View source: R/MinMaxScaling.R

MinMaxScaling | R Documentation |

Normalize / Standardize / Scale the data to the fixed range from 0 to 1. The minimum value of data gets transformed into 0. The maximum value gets transformed into 1. Other values get transformed into decimals between 0 and 1.

```
MinMaxScaling(x, y = x)
```

`x` |
A numeric vector to be scaled. |

`y` |
An optional numeric vector used to determine the scaling range.
If not provided, the scaling range is determined by the values in |

Min-max scaling is a normalization technique that transforms the values in a vector to a standardized range. The scaling is performed using the formula:

`scaled_x = \frac{x - \min(y)}{\max(y) - \min(y)}`

A numeric vector of the same length as `x`

,
with values scaled to the range from 0 to 1.

```
dat1 = seq(from = 5, to = 30, length.out = 6)
MinMaxScaling(dat1)
dat2 = c(7, 13, 22)
MinMaxScaling(x = dat2, y = dat1)
```

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