mylm: Fitting linear Models

In ZimanJiang/mylm: an own package for linear regression in R

Description

Fit the linear regression model.

Usage

mylm(obj, inputdata = NULL, style = "simple")

Arguments

obj	input formula
inputdata	dataset
style	Choose different kind of output. Nothing prints out if style = "nothing". Get only the model and coefficients if style = "simple". Get a summary of linear regresion if style = "summary"

Value

a list containing the following components:

Call	the formula of the model
fitted_value	the fitted mean value
Residuals	the usual residuals of the model
coefficients	a p*4 matrix with columns for the estimated coefficients, their standard error, t-statistics and p-value of the t-test
RSE	the square root of estimated variance (mean square error)
R_squared	the fraction of variance explained by the model
adjusted_R_squared	the fraction of variance explained by the model penalized by p
f_value	the statistic of F test
p_f	the p value of F test
d_f	degrees of freedom, a 2-vector (p,n-p)

Examples

mylm( mpg~wt+drat,inputdata = mtcars, style = "summary" )
mylm( mtcars$mpg~mtcars$wt+mtcars$drat )

ZimanJiang/mylm documentation built on Dec. 18, 2021, 9:22 p.m.