Steven Sanderson does the math:
Data transformation is a fundamental technique in statistical analysis and data preprocessing. When working with R, understanding how to properly transform data can help meet statistical assumptions, normalize distributions, and improve the accuracy of your analyses. This comprehensive guide will walk you through implementing and visualizing the most common data transformations in R: logarithmic, square root, and cube root transformations, using only base R functions.
Click through for examples.