touristR is a tourist friendly R package providing useful information to help fellow travellers find the best locations to visit worldwide.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
In case of package loading failure, please make sure that you have the required versions and packages needed, the full list of requirement is available in the DESCRIPTION file.
Note: This package requires
R (>= 3.4.0).
#Please install the development version from GitHub: #install.packages("remotes") #forces building the package with the vignette # remotes::install_github( # "AyrtonRua/group1_project", # build = TRUE, # build_opts = c("--no-resave-data", "--no-manual"), # force = T # ) #alternatively you can use (standard installation approach) #install.packages("devtools") #devtools::install_github("AyrtonRua/group1_project")
Please refer to the documentation of each function
getTopNAttractions(), for further
information on how to use each function.
Nonetheless, please find bellow an example from each function:
#run_shiny (interactive Shiny app) #city = London #relative_sentiment? (unchecked) #track_twitter_hashtag # track_twitter_hashtag( # keyword = c("eiffel tower", "san francisco", "london"), # type = "place", # number = 2, # sincetype = "weeks", # provideN = 100 # ) #getTopNAttractions # getTopNAttractions(city = "london", # n = 10)
In case of any request including bugs, please open a new issue on the GitHub repository of group 1.
Authors (Group 1 Myama)
- Ayrton Rua
- Maurizio Griffo
- Ali Karray
- Mohit Mehrotra
- Youness Zarhloul
Orso, S., Molinari, R., Lee, J., Guerrier, S., & Beckman, M. (2018). An Introduction to Statistical Programming Methods with R. Retrieved from https://smac-group.github.io/ds/
This project is licensed under the GPL-2 License - see the LICENSE file for details.
touristR (2018), Group 1 Myama. Released under GPL-2 License.