---
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%"
)
```
# zzinflationR
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[](https://www.tidyverse.org/lifecycle/#experimental)
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The goal of `zzinflationR` is to easily remove samples with zero inflation, from a collection of gene or transcript count tables. By defining a threshold value as percentage, the user can define the maximum tolerated zero inflation in a given sample, and get a collective data.table as output.
## Installation
You can install the released version of zzinflationR from [CRAN](https://CRAN.R-project.org) with:
``` r
install.packages("zzinflationR")
```
## Example
This is a basic example which shows you how to solve a common problem:
```{r example}
library(zzinflationR)
## 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.
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!
KasperThystrup/zzinflationR
A very small project (maybe future package) that aims to easily dispose of zero-inflation samples. Input data are gene (or Transcript) count tables, generated from RNA sequencing data.
RGPL-3.0