Transform Files to the 'microtable' Object with 'microeco'
Package
c(person("Chi", "Liu", role = c("aut", "cre"), email = "liuchi0426@126.com"))
Transform output files of some tools to the 'microtable' object of 'microtable' class in 'microeco' package. The 'microtable' class is the basic class in 'microeco' package and is necessary for the downstream microbial community data analysis.
R6, microeco, ape, magrittr, dplyr, tidyr, yaml, rhdf5, Matrix

Transform Files to 'microtable' Object with 'microeco' Package

microeco, ape, magrittr, dplyr, tidyr, yaml, rhdf5, Matrix

File-Backed Array for Out-of-Memory Computation
c(
person(
"Zhengjia", "Wang", role = c("aut", "cre", "cph"),
email = "dipterix.wang@gmail.com"
))
Stores large arrays in files to avoid occupying large
memories. Implemented with super fast gigabyte-level multi-threaded
reading/writing via 'OpenMP'. Supports multiple
non-character data types (double, integer, logical and raw).

Stores large arrays in files to avoid occupying large
memories. Implemented with super fast gigabyte-level multi-threaded
reading/writing via 'OpenMP'. Supports multiple non-character data
types (double, float, complex, integer, logical, and raw).

Wrapper for the Filebin File Sharing API
c(person(given = c("Andrew", "B."),
family = "Collier",
role = c("aut", "cre", "cph"),
email = "andrew@fathomdata.dev"))
A wrapper for the Filebin API. Filebin implements convenient file
sharing on the web.
dplyr, httr, janitor, logger, purrr, stringi, tibble, tidyr
reticulate, spelling, stevedore, testthat (>= 3.0.0), withr

filehash.R filehash-DB1.R filehash-DB.R filehash-RDS.R coerce.R dump.R zzz.R

filehash.R filehash-DB1.R filehash-RDS.R filehash-DB.R coerce.R dump.R zzz.R

filehash.R filehash-DB1.R filehash-RDS.R coerce.R dump.R zzz.R

filehash.R filehash-DB1.R filehash-RDS.R coerce.R dump.R hash.R queue.R stack.R zzz.R

filehash.R filehash-DB1.R filehash-RDS.R coerce.R dump.R
hash.R queue.R stack.R zzz.R

Implements a simple key-value style database where character string keys
are associated with data values that are stored on the disk. A simple interface is provided for inserting,
retrieving, and deleting data from the database. Utilities are provided that allow 'filehash' databases to be
treated much like environments and lists are already used in R. These utilities are provided to encourage
interactive and exploratory analysis on large datasets. Three different file formats for representing the
database are currently available and new formats can easily be incorporated by third parties for use in the
'filehash' framework.