On 09/25/2009 04:28 AM, FMH wrote:
Dear All,
Let:
dp: depth of the river
tp: temperature with respect to depth
These pair of observations are in 3 different groups i.e:
Obs. 1,3,5,7 from the first group
Obs. 2,4 and 10 from second group
Obs 6,8 and 9 from third group.
We can have a simple scatter plot, between depth as y-axis and temperature as
x-axis, with each pairs are denoted by a red dot, by using a plot function
shown below.
#####################
dp<- c(1,4,3,2,5,7,9,8,9,2)
tp<- 1:10
plot(tp,dp, type= 'p', col = 'red')
#####################
Could someone please give some advices on the way to have a plot in which the
color of each pair of observation corrrespond to its group? For instance, we
might have red, blue and green dots corresponding to groups 1,2 and 3,
respectively.
Hi Fir,
You can do it manually like this:
plot(tp,dp,type="p",col=c("red","blue","red","blue","red","green",
"red","green","green","blue"))
but it is a lot easier if there is a variable that identifies which
group contains each observation:
obs.group<-c(1,2,1,2,1,3,1,3,3,2)
plot(tp,dp,type="p",col=c("red","blue","green")[obs.group])
If you want the color to be scaled to one of the variables:
plot(tp,dp,type="p",
col=color.scale(tp,extremes=c("blue","red")))
Jim
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