Jupyter Notebook can be installed using the following steps:

1. Jupyter Notebook can be installed using pip:

pip3 install --upgrade pip
pip3 install jupyter

2. If you have installed Anaconda, then the default computational kernel installed is Python. To install an R computation kernel in Jupyter within the same environment, type the following command in a terminal:

conda install -c r r-essentials

3. To install the R computational kernel in a new environment named new-env within conda, type as follows:

conda create -n new-env -c r r-essentials

4. Another way to include the R computational kernel in Jupyter Notebook uses the IRkernel package. To install through this process, start the R IDE. The first step is to install dependencies required for the IRkernal installation:

chooseCRANmirror(ind=55) # choose mirror for installation
install.packages(c('repr', 'IRdisplay', 'crayon', 'pbdZMQ',
'devtools'), dependencies=TRUE)

5. Once all the dependencies are installed from CRAN, install the IRkernal package from GitHub:

library(devtools)
library(methods)
options(repos=c(CRAN='https://cran.rstudio.com'))
devtools::install_github('IRkernel/IRkernel')

6. Once all the requirements are satisfied, the R computation kernel can be set up in Jupyter Notebook using the following script:

library(IRkernel)
IRkernel::installspec(name = 'ir32', displayname = 'R 3.2')

7. Jupyter Notebook can be started by opening a shell/terminal. Run the following command to start the Jupyter Notebook interface in the browser, as shown in the screenshot following this code:

jupyter notebook