Optimized matrix operations, such as row/col sums.
library(rbenchmark)
library(mops)
m = 5000
n = 5000
x = matrix(rnorm(m*n), m, n)
cols <- cols <- c("test", "replications", "elapsed", "relative")
benchmark(a <- colSums(x), b <- col_sums(x), columns=cols)
## test replications elapsed relative
## 1 a <- colSums(x) 100 2.554 2.234
## 2 b <- col_sums(x) 100 1.143 1.000
all.equal(a, b)
## [1] TRUE
benchmark(a <- rowSums(x), b <- row_sums(x), columns=cols)
## test replications elapsed relative
## 1 a <- rowSums(x) 100 7.102 4.478
## 2 b <- row_sums(x) 100 1.586 1.000
all.equal(a, b)
## [1] TRUE