Setting the plot title
On pages 67 - 68, there are several lines of code that use
+ opts(title = "geom_xxxx") to set the plot titles. Since
opts() is deprecated and should no longer be used, proper alternatives are:
+ labs(title = "geom_xxxx") ## OR + ggtitle("geom_xxxx")
Finding a missing function
When you try to plot the right-side panel of Figure 5.4 on pg. 71, you will likely get an error:
library(ggplot2) qplot(carat, depth, data = diamonds, geom = "boxplot", group = round_any(carat, 0.1, floor), xlim = c(0, 3))
## Error in eval(expr, envir, enclos) : could not find function "round_any"
Let’s try to use the
round_any() function without
## Error: could not find function "round_any"
We get the same error, so let’s see if we can figure out what’s up with
## No documentation for 'round_any' in specified packages and libraries: ## you could try '??round_any'
OK, let’s follow that advice…
In the window that pops up, we see that
round_any() is found in both
reshape. These packages are both dependencies of
ggplot2 and the
round_any() function is the same in each. For access to the function, we need to load one of them.
Now we get the help file for
round_any() and the function actually works:
##  1200
Another function that you need later will also be loaded with this approach:
Specifying the transparency of a color
The code on pg. 73-74 for building the plots in Figures 5.8 and 5.9 uses a deprecated method for setting the transparency of a color:
df <- data.frame(x = rnorm(100000), y = rnorm(100000)) norm <- ggplot(df, aes(x, y)) norm + geom_point(colour = alpha("black", 1/3))
## Error in do.call("layer", list(mapping = mapping, data = data, stat = stat, : ## could not find function "alpha"
alpha must be set separately:
norm + geom_point(colour = "black", alpha = 1/3)
Removing a legend
opts() has been deprecated, legends should not be removed with
+ opts(legend.position = "none"). The proper method is now uses
+ theme(legend.position = "none")
Geom vs. Stat
On page 75,
stat_binhex() are used when
geom_hex() would have given the same results. This is becuase they are the default geoms for these stats (and vice versa). In such a case, it is probably more simple to just specify the geom since that is what we are used to.
Later on, however,
stat_density2d(geom = "point") and
stat_density2d(geom = "tile") are used to demonstrate how to use the non-default geom for a stat.
There are more issues with the code in this chapter. But this will get you started. I’ll update this when I have a chance.