This is a tutorial on installing Jupyter.
Rowen’s Blog [http://wenup.wordpress.com]
Use command prompt if in windows or terminal in linux or MacOS.
Create a new Environment called R Install packages named R and R-Essentials * conda -n r -c r r-essentials
This command creates an environment named r with installation of r and r-essentials (common packages)
C:>
C:>activate r
C:>jupyter notebook
http://localhost:8888 Usually it is port 8888, but you can see the port number on the command prompt
This automatically saves your work, and you can export your work in a number of formats.
print("Hello R")
## [1] "Hello R"
citation()
##
## To cite R in publications use:
##
## R Core Team (2015). R: A language and environment for
## statistical computing. R Foundation for Statistical Computing,
## Vienna, Austria. URL https://www.R-project.org/.
##
## A BibTeX entry for LaTeX users is
##
## @Manual{,
## title = {R: A Language and Environment for Statistical Computing},
## author = {{R Core Team}},
## organization = {R Foundation for Statistical Computing},
## address = {Vienna, Austria},
## year = {2015},
## url = {https://www.R-project.org/},
## }
##
## We have invested a lot of time and effort in creating R, please
## cite it when using it for data analysis. See also
## 'citation("pkgname")' for citing R packages.
R.Version()
## $platform
## [1] "x86_64-w64-mingw32"
##
## $arch
## [1] "x86_64"
##
## $os
## [1] "mingw32"
##
## $system
## [1] "x86_64, mingw32"
##
## $status
## [1] ""
##
## $major
## [1] "3"
##
## $minor
## [1] "2.3"
##
## $year
## [1] "2015"
##
## $month
## [1] "12"
##
## $day
## [1] "10"
##
## $`svn rev`
## [1] "69752"
##
## $language
## [1] "R"
##
## $version.string
## [1] "R version 3.2.3 (2015-12-10)"
##
## $nickname
## [1] "Wooden Christmas-Tree"
x <- rnorm(1000)
plot(x)
Goto your prompt or terminal
R
You need to specify the repo source.