Week 4: continued study of data visualization and graphics; intro to data structures
Plotting regions
We give examples about the omd parameter for
adjusting where a plot is displayed in the plotting window:
R code or the
video about these graphics
We also list some of the other parameters for plotting regions,
as a reference to the many customizations that are possible.
See handout (pg 75 of R Graphics by Paul Murrell),
for a visual understanding of the remainder of these parameters,
if you want some fine tuning to your graphs.
Multiple plots using mfrow and mfcol
We can put multiple plots onto a plotting region
using the mfrow and mfcol parameters:
R code or the
video about multiple plots using mfrow and mfcol
Multiple plots using layout
We can also put multiple plots onto a plotting region
using the layout scheme:
R code or the
video about multiple plots using layout
Many kinds of plots that can be produced in R
We discuss a handful of the different kinds of plots that
we can make in R, with examples.
At the end of this module, we give an example of how to
send the output from plots to a pdf file:
R code (and an pdf example from the end of the discussion), or the
video about several kinds of plots we can make in R
Matrices in R
Matrices are a lot like data frames. We have three different modules to show you the
similarities and differences:
R code or the
first video about matrices
R code or the
second video about matrices
R code or the
third video about matrices
Arrays in R
Arrays are like vectors and data frames but can describe data in several dimensions:
R code or the
video about arrays
Data frames in R
We give a little more discussion about data frames, although we have covered this topic a lot already:
R code or the
video about data frames
Lists in R
Lists are like data frames (each "column" can store different types of data), but the columns can have different lengths:
R code or the
video about lists
More plot examples
One more video about plotting examples in R:
R code or the
video about lists