m_optim: Function to derive the m index

In jinimp/zhbit7: Regression method set

Description

m_optim is use to find out the index of the independent variable when the variance of the error term is proportional to the independent variable.

Usage

m_optim(data, x.col, y.col, from = -2, to = 2, by = 0.5)

Arguments

data	Must be a data frame, and the data data frame contains only the independent variable and the dependent variable, which can not contain other independent variables.
x.col	independent variable of columns in the data .
y.col	dependent variable of columns in the data .
from,to	the starting and (maximal) end values of the sequence.
by	number: increment of the sequence.

Author(s)

Jinquan Lin

See Also

The model fitting function lm ;summary.lm

Examples

##----

data(table36)
m_optim(data=table36,x.col=2,y.col=3)
m_optim(data=table36,x.col=2,y.col=3,from=1,to=5,by=0.5)

jinimp/zhbit7 documentation built on May 19, 2019, 10:36 a.m.