This is a demo of an R notebook. Code blocks may be added with the +
and repositioned with the up and down arrow buttons. Press Run
to execute the code in that block. Markdown blocks are added the same way, but change the type of block by clicking the dropdown and selecting markdown
.
As a quick demonstration, we can examine and then plot the data in the two default datasets that come packaged with R - mtcars
, which is about cars, and iris
, which is about flowers.
mtcars
mpg | cyl | disp | hp | drat | wt | qsec | vs | am | gear | carb | |
---|---|---|---|---|---|---|---|---|---|---|---|
Mazda RX4 | 21.0 | 6 | 160.0 | 110 | 3.90 | 2.620 | 16.46 | 0 | 1 | 4 | 4 |
Mazda RX4 Wag | 21.0 | 6 | 160.0 | 110 | 3.90 | 2.875 | 17.02 | 0 | 1 | 4 | 4 |
Datsun 710 | 22.8 | 4 | 108.0 | 93 | 3.85 | 2.320 | 18.61 | 1 | 1 | 4 | 1 |
Hornet 4 Drive | 21.4 | 6 | 258.0 | 110 | 3.08 | 3.215 | 19.44 | 1 | 0 | 3 | 1 |
Hornet Sportabout | 18.7 | 8 | 360.0 | 175 | 3.15 | 3.440 | 17.02 | 0 | 0 | 3 | 2 |
Valiant | 18.1 | 6 | 225.0 | 105 | 2.76 | 3.460 | 20.22 | 1 | 0 | 3 | 1 |
Duster 360 | 14.3 | 8 | 360.0 | 245 | 3.21 | 3.570 | 15.84 | 0 | 0 | 3 | 4 |
Merc 240D | 24.4 | 4 | 146.7 | 62 | 3.69 | 3.190 | 20.00 | 1 | 0 | 4 | 2 |
Merc 230 | 22.8 | 4 | 140.8 | 95 | 3.92 | 3.150 | 22.90 | 1 | 0 | 4 | 2 |
Merc 280 | 19.2 | 6 | 167.6 | 123 | 3.92 | 3.440 | 18.30 | 1 | 0 | 4 | 4 |
Merc 280C | 17.8 | 6 | 167.6 | 123 | 3.92 | 3.440 | 18.90 | 1 | 0 | 4 | 4 |
Merc 450SE | 16.4 | 8 | 275.8 | 180 | 3.07 | 4.070 | 17.40 | 0 | 0 | 3 | 3 |
Merc 450SL | 17.3 | 8 | 275.8 | 180 | 3.07 | 3.730 | 17.60 | 0 | 0 | 3 | 3 |
Merc 450SLC | 15.2 | 8 | 275.8 | 180 | 3.07 | 3.780 | 18.00 | 0 | 0 | 3 | 3 |
Cadillac Fleetwood | 10.4 | 8 | 472.0 | 205 | 2.93 | 5.250 | 17.98 | 0 | 0 | 3 | 4 |
Lincoln Continental | 10.4 | 8 | 460.0 | 215 | 3.00 | 5.424 | 17.82 | 0 | 0 | 3 | 4 |
Chrysler Imperial | 14.7 | 8 | 440.0 | 230 | 3.23 | 5.345 | 17.42 | 0 | 0 | 3 | 4 |
Fiat 128 | 32.4 | 4 | 78.7 | 66 | 4.08 | 2.200 | 19.47 | 1 | 1 | 4 | 1 |
Honda Civic | 30.4 | 4 | 75.7 | 52 | 4.93 | 1.615 | 18.52 | 1 | 1 | 4 | 2 |
Toyota Corolla | 33.9 | 4 | 71.1 | 65 | 4.22 | 1.835 | 19.90 | 1 | 1 | 4 | 1 |
Toyota Corona | 21.5 | 4 | 120.1 | 97 | 3.70 | 2.465 | 20.01 | 1 | 0 | 3 | 1 |
Dodge Challenger | 15.5 | 8 | 318.0 | 150 | 2.76 | 3.520 | 16.87 | 0 | 0 | 3 | 2 |
AMC Javelin | 15.2 | 8 | 304.0 | 150 | 3.15 | 3.435 | 17.30 | 0 | 0 | 3 | 2 |
Camaro Z28 | 13.3 | 8 | 350.0 | 245 | 3.73 | 3.840 | 15.41 | 0 | 0 | 3 | 4 |
Pontiac Firebird | 19.2 | 8 | 400.0 | 175 | 3.08 | 3.845 | 17.05 | 0 | 0 | 3 | 2 |
Fiat X1-9 | 27.3 | 4 | 79.0 | 66 | 4.08 | 1.935 | 18.90 | 1 | 1 | 4 | 1 |
Porsche 914-2 | 26.0 | 4 | 120.3 | 91 | 4.43 | 2.140 | 16.70 | 0 | 1 | 5 | 2 |
Lotus Europa | 30.4 | 4 | 95.1 | 113 | 3.77 | 1.513 | 16.90 | 1 | 1 | 5 | 2 |
Ford Pantera L | 15.8 | 8 | 351.0 | 264 | 4.22 | 3.170 | 14.50 | 0 | 1 | 5 | 4 |
Ferrari Dino | 19.7 | 6 | 145.0 | 175 | 3.62 | 2.770 | 15.50 | 0 | 1 | 5 | 6 |
Maserati Bora | 15.0 | 8 | 301.0 | 335 | 3.54 | 3.570 | 14.60 | 0 | 1 | 5 | 8 |
Volvo 142E | 21.4 | 4 | 121.0 | 109 | 4.11 | 2.780 | 18.60 | 1 | 1 | 4 | 2 |
plot(mtcars)
plot(iris)
iris
Sepal.Length | Sepal.Width | Petal.Length | Petal.Width | Species |
---|---|---|---|---|
5.1 | 3.5 | 1.4 | 0.2 | setosa |
4.9 | 3.0 | 1.4 | 0.2 | setosa |
4.7 | 3.2 | 1.3 | 0.2 | setosa |
4.6 | 3.1 | 1.5 | 0.2 | setosa |
5.0 | 3.6 | 1.4 | 0.2 | setosa |
5.4 | 3.9 | 1.7 | 0.4 | setosa |
4.6 | 3.4 | 1.4 | 0.3 | setosa |
5.0 | 3.4 | 1.5 | 0.2 | setosa |
4.4 | 2.9 | 1.4 | 0.2 | setosa |
4.9 | 3.1 | 1.5 | 0.1 | setosa |
5.4 | 3.7 | 1.5 | 0.2 | setosa |
4.8 | 3.4 | 1.6 | 0.2 | setosa |
4.8 | 3.0 | 1.4 | 0.1 | setosa |
4.3 | 3.0 | 1.1 | 0.1 | setosa |
5.8 | 4.0 | 1.2 | 0.2 | setosa |
5.7 | 4.4 | 1.5 | 0.4 | setosa |
5.4 | 3.9 | 1.3 | 0.4 | setosa |
5.1 | 3.5 | 1.4 | 0.3 | setosa |
5.7 | 3.8 | 1.7 | 0.3 | setosa |
5.1 | 3.8 | 1.5 | 0.3 | setosa |
5.4 | 3.4 | 1.7 | 0.2 | setosa |
5.1 | 3.7 | 1.5 | 0.4 | setosa |
4.6 | 3.6 | 1.0 | 0.2 | setosa |
5.1 | 3.3 | 1.7 | 0.5 | setosa |
4.8 | 3.4 | 1.9 | 0.2 | setosa |
5.0 | 3.0 | 1.6 | 0.2 | setosa |
5.0 | 3.4 | 1.6 | 0.4 | setosa |
5.2 | 3.5 | 1.5 | 0.2 | setosa |
5.2 | 3.4 | 1.4 | 0.2 | setosa |
4.7 | 3.2 | 1.6 | 0.2 | setosa |
⋮ | ⋮ | ⋮ | ⋮ | ⋮ |
6.9 | 3.2 | 5.7 | 2.3 | virginica |
5.6 | 2.8 | 4.9 | 2.0 | virginica |
7.7 | 2.8 | 6.7 | 2.0 | virginica |
6.3 | 2.7 | 4.9 | 1.8 | virginica |
6.7 | 3.3 | 5.7 | 2.1 | virginica |
7.2 | 3.2 | 6.0 | 1.8 | virginica |
6.2 | 2.8 | 4.8 | 1.8 | virginica |
6.1 | 3.0 | 4.9 | 1.8 | virginica |
6.4 | 2.8 | 5.6 | 2.1 | virginica |
7.2 | 3.0 | 5.8 | 1.6 | virginica |
7.4 | 2.8 | 6.1 | 1.9 | virginica |
7.9 | 3.8 | 6.4 | 2.0 | virginica |
6.4 | 2.8 | 5.6 | 2.2 | virginica |
6.3 | 2.8 | 5.1 | 1.5 | virginica |
6.1 | 2.6 | 5.6 | 1.4 | virginica |
7.7 | 3.0 | 6.1 | 2.3 | virginica |
6.3 | 3.4 | 5.6 | 2.4 | virginica |
6.4 | 3.1 | 5.5 | 1.8 | virginica |
6.0 | 3.0 | 4.8 | 1.8 | virginica |
6.9 | 3.1 | 5.4 | 2.1 | virginica |
6.7 | 3.1 | 5.6 | 2.4 | virginica |
6.9 | 3.1 | 5.1 | 2.3 | virginica |
5.8 | 2.7 | 5.1 | 1.9 | virginica |
6.8 | 3.2 | 5.9 | 2.3 | virginica |
6.7 | 3.3 | 5.7 | 2.5 | virginica |
6.7 | 3.0 | 5.2 | 2.3 | virginica |
6.3 | 2.5 | 5.0 | 1.9 | virginica |
6.5 | 3.0 | 5.2 | 2.0 | virginica |
6.2 | 3.4 | 5.4 | 2.3 | virginica |
5.9 | 3.0 | 5.1 | 1.8 | virginica |
# in this plot, we plot out the Petal.Width column from the iris dataset
plot(iris$Petal.Width)
You will have many opportunities to work with R code in the Digital Archaeology textbook. Remember to save your work and download your notebooks to your own machine, or to use the terminal
in Jupyter to open a command line prompt where you can use git to save and push your changes to your repository, eg,
git add .
git commit -m "working with my R notebook"
git push -u origin master