cs: Random Samples from Cauchy Distribution In ACSWR: A Companion Package for the Book "A Course in Statistics with R"

Description

The data set is used to understand the sampling variation of the score function. The simulated data is available in Pawitan (2001).

Usage

 1 data(cs)

Format

A data frame with 10 observations on the following 20 variables.

Sample.1

a numeric vector

Sample.2

a numeric vector

Sample.3

a numeric vector

Sample.4

a numeric vector

Sample.5

a numeric vector

Sample.6

a numeric vector

Sample.7

a numeric vector

Sample.8

a numeric vector

Sample.9

a numeric vector

Sample.10

a numeric vector

Sample.11

a numeric vector

Sample.12

a numeric vector

Sample.13

a numeric vector

Sample.14

a numeric vector

Sample.15

a numeric vector

Sample.16

a numeric vector

Sample.17

a numeric vector

Sample.18

a numeric vector

Sample.19

a numeric vector

Sample.20

a numeric vector

References

Pawitan, Y. (2001). In All Likelihood. Oxford Science Publications.

Examples

 1 2 3 4 5 6 7 8 9 10 11 12 data(cs) n <- 10 cauchy_score_fn <- function(mu,x) sum(2*(x-mu)/(1+(x-mu)^{2})) mu <- seq(from=-15,to=20,by=0.5) plot(mu,sapply(mu,cauchy_score_fn,x=,1]),"l",xlab=expression(mu), ylab=expression(S(mu)),ylim=c(-10,10)) title(main="D: Score Function Plot of Cauchy Model") for(i in 2:20) lines(mu,sapply(mu, cauchy_score_fn,x=,i]),"l") abline(v=4) abline(h=0)

Example output ACSWR documentation built on May 2, 2019, 6:53 a.m.