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Bogdan Tanasa

2017-Jun-06 05:51 UTC

[R] 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
> >
> >         [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > 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.
>
	[[alternative HTML version deleted]]

Jim Lemon

2017-Jun-06 11:01 UTC

head link

[R] integrating 2 lists and a data frame in R

Hi Bogdan,
Kinda messy, but:

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))
MN<-as.data.frame(matrix(NA,nrow=length(N[,1]),ncol=length(M[,1])))
names(MN)<-M[,1]
rownames(MN)<-N[,1]
C[,1]<-as.character(C[,1])
C[,2]<-as.character(C[,2])
for(row in 1:dim(C)[1]) MN[C[row,1],C[row,2]]<-C[row,3]

Jim

On Tue, Jun 6, 2017 at 3:51 PM, Bogdan Tanasa <tanasa at gmail.com>
wrote:> 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
>> >
>> >         [[alternative HTML version deleted]]
>> >
>> > ______________________________________________
>> > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more,
see
>> > 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.
>>
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> 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.

Bogdan Tanasa

2017-Jun-06 14:30 UTC

head link

[R] integrating 2 lists and a data frame in R

Thank you Jim !

On Tue, Jun 6, 2017 at 4:01 AM, Jim Lemon <drjimlemon at gmail.com> wrote:
> Hi Bogdan,
> Kinda messy, but:
>
> 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))
> MN<-as.data.frame(matrix(NA,nrow=length(N[,1]),ncol=length(M[,1])))
> names(MN)<-M[,1]
> rownames(MN)<-N[,1]
> C[,1]<-as.character(C[,1])
> C[,2]<-as.character(C[,2])
> for(row in 1:dim(C)[1]) MN[C[row,1],C[row,2]]<-C[row,3]
>
> Jim
>
> On Tue, Jun 6, 2017 at 3:51 PM, Bogdan Tanasa <tanasa at gmail.com>
wrote:
> > 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
> >> >
> >> >         [[alternative HTML version deleted]]
> >> >
> >> > ______________________________________________
> >> > R-help at r-project.org mailing list -- To UNSUBSCRIBE and
more, see
> >> > 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.
> >>
> >
> >         [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > 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.
>
	[[alternative HTML version deleted]]

David L Carlson

2017-Jun-06 14:34 UTC

head link

[R] integrating 2 lists and a data frame in R

Here's another approach:

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))

# Rebuild the factors using M and N
C$m <- factor(as.character(C$m), levels=levels(M$M))
C$n <- factor(as.character(C$n), levels=levels(N$N))
MN <- xtabs(I~m+n, C)
print(MN, zero.print="-")
#     n
# m     n1  n2  n3 n4
#   m1 100 300   -  -
#   m2   -   -   -  -
#   m3   -   - 400  -
#   m4   -   -   -  -
#   m5   -   -   -  -

class(MN)
# [1] "xtabs" "table"
# MN is a table. If you want a data.frame
MN <- as.data.frame.matrix(MN)
class(MN)
# [1] "data.frame"

-------------------------------------
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-4352

-----Original Message-----
From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Jim Lemon
Sent: Tuesday, June 6, 2017 6:02 AM
To: Bogdan Tanasa <tanasa at gmail.com>; r-help mailing list <r-help at
r-project.org>
Subject: Re: [R] integrating 2 lists and a data frame in R

Hi Bogdan,
Kinda messy, but:

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))
MN<-as.data.frame(matrix(NA,nrow=length(N[,1]),ncol=length(M[,1])))
names(MN)<-M[,1]
rownames(MN)<-N[,1]
C[,1]<-as.character(C[,1])
C[,2]<-as.character(C[,2])
for(row in 1:dim(C)[1]) MN[C[row,1],C[row,2]]<-C[row,3]

Jim

On Tue, Jun 6, 2017 at 3:51 PM, Bogdan Tanasa <tanasa at gmail.com>
wrote:> 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
>> >
>> >         [[alternative HTML version deleted]]
>> >
>> > ______________________________________________
>> > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more,
see
>> > 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.
>>
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> 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.
______________________________________________
R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
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.

David Winsemius

2017-Jun-06 14:44 UTC

head link

[R] integrating 2 lists and a data frame in R

> On Jun 6, 2017, at 4:01 AM, Jim Lemon <drjimlemon at gmail.com>
wrote:
> 
> Hi Bogdan,
> Kinda messy, but:
> 
> 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))
> MN<-as.data.frame(matrix(NA,nrow=length(N[,1]),ncol=length(M[,1])))
> names(MN)<-M[,1]
> rownames(MN)<-N[,1]
> C[,1]<-as.character(C[,1])
> C[,2]<-as.character(C[,2])
> for(row in 1:dim(C)[1]) MN[C[row,1],C[row,2]]<-C[row,3]
`xtabs` offers another route:

C$m <- factor(C$m, levels=M$M)
C$n <- factor(C$n, levels=N$N)

Option 1:  Zeroes in the empty positions:> (X <- xtabs(I ~ m+n , C, addNA=TRUE))    n
m     n1  n2  n3  n4
  m1 100 300   0   0
  m2   0   0   0   0
  m3   0   0 400   0
  m4   0   0   0   0
  m5   0   0   0   0

Option 2: Sparase matrix> (X <- xtabs(I ~ m+n , C, sparse=TRUE))5 x 4 sparse Matrix of class "dgCMatrix"
    n
m     n1  n2  n3 n4
  m1 100 300   .  .
  m2   .   .   .  .
  m3   .   . 400  .
  m4   .   .   .  .
  m5   .   .   .  .

I wasn't sure if the sparse reuslts of xtabs would make a distinction
between 0 and NA, but happily it does:
> C <- data.frame(n=c("n1","n2","n3",
"n3", "n4"),
m=c("m1","m1","m3", "m4",
"m5"), I=c(100,300,400, NA, 0))
> C   n  m   I
1 n1 m1 100
2 n2 m1 300
3 n3 m3 400
4 n3 m4  NA
5 n4 m5   0> (X <- xtabs(I ~ m+n , C, sparse=TRUE))4 x 4 sparse Matrix of class "dgCMatrix"
    n
m     n1  n2  n3 n4
  m1 100 300   .  .
  m3   .   . 400  .
  m4   .   .   .  .
  m5   .   .   .  0

(In the example I forgot to repeat the lines that augmented the factor levels so
m2 is not seen.

-- 
Davod> 
> 
> Jim
> 
> On Tue, Jun 6, 2017 at 3:51 PM, Bogdan Tanasa <tanasa at gmail.com>
wrote:
>> 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
>>>> 
>>>>        [[alternative HTML version deleted]]
>>>> 
>>>> ______________________________________________
>>>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and
more, see
>>>> 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.
>>> 
>> 
>>        [[alternative HTML version deleted]]
>> 
>> ______________________________________________
>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> 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.
> 
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> 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.
David Winsemius
Alameda, CA, USA

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