MATLAB Implementation of Multiplicative Scatter Correction and Variable Standardization for Pre-modeling Data Processing

The MATLAB processing program for multiplicative scatter correction and variable standardization serves as a highly valuable tool for performing multiple data processing and correction operations on raw datasets. The program implements robust algorithms to identify outliers within the data and applies appropriate correction measures to handle them. Additionally, the program performs variable standardization through normalization techniques, transforming data into uniform specifications suitable for subsequent modeling and analysis workflows. The implementation includes data visualization functionalities that enable users to intuitively understand data distributions and characteristics, providing strong support for follow-up research. Key MATLAB functions utilized in this implementation may include robust statistical methods for outlier detection, z-score or min-max normalization for standardization, and plotting functions like scatter plots and histograms for data visualization. Overall, this program represents a powerful and user-friendly data processing software solution that delivers reliable assurance for data preprocessing and correction tasks before modeling operations.