Description Usage Arguments Value Examples
minmax_scaling
normalizes a given vector using the the min-max
scaling method. More formally:
scaled = \frac{data -x_{min}}{x_{max} - x_{min}} \times (f_{max} - f_{min}) + f_{min}
1 | minmax_scaling(data, xmin = NULL, xmax = NULL, fmin = 0, fmax = 1)
|
data |
Vector with numeric data to be scaled. |
xmin |
Optional minimum value, otherwise |
xmax |
Optional maximum value, otherwise |
fmin |
Optional minimum range value, default is 0. |
fmax |
Optional maximum range value, default is 1. |
The scaled data in the given range, default is between (0, 1). If
xmin = xmax the input vector data
is returned.
1 2 | data <- c(-20, 0, 15, 20)
scaled <- minmax_scaling(data)
|
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