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A Shiny app to discover cocktails.

-- Steven E. Pav,shabbychef@gmail.com

This package can be installed fromCRAN,viadrat, orfromgithubvia devtools:

# via CRAN:install.packages("cocktailApp")# via drat:if (require(drat)) {drat:::add("shabbychef")    install.packages("cocktailApp")}# get snapshot from github (may be buggy)if (require(devtools)) {# latest greatest    install_github("shabbychef/cocktailApp",ref="master")}

The app can be run in a few ways:

1. You can download the github repo and run theapp.R in the main directory,either viashiny::runApp() or by moving this directory to a location thatShiny Server serves.
2. You can install the package and then use thecocktailApp() function.

The underlying data to power the shiny app is also available from this package.It is called, simply,cocktails. This data frame has rows for eachingredient, with amounts, and units, and is joined to information about thecocktail, which is identified by name, an upstream ID, URL, rating, number ofvotes, and more.

library(cocktailApp)library(dplyr)library(knitr)utils::data("cocktails",package="cocktailApp")cocktails %>% arrange(desc(rating)) %>% head(n=10) %>%     select(cocktail,ingredient,amt,unit,rating) %>%knitr::kable()