asbio (version 0.2-1)

ls.plot: Plot of least squares function.

Description

Depicts the process of least squares estimation by ploting the least squares function with respect to a vector of estimate possibilities.

Usage

ls.plot(X, possibilities, parameter = "mu", est.lty = 2, est.col = 2, ...)

Arguments

X

A numericeric veector containing sample data.

possibilities

An ordered numeric sequence of possible parameter estimates. Inclusion of the least squares estimate in the vector (e.g. $bar{X}$ for $mu$ will cause the least squares function be minimized at this value.

parameter

Parameter to be estimated. Only estimation for E(X) is currently implemented. Note that if X ~ N($mu$,$sigma^2$) that E(X) = $mu$.

est.lty

Line type to be used to indicate the least squares estimate.

est.col

Line color to be used to indicate the least squares estimate.

...

Additional arguments to plot

Value

• A plot of the least squares function is reurned along with the least squares estimate for E(X) given a set of possibilities.

See Also

loglik.plot

Examples

X<-c(11.2,10.8,9.0,12.4,12.1,10.3,10.4,10.6,9.3,11.8)
possibilities<-seq(8,14,.01)
ls.plot(X,possibilities, xlab=expression(paste("Estimates for ", mu)))