Stacking multiple plots, vertically with the same x axis but different Y axes in R

Question

I have a data.frame with multiple time series vectors against a date:time vector. I would like to plot all of the relevant vectors, vertically stacked on separate graphs wit

Answer 1

I agree with @PaulHiemstra, ggplot2 is the way to go.

Assuming Smooth.Vert.Speed is the common x-axis variable against which you want to plot DEPTH, X, Y and Z...

library(ggplot2)
library(reshape2)

# Add time variable as per @BenBolker's suggestion
dt$time <- seq(nrow(dt))

# Use melt to reshape data so values and variables are in separate columns
dt.df <- melt(dt, measure.vars = c("DEPTH", "X", "Y", "Z"))

ggplot(dt.df, aes(x = time, y = value)) +
  geom_line(aes(color = variable)) +
  facet_grid(variable ~ ., scales = "free_y") +
  # Suppress the legend since color isn't actually providing any information
  opts(legend.position = "none")