Last updated: 2022-05-02
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See how different between Rfast and Rfast2, and base R function are.
library(microbenchmark)
# thin matrix
X = matrix(rnorm(1e6),1e4,1e2)
microbenchmark(Rfast::rowsums(X),rowSums(X))Unit: microseconds
expr min lq mean median uq max
Rfast::rowsums(X) 492.842 568.163 1016.973 657.9595 753.9355 33422.959
rowSums(X) 1731.701 1896.515 2103.327 2019.7810 2225.8935 4852.808
neval
100
100microbenchmark(Rfast::colsums(X),colSums(X))Unit: microseconds
expr min lq mean median uq max neval
Rfast::colsums(X) 621.982 642.4925 693.1849 656.4995 719.297 962.837 100
colSums(X) 909.520 940.0580 1020.4313 960.8975 1062.206 1365.265 100microbenchmark(Rfast::transpose(X),t(X))Unit: milliseconds
expr min lq mean median uq max
Rfast::transpose(X) 3.903620 4.302876 7.354548 5.047797 7.801298 100.16862
t(X) 2.368821 2.610434 4.316083 3.046993 6.351907 11.79906
neval
100
100X = t(X)
microbenchmark(Rfast::rowsums(X),rowSums(X))Unit: microseconds
expr min lq mean median uq max neval
Rfast::rowsums(X) 384.253 424.6235 553.113 465.911 608.867 1494.452 100
rowSums(X) 1628.366 1920.0070 2077.909 2003.157 2170.177 3040.794 100microbenchmark(Rfast::colsums(X),colSums(X))Unit: microseconds
expr min lq mean median uq max neval
Rfast::colsums(X) 521.016 529.2300 575.1950 542.8420 595.1970 1172.561 100
colSums(X) 628.372 640.8775 691.0892 654.9365 708.4335 1039.336 100# roo slow
#microbenchmark(Rfast::transpose(X),t(X))x <- matrnorm(100, 100)
y <- matrnorm(100, 100)
microbenchmark(Rfast::Tcrossprod(x,y),tcrossprod(x,y))
sessionInfo()R version 4.2.0 (2022-04-22)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Big Sur/Monterey 10.16
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRlapack.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] microbenchmark_1.4.9 workflowr_1.7.0
loaded via a namespace (and not attached):
[1] Rcpp_1.0.8.3 bslib_0.3.1 compiler_4.2.0 pillar_1.7.0
[5] later_1.3.0 git2r_0.30.1 jquerylib_0.1.4 tools_4.2.0
[9] getPass_0.2-2 digest_0.6.29 jsonlite_1.8.0 evaluate_0.15
[13] tibble_3.1.6 lifecycle_1.0.1 pkgconfig_2.0.3 rlang_1.0.2
[17] cli_3.3.0 rstudioapi_0.13 parallel_4.2.0 yaml_2.3.5
[21] xfun_0.30 fastmap_1.1.0 httr_1.4.2 stringr_1.4.0
[25] knitr_1.38 sass_0.4.1 fs_1.5.2 vctrs_0.4.1
[29] RcppZiggurat_0.1.6 Rfast_2.0.6 rprojroot_2.0.3 glue_1.6.2
[33] R6_2.5.1 processx_3.5.3 fansi_1.0.3 rmarkdown_2.13
[37] callr_3.7.0 magrittr_2.0.3 whisker_0.4 ps_1.7.0
[41] promises_1.2.0.1 htmltools_0.5.2 ellipsis_0.3.2 httpuv_1.6.5
[45] utf8_1.2.2 stringi_1.7.6 crayon_1.5.1