- We are building up to doing data visualization in R via the
ggplot2
package - Last time we reverse-engineered the grammar from graphical outputs
- Today we (forward) engineer them
Fri Sep 23, 2016
ggplot2
packageA statistical graphic is a mapping of data
variables to aes()
thetic attributes of geom_
etric objects.
The five named graphs we'll see in this class
Consider the following data in tidy format:
A | B | C | D |
---|---|---|---|
1 | 1 | 3 | a |
2 | 2 | 2 | a |
3 | 3 | 1 | b |
4 | 4 | 2 | b |
Draw the 5 graphics below, where the x
-axis is variable A
, the y
-axis is variable B
, and
color
of the points corresponds to D
size
of the points corresponds to C
color
of the line corresponds to D