R Integration

Nowadays, the free and open-source software R is the statistical programming language with one of the largest open-source knowledge communities. As this software and its packages are continuously under development, R became the standard software for which new statistical functionalities are implemented, especially in the field of Artificial Intelligence and Machine Learning.

By connecting Cornerstone with R, we enable access to R’s powerful state-of-the-art functionalities to pre-process, analyze and visualize data within the dynamic interactive and user-friendly Workmap structure of Cornerstone. Indeed, the power of R can be used to extend given Cornerstone functions. We therefore developed the free extension CornerstoneR which provides many flexible statistical functionalities that you can access quickly and easily from Cornerstone – without any programming knowledge in R. We herewith broaden your data analysis possibilities within your familiar Cornerstone environment.

The extension features many functionalities for statistical modeling and predicting: Gaussian Process Regression, Decision Trees, Random Forests, Logistic Regression and Function Fitting. The Model Predict function enables you to predict response values for unseen data. Version 3.2 includes K-Means Clustering, a common cluster analysis method for Unsupervised Learning. It also offers time series analysis methods such as Feature Extraction, Auto- and Cross-Correlation, and since 3.2, Moving Average Filter and Time Series Modeling, as well as a tool for Correlation Analysis. Moreover, CornerstoneR 3.2 offers Reliability Distribution Fitting for censored and uncensored data, functions for data pre-processing such as Reshaping, Transposing, and Missing Value Handling, the Mosaic Plot as a graphical tool, and many more! 

An overview of the CornerstoneR functions with detailed user guides can be found here

In addition, we offer you quick solutions for your data analysis problems, as your CornerstoneR team is continuously and fast developing the R interface and its extension. However, users with R knowledge can also write their own R script in Cornerstone or load their R scripts and packages into Cornerstone.

For the new version CornerstoneR 3.2, Cornerstone 8 and R 4.1 are required.


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