center_scale: Centering and scaling vectors or matrices
In kimsche/MetaboMate: All you need for NMR-based metabolic profiling with R!

Centering and scaling vectors or matrices

1 2	center_scale(X, idc = "all", center = T, scale = c("None", "UV", "Pareto"))

`X`	Data to be scaled, can be a vector or a matrix with observations in rows variables in columns.
`idc`	Indices of samples in X used to derive center/scale parameters (relevant for statistical validation procedures, e.g., scaling X with training set samples). If set to `all`, no selection is performed.
`center`	Logical indicating if data should be mean centered.
`scale`	Scaling method that should be applied: none, unit variance (UV) or pareto scaling.