Package: jmatrix 1.5.2

jmatrix: Read from/Write to Disk Matrices with any Data Type in a Binary Format

A mainly instrumental package meant to allow other packages whose core is written in 'C++' to read, write and manipulate matrices in a binary format so that the memory used for them is no more than strictly needed. Its functionality is already inside 'parallelpam' and 'scellpam', so if you have installed any of these, you do not need to install 'jmatrix'. Using just the needed memory is not always true with 'R' matrices or vectors, since by default they are of double type. Trials like the 'float' package have been done, but to use them you have to coerce a matrix already loaded in 'R' memory to a float matrix, and then you can delete it. The problem comes when your computer has not memory enough to hold the matrix in the first place, so you are forced to load it by chunks. This is the problem this package tries to address (with partial success, but this is a difficult problem since 'R' is not a strictly typed language, which is anyway quite hard to get in an interpreted language). This package allows the creation and manipulation of full, sparse and symmetric matrices of any standard data type.

Authors:Juan Domingo [aut, cre], Guillermo Ayala [ctb], Spanish Ministry of Science and Innovation, MCIN/AEI <doi:10.13039/501100011033> [fnd]

jmatrix_1.5.2.tar.gz
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jmatrix_1.5.2.tgz(r-4.4-x86_64)jmatrix_1.5.2.tgz(r-4.4-arm64)jmatrix_1.5.2.tgz(r-4.3-x86_64)jmatrix_1.5.2.tgz(r-4.3-arm64)
jmatrix_1.5.2.tar.gz(r-4.5-noble)jmatrix_1.5.2.tar.gz(r-4.4-noble)
jmatrix.pdf |jmatrix.html
jmatrix/json (API)
NEWS

# Install 'jmatrix' in R:
install.packages('jmatrix', repos = c('https://jdmde.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 2 scripts 208 downloads 17 exports 2 dependencies

Last updated 5 months agofrom:73adb823e4. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-win-x86_64OKNov 03 2024
R-4.5-linux-x86_64OKNov 03 2024
R-4.4-win-x86_64OKNov 03 2024
R-4.4-mac-x86_64OKNov 03 2024
R-4.4-mac-aarch64OKNov 03 2024
R-4.3-win-x86_64OKNov 03 2024
R-4.3-mac-x86_64OKNov 03 2024
R-4.3-mac-aarch64OKNov 03 2024

Exports:CsvToJMatFilterJMatByNameGetJColGetJColByNameGetJColNamesGetJManyColsGetJManyColsByNamesGetJManyRowsGetJManyRowsByNamesGetJNamesGetJRowGetJRowByNameGetJRowNamesJMatInfoJMatrixSetDebugJMatToCsvJWriteBin

Dependencies:memuseRcpp

jmatrix

Rendered fromjmatrix.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2023-10-08
Started: 2022-11-01

Readme and manuals

Help Manual

Help pageTopics
CsvToJMatCsvToJMat
FilterJMatByNameFilterJMatByName
GetJColGetJCol
GetJColByNameGetJColByName
GetJColNamesGetJColNames
GetJManyColsGetJManyCols
GetJManyColsByNamesGetJManyColsByNames
GetJManyRowsGetJManyRows
GetJManyRowsByNamesGetJManyRowsByNames
GetJNamesGetJNames
GetJRowGetJRow
GetJRowByNameGetJRowByName
GetJRowNamesGetJRowNames
JMatInfoJMatInfo
JMatrixSetDebugJMatrixSetDebug
JMatToCsvJMatToCsv
JWriteBinJWriteBin