visualize

Visualize probability distributions values

https://github.com/coatless-rpkg/visualize

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    1 of 2 committers (50.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (16.0%) to scientific vocabulary

Keywords

graph probability-distribution r
Last synced: 6 months ago · JSON representation

Repository

Visualize probability distributions values

Basic Info
Statistics
  • Stars: 4
  • Watchers: 2
  • Forks: 1
  • Open Issues: 3
  • Releases: 9
Topics
graph probability-distribution r
Created almost 9 years ago · Last pushed over 2 years ago
Metadata Files
Readme Changelog License

README.Rmd

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "50%"
)
```

# visualize


[![R-CMD-check](https://github.com/coatless-rpkg/visualize/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/coatless-rpkg/visualize/actions/workflows/R-CMD-check.yaml)
[![CRAN RStudio mirror downloads](https://cranlogs.r-pkg.org/badges/visualize)](https://www.r-pkg.org/pkg/visualize)
[![CRAN status](https://www.r-pkg.org/badges/version/visualize)](https://CRAN.R-project.org/package=visualize)


The goal of visualize is to graph the pdf or pmf and highlight what area or
probability is present in user defined locations. Visualize is able to provide
lower tail, bounded, upper tail, and two tail calculations. Supports strict and
equal to inequalities. Also provided on the graph is the mean and variance of
the distribution.

## Installation

You can install the released version of visualize from [CRAN](https://CRAN.R-project.org) with:

``` r
install.packages("visualize")
```

And the development version from [GitHub](https://github.com/) with:

``` r
# install.packages("devtools")
devtools::install_github("coatless/visualize")
```

## Examples

To use visualize, load the package with:

```{r}
library("visualize")
```

Then, construct a graph by following the `visualize.dist()` pattern. For example,
the normal distribution can be shown with: 

```{r visualize-normal}
# Graph a standard normal distribution with a z-score of 1.96
visualize.norm(1.96)
# Change the location of the tail
visualize.norm(1.96, section = "upper")
# Create a bounded range.
visualize.norm(c(-1.96, 1.96), section = "bounded")
# Highlight both tails
visualize.norm(c(-1.96, 1.96), section = "tails")
```

The parameters of the distribution can also be modified. Take for example the
Binomial distribution.

```{r visualize-binomial}
visualize.binom(stat = 9, size = 20, p = 0.5)
# Visualize the binominal distribution with a higher size and lower probability.
visualize.binom(stat = 9, size = 24, p = 0.25)
```

Discrete distributions can also handle a level of strict (`<`, `>`) or equal
to (`<=`, `>=`) inequality.


```{r discrete-inequalities}
# Create a strict inequality (lower < x < higher)
visualize.pois(stat = c(4, 6), lambda = 3.5, section = "bounded",
  strict = c(TRUE, TRUE))
# Allow for equality on either side only on the right side of the bounded region.
visualize.pois(stat = c(4, 6), lambda = 3.5, section = "bounded",
  strict = c(TRUE, FALSE))
# Allow for equality on either side of the inequality (lower <= x <= higher)
visualize.pois(stat = c(4, 6), lambda = 3.5, section = "bounded",
  strict = c(FALSE, FALSE))
```


## Author

James Joseph Balamuta

## Citing the `visualize` package

To ensure future development of the package, please cite `visualize`
package if used during an analysis or simulation study. Citation information
for the package may be acquired by using in *R*:

```{r, eval = FALSE}
citation("visualize")
```

## License

MIT License

Owner

  • Name: coatless-rpkg
  • Login: coatless-rpkg
  • Kind: organization

GitHub Events

Total
  • Issue comment event: 1
Last Year
  • Issue comment event: 1

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 19
  • Total Committers: 2
  • Avg Commits per committer: 9.5
  • Development Distribution Score (DDS): 0.105
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
James Joseph Balamuta b****2@i****u 17
James J Balamuta c****s 2
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 12
  • Total pull requests: 3
  • Average time to close issues: 10 months
  • Average time to close pull requests: about 1 hour
  • Total issue authors: 6
  • Total pull request authors: 1
  • Average comments per issue: 0.92
  • Average comments per pull request: 0.0
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 1.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • coatless (7)
  • jricoiii (1)
  • jcvall (1)
  • PeteArm (1)
  • louwerse (1)
  • lgawarec (1)
Pull Request Authors
  • coatless (3)
Top Labels
Issue Labels
enhancement (5) bug (1) help wanted (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 993 last-month
  • Total docker downloads: 42,860
  • Total dependent packages: 0
  • Total dependent repositories: 2
  • Total versions: 9
  • Total maintainers: 1
cran.r-project.org: visualize

Graph Probability Distributions with User Supplied Parameters and Statistics

  • Versions: 9
  • Dependent Packages: 0
  • Dependent Repositories: 2
  • Downloads: 993 Last month
  • Docker Downloads: 42,860
Rankings
Docker downloads count: 0.6%
Average: 18.4%
Downloads: 18.9%
Dependent repos count: 19.3%
Forks count: 21.1%
Stargazers count: 22.0%
Dependent packages count: 28.8%
Maintainers (1)
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.0.0 depends
.github/workflows/R-CMD-check.yaml actions
  • actions/checkout v3 composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/pkgdown.yaml actions
  • JamesIves/github-pages-deploy-action v4.4.1 composite
  • actions/checkout v3 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite