I'm working with the data set resembling the extract below:
head(nomis.lng.agg)
quarter decile avg.val
1 2004 Q4 1 5.680000
2 2005 Q1 1 5.745763
3 2005 Q2 1 5.503341
4 2005 Q3 1 5.668224
5 2005 Q4 1 5.244604
6 2006 Q1 1 5.347222
The variable quarter is of class yearqtr
as generated by zoo
. The remaining two columns are numerical. I'm currently generating a plot that uses the following ggplot
syntax:
ggplot(data = subset(x = df,
subset = df$decile== 1 |
df$decile== 10),
aes(x = quarter, y = avg.val, group = decile)) +
geom_line(aes(linetype=as.factor(decile)),
size = 1) +
scale_x_yearqtr(format = "%YQ%q", n = 5) +
xlab("Quarter") +
ylab("Average val") +
ggtitle("Plot") +
scale_linetype_discrete(name="Legend") +
theme(panel.background = element_blank(),
axis.line = element_line(colour = "black"),
axis.text = element_text(size = 12, colour = "black"),
axis.title = element_text(size = 14, colour = "black"),
panel.grid.minor = element_blank(),
panel.grid.major.y = element_line(colour = "gray"),
panel.grid.major.x = element_blank(),
axis.text = element_text(size = 12, colour = "black"),
legend.text = element_text(size = 12),
legend.title = element_text(size = 12),
legend.key.width=unit(1.5,"cm"),
legend.position = "bottom",
legend.key = element_rect(fill = "white"),
legend.background = element_rect(colour = "black"),
plot.title = element_text(face="bold"),
plot.background = element_rect(colour = "black"))
The plot is almost perfect with exception of the x-axis. The current x-axis looks like that:
My focus is on the code scale_x_yearqtr(format = "%YQ%q", n = 5)
. As my data starts from 2004 Q4 I'm not interested in plotting 2004 Q1, but I want to set the limits with:
scale_x_yearqtr(format = "%YQ%q",
limits=c(min(quarter), max=max(quarter)))
However, this doesn't yield the desired results, despite:
min(df$quarter)
[1] "2004 Q4"