README.md

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

zmjianglm

Overview

This is a package used to fit linear regression model. It contains two functions:

• mylm() to fit a linear regression model and choose the printing style
• predictlm() to get predicted value of the new data set based on the fitted model

mylm() allows you to get important items in linear regression fitting. You can learn more about the usage in vignette("TutorialandComparison")

Installation

To install the package:

```{r,eval=FALSE} devtools::install_github("ZimanJiang/zmjianglm", build_vignettes = TRUE)

# Usage
```{r}
library(zmjianglm)

n <- nrow(mtcars)
train_n <- floor(n*0.7)
traindata <- mtcars[1:train_n, ]#the original data set
testdata <- mtcars[(train_n+1):n, ]#the new data set

model <- mylm(mpg~wt,traindata,"summary")
predicted_value <- predictlm(model,testdata)

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