dist_cent: Distance to Center
In stressor: Algorithms for Testing Models under Stress
dist_cent R Documentation
Distance to Center
Description
Calculates the distance from center of the matrix of predictor variables
using a euclidean distance, or the average of all x-dimensions.
Usage
dist_cent(formula, data)
Arguments
formula
A formula object.
data
A data.frame object.
Details
Formula used to calculate the center point:
\bar{x} = \frac{1}{N}\sum_{j = 1}^N x_{ij}
Where \bar{x} is a vector of the center of the x-dimensions,
N is the number of rows in the matrix, and x_{ij} is the
i,j^{th} entry in the matrix.
Value
A vector of distances from the center.
Examples
data <- data_gen_lm(10)
dist <- dist_cent(Y ~ ., data)
dist
stressor documentation built on May 29, 2024, 3:09 a.m.
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| dist_cent | R Documentation |
Distance to Center
Description
Calculates the distance from center of the matrix of predictor variables using a euclidean distance, or the average of all x-dimensions.
Usage
dist_cent(formula, data)
Arguments
formula |
A formula object. |
data |
A data.frame object. |
Details
Formula used to calculate the center point:
\bar{x} = \frac{1}{N}\sum_{j = 1}^N x_{ij}
Where \bar{x} is a vector of the center of the x-dimensions,
N is the number of rows in the matrix, and x_{ij} is the
i,j^{th} entry in the matrix.
Value
A vector of distances from the center.
Examples
data <- data_gen_lm(10)
dist <- dist_cent(Y ~ ., data)
dist
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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