R Observatory: Metrics for texter version 0.1.9

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

texter

0.1.9Package record

An Easy Text and Sentiment Analysis Library

0packages depend

2.4Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Simi KafaruCRAN page ↗GitHub ↗Issues ↗

Implement text and sentiment analysis with 'texter'. Generate sentiment scores on text data and also visualize sentiments. 'texter' allows you to quickly generate insights on your data. It includes support for lexicons such as 'NRC' and 'Bing'.

Install

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

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("simmieyungie/texter")

Development version from simmieyungie/texter. Installs pak first if it is not already available.

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-texter

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-texter

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-texter

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: 2.4 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.9

READMEYes · 238 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 13
Examples that run: 100%7 run in a plain check
Exported functions with examples: 78%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

2.4K

CRAN downloads in the past year

Rank #16,879 · ~7/day · ~198/mo

Releases R versions

Daily download trend is not available in this view yet.

27330 days

73790 days

2.4K1 year

Compare downloads with other packages →

Also on64 r2u6 autocran

How downloads are counted

Repository

simmieyungie/texter ↗Account: simmieyungie

2Stars

1Forks

0Open issues

0Open PRs

0Releases

59Commits

1Commit identities

59 commits · Last activity 2021-09-20 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2021-08-17 · 22026-07-07 · 2

How these are measured

PracticesBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/simmieyungie/texter on 2026-10-11.

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

Git structural (1)

.gitattributes

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

11 external dependencies (excludes base and recommended)

Installing texter adds 50 packages (26 with compiled code, 43 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, textdata 4.4 MB.

Depends (1)

R >= 2.14

Imports (10)

dplyr plyr ggplot2 magrittr stringr purrr stopwords textdata tidytext tidyr

LinkingTo (0)

none

Suggests (1)

testthat

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 (1)

Simi Kafaru

Author, Maintainer since 0.0.0.9 (2021)

Releases (2)

Pick two releases to compare their code metrics.

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
0.1.9Latest
record
2021-09-20 · current release · diff ↗ ·
added 1 export
top_bigrams
0.0.0.9
record
2021-08-17
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-08-17
Total releases: 2 / 5 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 2.14
Bundled data: 108 KB / 4 files
Download size: 116 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("texter")

Format

Kafaru, S. (2021). texter: An Easy Text and Sentiment Analysis Library (Version 0.1.9) [Computer software]. https://doi.org/10.32614/CRAN.package.texter

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 texter version 0.1.9 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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