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lazyarray  

Persistent Large Data Array with Lazy-Loading on Demand
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("lazyarray", "1.1.0")



Attach the package and use:
library("lazyarray")
Maintained by
Zhengjia Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-24
Latest Update: 2020-07-18
Description:
Multi-threaded serialization of compressed array that fully utilizes modern solid state drives. It allows to store and load extremely large data on demand within seconds without occupying too much memories. With data stored on hard drive, a lazy-array data can be loaded, shared across multiple R sessions. For arrays with partition mode on, multiple R sessions can write to a same array simultaneously along the last dimension (partition). The internal storage format is provided by 'fstcore' package geared by 'LZ4' and 'ZSTD' compressors.
How to cite:
Zhengjia Wang (2020). lazyarray: Persistent Large Data Array with Lazy-Loading on Demand. R package version 1.1.0, https://cran.r-project.org/web/packages/lazyarray. Accessed 07 Mar. 2026.
Previous versions and publish date:
1.0.0 (2020-06-24 10:40), 1.1.0 (2020-07-18 08:10)
Other packages that cited lazyarray R package
View lazyarray citation profile
Other R packages that lazyarray depends, imports, suggests or enhances
Complete documentation for lazyarray
Functions, R codes and Examples using the lazyarray R package
Some associated functions: ClassLazyArray . auto_clear_lazyarray . create_lazyarray . lazyarray . load_lazyarray . set_lazy_threads . 
Some associated R codes: RcppExports.R . aaa.R . class-lazyarray.R . common.R . create_array.R . lazyarray.R . s3-lazyarray.R . utils.R . zzz.R .  Full lazyarray package functions and examples
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