Using the following code I got the data I wanted, but for some reason I can't figure out knitr
doesn't let me compile a PDF document, as shown further below:
My code:
install.packages("weatherData") library(weatherData) istanbul <- getWeatherForDate("Istanbul", start_date = Sys.Date() - 41, end_date = Sys.Date())
Works out with no problem but I get the following message trying compile the PDF:
Quitting from lines 3-31 (ist_weather.spin.Rmd) Error in contrib.url(repos, type) : trying to use CRAN without setting a mirror Calls: <Anonymous> ... eval -> eval -> install.packages -> grep -> contrib.url Execution halted
If you are downloading R from CRAN, the following CRAN mirrors support HTTPS and we recommend using one of them: CRAN master (Austria): https://cran.r-project.org/ RStudio (USA): https://cran.rstudio.com/ Revolution Analytics (USA): https://cran.revolutionanalytics.com/
CRAN is a network of ftp and web servers around the world that store identical, up-to-date, versions of code and documentation for R. Please use the CRAN mirror nearest to you to minimize network load.
The R package knitr is a general-purpose literate programming engine, with lightweight API's designed to give users full control of the output without heavy coding work. It combines many features into one package with slight tweaks motivated from my everyday use of Sweave.
Knitr produces a R session, without a default cran mirror unless you specifically asked for one. We tend to forget we need to set up CRAN for every R session when we use Rstudio because it takes care of it, but only for interactive use, not for knitr.
You could try specifying a mirror as a install.packages
argument:
install.packages("weatherData",repos = "http://cran.us.r-project.org")
Alternatively, you could set up your default CRAN mirror in your .Rprofile
. See this answer.
That said, it is not a good idea to install packages through a knitr document that you will probably compile several times. You should assume people know how to install a missing package if needed, or at least test whether the package is installed before installing it again
if(!require(weatherData)) install.packages("weatherData",repos = "http://cran.us.r-project.org")
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