law {bootstrap} | R Documentation |

## Law school data from Efron and Tibshirani

### Description

The law school data. A random sample of size *n=15* from the
universe of 82 USA law schools. Two measurements: LSAT
(average score on
a national law test) and GPA (average undergraduate
grade-point average).
`law82`

contains data for the whole universe of 82 law schools.

### Usage

data(law)

### Format

A data frame with 15 observations on the following 2 variables.

- LSAT
a numeric vector

- GPA
a numeric vector

### Details

In the book for which this package is support software, this example
is used to bootstrap the correlation coefficient.

### Source

Efron, B. and Tibshirani, R. (1993) An Introduction to the Bootstrap.
Chapman and Hall, New York, London.

### See Also

`law82`

.

### Examples

str(law)
if(interactive())par(ask=TRUE)
plot(law)
theta <- function(ind) cor(law[ind,1], law[ind,2])
theta(1:15) # sample estimate
law.boot <- bootstrap(1:15, 2000, theta)
sd(law.boot$thetastar) # bootstrap standard error
hist(law.boot$thetastar)
# bootstrap t confidence limits for the correlation coefficient:
theta <- function(ind) cor(law[ind,1], law[ind,2])
boott(1:15, theta, VS=FALSE)$confpoints
boott(1:15, theta, VS=TRUE)$confpoints
# Observe the difference! See page 162 of the book.
# abcnon(as.matrix(law), function(p,x) cov.wt(x, p, cor=TRUE)$cor[1,2] )$limits
# The above cannot be used, as the resampling vector can take negative values!

[Package

*bootstrap* version 2019.6

Index]