Re: [R] boxplot via plot command
Antje niederlein-rstat at yahoo.de writes: I've just discovered that the following code leads to boxplot (surprisingly to me). Can anybody explain to me why? Is this documented somewhere? I've never consider this option before. x - rnorm(300) l - c(rep(label1,100), rep(label2,50), rep(label3,150)) df - data.frame(as.factor(l), x) plot(df) Just to complete my response, the documentation for plot.data.frame indicates For a two-column data frame it plots the second column against the first by the most appropriate method for the first column. kk -- Ken Knoblauch Inserm U846 Institut Cellule Souche et Cerveau Département Neurosciences Intégratives 18 avenue du Doyen Lépine 69500 Bron France tel: +33 (0)4 72 91 34 77 fax: +33 (0)4 72 91 34 61 portable: +33 (0)6 84 10 64 10 http://www.sbri.fr __ 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.
Re: [R] boxplot via plot command
Hi, thank you both for your response. I don't want to do anything like this - I just got some code like this from someone else and was wondering about the result. I would have used another approach to create a boxplot like this... Ciao, Antje [EMAIL PROTECTED] schrieb: hi: i'm not well versed in the OO mechanism behind R but you've created a dataframe with one column being factors so, when the plot command sees this, there must be code in the plot generic that decided that the best thing to use is a boxplot. I'm not sure what you want since you have 3 factors but below is a guess ? I split by the factor and then plot the values seperately with the colors denoting the factors ? if it's not what you want, then i would resend your question to the list explaining what you do want because there are others on this list that can probably help you more than i can. good luck. x - rnorm(300) l - c(rep(label1,100), rep(label2,50), rep(label3,150)) df - data.frame(l=as.factor(l), x) print(df) print(str(df)) temp - split(df,df$l) plot(temp[[1]]$x,ylim=c(min(temp[[1]]$x,temp[[2]]$x,temp[[3]]$x), max(temp[[1]]$x,temp[[2]]$x,temp[[3]]$x)),col=green) lines(temp[[2]]$x,type=p,col=blue) lines(temp[[3]]$x,type=p,col=red) On Tue, Dec 2, 2008 at 3:30 AM, Antje wrote: Hi folks, I've just discovered that the following code leads to boxplot (surprisingly to me). Can anybody explain to me why? Is this documented somewhere? I've never consider this option before. x - rnorm(300) l - c(rep(label1,100), rep(label2,50), rep(label3,150)) df - data.frame(as.factor(l), x) plot(df) Thank you! Antje __ 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.
Re: [R] boxplot via plot command
Hi, Antje niederlein-rstat at yahoo.de writes: Hi folks, I've just discovered that the following code leads to boxplot (surprisingly to me). Can anybody explain to me why? Is this documented somewhere? I've never consider this option before. x - rnorm(300) l - c(rep(label1,100), rep(label2,50), rep(label3,150)) df - data.frame(as.factor(l), x) plot(df) Thank you! Antje You can follow this through the various methods. If you look at plot.data.frame getAnywhere(plot.data.frame) You'll see that when the data.frame has only 2 columns, it calls plot with the first two arguments. Since the first argument here is a factor, it dispatches to the plot.factor method getAnywhere(plot.factor) from which you'll see that under your circumstances it will call boxplot HTH, Ken __ 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.
