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November 12, 2012 20:45
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Chicago Data visualization ggplot2 Tutorial 3 Script
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# Let's customize our plot outputs. First, load the library. | |
library(ggplot2) | |
# Plot something simple | |
p <- ggplot(mtcars, aes(x=cyl, y=mpg)) + geom_point(aes(color=qsec, size=wt)) | |
# Change axis | |
p + scale_y_continuous(limits=c(0,40)) | |
# Change Labels | |
p + scale_y_continuous(limits=c(0,40)) + labs(title="Size of engine and fuel efficiency \n [or, how I stopped worrying about my SUV]", x="Miles per Gallon", y="Cylinders") | |
# Choose the breaks for the x-axis | |
p + scale_y_continuous(limits=c(0,40)) + scale_x_continuous(limits=c(4,8), breaks=c(4,6,8)) | |
# Relabel them too | |
p + scale_y_continuous(limits=c(0,40)) + scale_x_continuous(limits=c(4,8), breaks=c(4,6,8), labels=c("Small", "Medium", "Large")) | |
# Legends need some clarity too. | |
legend <- guides(color = guide_legend("Acceleration in quarter seconds"), size = guide_legend("Weight (in thousands)")) | |
p + legend | |
# Change colorbar to dots | |
legend <- guides(color=guide_legend("Now I'm dots"), size = guide_legend("Weight (in thousands")) | |
p + legend | |
# Can change how the data is aggregated. Let's change the number of bubbles in the guide. | |
legend <- guides(color = guide_colorbar("Acceleration in quarter seconds", order=2), size = guide_legend("Weight (in thousands)", order=1)) | |
p + legend | |
# Move the legend to the bottom | |
legend <- legend + theme(legend.position="bottom") # Remember you can store as variables | |
p + legend + theme(legend.position="bottom") | |
# And side-to-side legend entries | |
p + legend + theme(legend.position="bottom", legend.box="horizontal") | |
# Save some more space by moving the legend titles to the top | |
legend <- guides(color = guide_colorbar("Acceleration in quarter seconds", order=2, title.position="top"), size = guide_legend("Weight (in thousands)", order=1, title.position="top")) | |
p + legend + theme(legend.position="bottom", legend.box="horizontal") | |
# Add some color to the legend | |
p + legend + theme(legend.position="bottom", legend.box="horizontal", legend.background = element_rect(colour = "black")) | |
# Or fill the legend box | |
p + legend + theme(legend.position="bottom", legend.box="horizontal", legend.background = element_rect(fill = "gray")) # Eh, not quite | |
p + legend + theme(legend.position="bottom", legend.box="horizontal", legend.background = element_rect(fill = "gray"), legend.key = element_rect(fill="gray")) # Still not yet | |
p + legend + theme(legend.position="bottom", legend.box="horizontal", legend.background = element_rect(fill = "gray"), legend.key = element_rect(fill="gray", color="gray")) # Success! | |
# Change the color of the plots | |
p + scale_area(range = c(1,20)) # Range | |
# Annotate the graph to highlight points | |
p + annotate("text", x = 7.25, y = 15, label = "Really important ->") | |
# Or annotate with calculations | |
p + annotate("text", x = 6, y = 30, label = cor(mtcars$mpg, mtcars$cyl)) | |
## Now let's change some elements of the plot theme | |
# Change plot background | |
p + theme(panel.background = element_rect(fill = "white")) | |
# White background with black axis lines | |
p + theme(panel.background=element_rect(fill = "white"), axis.line = element_line(color = "black")) | |
# Now change the major and turn-off minor grids | |
looks <- theme(panel.background=element_rect(fill = "white"), axis.line=element_line(color="black"), panel.grid.major = element_line(color = "grey", linetype="dotted"), panel.grid.minor = element_blank()) | |
p + looks | |
# Remember, we can combine this with our legends | |
p + legend + looks | |
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