Introduction | Background and Motivation | Creating a shaq | Matrix Computing and Statistics | References
Package: kazaam 0.1-0
kazaam: Tools for Tall Distributed Matrices
Many data science problems reduce to operations on very tall, skinny matrices. However, sometimes these matrices can be so tall that they are difficult to work with, or do not even fit into main memory. One strategy to deal with such objects is to distribute their rows across several processors. To this end, we offer an 'S4' class for tall, skinny, distributed matrices, called the 'shaq'. We also provide many useful numerical methods and statistics operations for operating on these distributed objects. The naming is a bit "tongue-in-cheek", with the class a play on the fact that 'Shaquille' 'ONeal' ('Shaq') is very tall, and he starred in the film 'Kazaam'.
Authors:
kazaam_0.1-0.tar.gz
kazaam_0.1-0.tar.gz(r-4.7-arm64)kazaam_0.1-0.tar.gz(r-4.7-x86_64)kazaam_0.1-0.tar.gz(r-4.6-arm64)kazaam_0.1-0.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
kazaam/json (API)
| # Install 'kazaam' in R: |
| install.packages('kazaam', repos = c('https://wrathematics.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:4371c4c509. Checks:5 OK, 8 FAIL. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 150 | ||
| linux-devel-x86_64 | OK | 144 | ||
| source / vignettes | OK | 232 | ||
| linux-release-arm64 | OK | 143 | ||
| linux-release-x86_64 | OK | 183 | ||
| macos-release-arm64 | FAIL | 74 | ||
| macos-release-x86_64 | FAIL | 160 | ||
| macos-oldrel-arm64 | FAIL | 97 | ||
| macos-oldrel-x86_64 | FAIL | 201 | ||
| windows-devel | FAIL | 58 | ||
| windows-release | FAIL | 113 | ||
| windows-oldrel | FAIL | 54 | ||
| wasm-release | FAIL | 110 |
Exports:collapsecolMeanscolSumscorcovDataData<-DATA<-expandis.shaqlm_coefslogistic.fitncolNCOLncol.localnormnrowNROWnrow.localpoisson.fitprintqr_Qqr_Rranshaqreg.fitscaleshaqshowsvd
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Tall Matrices | kazaam-package |
| Arithmetic Operators | *,numeric,shaq-method *,shaq,numeric-method *,shaq,shaq-method +,numeric,shaq-method +,shaq,numeric-method +,shaq,shaq-method -,numeric,shaq-method -,shaq,numeric-method -,shaq,shaq-method /,numeric,shaq-method /,shaq,numeric-method /,shaq,shaq-method arithmetic |
| subsetting | bracket [,shaq-method [<-,shaq-method |
| cbind | cbind.shaq |
| Column Operations | colMeans,shaq-method colSums,shaq-method col_ops |
| collapse | collapse |
| Covariance and Correlation | cor,shaq-method cov cov,shaq-method |
| Matrix Multiplication | crossprod crossprod,shaq-method |
| expand | expand |
| getters | Data Data,shaq-method getters length,shaq-method NCOL,shaq-method ncol,shaq-method ncol.local ncol.local,shaq-method NROW,shaq-method nrow,shaq-method nrow.local nrow.local,shaq-method |
| Generalized Linear Model Fitters | glms logistic.fit poisson.fit reg.fit |
| is.shaq | is.shaq |
| Linear Model Coefficients | lm_coefs |
| Matrix Multiplication | %*%,shaq,matrix-method matmult |
| norm | norm norm,shaq,ANY-method |
| Principal Components Analysis | prcomp prcomp.shaq |
| print print,shaq-method show,shaq-method | |
| QR Decomposition Methods | qr qr_Q qr_R |
| ranshaq | ranshaq |
| Scale | scale scale,shaq,logical,logical-method |
| setters | DATA<- Data<- DATA<-,shaq-method Data<-,shaq-method setters |
| shaq | shaq shaq.matrix shaq.numeric |
| Class shaq | shaq-class |
| svd | svd svd,shaq-method |
