R Observatory: Metrics for RALSA version 1.7.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

RALSA

1.7.0

R Analyzer for Large-Scale Assessments

0packages depend

5.9Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Plamen V. MirazchiyskiCRAN page ↗Website ↗

Download, prepare and analyze data from large-scale assessments and surveys with complex sampling and assessment design (see 'Rutkowski', 2010 doi:10.3102/0013189X10363170). Such studies are, for example, international assessments like 'TIMSS', 'PIRLS' and 'PISA'. A graphical interface is available for the non-technical user.The package includes functions to covert the original data from 'SPSS' into 'R' data sets keeping the user-defined missing values, merge data from different respondents and/or countries, generate variable dictionaries, modify data, produce descriptive statistics (percentages, means, percentiles, benchmarks) and multivariate statistics (correlations, linear regression, binary logistic regression). The number of supported studies and analysis types increases with every next release. For a general presentation of the package, see 'Mirazchiyski', 2021a (doi:10.1186/s40536-021-00114-4). For detailed technical aspects of the package, see 'Mirazchiyski', 2021b (doi:10.3390/psych3020018).

Changes in 1.7.0

This version brings quantile regression as analysis type and introduces change of the support website domain.

New functionality

Quantile regression is added as analysis type for large-scale assessments and surveys data.

Miscellaneous

The RALSA support website now has a new location. It is part of the statr.dev domain.
Improved documentation.
Various improvements in the GUI workflow.

From NEWS.md in the release

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("RALSA", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-ralsa

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-RALSA

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-RALSA

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 5.7 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09

Show 4 earlier changesHide 4 earlier changes

ERROR12 OK, 1 ERROR2026-06-08
OK13 OK2026-05-11
WARNING12 OK, 1 WARNING2026-05-10
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.7.0

READMEYes · 50 wordsVignettesNoNEWSYes · 100% structured · mentions 1.7.0Citation fileNoWebsiteYes

Help pages: 19includes a package overview page
Examples that run: 0%16 never run
Exported functions with examples: 89%
Documented parameters: 100%
Return-value docs: 89%
Help pages citing references: 63%

How these are measured

Downloads

5.9K

CRAN downloads in the past year

Rank #6,305 · ~16/day · ~490/mo

Releases R versions

Daily download trend is not available in this view yet.

48130 days

1.3K90 days

5.9K1 year

Compare downloads with other packages →

Also on145 r2u10 autocran

How downloads are counted

Dependencies

Declared dependencies

19 external dependencies (excludes base and recommended)

Installing RALSA adds 92 packages (46 with compiled code, 74 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 4.0.0

Imports (20)

archive DT haven Hmisc data.table ggplot2 importmethodsopenxlsx rclipboard readr rstudioapi shiny shinyFiles shinydashboard shinyjs shinyWidgets stringi stringr quantreg

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Plamen V. Mirazchiyski

Author, Maintainer since 0.90.1 (2020)

Listed in earlier versions (1)

INERI

no longer listed · 0.90.1 to 1.6.5

Releases (22)

Pick two releases to compare their code metrics.

1.7.0Latest
record
2026-07-10 · current release · diff ↗ ·
added 1 export
lsa.quant.reg
R
R 4.6.0 released · 2026-04-24
1.6.6
record
2026-04-16 · diff ↗
1.6.5
record
2026-03-17 · diff ↗
1.6.2
record
2026-01-30 · diff ↗
1.6.0
record
2025-11-26 · diff ↗ ·
removed 1 export
lsa.convert.data2

added 2 exports
lsa.aggregate.vars, lsa.cut.vars
R
R 4.5.0 released · 2025-04-11
1.5.5
record
2025-02-24 · diff ↗ ·
added 1 export
lsa.download.data
1.5.0
record
2024-09-23 · diff ↗
1.4.7
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2024-07-25 · diff ↗
1.4.5
record
2024-04-26 · diff ↗
R
R 4.4.0 released · 2024-04-24
1.4.0
record
2024-02-02 · diff ↗ ·
added 1 export
lsa.convert.data2
1.3.7
record
2023-10-26 · diff ↗
1.3.5
record
2023-06-23 · diff ↗ ·
added 1 export
ralsaGUIfailsafe
R
R 4.3.0 released · 2023-04-21

Show 13 earlier eventsHide 13 earlier events

1.3.0
record
2022-07-08 · diff ↗
1.2.0
record
2022-05-04 · diff ↗
R
R 4.2.0 released · 2022-04-22
1.1.5
record
2022-03-30 · diff ↗ ·
added 1 export
lsa.select.countries.PISA
1.1.0
record
2022-02-04 · diff ↗ ·
added 1 export
lsa.crosstabs
1.0.2
record
2021-10-21 · diff ↗
1.0.1
record
2021-05-28 · diff ↗
R
R 4.1.0 released · 2021-05-18
1.0.0
record
2021-04-28 · diff ↗ ·
added 1 export
lsa.data.diag
0.90.3
record
2021-03-15 · diff ↗
0.90.2
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2021-02-02 · diff ↗
0.90.1
record
2020-11-10
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2020-11-10
Total releases: 22 / 6 yrs
License: GPL-2 OSI
Minimum R: ≥ 4.0.0
Download size: 436 KB

Appears in task views

Official Statistics & Survey Statistics

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RALSA")

Format

Mirazchiyski, P. V. (2026). RALSA: R Analyzer for Large-Scale Assessments (Version 1.7.0) [Computer software]. https://doi.org/10.32614/CRAN.package.RALSA

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for RALSA version 1.7.0 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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