Melbourne daily maximum temperatures in degrees Celsius over the ten-year period 1981--1990.
data(melbmaxtemp)
A vector with 3650 observations.
This is a time series data from Melbourne, Australia. It is commonly used to give a difficult quantile regression problem since the data is bimodal. That is, a hot day is likely to be followed by either an equally hot day or one much cooler. However, an independence assumption is typically made.
Hyndman, R. J. and Bashtannyk, D. M. and Grunwald, G. K. (1996). Estimating and visualizing conditional densities. J. Comput. Graph. Statist., 5(4), 315--336.
# NOT RUN {
summary(melbmaxtemp)
# }
# NOT RUN {
par(mfrow = c(1, 1), mar = c(5, 4, 0.2, 0.1) + 0.1, las = 1)
melb <- data.frame(today = melbmaxtemp[-1],
yesterday = melbmaxtemp[-length(melbmaxtemp)])
plot(today ~ yesterday, data = melb,
xlab = "Yesterday's Max Temperature",
ylab = "Today's Max Temperature", cex = 1.4, type = "n")
points(today ~ yesterday, data = melb, pch = 0, cex = 0.50, col = "blue")
abline(a = 0, b = 1, lty = 3)
# }
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