min_max_normalization: Min-Max Normalization Function
In CHuanSite/SJD: Structured Joint Decomposition (SJD)
View source: R/normalizeData.R
min_max_normalization R Documentation
Min-Max Normalization Function
Description
This function performs min-max normalization on a vector.
Usage
min_max_normalization(x)
Arguments
x
A numeric vector to be normalized.
Value
A normalized version of the input vector with values scaled between 0 and 1.
Examples
list_score = matrix(runif(5000, 1, 2), nrow = 100, ncol = 50)
CHuanSite/SJD documentation built on Nov. 29, 2024, 5:52 a.m.
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View source: R/normalizeData.R
| min_max_normalization | R Documentation |
Min-Max Normalization Function
Description
This function performs min-max normalization on a vector.
Usage
min_max_normalization(x)
Arguments
x |
A numeric vector to be normalized. |
Value
A normalized version of the input vector with values scaled between 0 and 1.
Examples
list_score = matrix(runif(5000, 1, 2), nrow = 100, ncol = 50)
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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