R Markdown

This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.

When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:

summary(cars)
##      speed           dist       
##  Min.   : 4.0   Min.   :  2.00  
##  1st Qu.:12.0   1st Qu.: 26.00  
##  Median :15.0   Median : 36.00  
##  Mean   :15.4   Mean   : 42.98  
##  3rd Qu.:19.0   3rd Qu.: 56.00  
##  Max.   :25.0   Max.   :120.00

Including Plots

You can also embed plots, for example:

Note that the echo = FALSE parameter was added to the code chunk to prevent printing of the R code that generated the plot. # Markdown content markdown_content <- ” # My Markdown File

Introduction

This is a sample Markdown file created using R programming.

Main Functions

1. clean_data()

Purpose:

This function cleans the input dataset by removing missing values and outliers.

Inputs:

  • data: Input dataset (data frame).

Outputs:

  • Cleaned dataset (data frame).

2. feature_scaling()

Purpose:

This function performs feature scaling on numerical features of the dataset.

Inputs:

  • data: Input dataset (data frame).
  • method: Scaling method (e.g., Min-Max scaling, Standardization).

Outputs:

  • Scaled dataset (data frame).

3. encode_categorical()

Purpose:

This function encodes categorical variables into numerical representations.

Inputs:

  • data: Input dataset (data frame).

Outputs:

  • Dataset with encoded categorical variables (data frame).

4. split_data()

Purpose:

This function splits the dataset into training and testing sets.

Inputs:

  • data: Input dataset (data frame).
  • test_size: Size of the testing set (default is 0.2).

Outputs:

  • Training dataset (data frame).
  • Testing dataset (data frame).

Conclusion

This Markdown file serves as documentation for the main functions developed in the project.

”

Write Markdown content to a file

writeLines(markdown_content, “example_documentation.md”)