sum_square: Compute the Sum of Squares
In ryan-heslin/RegLesson: Linear Regression from Scratch
sum_square R Documentation
Compute the Sum of Squares
Description
Compute the Sum of Squares
Usage
sum_square(x, y = mean(x))
Arguments
x
Numeric vector
y
Numeric scalar vector of the same length as x. Defaults to
the mean of x.
Details
This function computes the sum of squared differences between x and y
Value
Sum of squares of the deviation vector.
ryan-heslin/RegLesson documentation built on Aug. 5, 2022, 9:03 p.m.
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| sum_square | R Documentation |
Compute the Sum of Squares
Description
Compute the Sum of Squares
Usage
sum_square(x, y = mean(x))
Arguments
x |
Numeric vector |
y |
Numeric scalar vector of the same length as |
Details
This function computes the sum of squared differences between x and y
Value
Sum of squares of the deviation vector.
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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