lmGC: Linear Regression

In homerhanumat/tigerstats: R Functions for Elementary Statistics

Description

Regression analysis (one numerical predictor variable) with simplified output. Wrapper function for lm in package stats.

Usage

lmGC(form,data=parent.frame(),graph=FALSE,check=FALSE)

Arguments

form	formula of form y~x, both variables numeric
data	dataframe supplying y and x above. If one or more of the variables is not in data, then they will be searched for in the parent environment.
graph	Produce scatterplot with fitted polynomial, together with prediction standard error bands
check	Asks to produce a lowess or gam curve with approximate 95 fitted line wanders outside the band, then perhaps a linear fit is not appropriate.

Value

A list of class "GClm". Elements that may be queried include "slope", "intercept", "s" (residual standard error), "R^2" (unadjusted).

Author(s)

Homer White [e-mail]

Examples

#To study the relationship between two numerical variables:
lmGC(fastest~GPA,data=m111survey,graph=TRUE)

homerhanumat/tigerstats documentation built on Sept. 27, 2020, 3:21 a.m.