[R] boxplot via plot command
Antje
niederlein-rstat at yahoo.de
Tue Dec 2 10:06:53 CET 2008
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
markleeds at verizon.net 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 at 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.
>
More information about the R-help
mailing list