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README.Rmd
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---
output:
md_document:
variant: gfm
html_preview: false
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%",
message = FALSE,
warning = FALSE
)
```
```{r echo=FALSE, results="hide", message=FALSE}
library("badger")
```
# ggsector: Easily draw sectors with grid and ggplot2
<!-- badges: start -->
[](http://www.repostatus.org/#active)
[](https://cran.r-project.org/package=ggsector)
`r badge_devel("yanpd01/ggsector", "deepgreen")`
<!-- [](https://cran.r-project.org/package=ggsector) -->
<!-- []() -->
`r badger::badge_custom("Windows", "passing", "deepgreen")`
`r badger::badge_custom("Linux", "passing", "deepgreen")`
<!-- badges: end -->
```{r comment="", echo=FALSE, results='asis'}
cat(packageDescription("ggsector")$Description)
```
## :writing_hand: Authors
Pengdong Yan
## :arrow_double_down: Installation
Get the released version from Cran:
```{r, eval = FALSE}
install.packages("ggsector")
```
Or the development version from github or gitee:
```{r, eval = FALSE}
## install.packages("remotes")
## from github
# simple install
remotes::install_github("yanpd01/ggsector")
# with vignettes
remotes::install_github("yanpd01/ggsector", build_vignettes = TRUE)
## from gitee
# simple install
remotes::install_git("https://gitee.com/yanpd01/ggsector")
# with vignettes
remotes::install_git("https://gitee.com/yanpd01/ggsector", build_vignettes = TRUE)
```
## :books: Usage
For more details, please refer to the online
[vignette](https://cran.r-project.org/web/packages/ggsector/vignettes/ggsector.html).

## :sparkling_heart: Acknowledgments
The code of this R package refers to [jjplot](https://github.com/junjunlab/jjPlot) of [JunJunLao](https://github.com/junjunlab) and [ggplot2](https://github.com/tidyverse/ggplot2) of [Hadley](https://github.com/hadley).
The Description, vignette, and readme of this R package refer to [clusterProfiler](https://github.com/YuLab-SMU/clusterProfiler), [ggfun](https://github.com/YuLab-SMU/ggfun), and [treeio](https://github.com/YuLab-SMU/treeio) of [Guangchuang YU](https://github.com/YuLab-SMU/).
Here, I would like to express my highest respect to thank the big guys for their open source spirit.