From your post it is not clear how the data are organized. Supposing
they are in a data frame you could use the ~ sintax.
For example:
timeColumn=as.Date("01-01-1970") + 1:500
timeSeries=rnorm(500)
df=data.frame(time=timeColumn, index=timeSeries)
> > head(df)
> time index
> 1 1-01-20 -0.6382554
> 2 1-01-21 -2.0346649
> 3 1-01-22 -0.4900213
> 4 1-01-23 0.7311806
> 5 1-01-24 0.9386528
> 6 1-01-25 0.7868129
boxplot(index~months(time), data=df)
Perhaps you would order the 12 boxes according to the months:
monthColumn=ordered(months(df$time), levels= c("January", "February",
"March",
"April", "May", "June", "July", "August", "September",
"October", "November", "December"))
boxplot(df$index~monthColumn)
domenico
[EMAIL PROTECTED] wrote:
> Hi all,
>
> I'm trying to plot my daily time series, with 3650 observations( 10 years),
> with boxplot but I want 12 boxes, one for each month, can anyone help me
> doing that.
>
> Best regards
>
> ______________________________________________
> R-help@r-project.org mailing list
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> 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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