[R] ordering a boxplot

Antonio Silva aolinto.lst at gmail.com
Sun Mar 22 23:01:00 CET 2015


Dear Boris,

Thanks very much, have a great week.

Best regards

Antônio Olinto
Fisheries Institute
São Paulo, Brasil



2015-03-21 21:09 GMT-03:00 Boris Steipe <boris.steipe em utoronto.ca>:

> ... just for completeness - the more concise way: (no need to go through
> names()).
>
> boxplot(mydata[,order(apply(mydata,2,median))])
>
> ... or descending
> boxplot(mydata[,order(-apply(mydata,2,median))])
>
>
>
>
> B.
>
>
>
> On Mar 21, 2015, at 7:04 PM, Boris Steipe <boris.steipe em utoronto.ca>
> wrote:
>
> > There may be more concise ways to do this - but you are 99% there with
> your approach:
> > try:
> >
> > boxplot(mydata[,names(sort(apply(mydata,2,median)))])
> >
> > B.
> >
> >
> > On Mar 21, 2015, at 6:49 PM, Antonio Silva <aolinto.lst em gmail.com>
> wrote:
> >
> >> Thanks Bill and David
> >>
> >> Here goes an example
> >>
> >> SP1<-c(9,6,7,8,5,8,7,5,9,7)
> >> SP2<-c(1,3,4,2,4,2,5,3,2,1)
> >> SP3<-c(4,6,7,5,7,8,7,6,5,4)
> >> SP4<-c(5,4,3,5,2,3,4,3,4,2)
> >> mydata<-data.frame(SP1,SP2,SP3,SP4)
> >>
> rownames(mydata)<-c("ST1","ST2","ST3","ST4","ST5","ST6","ST7","ST8","ST9","ST10")
> >> mydata
> >> boxplot(mydata)
> >>
> >> Note that this data frame does not have the format Response ~ Group. In
> my
> >> real matrix I have up to 40 species.
> >>
> >> Is there any way to have the species ordered by their median abundance
> (or
> >> other parameter?)
> >>
> >> The desired order is given by names(sort(apply(mydata,2,median)))
> >>
> >> Thanks once more,
> >>
> >> Antonio Olinto
> >> Fisheries Institute
> >> Sao Paulo, Brazil
> >>
> >> 2015-03-21 15:13 GMT-03:00 William Dunlap <wdunlap em tibco.com>:
> >>
> >>> You can use the reorder() function to reorder the grouping vector's
> >>> factor levels according to a function of the data in each group.  E.g.,
> >>> compare the following two plots:
> >>>
> >>>  d <- data.frame(Response=cos(1:15),
> Group=rep(c("A","B","C"),c(6,5,4)))
> >>>  par(mfrow=c(1,2))
> >>>  boxplot(Response ~ Group, data=d)
> >>>  boxplot(Response ~ reorder(Group, X=Response, FUN=median), data=d)
> >>>
> >>>
> >>> Bill Dunlap
> >>> TIBCO Software
> >>> wdunlap tibco.com
> >>>
> >>> On Fri, Mar 20, 2015 at 2:20 PM, Antonio Silva <aolinto.lst em gmail.com>
> >>> wrote:
> >>>
> >>>> Hello
> >>>>
> >>>> I'm using a dataframe (mydata) where row names are sampling points and
> >>>> column names are species in a multivariate analysis.
> >>>>
> >>>> If I write boxplot(mydata) I'll have boxplots for each species
> abundance
> >>>> in
> >>>> alphabetical order.
> >>>>
> >>>> How to get the boxes orderer by the median?
> >>>>
> >>>> Usually for this I write
> >>>>
> >>>>
> boxplot(value~category,at=rank(tapply(mydata$value,mydata$category,median)))
> >>>> but for this to work I need a column for the categories and another
> column
> >>>> for the values.
> >>>>
> >>>> Thanks in advance, best regards.
> >>>>
> >>>> Antonio Olinto
> >>>>
> >>>>       [[alternative HTML version deleted]]
> >>>>
> >>>> ______________________________________________
> >>>> R-help em r-project.org mailing list -- To UNSUBSCRIBE and more, see
> >>>> 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.
> >>>>
> >>>
> >>>
> >>
> >>      [[alternative HTML version deleted]]
> >>
> >> ______________________________________________
> >> R-help em r-project.org mailing list -- To UNSUBSCRIBE and more, see
> >> 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 em r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > 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.
>
>

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