Perhaps,

apply(combn(letters[1:4],2), 2, paste,collapse="")

Hope this helps,

baptiste
On 16 Apr 2009, at 17:33, Juergen Rose wrote:

Am Donnerstag, den 16.04.2009, 10:59 -0400 schrieb David Winsemius:

Thanks David,

is there also a shorter way to get the columns names of the new data
frames?

Juergen

On Apr 16, 2009, at 10:14 AM, Juergen Rose wrote:

Hi,

as a R-newcomer I would like to create some new data frames from a
given
data frame. The first new data frame should content all pairs of the
columns of the original data frame. The second new data frame should
content all tripels of of the columns of the original data frame and
the
last the quadrupel of columns. The values in the new data frames
should
be the product of two, three our four original single field values.
For
pairs and tripels I could realize that task, with the following R
script:

Lines <- "a    b    c    d
  13     0    15   16
  23    24    25    0
  33    34     0   36
   0    44    45   46
  53    54     0   55"

DF <- read.table(textConnection(Lines), header = TRUE)

nrow <-length(rownames(DF))
cnames <- colnames(DF)
nc <-length(DF)

nc.pairs <- nc*(nc-1)/2
#  initialize vector
cnames.new <- c(rep("",nc.pairs))
ind <- 1
print(sprintf("nc=%d",nc))
for (i in 1:(nc-1)) {
if (i+1 <= nc ) {
  for (j in (i+1):nc) {
    cnames.new[ind] <- paste(cnames[i],cnames[j],sep="")
    ind <- ind+1
  }
}
}

ind <- 1
#  initialize data.frame
pairs <- data.frame(matrix(c(rep(0,nc.pairs*nrow)),ncol=nc.pairs))
for (i in 1:nc) {
if (i+1 <= nc ) {
  for (j in (i+1):nc) {
    t <- DF[,i] * DF[,j]
    pairs[[ind]] <- t
    ind <- ind+1
  }
}
}
colnames(pairs) <- cnames.new
print("pairs=");   print(pairs)

apply(combn(colnames(DF),2), 2, function(x) DF[,x[1]]*DF[,x[2]] )
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0  195  208    0    0  240
[2,]  552  575    0  600    0    0
[3,] 1122    0 1188    0 1224    0
[4,]    0    0    0 1980 2024 2070
[5,] 2862    0 2915    0 2970    0


nc.tripels <- nc*(nc-1)*(nc-2)/6
#  initialize vector
cnames.new <- c(rep("",nc.tripels))
ind <- 1
print(sprintf("nc=%d",nc))
for (i in 1:nc) {
if (i+1 <= nc ) {
  for (j in (i+1):nc) {
    if (j+1 <= nc ) {
      for (k in (j+1):nc) {
        cnames.new[ind] <-
paste(cnames[i],cnames[j],cnames[k],sep="")
        ind <- ind+1
      }
    }
  }
}
}

ind <- 1
#  initialize data.frame
tripels <-
data.frame(matrix(c(rep(0,nc.tripels*nrow)),ncol=nc.tripels))
for (i in 1:(nc-1)) {
if (i+1 <= nc ) {
  for (j in (i+1):nc) {
    if (j+1 <= nc ) {
      for (k in (j+1):nc) {
        t <- DF[,i] * DF[,j] * DF[,k]
        tripels[[ind]] <- t
        ind <- ind+1
      }
    }
  }
}
}
colnames(tripels) <-  cnames.new
print("tripels=");   print(tripels)

apply(combn(colnames(DF),3), 2, function(x)
DF[,x[1]]*DF[,x[2]]*DF[,x[3]])
      [,1]   [,2] [,3]  [,4]
[1,]     0      0 3120     0
[2,] 13800      0    0     0
[3,]     0  40392    0     0
[4,]     0      0    0 91080
[5,]     0 157410    0     0



I suppose that here is a much shorter way to get the same results. Any
hint is very much appreciated.

David Winsemius, MD
Heritage Laboratories
West Hartford, CT


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_____________________________

Baptiste AuguiƩ

School of Physics
University of Exeter
Stocker Road,
Exeter, Devon,
EX4 4QL, UK

Phone: +44 1392 264187

http://newton.ex.ac.uk/research/emag

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