README.Rmd

---
output: github_document
---

<!-- README.md is generated from README.Rmd. Please edit that file -->

```{r, include = FALSE}
library(badger)

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

# framecleaner

<!-- badges: start -->
[![R-CMD-check](https://github.com/Harrison4192/framecleaner/workflows/R-CMD-check/badge.svg)](https://github.com/Harrison4192/framecleaner/actions)
[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html)
[![CRAN status](https://www.r-pkg.org/badges/version/framecleaner)](https://CRAN.R-project.org/package=framecleaner)

`r badger::badge_cran_download("framecleaner", "grand-total", "blue")`
`r badger::badge_code_size("Harrison4192/framecleaner")`
`r badger::badge_last_commit("Harrison4192/framecleaner")`
<!-- badges: end -->

framecleaner provides a tidyverse-friendly interface for modifying data frames with a sequence of piped commands. These commands wrap [dplyr](https://dplyr.tidyverse.org/index.html) mutate statements in a convenient way to concisely solve common issues that arise when tidying small to medium data sets. It also includes smart defaults and allows selection of columns via [tidyselect](https://tidyselect.r-lib.org/reference/index.html). 

## Installation

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

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

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

``` r
# install.packages("devtools")
devtools::install_github("Harrison4192/framecleaner")
```