Scaling a numeric matrix in R with values 0 to 1

scales package has a function called rescale:

set.seed(2020)

x <- runif(5, 100, 150)
scales::rescale(x)
#1.0000000 0.5053362 0.9443995 0.6671695 0.0000000

And if you were still to use scale:

maxs <- apply(a, 2, max)
mins <- apply(a, 2, min)
scale(a, center = mins, scale = maxs - mins)

Try the following, which seems simple enough:

## Data to make a minimal reproducible example
m <- matrix(rnorm(9), ncol=3)

## Rescale each column to range between 0 and 1
apply(m, MARGIN = 2, FUN = function(X) (X - min(X))/diff(range(X)))
#           [,1]      [,2]      [,3]
# [1,] 0.0000000 0.0000000 0.5220198
# [2,] 0.6239273 1.0000000 0.0000000
# [3,] 1.0000000 0.9253893 1.0000000

Install the clusterSim package and run the following command:

normX = data.Normalization(x,type="n4");