Question

I have data at a number of days since an event. This data is sampled irregularly – my time points are like 0, 5, 6, 10, 104 days. I don’t have specific date-time information – i.e. I have no idea when in real life the event I’m studying occurred.

I’d like to plot, using ggplot, my time series. I can use, say

p <- ggplot(data,aes(x=time,y=expression))
p <- p + geom_point()

but of course my x-axis variables are plotted next to each other, so that the distance between t=10 and t=104 is the same as t=5 and t=6. So I can make something up like

start <- ISOdate(2001, 1, 1, tz = "")
data$time <- start + data$time*60*60*12

which almost works, but now the ticks on my x-axis are horribly inaccurate date times. I could re-format them maybe? But can’t see anyway to make the format “days from start”. And by now I’ve been googling around for quite a while, with the nagging feeling that I’m missing something seriously obvious. Am I?

Answer 1

Sounds like your time variable is a factor or maybe a character vector, not a numeric value! If you do data$time <- as.numeric(data$time) it may well solve your problem.

ggplot is pretty good at using the right sort of scale for the right sort of data. (Sadly, data import routines in R generally are less smart…)