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francojc committed Mar 10, 2024
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# qtkit
# Quantitative Text Kit (`qtkit`)

<!-- badges: start -->
[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)
[![CRAN status](https://www.r-pkg.org/badges/version/qtkit)](https://CRAN.R-project.org/package=qtkit)
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The goal of qtkit is to ...
The goal of `qtkit` is to provide a support package for the textbook ["An Introduction to Quantitative Text Analysis for Linguistics: Reproducible Research using R"](https://qtalr.github.io/book). It contains functions for collecting and manipulating data and datasets, documentation, and other assorted tasks associated with quantative text analysis in R.

## Installation
## Getting started

You can install the development version of qtkit like so:
You can install the released version of qtalrkit from [CRAN](https://CRAN.R-project.org) with:

``` r
# FILL THIS IN! HOW CAN PEOPLE INSTALL YOUR DEV PACKAGE?
```r
install.packages("qtkit")
```

## Example
The development version of `qtkit` is on [GitHub](https://github.com/) and can be installed with:

This is a basic example which shows you how to solve a common problem:

```{r example}
library(qtkit)
## basic example code
```r
install.packages("remotes")
remotes::install_github("qtalr/qtkit")
```

What is special about using `README.Rmd` instead of just `README.md`? You can include R chunks like so:

```{r cars}
summary(cars)
```
Then load the package with:

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)
```r
library(qtkit)
```

In that case, don't forget to commit and push the resulting figure files, so they display on GitHub and CRAN.
Please consult the [package documentation](https://qtalr.github.io/qtkit/reference) for more information.

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