zscore_winsorized: Normalize a numeric vector to z-scores with the values...
In mjdufort/miscHelpers: Miscellaneous helper functions
View source: R/zscore_winsorized.R
zscore_winsorized R Documentation
Normalize a numeric vector to z-scores with the values winsorized (capped at a maximum absolute value)
Description
This function normalizes a numeric vector to z-scores (mean of 0 and standard
deviation of 1), with values beyond a specified threshold winsorized (capped
at a maximum absolute value). It ignores NA values in the calculation of
mean and standard deviation, but returns NAs in the output vector.
Usage
zscore_winsorized(x, threshold = 3)
Arguments
x
numeric vector to be normalized
threshold
the maximum absolute value to which the vector will be winsorized
mjdufort/miscHelpers documentation built on Feb. 4, 2024, 7:44 p.m.
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View source: R/zscore_winsorized.R
| zscore_winsorized | R Documentation |
Normalize a numeric vector to z-scores with the values winsorized (capped at a maximum absolute value)
Description
This function normalizes a numeric vector to z-scores (mean of 0 and standard deviation of 1), with values beyond a specified threshold winsorized (capped at a maximum absolute value). It ignores NA values in the calculation of mean and standard deviation, but returns NAs in the output vector.
Usage
zscore_winsorized(x, threshold = 3)
Arguments
x |
numeric vector to be normalized |
threshold |
the maximum absolute value to which the vector will be winsorized |
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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