i r newbie , looking @ book an introduction statistical learning applications in r. many of examples use package islr. unfortunately, struggle example: install package (i have tried in r , rstudio) , execute following code
auto=read.table("auto.data") when that, following error message:
error in file(file, "rt") : cannot open connection
in addition: warning message:
in file(file, "rt") :
cannot open file 'auto.data': no such file or directory
i tried attach package command library(islr) after downloading - without success. not sure if issue related path of package don't believe so. @ least tried save package in working directory.
i feel bit stupid task looks more easy. if out, appreciated. related (including pdf of book can found here
just use
library(islr) then auto dataset becomes available:
> head(auto) mpg cylinders displacement horsepower weight acceleration year origin name 1 18 8 307 130 3504 12.0 70 1 chevrolet chevelle malibu 2 15 8 350 165 3693 11.5 70 1 buick skylark 320 3 18 8 318 150 3436 11.0 70 1 plymouth satellite 4 16 8 304 150 3433 12.0 70 1 amc rebel sst 5 17 8 302 140 3449 10.5 70 1 ford torino 6 15 8 429 198 4341 10.0 70 1 ford galaxie 500 please read book carefully. excerpt page 48:
we begin loading in auto data set. data part of islr library (we discuss libraries in chapter 3) illustrate read.table() function load text file. following command load the auto.data file r , store object called auto , in format referred data frame. (the text file data frame can obtained book’s website.)
(emphasis added).
here link file should saved in working directory:
http://www-bcf.usc.edu/~gareth/isl/auto.data
once file saved name auto.data in working directory, command
auto <- read.table("auto.data") should work without problem.
better results obtained using
auto <- read.table("auto.data", header=true) as described later in book.
