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qbinplots

Quantile Binned Plots

https://github.com/edwindj/qbinplots

Science Score: 13.0%

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
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (12.5%) to scientific vocabulary

Keywords

ggplot2 quantiles r
Last synced: 7 months ago · JSON representation

Repository

Quantile Binned Plots

Basic Info
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 0
  • Open Issues: 7
  • Releases: 0
Topics
ggplot2 quantiles r
Created over 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme License

README.Rmd 

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# qbinplots



[![CRAN status](https://www.r-pkg.org/badges/version/qbinplots)](https://CRAN.R-project.org/package=qbinplots) [![R-CMD-check](https://github.com/edwindj/qbinplots/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/edwindj/qbinplots/actions/workflows/R-CMD-check.yaml)
[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)




This package creates plots using quantile binning.
Quantile binning is an exploratory data analysis tool that helps to see
the distribution of the variables in a dataset as a function of the variable
that is binned.


## Installation

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

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


You can install the development version of `qbinplots` from [GitHub](https://github.com/) with:

``` r
remotes::install_github("edwindj/qbinplots")
```

## Example

```{r example}
library(qbinplots)
## basic example code
```

A quantile binning boxplot

```{r percentile_iris}
qbin_boxplot(iris, "Sepal.Length", n = 12)
```

vs

A quantile binning barplot

```{r}
qbin_barplot(iris, "Sepal.Length", n = 12)
```

```{r}
table_plot(iris, "Sepal.Length", n=12)
```

vs 

A quantile binning heatmap

```{r}
qbin_heatmap(iris, "Sepal.Length", n=12, auto_fill = TRUE)
```

```{r}
cond_boxplot(iris, "Sepal.Length", n=12, auto_fill = TRUE)
```
```{r}
cond_barplot(iris, "Sepal.Length", n=12, auto_fill = TRUE)
```


```{r}
funq_plot(iris, "Sepal.Length", 12, auto_fill = TRUE)
```

```{r}
funq_plot(iris, "Sepal.Length", overlap = TRUE, min_bin_size = 20)
```


Choosing "Petal.Width"

```{r}
funq_plot(iris, "Petal.Width", n=12)
```

```{r qbin_boxplot_penquins}
library(palmerpenguins)
qbin_lineplot(penguins[1:7], x="body_mass_g", n = 19, ncols = 4)
```


Or the well-known `diamonds` dataset

```{r}
data("diamonds", package = "ggplot2")
diam <- diamonds |> 
  subset(
    select = c(carat, price, cut, color, clarity)
  )
table_plot(diam, "carat")
```

```{r}
qbin_boxplot(diam, "carat")
```

```{r}
funq_plot(diam, "carat")
```

We can zoom in on the `carat` variable, because the upper quantile bins are not very informative.
```{r}
funq_plot(
  diam, 
  "carat", 
  auto_fill = TRUE,
  xlim = c(0, 2.5)
)
```

```{r}
qbin_heatmap(
  iris,
  x = "Sepal.Length",
  n = 12,
  type="s"
)
```

```{r}
qbin_heatmap(
  iris,
  x = "Sepal.Length",
  overlap = TRUE
)
```

Owner

  • Name: Edwin de Jonge
  • Login: edwindj
  • Kind: user
  • Location: @edwindjonge
  • Company: Statistics Netherlands (CBS)

ORCID: 0000-0002-6580-4718

GitHub Events

Total
  • Issues event: 13
  • Watch event: 3
  • Issue comment event: 3
  • Push event: 60
  • Create event: 1
Last Year
  • Issues event: 13
  • Watch event: 3
  • Issue comment event: 3
  • Push event: 60
  • Create event: 1

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 12
  • Total pull requests: 0
  • Average time to close issues: about 1 month
  • Average time to close pull requests: N/A
  • Total issue authors: 2
  • Total pull request authors: 0
  • Average comments per issue: 0.67
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 12
  • Pull requests: 0
  • Average time to close issues: about 1 month
  • Average time to close pull requests: N/A
  • Issue authors: 2
  • Pull request authors: 0
  • Average comments per issue: 0.67
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • edwindj (7)
  • mtennekes (4)
Pull Request Authors
Top Labels
Issue Labels
enhancement (3) bug (1) question (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 201 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
cran.r-project.org: qbinplots

Quantile Binned Plots

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 201 Last month
Rankings
Dependent packages count: 27.2%
Dependent repos count: 33.4%
Average: 49.2%
Downloads: 87.1%
Maintainers (1)
edwindjonge@gmail.com
Last synced: 8 months ago

Dependencies

.github/workflows/R-CMD-check.yaml actions
  • actions/checkout v4 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 v4.5.0 composite
  • actions/checkout v4 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
DESCRIPTION cran
  • ggplot2 * depends
  • data.table * imports
  • patchwork * imports
  • scales * imports
  • palmerpenguins * suggests
  • tinytest * suggests