Created
April 21, 2011 03:12
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a1 <- c(4.2,3.2,11.1,1.3,2.2,2.0) | |
a2 <- c(3.9,3.2,10.0,0.8,3.1,3.1) | |
a3 <- c(6.3,2.5,9.8,0.9,2.2,2.4) | |
a4 <- c(4.4,3.1,9.8,0.8,3.3,2.7) | |
a5 <- c(4.8,3.0,9.9,0.7,3.3,2.4) | |
a6 <- c(4.0,3.4,10.5,0.7,3.3,2.1) | |
a <- rbind(a1,a2,a3,a4,a5,a6) | |
# Get data into tidy format, starting with a, defined above | |
rownames(a) <- c("France", "Germany", "Japan", "Britain", "USA", "Turkey") | |
colnames(a) <- c("Work\nStudy", "Unpaid\nwork", "Eating\nsleeping", "Personal\ncare", "Leisure", "Other") | |
library(reshape2) | |
time <- melt(a) | |
names(time) <- c("country", "activity", "hours") | |
# Compute excess hours | |
# No array manipulation magic here | |
time <- ddply(time, "activity", transform, excess = hours - mean(hours)) | |
# Display using ggplot2. Much easier to see the similarities | |
# and differences between the two plots. A few less lines of code | |
# too. | |
library(ggplot2) | |
qplot(activity, excess, data = time) + | |
geom_hline(yintercept = 0, colour = "grey50") + | |
geom_line(aes(group = 1)) + | |
facet_wrap(~ country) | |
qplot(excess, activity, data = time) + | |
geom_segment(aes(xend = 0, yend = activity)) + | |
geom_vline(xintercept = 0, colour = "grey50") + | |
facet_wrap(~ country, nrow = 1) |
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