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* update version number and release date on Citation.CFF
* talkr is no longer just under development
* add badges
* add CRAN badge
* documentation badge in different color
* remove header
* Add Pablo to CITATION
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Co-authored-by: Pablo Rodríguez Sánchez <[email protected]>
`talkr` offers a set of convenience functions for quality control, visualisation and analysis of conversational data.
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It provides support for at least two common needs of people working with conversational corpora:
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(1) quality control by offering rapid insights into the nature, timing, and quality of time-aligned annotations in a conversational corpus; and
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(2) compelling visualisations by offering a range of plotting functions that play well with ggplot and the tidyverse.
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This package is under active development and still has some rough edges. Interact with us in the [issues](https://github.com/elpaco-escience/talkr/issues) if you have any questions or suggestions.
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## Overview
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{talkr} offers a set of convenience functions for quality control, visualisation and analysis of conversational data. It provides support for at least two common needs of people working with conversational corpora: (1) quality control by offering rapid insights into the nature, timing, and quality of time-aligned annotations in a conversational corpus; and (2) compelling visualisations by offering a range of plotting functions that play well with ggplot and the tidyverse.
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Note: {talkr} plays well with its companion python package [`scikit-talk`](https://github.com/elpaco-escience/scikit-talk), which is focused more on processing conversational data and readying it for downstream analysis.
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Note: `talkr` plays well with its companion python package [`scikit-talk`](https://github.com/elpaco-escience/scikit-talk), which is focused more on processing conversational data and readying it for downstream analysis.
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## Installation
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@@ -24,12 +25,24 @@ You can install the development version of `talkr` from GitHub with:
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