R Observatory: Metrics for LearningStats version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

LearningStats

0.1.0Package record

Elemental Descriptive and Inferential Statistics

0packages depend

9.7Kdownloads / year

–test coverage

0/13flavors OK

Overview

About

Maintained by María Isabel Borrajo-GarcíaCRAN page ↗

Provides tools to teach students elemental statistics. The main topics covered are descriptive statistics, probability models (discrete and continuous variables) and statistical inference (confidence intervals and hypothesis tests). One of the main advantages of this package is that allows the user to read quite a variety of types of data files with one unique command. Moreover it includes shortcuts to simple but up-to-now not in R descriptive features such a complete frequency table or an histogram with the optimal number of intervals. Related to model distributions (both discrete and continuous), the package allows the student to easy plot the mass/density function, distribution function and quantile function just detailing as input arguments the known population parameters. The inference related tools are basically confidence interval and hypothesis testing. Having defined independent commands for these two tools makes it easier for the student to understand what the software is performing, and it also helps the student to have a better knowledge on which specific tool they need to use in each situation. Moreover, the hypothesis testing commands provide not only the numeric result on the screen but also a very intuitive graph (which includes the statistic distribution, the observed value of the statistic, the rejection area and the p-value) that is very useful for the student to visualise the process. The regression section includes up to now, a simple linear model, with one single command the student can obtain the numeric summary as well as the corresponding diagram with the adjusted regression model and a legend with basic information (formula of the adjusted model and R-squared).

Install

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

install.packages("LearningStats", 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-learningstats

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-LearningStats

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-LearningStats

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

13NOTE

Check messages

NOTERd filesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64

checkRd: (-1) S2mu.Rd:18: Lost braces; missing escapes or markup?
    18 | \code{S2mu} computes a estimation of the variance, given a sample {x} with known population mean (denoted by \code{mu}).
       |                                                                   ^
checkRd: (-1) sample.quantile.Rd:20: Lost braces; missing escapes or markup?
    20 | \code{sample.quantile} computes a estimation of different quantiles, given a sample {x}, using order statistics.
       |                                                                                     ^

CRAN check page ↗

Slowest check: 1.6 min · r-oldrel-windows-x86_64

Status changes

NOTE13 NOTE2026-09-08
ERROR12 NOTE, 1 ERROR2026-09-07
NOTE13 NOTE2026-06-09
ERROR12 NOTE, 1 ERROR2026-06-08
NOTE14 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 42includes a package overview page
Examples that run: 100%41 run in a plain check
Exported functions with examples: 100%
Documented parameters: 96%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

9.7K

CRAN downloads in the past year

Rank #5,907 · ~27/day · ~809/mo

Releases R versions

Daily download trend is not available in this view yet.

61830 days

1.4K90 days

9.7K1 year

Compare downloads with other packages →

Also on65 r2u4 autocran

How downloads are counted

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Installing LearningStats adds 34 packages (20 with compiled code, 27 MB of source tarballs). Heaviest: stringi 11 MB, data.table 5.7 MB, readxl 2.1 MB.

Depends (1)

R >= 3.5.0

Imports (9)

statsgrDevicesgraphicsutilstoolsdata.table readxl haven readODS

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

Datasets

People & History

People (3)

María Isabel Borrajo-García

Author, Maintainer since 0.1.0 (2021)

Mercedes Conde-Amboage

Author

Alejandra López-Pérez

Author

Releases (1)

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.1.0Latest
record
2021-04-21 · current release
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2021-04-21
Total releases: 1 / 5 yrs
License: GPL-2 OSI
Minimum R: ≥ 3.5.0
Bundled data: 98 KB / 1 file
Download size: 171 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LearningStats")

Format

Borrajo-García, M. I., Conde-Amboage, M., & López-Pérez, A. (2021). LearningStats: Elemental Descriptive and Inferential Statistics (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.LearningStats

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 LearningStats version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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