Once you start your R program, there are example data sets available within R along with loaded packages. You can list the data sets by their names and then load a data set into memory to be used in your statistical analysis. For example, in the book “Modern Applied Statistics with S” a data set called phones is used in Chapter 6 for robust regression and we want to use the same data set for our own examples. Here is how to locate the data set and load it into R.
Command library loads the package MASS (for Modern Applied Statistics with S) into memory. Command data() will list all the datasets in loaded packages. The command data(phones) will load the data set phones into memory.
library(MASS) data() Data sets in package 'datasets': AirPassengers Monthly Airline Passenger Numbers 1949-1960 BJsales Sales Data with Leading Indicator BJsales.lead (BJsales) Sales Data with Leading Indicator BOD Biochemical Oxygen Demand CO2 Carbon Dioxide uptake in grass plants ChickWeight Weight versus age of chicks on different diets DNase Elisa assay of DNase EuStockMarkets Daily Closing Prices of Major European Stock Indices, 1991-1998 ........ (more data sets in between are omitted.) uspop Populations Recorded by the US Census volcano Topographic Information on Auckland's Maunga Whau Volcano warpbreaks The Number of Breaks in Yarn during Weaving women Average Heights and Weights for American Women Data sets in package 'MASS': Aids2 Australian AIDS Survival Data Animals Brain and Body Weights for 28 Species ... (more data sets are omitted here) oats Data from an Oats Field Trial painters The Painter's Data of de Piles petrol N. L. Prater's Petrol Refinery Data phones Belgium Phone Calls 1950-1973 quine Absenteeism from School in Rural New South Wales ... (more data sets are omitted here) Use 'data(package = .packages(all.available = TRUE))' to list the data sets in all *available* packages. data(phones) phones $year  50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 $calls  4.4 4.7 4.7 5.9 6.6 7.3 8.1 8.8 10.6 12.0 13.5 14.9  16.1 21.2 119.0 124.0 142.0 159.0 182.0 212.0 43.0 24.0 27.0 29.0