Website for John Verzani

This directory contains the Kitchens' data sets in R's format. They can be read in as follows:

directly with a command like, as in

> source("http://www.math.csi.cuny.edu/verzani/classes/MTH214/DataSets/abbey.R")

which reads in the abbey data set.

Alternately, you can copy and paste this function into your R session:
```
getdata = function(x) {
  front = "http://www.math.csi.cuny.edu/verzani/classes/MTH214/DataSets/"
  end = ".R"
  url = paste(front, tolower(x), end, sep="")
  source(url)
}
```
Then you can use this function as follows
```
> getdata("abbey")
```
The advantage here is that this function will be saved between sessions so only needs to be entered once.

The data sets have a filename, such as abbey.R, that when sourced creates a variable with some name in the R session, in this case ABBEY. To see which name, you can try the command

ls()

Typing ABBEY produces its values:

> ABBEY
$price
 [1] 296 296 300 302 300 304 303 299 293 294 294 293 295 287 288 297 305 307 307[20] 304 303 304 304 309 309 309 307 306 304 300 296 301 298 295 295 293 292 297[39] 294 293 306 303 301 303 308 305 302 301 297 299

The extra $price says that ABBEY contains a variable price. This can be accessed by attaching ABBEY with the command

> attach(ABBEY)

Now price can be used by name. For instance, to make a histogram of the abbey data:

> getdata("abbey")
> attach(ABBEY)
> hist(price)

The dealers data set has two variables "Replace" and "Recomnd." These commands will produce a scatterplot:

> getdata("dealers")
> attach(DEALERS)
> plot(Replace, Recomnd)

> getdata("dealers")
> plot(Recomnd ~ Replace, data=DEALERS)

Folders

Files

My R textbook