R + ggplot: plotting irregular time series

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 informatio

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...)

Answer 2

Not sure if this is what you're looking for (see this related question). You can reformat the axis and deal with irregularity by using the scale_x functions. For instance:

p <- qplot(1:3, 1:3, geom='line') 
p + scale_x_continuous("", breaks=1:3, 
        labels = as.Date(c("2010-06-03", "2010-06-04", "2010-06-07")))

Incidentally, here's a function that I created for plotting multivariate zoo objects:

qplot.zoo <- function(x) {
  if(!inherits(x, "zoo")) stop("x must be a zoo object")
  x.df <- data.frame(dates=index(x), coredata(x))
  x.df <- melt(x.df, id="dates", variable="value")
  ggplot(x.df, aes(x=dates, y=value, group=value, colour=value)) + geom_line() + opts(legend.position = "none")
}