Code and tables

Verbatim

Here is the structure of the iris dataset.

'data.frame':   150 obs. of  5 variables:
 $ Sepal.Length: num  5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
 $ Sepal.Width : num  3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
 $ Petal.Length: num  1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
 $ Petal.Width : num  0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
 $ Species     : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...

Table

Here is a sample table output.

Species Sepal.Length Sepal.Width Petal.Length Petal.Width
setosa 5.006 3.428 1.462 1.462
versicolor 5.936 2.770 4.260 4.260
virginica 6.588 2.974 5.552 5.552

Here we display a crosstab displayed in several different ways with a “pills” interface. To do this, just pass your table() result to the pilltabs() function.

(4.3,5.5] (5.5,6.7] (6.7,7.9]
setosa 47 3 0
versicolor 11 36 3
virginica 1 32 17
(4.3,5.5] (5.5,6.7] (6.7,7.9] Total n
setosa 94.0 6.0 0.0 100 50
versicolor 22.0 72.0 6.0 100 50
virginica 2.0 64.0 34.0 100 50
Ensemble 39.3 47.3 13.3 100 150
(4.3,5.5] (5.5,6.7] (6.7,7.9] Ensemble
setosa 79.7 4.2 0 33.3
versicolor 18.6 50.7 15 33.3
virginica 1.7 45.1 85 33.3
Total 100.0 100.0 100 100.0
n 59.0 71.0 20 150.0
(4.3,5.5] (5.5,6.7] (6.7,7.9]
setosa 6.16 -4.25 -2.58
versicolor -1.95 2.54 -1.42
virginica -4.21 1.71 4.00

X-squared = 111.6339, df = 4, p = < 2.2e-16

Figures

Here is an histogram.

And a wonderful scatterplot, with a caption.

This is a caption

This is a caption

Mathjax

And finally, an incredibly complex equation :

\[ y = \sqrt{\frac{1}{x}} \]