integrating 2 lists and a data frame in R

Dear Bert,

thank you for your response. here it is the piece of R code : given 3 data
frames below ---

N <- data.frame(N=c("n1","n2","n3","n4"))

M <- data.frame(M=c("m1","m2","m3","m4","m5"))

C <- data.frame(n=c("n1","n2","n3"), m=c("m1","m1","m3"), I=c(100,300,400))

how shall I integrate N, and M, and C in such a way that at the end we have
a data frame with :


   - list N as the columns names
   - list M as the rows names
   - the values in the cells of N * M, corresponding to the numerical
   values in the data frame C.

more precisely, the result shall be :

     n1  n2  n3 n4
m1  100  200   -   -
m2   -   -   -   -
m3   -   -   300   -
m4   -   -   -   -
m5   -   -   -   -

thank you !


On Mon, Jun 5, 2017 at 6:57 PM, Bert Gunter <bgunter.4567 at gmail.com> wrote:

Reproducible example, please. -- In particular, what exactly does C look
ilike?

(You should know this by now).

-- Bert
Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Mon, Jun 5, 2017 at 6:45 PM, Bogdan Tanasa <tanasa at gmail.com> wrote:

 Dear all,

please could you advise on the R code I could use in order to do the
following operation :

a. -- I have 2 lists of "genome coordinates" : a list is composed by
numbers that represent genome coordinates;

let's say list N :

n1

n2

n3

n4

and a list M:

m1

m2

m3

m4

m5

2 -- and a data frame C, where for some pairs of coordinates (n,m) from

the

lists above, we have a numerical intensity;

for example :

n1; m1; 100

n1; m2; 300

The question would be : what is the most efficient R code I could use in
order to integrate the list N, the list M, and the data frame C, in order
to obtain a DATA FRAME,

-- list N as the columns names
-- list M as the rows names
-- the values in the cells of N * M, corresponding to the numerical

values

in the data frame C.

A little example would be :

      n1  n2  n3 n4

      m1  100  -   -   -

      m2  300  -   -   -

      m3   -   -   -   -

      m4   -   -   -   -

      m5   -   -   -   -
I wrote a script in perl, although i would like to do this in R
Many thanks ;)
-- bogdan

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