On Sat, Jan 14, 2012 at 4:35 AM, claire5 <claire.moran...@free.fr> wrote: > I have been trying for some time to nicely plot some of my data, I have > around 1800 values for some light intensity, taken every hour of the day > over almost 2 months. > > My data file looks like: > > Date Time. GMT.02.00 Intensity > 1 06.10.11 11:00:00 AM x > 2 06.10.11 12:00:00 PM x > 3 06.10.11 01:00:00 PM x > 4 06.10.11 02:00:00 PM x > > As I am pretty new to R, I am totally struggling with this issue, does > anyone has an idea on how I could plot nicely the data and if I need to > change my data file? >
With the zoo package its as follows. For the actual data which resides in a file rather than in a character string, Lines, we would replace text=Lines with something like "myfile.dat". # sample data Lines <- "Date Time. GMT.02.00 Intensity 1 06.10.11 11:00:00 AM 1 2 06.10.11 12:00:00 PM 2 3 06.10.11 01:00:00 PM 3 4 06.10.11 02:00:00 PM 4" library(zoo) z <- read.zoo(text = Lines, index = 1:3, tz = "", format = "%m.%d.%y %r") plot(z) We might alternately want to use chron date/times to avoid time zone problems later (as per R News 4/1). In that case it would be: library(zoo) library(chron) toChron <- function(d, t, p) as.chron(paste(d, t, p), format = "%m.%d.%y %r") z <- read.zoo(text = Lines, index = 1:3, FUN = toChron) plot(z) Note that in both cases we could omit header = TRUE because there is one more data column than header column so it can deduce the correct header= value. Read the 5 zoo vignettes and particularly the one on read.zoo as well as the help files for more info. -- Statistics & Software Consulting GKX Group, GKX Associates Inc. tel: 1-877-GKX-GROUP email: ggrothendieck at gmail.com ______________________________________________ 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.
