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Cut off outer quantiles and rescale to a [0, 1] range
scale_quantile(x, outlier_cutoff = 0.05)
The centered, scaled matrix or vector. The numeric centering and scalings used are returned as attributes.
A numeric vector, matrix or data frame.
The quantile cutoff for outliers (default 0.05).
## Generate a matrix from a normal distribution
## with a large standard deviation, centered at c(5, 5)
x <- matrix(rnorm(200*2, sd = 10, mean = 5), ncol = 2)
## Scale the dataset between [0,1]
x_scaled <- scale_quantile(x)
## Plot rescaled data
plot(x_scaled)
## Show ranges of each column
apply(x_scaled, 2, range)
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