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Co-occurence Statistics for Collocations and Collostructions from Tidy Data
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kayaulai/tidycollo
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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%" ) ``` # tidycollo <!-- badges: start --> <!-- badges: end --> The goal of tidycollo is to ... ## Installation You can install the development version of tidycollo like so: ``` r # FILL THIS IN! HOW CAN PEOPLE INSTALL YOUR DEV PACKAGE? ``` ## Example This is a basic example which shows you how to solve a common problem: ```{r example} library(tidycollo) ## 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.
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Co-occurence Statistics for Collocations and Collostructions from Tidy Data
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