unccard / shiny-woRdcomplex-2.1

Shiny app for woRdcomplex version 2.1
GNU General Public License v3.0
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Make it pretty! #9

Open lindsay-greene opened 3 years ago

lindsay-greene commented 3 years ago
rbcavanaugh commented 3 years ago
jaxtastic commented 2 years ago

We will want to add some documentation to the shiny app so that users know where the numbers come from. I am adding the info here so it will be easy to find when we add it.

Word Complexity Measure (WCM) is calculated as described in Stoel-Gammon (2010), based on lookup from a database including standard syllabified transcriptions for American English (cmudict.0.6d.syl; Bartlett et al., 2009) and word frequency measures from the SUBTLEX-US dictionary (Brysbaert & New, 2009). Word frequencies are displayed in Zipf units (van Heuven et al 2014), a logarithmic scale defined as log10(word frequency in words per billion), with distribution from approximately 1 (very low frequency) to 7 (high frequency function words, articles, etc.).

Bartlett, S., Kondrak, G., & Cherry, C. (2009, June). On the syllabification of phonemes. In Proceedings of human language technologies: The 2009 annual conference of the north american chapter of the association for computational linguistics (pp. 308-316).

Brysbaert, M., & New, B. (2009). Moving beyond Kučera and Francis: A critical evaluation of current word frequency norms and the introduction of a new and improved word frequency measure for American English. Behavior research methods, 41(4), 977-990.

Stoel-Gammon, C. (2010). The Word Complexity Measure: Description and application to developmental phonology and disorders. Clinical linguistics & phonetics, 24(4-5), 271-282.

Van Heuven, W. J., Mandera, P., Keuleers, E., & Brysbaert, M. (2014). SUBTLEX-UK: A new and improved word frequency database for British English. Quarterly journal of experimental psychology, 67(6), 1176-1190.

rbcavanaugh commented 2 years ago

I'll just add a quick tip for including lots of text. You can use the includeMarkdown() function to call a markdown file into your app (saved in /www usually). This was you can just paste this text into a markdown (.md) file instead of worrying about formatting it in HTML. For example, the following would put markdown text in the middle of the page.

fluidPage(
    column(width = 10, offset = 1,
        includeMarkdown("www/nameofdoc.md")
    )
)