented [[http://tegr.it/y/azk|here.]]
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 * Importing a .csv Spreadsheet-Type Data File into R is shown [http://tegr.it/y/azi here.]  * Importing a .csv Spreadsheet-Type Data File into R is shown [[http://tegr.it/y/azi|here.]]
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 * Organizing the Data is [http://tegr.it/y/azg here.]  * Organizing the Data is [[http://tegr.it/y/azg|here.]]
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 * Conducting a Visual Data Check can be viewed [http://tegr.it/y/aze here.]  * Conducting a Visual Data Check can be viewed [[http://tegr.it/y/aze|here.]]
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 * Supplemental R Packages are mentioned [http://tegr.it/y/azc here.]  * Supplemental R Packages are mentioned [[http://tegr.it/y/azc|here.]]
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 * Summary Descriptive Statistics are shown [http://tegr.it/y/aza here.]  * Summary Descriptive Statistics are shown [[http://tegr.it/y/aza|here.]]
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 * Breakout Descriptive Statistics are [http://tegr.it/y/az8 here.]  * Breakout Descriptive Statistics are [[http://tegr.it/y/az8|here.]]
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 * Using R for Student's t-Test is [http://tegr.it/y/az4 here.]  * Using R for Student's t-Test is [[http://tegr.it/y/az4|here.]]
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 * Using R for Oneway Analysis of Variance (ANOVA) is [http://tegr.it/y/az2 here.]  * Using R for Oneway Analysis of Variance (ANOVA) is [[http://tegr.it/y/az2|here.]]
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 * Using R for Multivariate Analysis of Variance (MANOVA) is [http://tegr.it/y/az0 here.]  * Using R for Multivariate Analysis of Variance (MANOVA) is [[http://tegr.it/y/az0|here.]]
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 * Using R for Correlation and Measures of Association is [http://tegr.it/y/ayy here.]  * Using R for Correlation and Measures of Association is [[http://tegr.it/y/ayy|here.]]
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 * Preparing to Exit, Save, and Later Retrieve This R Session is shown [http://tegr.it/y/ayw here.]  * Preparing to Exit, Save, and Later Retrieve This R Session is shown [[http://tegr.it/y/ayw|here.]]
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 * Demonstrating Batch Processing with a Script File is [http://tegr.it/y/ayu here.]  * Demonstrating Batch Processing with a Script File is [[http://tegr.it/y/ayu|here.]]

How do I read R syntax code into a R session and obtain primers on other issues to get started with R?

You can store R code including function definitions in an ordinary text file and copy and paste into a R session. This means you retain a R program archive which can be easily adapted and quickly run in any R session.

Using source("filename.R") imports R code into R from a file called filename.R which may, for example, contain sets of functions.

For those wishing to get started using R some videos on particular aspects are available for viewing below. These videos have been put together by Dr. Thomas W. MacFarlane of Nova Southeastern University and illustrate and implement the R code for various analyses.

Getting started with R

  • Are You Ready for R? Open Source Software for Institutional Research is here

  • Background Information About R is here.

  • Orientation of This Training Session is here.

  • Download R details are here.

  • Exposure to the R Interface is illustrated here.

  • Using R in Interactive Mode is explained here.

  • Using R Syntax in a .R Script File is presented here.

  • Importing a .csv Spreadsheet-Type Data File into R is shown here.

  • Organizing the Data is here.

  • Conducting a Visual Data Check can be viewed here.

  • Supplemental R Packages are mentioned here.

  • Summary Descriptive Statistics are shown here.

  • Breakout Descriptive Statistics are here.

  • Using R for Student's t-Test is here.

  • Using R for Oneway Analysis of Variance (ANOVA) is here.

  • Using R for Multivariate Analysis of Variance (MANOVA) is here.

  • Using R for Correlation and Measures of Association is here.

  • Preparing to Exit, Save, and Later Retrieve This R Session is shown here.

  • Demonstrating Batch Processing with a Script File is here.

None: FAQ/Rin (last edited 2013-03-08 10:17:30 by localhost)