Science Score: 36.0%
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
Found codemeta.json file -
○.zenodo.json file
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✓DOI references
Found 2 DOI reference(s) in README -
○Academic publication links
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✓Committers with academic emails
1 of 5 committers (20.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (17.7%) to scientific vocabulary
Keywords
color-palette
rstats
visualization
Last synced: 10 months ago
·
JSON representation
Repository
Palettes for R based on the Scientific Colour-Maps
Basic Info
- Host: GitHub
- Owner: thomasp85
- License: other
- Language: R
- Default Branch: main
- Size: 2.19 MB
Statistics
- Stars: 454
- Watchers: 7
- Forks: 24
- Open Issues: 4
- Releases: 5
Topics
color-palette
rstats
visualization
Created about 8 years ago
· Last pushed over 2 years ago
Metadata Files
Readme
License
README.Rmd
---
output: github_document
---
```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-"
)
```
# scico
[](https://github.com/thomasp85/scico/actions/workflows/R-CMD-check.yaml)
[](https://CRAN.R-project.org/package=scico)
[](https://app.codecov.io/gh/thomasp85/scico?branch=main)
This is a small package to provide access to the colour palettes developed by
Fabio Crameri and published at . It
uses more or less the same api as
[`viridis`](https://github.com/sjmgarnier/viridis) and provides scales for
[`ggplot2`](https://github.com/tidyverse/ggplot2) without requiring `ggplot2` to
be installed.
## Installation
`scico` can be installed from CRAN with `install.packages('scico')`. If you want
the development version then install directly from GitHub:
```{r, eval=FALSE}
# install.packages("devtools")
devtools::install_github("thomasp85/scico")
```
## Palettes
`scico` provides 39 different palettes, all of which are perceptually uniform
and colourblind safe. An overview can be had with the `scico_palette_show()`
function:
```{r}
library(scico)
scico_palette_show()
```
Once you've decided on a palette you can generate colour values using the
`scico()` function:
```{r}
scico(30, palette = 'lapaz')
```
## ggplot2 support
`scico` provides relevant scales for use with `ggplot2`. It only suggests
`ggplot2` in order to stay lightweight, but if `ggplot2` is available you'll
have access to the `scale_[colour|fill]_scico()` functions:
```{r, message=FALSE}
library(ggplot2)
volcano <- data.frame(
x = rep(seq_len(ncol(volcano)), each = nrow(volcano)),
y = rep(seq_len(nrow(volcano)), ncol(volcano)),
height = as.vector(volcano)
)
ggplot(volcano, aes(x = x, y = y, fill = height)) +
geom_raster() +
scale_fill_scico(palette = 'davos')
```
## References
- Crameri, Fabio. (2018, May 8). *Scientific colour maps (Version 3.0.1)*. Zenodo. doi: 10.5281/zenodo.1243909
- Crameri, Fabio. (2018). *Geodynamic diagnostics, scientific visualisation and StagLab 3.0*. Geosci. Model Dev. Discuss. doi: 10.5194/gmd-2017-328
Owner
- Name: Thomas Lin Pedersen
- Login: thomasp85
- Kind: user
- Location: Copenhagen
- Company: @posit-pbc, part of @tidyverse team
- Website: www.data-imaginist.com
- Twitter: thomasp85
- Repositories: 121
- Profile: https://github.com/thomasp85
Maker of tools focusing on data science and data visualisation
GitHub Events
Total
- Watch event: 44
- Issue comment event: 1
Last Year
- Watch event: 44
- Issue comment event: 1
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Thomas Lin Pedersen | t****5@g****m | 40 |
| Thomas Lin Pedersen | w****6@z****l | 3 |
| Michael Grund | 2****d | 2 |
| Michael Clark | m****l@u****u | 1 |
| Fernando Campos | c****a@g****m | 1 |
Committer Domains (Top 20 + Academic)
umich.edu: 1
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 14
- Total pull requests: 8
- Average time to close issues: 7 months
- Average time to close pull requests: 4 months
- Total issue authors: 10
- Total pull request authors: 6
- Average comments per issue: 1.29
- Average comments per pull request: 1.25
- Merged pull requests: 4
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- andrewheiss (2)
- nlubock (2)
- thomasp85 (2)
- jens-daniel-mueller (2)
- dyl4nm4rsh4ll (1)
- modche (1)
- ptompalski (1)
- LDalby (1)
- wiw4002 (1)
- hinojojojo (1)
Pull Request Authors
- michaelgrund (3)
- m-clark (1)
- julou (1)
- EmilHvitfeldt (1)
- camposfa (1)
- jmlondon (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 3
-
Total downloads:
- cran 4,299 last-month
- Total docker downloads: 2,103
-
Total dependent packages: 6
(may contain duplicates) -
Total dependent repositories: 57
(may contain duplicates) - Total versions: 17
- Total maintainers: 1
proxy.golang.org: github.com/thomasp85/scico
- Documentation: https://pkg.go.dev/github.com/thomasp85/scico#section-documentation
- License: other
-
Latest release: v1.5.0
published almost 3 years ago
Rankings
Dependent packages count: 6.5%
Average: 6.7%
Dependent repos count: 6.9%
Last synced:
10 months ago
cran.r-project.org: scico
Colour Palettes Based on the Scientific Colour-Maps
- Homepage: https://github.com/thomasp85/scico
- Documentation: http://cran.r-project.org/web/packages/scico/scico.pdf
- License: MIT + file LICENSE
-
Latest release: 1.5.0
published almost 3 years ago
Rankings
Stargazers count: 0.9%
Dependent repos count: 3.2%
Forks count: 3.6%
Downloads: 6.5%
Dependent packages count: 8.2%
Average: 8.3%
Docker downloads count: 27.4%
Maintainers (1)
Last synced:
10 months ago
conda-forge.org: r-scico
- Homepage: https://github.com/thomasp85/scico
- License: MIT
-
Latest release: 1.3.1
published almost 4 years ago
Rankings
Stargazers count: 19.7%
Dependent packages count: 28.8%
Average: 29.7%
Dependent repos count: 34.0%
Forks count: 36.1%
Last synced:
10 months ago
Dependencies
DESCRIPTION
cran
- R >= 2.10 depends
- grDevices * imports
- scales * imports
- covr * suggests
- dplyr * suggests
- ggplot2 * suggests
- testthat * suggests