Try these three options,

 dp <- c(1,4,3,2,5,7,9,8,9,2)
 tp <- 1:10
 group <- factor(c(1, 2, 1, 2, 1, 3, 1, 3, 3, 2), label=letters[1:3])

plot(tp,dp, type= 'p', col = group)

d <- data.frame(dp=dp, tp=tp, group=group)

library(lattice)
 xyplot(dp~tp, data=d, groups=group, auto.key=TRUE)

library(ggplot2)
qplot(tp, dp, data=d, colour=group)

HTH,

baptiste


2009/9/24 FMH <kagba2...@yahoo.com>:
> 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.
>
>
> Thank you
> Fir
>
>
>
>
> ______________________________________________
> R-help@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.
>

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