If you have your data organized in a matrix like the one printed at the bottom of your jpg, barplot will produce the same graph:
> set.seed(42) > a <- matrix(round(runif(45)*100, 0), nrow=5, ncol=9) > a [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [1,] 91 52 46 94 90 51 74 83 38 [2,] 94 74 72 98 14 39 81 1 44 [3,] 29 13 93 12 99 91 39 21 4 [4,] 83 66 26 47 95 45 69 91 97 [5,] 64 71 46 56 8 84 0 61 43 > barplot(a) > barplot(a, beside=TRUE) ------------------------------------------------- David L. Carlson Associate Professor of Anthropology Texas A&M University College Station, TX 77840 -----Original Message----- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Macy Anonuevo Sent: Tuesday, October 23, 2012 8:32 AM To: r-help@r-project.org Subject: Re: [R] plotting multiple variables in 1 bar graph Thank you for replying. On Tue, Oct 23, 2012 at 9:11 PM, PIKAL Petr [via R] < ml-node+s789695n4647131...@n4.nabble.com> wrote: > Hi > > > > -----Original Message----- > > From: [hidden email]<http://user/SendEmail.jtp?type=node&node=4647131&i=0>[mailto: > r-help-bounces@r- > > project.org] On Behalf Of Macy Anonuevo > > Sent: Tuesday, October 23, 2012 10:23 AM > > To: [hidden email]<http://user/SendEmail.jtp?type=node&node=4647131&i=1> > > Subject: [R] plotting multiple variables in 1 bar graph > > > > I'd greatly appreciate your help in making a bar graph with multiple > > variables plotted on it. All the help sites I've seen so far only plot > > 1 variable on the y-axis > > > > Data set: > > I have 6 sites, each measured 5 times over the past year. During each > > sampling time, I counted the occurrences of different benthic > > components (coral, dead coral, sand, etc.) over 5 transects in each > > site > > > > site time transect coral deadcoral sand rubble > > ..... > > S1 time1 trans1 10 15 10 > > 4 > > S1 time1 trans2 5 4 10 > > 6 > > S1 time1 trans3 10 2 5 > > 7 > > . > > . > > . > > S5 time5 trans5 6 3 1 > > 6 > > > > I used aggregate to get the means of the individual variables (coral, > > dead coral, etc.) using the site and time as grouping factors. > > > > aggregate.plot(deadcoral, by=list(SITE=site, TIME=time), FUN=c("mean"), > > error=c("sd"), legend.site="topright", bar.col=rainbow(6)) > > Where is aggregate.plot from? > >> from the epicalc package. > > > > > What I need now is to plot all the variables in 1 site as they change > > over time. > > Something like > > barplot(VADeaths, beside = TRUE, > col = c("lightblue", "mistyrose", "lightcyan", > "lavender", "cornsilk"), > legend = rownames(VADeaths), ylim = c(0, 100)) > title(main = "Death Rates in Virginia", font.main = 4) > >> If I understand the code correctly, this means that only the variable "VADeaths" is plotted over time? I'm hoping to have multiple variables plotted over time, with the bars clustered by variable so that you can see how each variable changes over time. > > > or maybe you could try ggplot2 > >> I tried looking through ggplot2 and I don't understand the code. I don't even know where to start. > > Regards > Petr > > > > > > > What Excel produced: > > <http://r.789695.n4.nabble.com/file/n4647099/abdeens_benthic_cover.jpg> > > (The image has mean %cover as the y-value instead of mean count but the > > example still applies) > > > > I've spent several hours looking for code to do this but didn't find > > anything. I'd use the Excel graph except that it doesn't have the sd or > > se bars. > > > > > > > > > > -- > > View this message in context: http://r.789695.n4.nabble.com/plotting- > > multiple-variables-in-1-bar-graph-tp4647099.html > > Sent from the R help mailing list archive at Nabble.com. > > > > ______________________________________________ > > [hidden email] <http://user/SendEmail.jtp?type=node&node=4647131&i=2>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. > > ______________________________________________ > [hidden email] <http://user/SendEmail.jtp?type=node&node=4647131&i=3>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. > > > ------------------------------ > If you reply to this email, your message will be added to the discussion > below: > > http://r.789695.n4.nabble.com/plotting-multiple-variables-in-1-bar-graph -tp4647099p4647131.html > To unsubscribe from plotting multiple variables in 1 bar graph, click > here<http://r.789695.n4.nabble.com/template/NamlServlet.jtp?macro=unsubs cribe_by_code&node=4647099&code=cmFkaWFudC5zdGFyc0BnbWFpbC5jb218NDY0NzA5 OXwtNDIxODQ0NzMx> > . > NAML<http://r.789695.n4.nabble.com/template/NamlServlet.jtp?macro=macro_ viewer&id=instant_html%21nabble%3Aemail.naml&base=nabble.naml.namespaces .BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web .template.NodeNamespace&breadcrumbs=notify_subscribers%21nabble%3Aemail. naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3A email.naml> > -- Geekerie Shirts: shirts for the pop culture junkie - http://geekerie.multiply.com Sustainability in action: the official website of El Nido Resorts' Environment Department - http://elnidoenvironment.wordpress.com -- View this message in context: http://r.789695.n4.nabble.com/plotting-multiple-variables-in-1-bar-graph -tp4647099p4647134.html Sent from the R help mailing list archive at Nabble.com. [[alternative HTML version deleted]] ______________________________________________ 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. ______________________________________________ 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.