On 12/12/2011 06:00 PM, Nicola Van Wilgen wrote:
Dear fellow R users,
I would like to draw a "sunflowerplot" because I have data (decade by
month) that plots multiple times on the same x-y co-ordinates. Further I
would like to colour each of the points/sunflower leaves on the plot
according to the group they belong to (i.e. which type of event each
represents within that decade and month). I thought that this would be
relatively straight forward - I have a series of x and y co-ords and a
colour associated with each and I just use the column with the colours
in it to colour-code the points using col = column.name when calling the
plot.
However, the sunflower plot uses the function "xy.coords" to calculate
the number of times that multiple points are plotted at the same
coordinates and in so doing creates a new dataset (x.coords, y.coords
and the number of times each is repeated) and this dataset no longer has
the colours associated with the individual points. The colours in a
resultant plot merely plot in the original order.
I would like to know whether there is a way of associating the correct
colours with individual points that are now represented by the xy.coords
output.
Hi Nicola,
I couldn't figure out a way to make sunflowerplot use the original
colors, but this might help you:
extremes.decade<-
read.csv("extremes_decade.csv",stringsAsFactors=FALSE)
library(plotrix)
extreme.clusters<-
cluster.overplot(extremes.decade$Decade,extremes.decade$Month,
col=extremes.decade$Extreme)
plot(extreme.clusters,col=extreme.clusters$col)
Jim
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