standardize: Standardize a numeric vector
In cNORM: Continuous Norming
standardize R Documentation
Standardize a numeric vector
Description
This function standardizes a numeric vector by subtracting the mean
and dividing by the standard deviation. The resulting vector will have
a mean of 0 and a standard deviation of 1.
Usage
standardize(x)
Arguments
x
A numeric vector to be standardized.
Value
A numeric vector of the same length as x, containing the standardized values.
Examples
data <- c(1, 2, 3, 4, 5)
standardized_data <- standardize(data)
print(standardized_data)
cNORM documentation built on Nov. 4, 2024, 5:07 p.m.
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| standardize | R Documentation |
Standardize a numeric vector
Description
This function standardizes a numeric vector by subtracting the mean and dividing by the standard deviation. The resulting vector will have a mean of 0 and a standard deviation of 1.
Usage
standardize(x)
Arguments
x |
A numeric vector to be standardized. |
Value
A numeric vector of the same length as x, containing the standardized values.
Examples
data <- c(1, 2, 3, 4, 5)
standardized_data <- standardize(data)
print(standardized_data)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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