Z Score Scaling

Wrapper around base::scale() to make it compatible with the processData() framework. Additionally provides a MARGIN param.

$$\LARGE z_{i,j} = \frac{x_{i,j} - \mu_i}{\sigma_i}$$

Where:

• $x_{i,j}$ is the original value for feature $i$ in sample $j$

• $\mu_i$ is the mean of feature $i$ across all samples

• $\sigma_i$ is the standard deviation of feature $i$ across all samples

• $z_{i,j}$ is the resulting scaled value