Nothing
## ---- include = FALSE,warning=FALSE-------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
## ---- eval = FALSE------------------------------------------------------------
# install.packages("iriR")
## ---- eval = FALSE------------------------------------------------------------
# install.packages("remotes")
# remotes::install_github("warint/iriR")
## ----echo=FALSE---------------------------------------------------------------
library(iriR)
## ---- eval = FALSE------------------------------------------------------------
# irir_country() # A list of all countries will be produced
#
# irir_country(country = "Canada") # The ISO code for Canada will be produced
#
# irir_country("Canada") # The ISO code for Canada will be produced
## ---- eval = FALSE------------------------------------------------------------
# irir_indicator() # A list of all indicators will be produced
#
# irir_indicator(indicators = "sales") # A list with all the variables including "sales" will be produced
#
# irir_indicator("sales") # A list with all the variables including "sales" will be produced
## ---- eval = FALSE------------------------------------------------------------
# irir_company() # A list of all companies will be produced
#
# irir_company(company = "Samsung") # A list with all the variables including "Samsung" will be produced
#
# irir_indicator("Samsung") # A list with all the variables including "Samsung" will be produced
## ---- eval = FALSE------------------------------------------------------------
# irir_industry() # A list of all companies will be produced
#
# irir_industry(industry = "Automobile") # A list with all the variables including "Automobile" will be produced
#
# irir_industry("Automobile")# A list with all the variables including "Automobile" will be produced
## ---- eval=FALSE--------------------------------------------------------------
# irir_data(country = "USA", years = "2018", indicators = "RD.euro", company = "FORD MOTOR", industry = "Automobiles & Parts", rank = 14) # It generates a data frame of the overall IRI data for American company "FORD MOTOR" in 2018.
#
# irir_data(country=c("USA", "FRA"), years="2018",) # It generates a data frame of all the companies data from all the industries for the USA and France in 2018.
#
# irir_data(years = "2018") # It generates a data frame of all the companies data for from all the industries for all the countries in 2018.
#
# irir_data() # It generates a data frame of the complete dataset
## -----------------------------------------------------------------------------
irir_visual(country = "" ,chart = "bar_1")
## ----eval=FALSE---------------------------------------------------------------
# irir_visual(chart = "bar_1")
## ----eval=FALSE---------------------------------------------------------------
# irir_visual(country = "FRA", chart = "bar_1")
## ----eval=FALSE---------------------------------------------------------------
# irir_visual(chart = "bar_2")
## ----eval=FALSE---------------------------------------------------------------
# irir_visual(chart = "bar_3")
## ----eval=FALSE---------------------------------------------------------------
# irir_visual(chart = "line_1")
## ----eval=FALSE---------------------------------------------------------------
# irir_visual(country= "IND", chart = "line_2")
## ----eval=FALSE---------------------------------------------------------------
# irir_visual( chart = "line_3")
## ----eval=FALSE---------------------------------------------------------------
# irir_visual( chart = "line_4")
## ----eval=FALSE---------------------------------------------------------------
# irir_visual( chart = "line_5")
## ----eval=FALSE---------------------------------------------------------------
# irir_visual( chart = "line_6")
## ----eval=FALSE---------------------------------------------------------------
# irir_visual( chart = "point_1")
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