I want to show every second of x-axis label list in the presentation. Simplified code example in the following and its output in Fig. 1 where four Dates shown but #2 and #4 should be skipped.
# https://stackoverflow.com/a/6638722/54964
require(ggplot2)
my.dates = as.Date(c("2011-07-22","2011-07-23",
"2011-07-24","2011-07-28","2011-07-29"))
my.vals = c(5,6,8,7,3)
my.data <- data.frame(date =my.dates, vals = my.vals)
plot(my.dates, my.vals)
p <- ggplot(data = my.data, aes(date,vals))+ geom_line(size = 1.5)
Expected output: skip dates second and fourth.
Actual code where due to rev(Vars)
logic, I cannot apply as.Date
to the values in each category; the variable molten
has a column Dates
p <- ggplot(molten, aes(x = rev(Vars), y = value)) +
geom_bar(aes(fill=variable), stat = "identity", position="dodge") +
facet_wrap( ~ variable, scales="free") +
scale_x_discrete("Column name dates", labels = rev(Dates))
Expected output: skip #2,#4, ... values in each category.
I thought here changing scale_x_discrete
to scale_x_continuous
and having a break sequence breaks = seq(1,length(Dates),2))
in scale_x_continuous
but it fails because of the following error.
Error: `breaks` and `labels` must have the same length
Code
ggplot(data = my.data, aes(as.numeric(date), vals)) +
geom_line(size = 1.5) +
scale_x_continuous(breaks = pretty(as.numeric(rev(my.data$date)), n = 5))
Output
Error: Discrete value supplied to continuous scale
Code proposal
p <- ggplot(molten, aes(x = rev(Vars), y = value)) +
geom_bar(aes(fill=variable), stat = "identity", position="dodge") +
facet_wrap( ~ variable, scales="free") +
scale_x_discrete("My dates", breaks = Dates[seq(1, length(Dates), by = 2)], labels = rev(Dates))
Output
Error: `breaks` and `labels` must have the same length
If you have scale_x_discrete("My dates", breaks = Dates[seq(1, length(Dates), by = 2)])
, you get x-axis without any labels so blank.
Fig. 1 Output of the simplified code example, Fig. 2 Output of EricWatt's first proposal
OS: Debian 9
R: 3.4.0
This works with your simplified example. Without your molten
data.frame it's hard to check it against your more complicated plot.
ggplot(data = my.data, aes(date, vals)) +
geom_line(size = 1.5) +
scale_x_date(breaks = my.data$date[seq(1, length(my.data$date), by = 2)])
Basically, use scale_x_date
which will likely handle any strange date to numeric conversions for you.