tidySummaries
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (11.9%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: kleanthisk10
- License: other
- Language: R
- Default Branch: main
- Size: 5.21 MB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
tidySummaries 
Tidy statistical summaries made simple
tidySummaries provides a modern and extensible set of functions for
descriptive statistics, frequency analysis, and significance testing —
all with tidy output.
It’s ideal for both numeric and categorical exploratory data analysis, supporting group comparisons, normality checks, console coloring, and more.
Features
Tidy descriptive statistics
summarise_statistics()computes mean, median, standard deviation, variance, skewness, kurtosis, IQR, MAD, and CV in a single tidy tibble.Frequency tables
summarise_frequency()summarizes categorical variables with frequency counts, proportions, or percentages.Normality and group significance testing
Automatically perform Shapiro-Wilk tests for normality, plus t-tests, Wilcoxon tests, ANOVA, or Kruskal-Wallis tests for group comparisons.Grouped summaries
summarise_group_stats()groups data by one or more variables and summarizes selected numeric columns flexibly.Correlation analysis
summarise_correlation()computes pairwise correlations (Pearson, Spearman, Kendall) and highlights significant results.Boxplot statistics with outlier detection
summarise_boxplot_stats()returns min, Q1, median, Q3, max, range, IQR, and detected outliers for numeric data.Colored console output for significance
Statistically significant results are automatically highlighted in red for easy identification.Support for vectors, matrices, and data frames
Functions handle vectors, matrices, tibbles, and grouped data frames smoothly.Tidyverse-friendly design Pipeable and fully compatible with tidyverse workflows. All outputs are clean tibbles ready for further analysis or visualization.
Installation
You can install the development version from GitHub:
```r # install.packages(“devtools”) devtools::install_github(“kleanthisk10/tidySummaries”)
Owner
- Name: Kleanthis
- Login: kleanthisk10
- Kind: user
- Location: Thessaloniki
- Company: Pfizer, Inc.
- Repositories: 1
- Profile: https://github.com/kleanthisk10
GitHub Events
Total
- Watch event: 1
- Member event: 1
- Push event: 5
- Pull request event: 1
- Fork event: 1
- Create event: 2
Last Year
- Watch event: 1
- Member event: 1
- Push event: 5
- Pull request event: 1
- Fork event: 1
- Create event: 2
Packages
- Total packages: 1
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Total downloads:
- cran 420 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 1
- Total maintainers: 1
cran.r-project.org: tidySummaries
Tidy Statistical Summaries for Exploratory Data Analysis
- Homepage: https://github.com/kleanthisk10/tidySummaries
- Documentation: http://cran.r-project.org/web/packages/tidySummaries/tidySummaries.pdf
- License: MIT + file LICENSE
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Latest release: 0.1.0
published about 1 year ago