In yt-pan/lm.Bios625.Package.2021: lm_s (Title Case)

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

The myRfunclm package only contains the lm_s function. It will fit a linear model using given data set and will automatically print summary of coefficients and anova table of the model. This is a mimic of the lm function in the basic R language. This vignette shows how to use this function and compare it with the original R function.

To begin, we'll load package and build sample data set.

library(lm.Bios625.Package.2021)
set.seed(1010)
y = rnorm(1000)
x = matrix(rnorm(3000),1000,3)
data(mtcars)
d = mtcars

lm_s(formula, data) : Fit linear model and print the summary of coefficients and anova table.

Fit simple regression model:

m = lm_s(y~x[,1])

Compared with the R lm function:

m = lm(y~x[,1])
summary(m)
anova(m)

Fit mutiple regression model:

m = lm_s(y~x[,1]+x[,2]+x[,3])

Compared with the R lm function:

m = lm(y~x[,1]+x[,2]+x[,3])
summary(m)
anova(m)

Fit model form data set:

m = lm_s(mpg~hp+wt,data = d)

yt-pan/lm.Bios625.Package.2021 documentation built on Dec. 23, 2021, 8:18 p.m.