> For the complete documentation index, see [llms.txt](https://laboratory-of-lipid-metabolism-a.gitbook.io/omics-data-visualization-in-r-and-python/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://laboratory-of-lipid-metabolism-a.gitbook.io/omics-data-visualization-in-r-and-python/data-transformation-scaling-and-normalization-in-r/data-transformation-and-scaling-using-different-available-r-packages.md).

# Data transformation and scaling using different available R packages

Here, we will show you basic data transformation (logarithmic transformation, square root transformation) and scaling (fitting data into a specific scale). We will rely mainly on the tidyverse and tidymodels collections but also create our scaling functions in R. 

Finally, the R package will be introduced, guiding you through the data transformation and supporting the decision-making process when it comes to transforming your data. Let's dive in!