Now your first data point is 9/26/09; is it supposed to be 9/26/06? On Nov 12, 2007 1:47 PM, John Kane <[EMAIL PROTECTED]> wrote: > I am completely misunderstanding how to handle dates. > I want to plot a couple of data series against some > dates. Simple example 1 below works fine. > Unfortunately I have multiple observations per day (no > time breakdowns) and observations across years. > (example 2 very simplistic version ) > > Can anyone suggest a quick fix or point me to > something to read? I thought that zoo might do it but > I seem to be missing something there too. > > Any suggestions gratefully recieved. > > > Example 1 consecutive dates same year. > ================================================= > x <- "days > 9/26/09 > 9/27/06 > 9/28/06 > 9/29/06 > 9/29/06 > 9/29/06 > 10/1/06 > 10/1/06 > 10/2/06 > 10/3/06" > > mydata <- read.table(textConnection(x), header=TRUE, > as.is=TRUE); mydata > > mydates <- as.Date(mydata[,1], "%m/%d/%y"); mydates > mynums <- rnorm(10) > plot(mydates, mynums) > ================================================ > Example 2 (things go blooy!) > non-consecutive dates different years. > > ================================================= > x <- "days > 9/26/09 > 9/27/06 > 9/28/06 > 9/29/06 > 9/29/06 > 9/29/06 > 10/1/07 # <- year changes > 10/1/07 > 10/2/07 > 10/3/07" > > mydata <- read.table(textConnection(x), header=TRUE, > as.is=TRUE); mydata > > mydates <- as.Date(mydata[,1], "%m/%d/%y"); mydates > mynums <- rnorm(10) > plot(mydates, mynums) > > ______________________________________________ > R-help@r-project.org mailing list > 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. >
-- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem you are trying to solve? ______________________________________________ R-help@r-project.org mailing list 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.
