dzakwanalifi / regLins

regLins is an R package designed for performing linear regression analysis using various optimization methods. It also provides an interactive Shiny application for a more dynamic analysis experience.

regLins

regLins is an R package for performing linear regression analysis with different optimization methods and provides a Shiny application for interactive analysis.

Installation

Prerequisites

Ensure you have R installed. You can download it from CRAN.

Install devtools Package

If you haven't already installed the devtools package, do so by running:

install.packages("devtools")

Install regLins from GitHub

You can install the regLins package directly from GitHub using the devtools package:

library(devtools)
install_github("dzakwanalifi/regLins")

Usage

Linear Regression with Optimization

The regLin function allows you to perform linear regression using different optimization methods.

Example Usage

library(regLins)

# Generate some example data
set.seed(123)
y <- rnorm(100)
X <- cbind(1, rnorm(100))

# Perform regression using the regLin function
model <- regLin(y, X, method = "kuadrat terkecil")

# Summarize the model
summary(model)

Running the Shiny App

The regLins package includes a Shiny app for interactive analysis.

Running the Shiny App

library(shiny)
library(regLins)

# Run the Shiny app
runApp(system.file("shinyApp", package = "regLins"))

Shiny App Interface

1. Upload File: Allows you to upload a CSV or Excel file.
2. Select Variables: Dropdown menus to select response and predictor variables.
3. Choose Method: Option to select the optimization method.
4. Run Regression: Button to run the regression analysis.
5. Summary Tab: Displays a summary of the regression model.
6. Plot Tab: Shows diagnostic plots of the regression model.

Detailed Function Documentation

regLin Function

Performs linear regression with optimization methods.

Usage

regLin(y, X, method = "kuadrat terkecil")

Arguments

• y: A numeric vector of the response variable.
• X: A numeric matrix of predictor variables.
• method: The optimization method to be used ("kuadrat terkecil" or "kemungkinan").

Value

Returns an object of class regLins.

summary Function

Provides a summary of the regression results.

Usage

summary(object)

Arguments

• object: An object of class regLins.

plot Function

Plots diagnostic plots for the regression model.

Usage

plot(object)

Arguments

• object: An object of class regLins.

Author

Muhammad Dzakwan Alifi
[e-mail]

License

This package is licensed under the GPL-3 License.

Instructions for the User

1. Clone the Repository: If you want to work directly with the source code or make contributions, you can clone the repository:

   git clone https://github.com/dzakwanalifi/regLins.git

2. Issues and Contributions: If you encounter any issues or want to contribute to the development of this package, feel free to open an issue or submit a pull request on GitHub.