I have a dataframe that is a column with all the state abbreviations:
Name
AK
AL
AR
AZ
CO
CT
DC
FL
I want to take this column and split it into multiple columns such that no column has more than 5 cells.
Name1    Name2
AK       CT
AL       DC
AR       FL
AZ
CO
I can create the code for what I want to do, but there has to be a better way:
states <- as.data.frame(state.abb)
new.table <- as.data.frame(states[1:5,])
i <- 6
k <- 2
repeat{
  new.table[,k] <- as.data.frame(states[(i):(i+4),])
  i <- i + 5
  k <- k + 1
  if(i>nrow(states)){
    break
  }
}
                Similar to @RichScriven's concept, but using a matrix to deal with the reshaping:
columniser <- function(x, n) {
  m <- matrix(NA, nrow=n, ncol=ceiling(length(x)/n) )
  m[1:length(x)] <- x
  as.data.frame(m)
}
columniser(states$state.abb, 5)
#  V1 V2 V3 V4 V5 V6 V7 V8 V9 V10
#1 AL CO HI KS MA MT NM OK SD  VA
#2 AK CT ID KY MI NE NY OR TN  WA
#3 AZ DE IL LA MN NV NC PA TX  WV
#4 AR FL IN ME MS NH ND RI UT  WI
#5 CA GA IA MD MO NJ OH SC VT  WY
columniser(1:12, 5)
#  V1 V2 V3
#1  1  6 11
#2  2  7 12
#3  3  8 NA
#4  4  9 NA
#5  5 10 NA
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