R help - Jun 2010 - best way to plot a evolution in time

Hi everyone,
I have the following question:
given three objects let's say:
a <- c( 2 , 5, 15, 16)
b <- c(1 ,1, 8 , 8)
c <- c (10, 10 11 ,11)
m<-matrix(c(a,b,c),byrow=T,nrow=3)
rownames(m)<-c("gene a", 'gene b','gene c')
m
gene.dist<-dist(m,method='euclidian')
gene.dist
 which is the best way to plot their evolution in time? shoul I use a
levelplot or just a normal plot? if I use a normal plot how do I plot
evolution in time?

-- 
View this message in context:
http://r.789695.n4.nabble.com/best-way-to-plot-a-evolution-in-time-tp2267993p2267993.html
Sent from the R help mailing list archive at Nabble.com.

Hi Nana,

The question is not fully clear to me.

Are you looking to plot the (let's call it) "family tree" of the
genes ?

(if so, then using
plot(hclust(gene.dist))
Might be a direction for you)

Tal


----------------Contact
Details:-------------------------------------------------------
Contact me: Tal.Galili@gmail.com |  972-52-7275845
Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) |
www.r-statistics.com (English)
----------------------------------------------------------------------------------------------




On Fri, Jun 25, 2010 at 8:56 AM, nana <adriana_five@yahoo.co.uk> wrote:
> a <- c( 2 , 5, 15, 16)
> b <- c(1 ,1, 8 , 8)
> c <- c (10, 10 11 ,11)
> m<-matrix(c(a,b,c),byrow=T,nrow=3)
> rownames(m)<-c("gene a", 'gene b','gene c')
> m
> gene.dist<-dist(m,method='euclidian')
> gene.dist
>
	[[alternative HTML version deleted]]