Reputation: 999
I have the daily weather report like this. What I want is to calculate the monthly mean of the max, min and observation temperature and then plot these three lines. I already convert the date format like this:
Date = as.POSIXlt(Weather2011$Date, format = "%m/%d/%Y")
Year = as.numeric(format(Date, format = "%Y"))
Month = as.numeric(format(Date, format = "%m"))
Week = as.numeric(format(Date, format = "%U"))
Weekday = as.numeric(format(Date, format = "%w"))
Weather2011
looks like this:
Date Max.Temp Min.Temp Temp Date Year Month Week Weekday
6/3/2010 87 63 63 2010-06-03 2010 6 22 4
6/4/2010 83 63 73 2010-06-04 2010 6 22 5
Upvotes: 0
Views: 5416
Reputation: 11995
I find that tapply works well. Ex.
x <- seq(from=as.Date("2000-01-01"), to=as.Date("2004-12-31"), by="day")
y <- sin(seq(from=0, to=2*pi*5,length.out=length(x)))+rnorm(length(x))
yyyymm <- paste(format(as.POSIXlt(x), format="%Y-%m"), "01", sep="-")
MEAN <- tapply(y, yyyymm, mean)
MAX <- tapply(y, yyyymm, max)
MIN <- tapply(y, yyyymm, min)
#plots
x11()
par(mfcol=c(1,2))
plot(x,y, ylim=range(MEAN, MAX, MIN), ylab="", xlab="")
plot(as.POSIXlt(names(MEAN)), MEAN, t="l", ylim=range(MEAN, MAX, MIN), ylab="", xlab="")
lines(as.POSIXlt(names(MEAN)), MAX, lty=2)
lines(as.POSIXlt(names(MEAN)), MIN, lty=2)
Upvotes: 3