sumsquared: Fast Calculation of Sum-squared for Large Matrices/Vectors
In dipsaus: A Dipping Sauce for Data Analysis and Visualizations
sumsquared R Documentation
Fast Calculation of Sum-squared for Large Matrices/Vectors
Description
Calculate sum(x^2), but faster when the number of
elements exceeds 1000.
Arguments
x
double, integer, or logical vector/matrix
Value
A numerical scalar
Examples
x <- rnorm(10000)
sumsquared(x)
# Compare speed
microbenchmark::microbenchmark(
cpp = {sumsquared(x)},
r = {sum(x^2)}
)
dipsaus documentation built on June 27, 2024, 5:10 p.m.
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| sumsquared | R Documentation |
Fast Calculation of Sum-squared for Large Matrices/Vectors
Description
Calculate sum(x^2), but faster when the number of
elements exceeds 1000.
Arguments
x |
double, integer, or logical vector/matrix |
Value
A numerical scalar
Examples
x <- rnorm(10000)
sumsquared(x)
# Compare speed
microbenchmark::microbenchmark(
cpp = {sumsquared(x)},
r = {sum(x^2)}
)
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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