<no subject>
On 12/14/05 9:14 PM, "Marco Blanchette" <mblanche at berkeley.edu> wrote:
Dear all,
I am still fairly new to R and try to analyze large tables of data generated
from genomic experiment. Currently, I am trying to plot pair of experiments
coming from different file, trying to look at the behavior of individual
feature in pair of experiment.
My problem is that I have independent list from different source and I would
like to plot the pair of value using a common key. As in this simplified
version:
table1 = list(CGID=c("CG_1","CG_3","CG_2", "CG_4", "CG_5"),
diff=c(3,5,6,4,3))
table2 = list(CGID=c("CG_2","CG_3","CG_4", "CG_1", "CG_5"),
diff=c(4,6,3,9,10))
How can link the two table trough the CGIDC column and plot the data from
the 2 tables.
table1 <- data.frame( CGID=c("CG_1","CG_3","CG_2", "CG_4", "CG_5"),
diff=c(3,5,6,4,3))
table2 <- data.frame( CGID=c("CG_2","CG_3","CG_4", "CG_1", "CG_5"),
diff=c(4,6,3,9,10))
table.merged <- merge(table1,table2,by.x=1,by.y=1)
In other words, use a data.frame here and then use merge.
Does that do it?
Sean