log
simply takes the logarithm (base e
, by default) of each element of the vector.scale
, with default settings, will calculate the mean and standard deviation of the entire vector, then “scale” each element by those values by subtracting the mean and dividing by the sd. (If you use scale(x, scale=FALSE)
, it will only subtract the mean but not divide by the std deviation.)
Note that this will give you the same values
set.seed(1) x <- runif(7) # Manually scaling (x - mean(x)) / sd(x) scale(x)
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