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kazaam  

Tools for Tall Distributed Matrices
View on CRAN: Click here


Download and install kazaam package within the R console
Install from CRAN:
install.packages("kazaam")

Install from Github:
library("remotes")
install_github("cran/kazaam")

Install by package version:
library("remotes")
install_version("kazaam", "0.1-0")



Attach the package and use:
library("kazaam")
Maintained by
Drew Schmidt
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-06-29
Latest Update: 2017-06-29
Description:
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'.
How to cite:
Drew Schmidt (2017). kazaam: Tools for Tall Distributed Matrices. R package version 0.1-0, https://cran.r-project.org/web/packages/kazaam. Accessed 20 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited kazaam R package
View kazaam citation profile
Other R packages that kazaam depends, imports, suggests or enhances
Complete documentation for kazaam
Functions, R codes and Examples using the kazaam R package
Some associated functions: arithmetic . bracket . cbind.shaq . col_ops . collapse . cov . crossprod . expand . getters . glms . is.shaq . kazaam-package . lm_coefs . matmult . norm . prcomp . print . qr . ranshaq . scale . setters . shaq-class . shaq . svd . 
Some associated R codes: Full kazaam package functions and examples
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