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.