The document discusses alternative R packages for creating graphs beyond base R graphics. It focuses on the lattice package, which aims to improve on base graphics with better defaults and easier multivariate displays using trellis graphs. Trellis graphs display variables or relationships conditioned on other variables. Examples of different graph types like scatterplots, boxplots, and density plots are provided.

4. There are other graphic engines available through
various R packages. They provide alternative
ways of defining graphs, contain extra
functionality, or make use of different paradigms
about the elements of plot building.

5. The lattice package, written by
Deepayan Sarkar, attempts to
improve on base R graphics by
providing better defaults and the
ability to easily display
multivariate relationships. In
particular, the package supports
the creation of trellis graphs -
graphs that display a variable or
the relationship between
variables, conditioned on one or
more other variables. Usage:
graph_type description formula
examples
barchart bar chart x~A or A~x
bwplot boxplot x~A or A~x
cloud 3D scatterplot z~x*y|A
contourplot 3D contour plot z~x*y
densityplot kernal density plot ~x|A*B
dotplot dotplot ~x|A
histogram histogram ~x
levelplot 3D level plot z~y*x
parallel parallel
coordinates plot
data frame
splom scatterplot matrix data frame
stripplot strip plots A~x or x~A
xyplot scatterplot y~x|A
wireframe 3D wireframe
graph
z~y*x

6. The lattice package, written by Deepayan Sarkar, attempts to
improve on base R graphics by providing better defaults and the
ability to easily display multivariate relationships. In particular, the
package supports the creation of trellis graphs - graphs that display
a variable or the relationship between variables, conditioned on one
or more other variables. Usage:
> data(quakes)
> head(quakes)
lat long depth mag stations
1 -20.42 181.62 562 4.8 41
2 -20.62 181.03 650 4.2 15
3 -26.00 184.10 42 5.4 43
4 -17.97 181.66 626 4.1 19
5 -20.42 181.96 649 4.0 11
6 -19.68 184.31 195 4.0 12

7. quakes <- xyplot(lat ~ long, data = quakes, aspect = "iso",
groups = cut(depth, breaks = quantile(depth, ppoints(4,
1))), auto.key = list(columns = 3, title = "Depth"),
xlab = "Longitude", ylab = "Latitude")
print(quakes)

8. pl <- xyplot(lat ~ long, data = quakes, aspect = "iso",
groups = cut(depth, breaks = quantile(depth, ppoints(4,
1))), auto.key = list(columns = 3, title = "Depth"),
xlab = "Longitude", ylab = "Latitude")
print(pl)

10. qplot(x, y, data=, color=, shape=, size=, alpha=, geom=,
method=, formula=, facets=, xlim=, ylim= xlab=, ylab=, main=,
sub=)

11. qplot(x, y, data=, color=, shape=, size=, alpha=, geom=,
method=, formula=, facets=, xlim=, ylim= xlab=, ylab=, main=,
sub=)

12. qplot(x, y, data=, color=, shape=, size=, alpha=, geom=,
method=, formula=, facets=, xlim=, ylim= xlab=, ylab=, main=,
sub=)

13. qplot(x, y, data=, color=, shape=, size=, alpha=, geom=,
method=, formula=, facets=, xlim=, ylim= xlab=, ylab=, main=,
sub=)

14. quakes$Depth <- with(quakes, cut(depth, breaks = quantile(depth,
ppoints(5, 1)), include.lowest = TRUE))
QGraph <- ggplot(quakes, aes(long, lat, colour = Depth)) +
geom_point() + coord_equal() + labs(x = "Longitude",
y = "Latitude") + ggtitle("Depth")
print(QGraph)

15. quakes$Depth <- with(quakes, cut(depth, breaks = quantile(depth,
ppoints(5, 1)), include.lowest = TRUE))
QGraph <- ggplot(quakes, aes(long, lat, colour = Depth)) +
geom_point() + coord_equal() + labs(x = "Longitude",
y = "Latitude") + ggtitle("Depth")
print(QGraph)

16. quakes$Depth <- with(quakes, cut(depth, breaks = quantile(depth,
ppoints(5, 1)), include.lowest = TRUE))
QGraph <- ggplot(quakes, aes(long, lat, colour = Depth)) +
geom_point() + coord_equal() + labs(x = "Longitude",
y = "Latitude") + ggtitle("Depth")
print(QGraph)

18. http://www.r-graph-gallery.com/

19. Samples: http://www.r-graph-gallery.com/