Ahoy Avi, Sounds like you be wantin' a gander more explanation than 'til you get your Arrr legs.
# Read in data # I chose to specify explicit classes because the ids and ESHKOL_tert # are really categorical data, so I made them factors # also your data was tab delimited, which I specified using the sep = "\t" dat <- read.table("http://r.789695.n4.nabble.com/file/n2546047/recmi.txt", header = TRUE, sep = "\t", colClasses = c("factor", "factor", rep("integer", 4)) ) # look at the STRucture of the newly created object # notice the first two things are factors # and the rest are 'int' or integer class str(dat) # load the reshape package for the melt function # I find this function easier to demonstrate with than # the reshape() function itself that David mentioned library(reshape) # reshape the data into a more amenable form # I am being explicit in this call, generally # one would do something much simpler: melt(dat, 1:2) would work dat2 <- melt(data = dat, id.vars = c("num1", "ESHKOL_tert"), measure.vars = c("T1", "T2", "T3", "T4"), variable_name = "times") # melt() calls this form "molten", many people refer to it as # 'long' versus 'wide' # traditionally, 'wide' data has one row per person/thing # 'long' data has one row per time point # since you had T1 - T4, each id now gets 4 rows # so the table will be four times as long, checking this: nrow(dat2) == 4 * nrow(dat) # load the ggplot2 package to make the graph library(ggplot2) # Creating the actual graph ggplot(data = dat2, aes(x = value, y = num1)) + geom_point() + facet_grid(ESHKOL_tert ~ ., scales = "free") # This may seem complicated, but it is fairly straightforward # ggplot() creates sort of the "base" of the graphic # it defines what the dataset is and what goes on the X and Y axes # geom_point() adds points to the graph, I could just as easily have used # geom_line() to get lines, etc. # facet_grid() facets the data by level of ESHKOL_tert (so you get 3 panels) # You might prefer the 'quick' way of plotting using ggplot2 qplot(x = value, y = num1, data = dat2, geom = "point") + facet_grid(ESHKOL_tert ~ ., scales = "free") # for further reading ?read.table # this is how we read the data in ?str # I cannot recommend this function enough # Assuming the "reshape" package is loaded ?melt # or for this particular case ?melt.data.frame # for the graph parts ?ggplot ?qplot You can also go to Hadley's website: http://had.co.nz/ggplot2/ He has a book to which I recommend if you will be using ggplot2 a lot. Speaking of books, the R website has a list of books on R, and there are a lot of really nice introductory ones there. http://www.r-project.org/doc/bib/R-books.html You can also find and learn a lot online and through the documentation (like I showed above). I am not really sure how you wanted to show time, id, the actual values, and group (ESHKOL) in one plot. So I did not do anything with time (T1 - T4). Cheers, Makes-a-terrible-pirate-Josh On Sun, Sep 19, 2010 at 10:49 AM, avsha38 <avsha...@post.tau.ac.il> wrote: > > Hi Josh, > > Great samples! Thanks a lot! > I ran your code and saw the Dot Chart, looks like what I need. > > I would like to ask for your help with applying it to my file, > coming from the Theoretical world making it tough for me to apply in the > Code.. > attached below is part of my dataset > num1 is ID variable > Grouping variable = ESHKOL_tert (factor with 3 levels: 1-3) > T1 - T4 are the recurrent events (time in months from index for each > subject) > http://r.789695.n4.nabble.com/file/n2546047/recmi.txt recmi.txt > thanks in advance, > Avi > -- > View this message in context: > http://r.789695.n4.nabble.com/Create-Dot-Chart-tp2545921p2546047.html > Sent from the R help mailing list archive at Nabble.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. -- Joshua Wiley Ph.D. Student, Health Psychology University of California, Los Angeles http://www.joshuawiley.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.