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README.Rmd
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---
output: github_document
---
<!-- 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%"
)
```
# SciDataReportR <img src="man/figures/logo.png" align="right" height="88" alt="" />
<!-- badges: start -->
SciDataReportR combines custom wrappers and new functions to streamline scientific data reporting in a reproducible manner. The goal is to allow for easy EDA and data analysis with many combinations of variables to allow for both hypothesis generation and hypothesis-driven analysis.
## Installation
You can install the development version of SciDataReportR from [GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("RDastgh1/SciDataReportR")
```
<!-- ## Example -->
<!-- This is a basic example which shows you how to solve a common problem: -->
<!-- ```{r example} -->
<!-- library(SciDataReportR) -->
<!-- ## basic example code -->
<!-- ``` -->
<!-- What is special about using `README.Rmd` instead of just `README.md`? You can include R chunks like so: -->
<!-- ```{r cars} -->
<!-- summary(cars) -->
<!-- ``` -->
<!-- You'll still need to render `README.Rmd` regularly, to keep `README.md` up-to-date. `devtools::build_readme()` is handy for this. -->
<!-- You can also embed plots, for example: -->
<!-- ```{r pressure, echo = FALSE} -->
<!-- plot(pressure) -->
<!-- ``` -->
<!-- In that case, don't forget to commit and push the resulting figure files, so they display on GitHub and CRAN. -->