I want to create a panel plot using xyplot of a line graph whose
x-axis is months of the year and y-axis is the average rainfall in a
given month over the 6 years the data spans.
There should be two levels in this panel plot: odd and even months.
Creating this plot without splitting it into levels is quite
straightforward (creating a for loop to compute a vector of averages)
but the approach is not useful if you want to split the plots into
different levels.
Here is the code:
dfmt <- "%d/%m/%Y"
date <- seq(as.Date("01/01/2010", dfmt), as.Date("31/12/2015", dfmt),
"day")
month <- months(date)
rainfall <- runif(2191, 0, 150)
monthsOfYear <- c("January", "February", "March", "April",
"May", "June", "July", "August", "September", "October",
"November", "December")
parity <- match(month, monthsOfYear) %% 2
# even parity = 0, odd parity = 1
z <- data.frame(rainfall, date, month, parity)
The problem with using xyplot( y ~ x | f, data=z .. ) is the x and y I
want to plot are not columns in z but rather some kind of statistical
summary of columns.
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
